Description: The abundance of different plant life forms provides information about the dominance hierarchy and structural diversity in the ecosystem. The Tree to Shrub Ratio indicates the relative abundance of the two major woody plant types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: The abundance of different plant life forms provides information about the dominance hierarchy and structural diversity in the ecosystem. The Tree to Shrub Ratio indicates the relative abundance of the two major woody plant types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high severity fire) to a forest dominated by trees in the upper age classes for a given forest type. Late seral forests are also often characterized by multiple ages of forest trees and dead and dying trees in some form of equilibrium. Seral conditions across landscapes were highly variable prior to major European settlement in the western US. These patterns were highly attuned to dominant disturbance regimes and the multi-scaled variability in environmental conditions across topographic and climatic gradients. These patterns helped to reinforce fire regimes dominated by low- to moderate-severity fire across much of the region and provided for multiple habitat requirements for a wide variety of species.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Integer, 1 to 3
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high severity fire) to a forest dominated by trees in the upper age classes for a given forest type. Late seral forests are also often characterized by multiple ages of forest trees and dead and dying trees in some form of equilibrium. Seral conditions across landscapes were highly variable prior to major European settlement in the western US. These patterns were highly attuned to dominant disturbance regimes and the multi-scaled variability in environmental conditions across topographic and climatic gradients. These patterns helped to reinforce fire regimes dominated by low- to moderate-severity fire across much of the region and provided for multiple habitat requirements for a wide variety of species.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Integer, 1 to 3
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high severity fire) to a forest dominated by trees in the upper age classes for a given forest type. Late seral forests are also often characterized by multiple ages of forest trees and dead and dying trees in some form of equilibrium. Seral conditions across landscapes were highly variable prior to major European settlement in the western US. These patterns were highly attuned to dominant disturbance regimes and the multi-scaled variability in environmental conditions across topographic and climatic gradients. These patterns helped to reinforce fire regimes dominated by low- to moderate-severity fire across much of the region and provided for multiple habitat requirements for a wide variety of species.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - Early seral stage conditions are a proportion (0 - 1) of the entire HUC12. The normalized early seral stage values are rescaled based on the full range of potential values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns over conversion of large areas of mature forest to early forest, with lower values considered more favorable.--------Late seral stage conditions are a proportion (0 - 1) of the entire HUC12. The normalized late seral stage values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concerns over loss of late seral conditions, with higher values considered more favorable.----------------- Unit Of Measure: Integer, 1 to 3
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high severity fire) to a forest dominated by trees in the upper age classes for a given forest type. Late seral forests are also often characterized by multiple ages of forest trees and dead and dying trees in some form of equilibrium. Seral conditions across landscapes were highly variable prior to major European settlement in the western US. These patterns were highly attuned to dominant disturbance regimes and the multi-scaled variability in environmental conditions across topographic and climatic gradients. These patterns helped to reinforce fire regimes dominated by low- to moderate-severity fire across much of the region and provided for multiple habitat requirements for a wide variety of species.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Integer, 1 to 3
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The seral stages are categories that represent the developmental progression of forest ecosystems from initial establishment or following a stand replacing event (e.g., high severity fire) to a forest dominated by trees in the upper age classes for a given forest type. Late seral forests are also often characterized by multiple ages of forest trees and dead and dying trees in some form of equilibrium. Seral conditions across landscapes were highly variable prior to major European settlement in the western US. These patterns were highly attuned to dominant disturbance regimes and the multi-scaled variability in environmental conditions across topographic and climatic gradients. These patterns helped to reinforce fire regimes dominated by low- to moderate-severity fire across much of the region and provided for multiple habitat requirements for a wide variety of species.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - Early seral stage conditions are a proportion (0 - 1) of the entire HUC12. The normalized early seral stage values are rescaled based on the full range of potential values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns over conversion of large areas of mature forest to early forest, with lower values considered more favorable.--------Late seral stage conditions are a proportion (0 - 1) of the entire HUC12. The normalized late seral stage values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concerns over loss of late seral conditions, with higher values considered more favorable.----------------- Unit Of Measure: Integer, 1 to 3
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Insect- and disease-caused tree mortality was compiled at the 30 m scale from the Ecosystem Disturbance and Recovery Tracker (eDaRT; Koltunov et al. 2020), described in the Introduction, 2021 Data Products section. This metric represents 2021 status of cumulative tree mortality occurring years 2017-2021. There are two versions of tree mortality, one represents the last 5 years, the other represents the last 1 year. Tree mortality, that since its occurrence, was affected by fire or land management activities was removed. This metric is provided to complement data (in terms of spatial resolution and canopy cover loss estimates) available from the Region 5 Insect and Disease Survey that performs aerial detection monitoring in support of tracking tree mortality that includes affected hosts and agents (available at: https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent of 30m pixel (absolute, not relative, value)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Cumulative Tree Mortality 2017 - 2021 normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Insect- and disease-caused tree mortality was compiled at the 30 m scale from the Ecosystem Disturbance and Recovery Tracker (eDaRT; Koltunov et al. 2020), described in the Introduction, 2021 Data Products section. This metric represents 2021 status of cumulative tree mortality occurring years 2017-2021. There are two versions of tree mortality, one represents the last 5 years, the other represents the last 1 year. Tree mortality, that since its occurrence, was affected by fire or land management activities was removed. This metric is provided to complement data (in terms of spatial resolution and canopy cover loss estimates) available from the Region 5 Insect and Disease Survey that performs aerial detection monitoring in support of tracking tree mortality that includes affected hosts and agents (available at: https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696).----------------This raster has been modified from the base 30m version in the following ways:-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concern for widespread tree mortality, with lower values considered more favorable.----------------- Unit Of Measure: Percent of 30m pixel (absolute, not relative, value)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Insect- and disease-caused tree mortality was compiled at the 30 m scale from the Ecosystem Disturbance and Recovery Tracker (eDaRT; Koltunov et al. 2020), described in the Introduction, 2021 Data Products section. This metric represents 2021 status of cumulative tree mortality occurring years 2017-2021. There are two versions of tree mortality, one represents the last 5 years, the other represents the last 1 year. Tree mortality, that since its occurrence, was affected by fire or land management activities was removed. This metric is provided to complement data (in terms of spatial resolution and canopy cover loss estimates) available from the Region 5 Insect and Disease Survey that performs aerial detection monitoring in support of tracking tree mortality that includes affected hosts and agents (available at: https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent of 30m pixel (absolute, not relative, value)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Insect- and disease-caused tree mortality was compiled at the 30 m scale from the Ecosystem Disturbance and Recovery Tracker (eDaRT; Koltunov et al. 2020), described in the Introduction, 2021 Data Products section. This metric represents 2021 status of cumulative tree mortality occurring years 2017-2021. There are two versions of tree mortality, one represents the last 5 years, the other represents the last 1 year. Tree mortality, that since its occurrence, was affected by fire or land management activities was removed. This metric is provided to complement data (in terms of spatial resolution and canopy cover loss estimates) available from the Region 5 Insect and Disease Survey that performs aerial detection monitoring in support of tracking tree mortality that includes affected hosts and agents (available at: https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concern for widespread tree mortality, with lower values considered more favorable.----------------- Unit Of Measure: Percent of 30m pixel (absolute, not relative, value)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Estimated Max SDI (Stand Density Index - Reinicke)
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. The maximum forest stand density represents an approximate upper limit to the SDI of a site, and tree growth may be limited by competition as SDI approaches maximum SDI. This approximate upper limit on potential site SDI has been considered to be species- and site-specific by several authors using different variables to characterize the stand.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Proportion, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Estimated Max SDI (Stand Density Index - Reinicke) normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. The maximum forest stand density represents an approximate upper limit to the SDI of a site, and tree growth may be limited by competition as SDI approaches maximum SDI. This approximate upper limit on potential site SDI has been considered to be species- and site-specific by several authors using different variables to characterize the stand.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - ----------------- Unit Of Measure: Proportion, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Estimated Max SDI (Stand Density Index - Zeide)
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. The maximum forest stand density represents an approximate upper limit to the SDI of a site, and tree growth may be limited by competition as SDI approaches maximum SDI. This approximate upper limit on potential site SDI has been considered to be species- and site-specific by several authors using different variables to characterize the stand.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Proportion, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Estimated Max SDI (Stand Density Index - Zeide) normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. The maximum forest stand density represents an approximate upper limit to the SDI of a site, and tree growth may be limited by competition as SDI approaches maximum SDI. This approximate upper limit on potential site SDI has been considered to be species- and site-specific by several authors using different variables to characterize the stand.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - ----------------- Unit Of Measure: Proportion, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. SDI was also proposed by North et al., (2022) as an operational resilience metric for western fire adapted forests. This metric is a quantitative measure that relates the current stand density to the size class distribution of the stand. Reineke uses quadratic mean diameter, a weighted mean, to estimate the stand size class, whereas the Zeide method (also known as the summation method) uses Dr (Reineke’s diameter). For additional details on both calculations, see the Essential FVS Guide.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of trees per acre expressed as an equivalent density in a stand with a quadratic mean diameter of 10 inches
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Stand density index (SDI) helps vegetation managers to identify levels of site utilization and competition to determine management scenarios to meet objectives and is often used for forest health-oriented treatments. SDI was also proposed by North et al., (2022) as an operational resilience metric for western fire adapted forests. This metric is a quantitative measure that relates the current stand density to the size class distribution of the stand. Reineke uses quadratic mean diameter, a weighted mean, to estimate the stand size class, whereas the Zeide method (also known as the summation method) uses Dr (Reineke’s diameter). For additional details on both calculations, see the Essential FVS Guide.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of trees per acre expressed as an equivalent density in a stand with a quadratic mean diameter of 10 inches
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric is intended to be used to identify areas where reforestation may be necessary if stakeholders want to reestablish coniferous forests following fire. Conifers in our region generally lack the capacity to resprout after fire and are thus dependent on seedling recruitment for regeneration. Under precolonial fire regimes - of frequent, small, and typically lower severity fires - conifer seeds were generally able to travel the relatively short distances from live trees to burnt patches. In contrast, the recent emergence of large stand-replacing fires poses a significant challenge for conifer regeneration because long-distance seed dispersal events - needed to span the long distances between surviving trees and large burnt patches - are relatively rare. As a result, many areas formerly occupied by conifers may be poised for vegetation type conversion if conifers are not deliberately replanted.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Name: Natural Conifer Regeneration Probability normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This metric is intended to be used to identify areas where reforestation may be necessary if stakeholders want to reestablish coniferous forests following fire. Conifers in our region generally lack the capacity to resprout after fire and are thus dependent on seedling recruitment for regeneration. Under precolonial fire regimes - of frequent, small, and typically lower severity fires - conifer seeds were generally able to travel the relatively short distances from live trees to burnt patches. In contrast, the recent emergence of large stand-replacing fires poses a significant challenge for conifer regeneration because long-distance seed dispersal events - needed to span the long distances between surviving trees and large burnt patches - are relatively rare. As a result, many areas formerly occupied by conifers may be poised for vegetation type conversion if conifers are not deliberately replanted.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concerns for lack of natural regeneration, with higher probabilities of natural regeneration considered more favorable.----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Tree diameter (in inches) at breast height (dbh) for determining tree size. QMD stands for quadratic mean diameter and is computed by squaring the tree diameters, computing their average, and then taking the square root. The result is that QMD represents the diameter of the tree of the mean basal area. QMD is generally preferred over the (arithmetic) mean diameter because it is less influenced by very small trees (which can be highly variable in density from one site to the next) and it captures the fact that an inch of diameter growth means more for tree biomass on larger trees than on smaller trees.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Inches
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Canopy cover is the percentage “of forest floor covered by the vertical projection of the tree crowns.” Cover is measured vertically with a very narrow angle of view that approaches a point and indicates how much of the forest floor is vertically overtopped with canopy. Canopy cover is often cited as an important habitat feature for a number of sensitive species associated with old-forest conditions in the Sierra Nevada and is used in determining California Wildlife Habitat Relationship (CWHR) habitat types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Canopy cover is the percentage “of forest floor covered by the vertical projection of the tree crowns.” Cover is measured vertically with a very narrow angle of view that approaches a point and indicates how much of the forest floor is vertically overtopped with canopy. Canopy cover is often cited as an important habitat feature for a number of sensitive species associated with old-forest conditions in the Sierra Nevada and is used in determining California Wildlife Habitat Relationship (CWHR) habitat types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation simply reflects the range of values, without any particular value for open versus closed conditions.----------------- Unit Of Measure: Percent
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Percent Canopy Cover (F3) (corrected for crown overlap)
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Canopy cover is the percentage “of forest floor covered by the vertical projection of the tree crowns.” Cover is measured vertically with a very narrow angle of view that approaches a point and indicates how much of the forest floor is vertically overtopped with canopy. Canopy cover is often cited as an important habitat feature for a number of sensitive species associated with old-forest conditions in the Sierra Nevada and is used in determining California Wildlife Habitat Relationship (CWHR) habitat types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Name: Percent Canopy Cover (F3) (corrected for crown overlap) normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Canopy cover is the percentage “of forest floor covered by the vertical projection of the tree crowns.” Cover is measured vertically with a very narrow angle of view that approaches a point and indicates how much of the forest floor is vertically overtopped with canopy. Canopy cover is often cited as an important habitat feature for a number of sensitive species associated with old-forest conditions in the Sierra Nevada and is used in determining California Wildlife Habitat Relationship (CWHR) habitat types.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation simply reflects the range of values, without any particular value for open versus closed conditions.----------------- Unit Of Measure: Percent
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: A key component of forest structure descriptions is the spatial heterogeneity (i.e., tree clumps and gaps), which influences vegetation growth, competition, and succession, disturbance processes, and wildlife habitat. Developing spatial heterogeneity through mechanical and prescribed fire treatments is often a goal of restoration projects and targets for the distribution of individual trees, clumps and gaps are often derived from historical estimates of stand structure.--------This fractal dimension index is intended to be used in combination with the percent canopy cover as a measure of fine-scale heterogeneity. Fine-scale heterogeneity in forest structure may interrupt fuel continuity and reduce mortality of overstory trees. Fractal dimension is a measure of the complexity of shapes and ranges from 1, for simple shapes (fewer canopy interruptions), to 2, for complex shapes (more canopy interruptions). Fractal dimension is typically applied to single-part shapes, here we apply it to forest canopy within a 90m x 90m moving window.--------The following diagram illustrates how fractal dimension index values correspond with spatial patterns of forest canopy coverage. Green areas denote canopy coverage and brown areas denote low-growing vegetation or bare areas. Areas where the shape of canopy coverage is more complex or patchy thereby have higher fractal area index.--------Image courtesy of Jonathan T. Kane, University of Washington.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Fractal dimension index, 1 to 2
Copyright Text: California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Description: A key component of forest structure descriptions is the spatial heterogeneity (i.e., tree clumps and gaps), which influences vegetation growth, competition, and succession, disturbance processes, and wildlife habitat. Developing spatial heterogeneity through mechanical and prescribed fire treatments is often a goal of restoration projects and targets for the distribution of individual trees, clumps and gaps are often derived from historical estimates of stand structure.--------This fractal dimension index is intended to be used in combination with the percent canopy cover as a measure of fine-scale heterogeneity. Fine-scale heterogeneity in forest structure may interrupt fuel continuity and reduce mortality of overstory trees. Fractal dimension is a measure of the complexity of shapes and ranges from 1, for simple shapes (fewer canopy interruptions), to 2, for complex shapes (more canopy interruptions). Fractal dimension is typically applied to single-part shapes, here we apply it to forest canopy within a 90m x 90m moving window.--------The following diagram illustrates how fractal dimension index values correspond with spatial patterns of forest canopy coverage. Green areas denote canopy coverage and brown areas denote low-growing vegetation or bare areas. Areas where the shape of canopy coverage is more complex or patchy thereby have higher fractal area index.--------Image courtesy of Jonathan T. Kane, University of Washington.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the 20th and 80th percentile of actual values, with -1 representing low values, and 1 representing high values. This interpretation reflects concerns for conditions that are overly homogeneous but in either direction (too closed or too open), with more heterogeneous conditions considered more favorable.----------------- Unit Of Measure: Fractal dimension index, 1 to 2
Copyright Text: California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Description: This percent canopy cover is intended to be used in combination with the fractal dimension index as a measure of fine-scale heterogeneity.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Description: This percent canopy cover is intended to be used in combination with the fractal dimension index as a measure of fine-scale heterogeneity.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the 20th and 80th percentile of actual values, with -1 representing low values, and 1 representing high values. This interpretation simply reflects the range of values, without any particular value for open versus closed conditions.----------------- Unit Of Measure: Percent
Copyright Text: California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Description: Large trees are important to forest manager as they have a greater likelihood of survival from fire, provide sources of seed stock and wildlife habitat, and contribute to other critical processes like carbon storage and nutrient cycling. Large trees are often the focus of management in order to protect existing ones and to foster future ones. In consultation with National Forests, “large trees” have been determined as greater than 30” dbh.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Live trees/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Large trees are important to forest manager as they have a greater likelihood of survival from fire, provide sources of seed stock and wildlife habitat, and contribute to other critical processes like carbon storage and nutrient cycling. Large trees are often the focus of management in order to protect existing ones and to foster future ones. In consultation with National Forests, “large trees” have been determined as greater than 30” dbh.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects concerns about reductions in large tree densities, with higher large tree densities considered more favorable.----------------- Unit Of Measure: Live trees/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Trees per acre (TPA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Many other metrics can be derived from having accurate estimates of trees per acre.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Live trees/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Trees per acre (TPA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Many other metrics can be derived from having accurate estimates of trees per acre.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns about high tree densities increasing drought vulnerability, with lower tree densities considered more favorable.----------------- Unit Of Measure: Live trees/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Basal area (BA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Basal area is the cross-sectional area of the bole of a tree at diameter breast height (dbh). It is measured at the stand level as the cumulative sum of basal area of all trees and expressed as square feet per acre.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Sq ft/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Basal area (BA) is a common forest structure measurement that provides a useful index of forest and habitat condition. Basal area is the cross-sectional area of the bole of a tree at diameter breast height (dbh). It is measured at the stand level as the cumulative sum of basal area of all trees and expressed as square feet per acre.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire to restore the representation of large trees on the landscape, so higher biomass values considered more favorable.----------------- Unit Of Measure: Sq ft/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Annual Burn Probability represents the likelihood of a wildfire of any intensity occurring at a given location (pixel) in a single fire season. In a complete assessment of wildfire hazard, wildfire occurrence and spread are simulated in order to characterize how temporal variability in weather and spatial variability in fuel, topography, and ignition density influence wildfire likelihood across a landscape. In such cases, the hazard assessment includes modeling of burn probability, which quantifies the likelihood that a wildfire will burn a given point (a single grid cell or pixel) during a specified period of time. Burn probability for fire management planning applications in this case is reported on an annual basis - the probability of burning during a single fire season.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: Annual Burn Probability represents the likelihood of a wildfire of any intensity occurring at a given location (pixel) in a single fire season. In a complete assessment of wildfire hazard, wildfire occurrence and spread are simulated in order to characterize how temporal variability in weather and spatial variability in fuel, topography, and ignition density influence wildfire likelihood across a landscape. In such cases, the hazard assessment includes modeling of burn probability, which quantifies the likelihood that a wildfire will burn a given point (a single grid cell or pixel) during a specified period of time. Burn probability for fire management planning applications in this case is reported on an annual basis - the probability of burning during a single fire season.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of actual values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for the occurrence of unplanned fire, so lower probabilities are considered more favorable.----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: Fire severity classification (low, moderate, high) that burned within the last 10 years (2012-2021).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Value, 1 to 3
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.
Description: Fire severity classification (low, moderate, high) that burned within the last 10 years (2012-2021).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the three values assigned to areas with recent fire, which reflects concern for high severity fire: 1 = low, 0 = moderate, -1 = high. Areas with no recent fire are assigned N/A. This interpretation reflects concerns about high severity fire, with less high severity fire being more favorable.----------------- Unit Of Measure: Value, 1 to 3
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.
Description: This metric, mean percent FRID, is a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that occurred prior to Euro-American settlement, with the mean reference FRI as the basis for comparison. Mean PFRID is a metric of fire return interval departure (FRID), and measures the departure of current FRI from reference mean FRI in percent.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric, mean percent FRID, is a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that occurred prior to Euro-American settlement, with the mean reference FRI as the basis for comparison. Mean PFRID is a metric of fire return interval departure (FRID), and measures the departure of current FRI from reference mean FRI in percent.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on percent departure from the mean fire return interval, with emphasis on too infrequent fire as a greater near-term concern, with -1 representing greater than a 67% delinquency in fire frequency compared to the fire return interval, and 1 representing less than a 33% delinquency in fire frequency. This interpretation reflects concerns for fire being too infrequent, with delinquency greater than 1/3 of the average fire return interval considered to be more favorable than longer periods of delinquency. We did not create a commensurate reference condition for too frequent fire, but it could be done using the same general premise.----------------- Unit Of Measure: Percent
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Percent FRID (PFRID) quantifies the extent in percentage to which recent fires (i.e., since 1970) are burning at frequencies similar to those that occurred prior to Euro-American settlement, with the mean reference FRI as the basis for comparison. Mean PFRID measures the departure of current FRI from reference mean FRI in percent----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Percent FRID (PFRID) quantifies the extent in percentage to which recent fires (i.e., since 1970) are burning at frequencies similar to those that occurred prior to Euro-American settlement, with the mean reference FRI as the basis for comparison. Mean PFRID measures the departure of current FRI from reference mean FRI in percent----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on percent departure from the mean fire return interval, with emphasis on too infrequent fire as a greater near-term concern, with -1 representing greater than a 67% delinquency in fire frequency compared to the fire return interval, and 1 representing less than a 33% delinquency in fire frequency. This interpretation reflects concerns for fire being too infrequent, with delinquency greater than 1/3 of the average fire return interval considered to be more favorable than longer periods of delinquency. We did not create a commensurate reference condition for too frequent fire, but it could be done using the same general premise.----------------- Unit Of Measure: Percent
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric, uses the mean percent FRID to a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that occurred prior to Euro-American settlement, with the mean reference FRI binned into another basis for comparison. Mean PFRID is a metric of fire return interval departure (FRID), and measures the departure of current FRI from reference mean FRI in percent.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Integer, -3 to 3
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric, uses the mean percent FRID to a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that occurred prior to Euro-American settlement, with the mean reference FRI binned into another basis for comparison. Mean PFRID is a metric of fire return interval departure (FRID), and measures the departure of current FRI from reference mean FRI in percent.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled as a one tailed evaluation based on condition classes. When too infrequent fire is a greater near-term concern, -1 = CC(3) (greater than a 67% delinquency), and 1 = CC(1) or lower (less than a 33% delinquency in fire frequency). When too frequent fire is a greater near-term concern, -1 = CC(-3) (greater than a 67% overage), and 1 = greater than CC(-1) (less than a or lower (less than a 33% overage). This interpretation reflects concerns for fire being too infrequent, with delinquency greater than 1/3 of the average fire return interval considered to be more favorable than longer periods of delinquency. We did not create a commensurate reference condition for too frequent fire, but it could be done using the same general premise.----------------- Unit Of Measure: Integer, -3 to 3
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values.--------For the high severity layer, -1 represents high values and 1 represents low values. This interpretation reflects concerns about high severity fire, with lower probabilities considered more favorable.--------For the low severity layer, 1 represents high values and -1 represents low values. This interpretation reflects desire for low severity fire, with higher probabilities considered more favorable.--------No normalized rescaling was performed for the moderate severity layer.----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values.--------For the high severity layer, -1 represents high values and 1 represents low values. This interpretation reflects concerns about high severity fire, with lower probabilities considered more favorable.--------For the low severity layer, 1 represents high values and -1 represents low values. This interpretation reflects desire for low severity fire, with higher probabilities considered more favorable.--------No normalized rescaling was performed for the moderate severity layer.----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Probability, 0 to 1
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p
Description: Time Since Last Fire (TSLF), from the Fire Return Interval Departure (FRID) map, provides information (in years) to indicate the length of time since an area last burned.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Years
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Time Since Last Fire (TSLF), from the Fire Return Interval Departure (FRID) map, provides information (in years) to indicate the length of time since an area last burned.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the comparison of TSLF to the mean fire return interval (FRI; from the FRID map) for a given location. The formula for the comparison depends on if the TSLF is greater or less than the mean reference FRI (meanRefFRI).--------If the TSLF > meanRefFRI, then (TSLF/meanRefFRI-1)*100. This will result in a positive percent value.--------If the TSLF < meanRefFRI, then TSLF/meanRefFRI*-1*100. This will result in a negative percent value.--------These percentages are then normalized using the following thresholds to reflect the degree to which fire is too infrequent:--------1 is assigned to all values < 33% (including all negative percentages)---------1 is assigned to all values >67%--------Values between 33% and 67% will range from -1 to 1 in a linear manner.--------This interpretation reflects concerns for fire being too infrequent, with delinquency greater than 1/3 of the average fire return interval considered to be more favorable than longer periods of delinquency. We did not create a commensurate reference condition for too frequent fire, but it could be done using the same general premise.----------------- Unit Of Measure: Years
Copyright Text: CALFIRE: The State of California and the Department of Forestry and Fire Protection make no representations or warranties regarding the accuracy of data or maps. The user will not seek to hold the State or the Department liable under any circumstances for any damages with respect to any claim by the user or any third party on account of or arising from the use of data or maps. The user will cite the Department of Forestry and Fire Protection as the original source of the data, but will clearly denote cases where the original data have been updated, modified, or in any way altered from the original condition.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Stephens et al. (2022) note that total dead/down values over 20 (short) tons/ac (40 Mg/ha) resulted in high severity in 56% of the pixels. Higuera and Abatzoglou (2020) note that fuel and fuel aridity, where fuel is “non-limiting”, are a primary control on area burned at interannual to millennial timescales. Thus, it is more important than ever to define fuel limitation and map where it is on the landscape as a fundamental metric for where, even under hotter climates, low to moderate severity fire is still a strong likelihood.--------This metric is also applicable to the Air Quality pillar, in that total fuel load is a value often required in smoke management plans to get Rx fire projects approved.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Stephens et al. (2022) note that total dead/down values over 20 (short) tons/ac (40 Mg/ha) resulted in high severity in 56% of the pixels. Higuera and Abatzoglou (2020) note that fuel and fuel aridity, where fuel is “non-limiting”, are a primary control on area burned at interannual to millennial timescales. Thus, it is more important than ever to define fuel limitation and map where it is on the landscape as a fundamental metric for where, even under hotter climates, low to moderate severity fire is still a strong likelihood.--------This metric is also applicable to the Air Quality pillar, in that total fuel load is a value often required in smoke management plans to get Rx fire projects approved.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of actual values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns about high fuel levels posing a fire risk, with lower fuel levels considered more favorable.----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This is the material that may burn at the extreme end of the spectrum and contribute to mass fire behavior (Stephens et al., 2022), especially during crown spread type events. Live “ladder” fuels for trees less than 10” in diameter are also included in this calculation.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This is the material that may burn at the extreme end of the spectrum and contribute to mass fire behavior (Stephens et al., 2022), especially during crown spread type events. Live “ladder” fuels for trees less than 10” in diameter are also included in this calculation.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns about high fuel levels posing a fire risk, with lower fuel levels considered more favorable.----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This is the sum of standing dead, ladders, and the dead and down, documented above. This metric quantifies the total amount of biomass available to contribute to the extreme fire intensity and spread rates that lead to high severity fire (Stephens et al., 2022).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This is the sum of standing dead, ladders, and the dead and down, documented above. This metric quantifies the total amount of biomass available to contribute to the extreme fire intensity and spread rates that lead to high severity fire (Stephens et al., 2022).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns about high fuel levels posing a fire risk, with lower fuel levels considered more favorable.----------------- Unit Of Measure: Short tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric combines two data layers; one is the Wildland Urban Interface (WUI) as defined by Carlson et al. 2022, and a second data layer, Damage Potential (DP), developed by Pyrologix LLC. The WUI includes the intermix and interface zones which collectively identify areas where structures occur. The distance selected for the interface definition is based on research from the California Fire Alliance suggesting that this is the average distance firebrands can travel from an active wildfire front. The composite Damage Potential (DP) dataset represents a relative measure of wildfire’s potential to damage a home or other structure if one were present at a given pixel, and if a wildfire were to occur (conditional exposure). It is a function of ember load to a given pixel, and fire intensity at that pixel, and considers the generalized consequences to a home from fires of a given intensity (flame length). This index does not incorporate a measure of annual wildfire likelihood. The data are current through 2021.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Relative index, low to high
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p--------------------------------US Geological Survey Geosciences and Environmental Change Science Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Description: This metric combines two data layers; one is the Wildland Urban Interface (WUI) as defined by Carlson et al. 2022, and a second data layer, Damage Potential (DP), developed by Pyrologix LLC. The WUI includes the intermix and interface zones which collectively identify areas where structures occur. The distance selected for the interface definition is based on research from the California Fire Alliance suggesting that this is the average distance firebrands can travel from an active wildfire front. The composite Damage Potential (DP) dataset represents a relative measure of wildfire’s potential to damage a home or other structure if one were present at a given pixel, and if a wildfire were to occur (conditional exposure). It is a function of ember load to a given pixel, and fire intensity at that pixel, and considers the generalized consequences to a home from fires of a given intensity (flame length). This index does not incorporate a measure of annual wildfire likelihood. The data are current through 2021.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing zero. This interpretation reflects the assumption that lower damage potential is more favorable.----------------- Unit Of Measure: Relative index, low to high
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p--------------------------------US Geological Survey Geosciences and Environmental Change Science Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Description: This metric combines two data layers; one is the Wildland Urban Interface (WUI) as defined by Carlson et al. 2022, and a second data layer, Structure Exposure Score (SES), developed by Pyrologix LLC. The WUI includes the intermix and interface zones which collectively identify areas where structures occur. The distance selected for the interface definition is based on research from the California Fire Alliance suggesting that this is the average distance firebrands can travel from an active wildfire front. Structure Exposure Score is an integrated rating of wildfire hazard that includes the likelihood of a wildfire reaching a given location along with the potential intensity and ember load when that occurs. SES varies considerably across the landscape. The data are current through 2021.--------Pyrologix uses a standard geometric-interval classification to define the ten classes of SES, where each class break is 1.5 times larger than the previous break. So, homes located within Class X are 1.5 times more exposed than those in Class IX, and so on. This metric represents SES for WUI areas only.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Relative index, 10 classes
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p--------------------------------US Geological Survey Geosciences and Environmental Change Science Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Name: StructureExposureScore in the WUI normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This metric combines two data layers; one is the Wildland Urban Interface (WUI) as defined by Carlson et al. 2022, and a second data layer, Structure Exposure Score (SES), developed by Pyrologix LLC. The WUI includes the intermix and interface zones which collectively identify areas where structures occur. The distance selected for the interface definition is based on research from the California Fire Alliance suggesting that this is the average distance firebrands can travel from an active wildfire front. Structure Exposure Score is an integrated rating of wildfire hazard that includes the likelihood of a wildfire reaching a given location along with the potential intensity and ember load when that occurs. SES varies considerably across the landscape. The data are current through 2021.--------Pyrologix uses a standard geometric-interval classification to define the ten classes of SES, where each class break is 1.5 times larger than the previous break. So, homes located within Class X are 1.5 times more exposed than those in Class IX, and so on. This metric represents SES for WUI areas only.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing zero. This interpretation reflects the assumption that lower exposure is more favorable.----------------- Unit Of Measure: Relative index, 10 classes
Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p--------------------------------US Geological Survey Geosciences and Environmental Change Science Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Description: The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information. The dataset summarizes the relative ability of a species to move across the landscape between patches of suitable habitat. It shows a compilation of linkages, corridors, and natural landscape blocks identified in statewide and regional connectivity studies. Each hexagon (2.5 mi2) is ranked into one of the following categories based on the identification of corridors and linkages in statewide, regional, and species-movement studies:--------5: Irreplicable and Essential Corridors - The Nature Conservancy’s (TNC) Omniscape model identifies channelized areas and priority species movement corridors. The mapped channelized areas are those areas where surrounding land use and barriers are expected to funnel, or concentrate, animal movement. These areas may represent the last available connection(s) between two areas, making them high priority for conservation.--------4: Conservation Planning Linkages - Habitat connectivity linkages are often based on species-specific models and represent the best connections between core natural areas to maintain habitat connectivity. Linkages have more implementation flexibility than irreplaceable and essential corridors; any linkage areas not included in rank 5 are included here.--------3: Connections with Implementation Flexibility - Areas identified as having connectivity importance but not identified as channelized areas, species corridors or habitat linkage at this time. Future changes in surrounding land use or regional specific information may alter the connectivity rank. Included in this category are areas mapped in the TNC Omniscape study as ‘intensified’, core habitat areas, and areas on the periphery of mapped habitat linkages.--------2: Large Natural Habitat Areas - Large blocks of natural habitat (> 2000 acres) where connectivity is generally intact. This includes natural landscape blocks from the 2010 CEHC and updated with the 2016 Statewide Intactness dataset. Areas mapped as CEHC NLB and not include in the previous ranks, are included here.--------1: Limited Connectivity Opportunity - Areas where land use may limit options for providing connectivity (e.g., agriculture, urban) or no connectivity importance has been identified in models. Includes lakes. Some DOD lands are also in this category because they have been excluded from models due to lack of conservation opportunity, although they may provide important connectivity habitat.--------------------------------- Unit Of Measure: Categorical; 5 (listed above)
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information. The dataset summarizes the relative ability of a species to move across the landscape between patches of suitable habitat. It shows a compilation of linkages, corridors, and natural landscape blocks identified in statewide and regional connectivity studies. Each hexagon (2.5 mi2) is ranked into one of the following categories based on the identification of corridors and linkages in statewide, regional, and species-movement studies:--------5: Irreplicable and Essential Corridors - The Nature Conservancy’s (TNC) Omniscape model identifies channelized areas and priority species movement corridors. The mapped channelized areas are those areas where surrounding land use and barriers are expected to funnel, or concentrate, animal movement. These areas may represent the last available connection(s) between two areas, making them high priority for conservation.--------4: Conservation Planning Linkages - Habitat connectivity linkages are often based on species-specific models and represent the best connections between core natural areas to maintain habitat connectivity. Linkages have more implementation flexibility than irreplaceable and essential corridors; any linkage areas not included in rank 5 are included here.--------3: Connections with Implementation Flexibility - Areas identified as having connectivity importance but not identified as channelized areas, species corridors or habitat linkage at this time. Future changes in surrounding land use or regional specific information may alter the connectivity rank. Included in this category are areas mapped in the TNC Omniscape study as ‘intensified’, core habitat areas, and areas on the periphery of mapped habitat linkages.--------2: Large Natural Habitat Areas - Large blocks of natural habitat (> 2000 acres) where connectivity is generally intact. This includes natural landscape blocks from the 2010 CEHC and updated with the 2016 Statewide Intactness dataset. Areas mapped as CEHC NLB and not include in the previous ranks, are included here.--------1: Limited Connectivity Opportunity - Areas where land use may limit options for providing connectivity (e.g., agriculture, urban) or no connectivity importance has been identified in models. Includes lakes. Some DOD lands are also in this category because they have been excluded from models due to lack of conservation opportunity, although they may provide important connectivity habitat.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values follow the Connectivity Values based on the following relationships between degree of landscape connectedness, with higher values indicating increasingly important corridors/connectors.--------Habitat Connectivity Value Normalized Value--------1 NA--------44593--------3 -0.33--------4 0.33--------5 1----------------- Unit Of Measure: Categorical; 5 (listed above)
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Name: Cavity Nesters Excavators Species Richness normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Name: Seed Spore Dispersers Species Richness normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Functional groups are sets of species that share life history characteristics that perform particular functions within an ecosystem. The six functional groups are represented and include a range of trophic levels and ecosystem services. A primary consideration in management is to maintain conditions, adapt to changing conditions and transition to alternate but still productive conditions over time. The maintenance of ecosystem services is a primary concern with climate change.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for the conservation of functional diversity, with higher diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: California black oak serves as important wildlife habitat and as a traditional food source for indigenous Californians. The map is intended to be used to inform - and potentially prioritize - management of California black oak stands (e.g., fuels treatments to protect the resource) and to assist those seeking stands for acorn collection (i.e., for reforestation or food).--------A satellite-derived map of California black oak (Quercus kelloggii; QUKE) stand distribution from a model trained to Landsat imagery.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Value, 0 to 1000
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.--------------------------------California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Name: Black Oak Stand Distribution 2016t to 2020 normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: California black oak serves as important wildlife habitat and as a traditional food source for indigenous Californians. The map is intended to be used to inform - and potentially prioritize - management of California black oak stands (e.g., fuels treatments to protect the resource) and to assist those seeking stands for acorn collection (i.e., for reforestation or food).--------A satellite-derived map of California black oak (Quercus kelloggii; QUKE) stand distribution from a model trained to Landsat imagery.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of the square root of the actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the geographic extent and overall abundance of this species, with higher likelihood values considered more favorable.----------------- Unit Of Measure: Value, 0 to 1000
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.--------------------------------California Forest Observatory - Salo Sciences: TERMS OF USE--------Welcome to the California Forest Observatory, a forest monitoring platform that maps vegetation fuels and wildfire hazard across the state, operated by Salo Sciences, Inc. (“Salo”, “we”, “us”, “our”) and the product of a collaboration between Salo, Planet Labs, Inc., and Vibrant Planet, LLC (collectively, the “Collaborators”). Please read on to learn the rules and restrictions that govern your use of our website(s), products, services, data, applications, and application programming interfaces (the “Services”). If you have any questions, comments, or concerns regarding these terms or the Services, please contact us at info@forestobservatory.com.--------These Terms of Use (the “Terms”) are a binding contract between you and Salo as operator of the Services. You must agree to and accept all of the Terms, or you don’t have the right to use the Services. Your using the Services in any way means that you agree to all of these Terms, and these Terms will remain in effect while you use the Services. These Terms include the provisions in this document, As well as those in the Privacy Policy and API Terms.--------Please read these Terms carefully. They cover important information about the Services provided to you, including information about future changes to these Terms, limitation of liability, a class action waiver, and resolution of disputes by arbitration instead of in court. For complete Terms of Use visit https://forestobservatory.com/legal.html.
Description: California spotted owl is continuously distributed on the western slope of the Sierra and inhabits elevations ranging from 1,000 to over 7,000 feet, it is a Region 5 Forest Service “Sensitive Species” and a “Management Indicator Species” (representing late seral closed canopy coniferous forest). In November, 2019, the USFWS issued a 12-month finding on a petition to list the California spotted owl under the Endangered Species Act and determined listing to be not warranted at this time (USDI Fish and Wildlife Service 2019). Although the species is declining throughout much of its range and faces continued threats due to wildfire, habitat loss, and competition from barred owls, the USFWS determined that existing regulatory mechanisms are sufficient (USDI Fish and Wildlife Service 2019). This species is also recognized as a California “Species of Special Concern and a Species of Greatest Conservation Need.”--------A conservation assessment for California spotted owl was conducted in 2017 (Gutiérrez, Manley, and Stine 2017). This was followed by the development of a conservation strategy to guide habitat management on National Forest System Lands (USDA Forest Service 2019). The conservation strategy for the California spotted owl in the Sierra Nevada aims to balance the need to conserve essential habitat elements around sites occupied by California spotted owls, while simultaneously restoring resilient forest conditions at the landscape scale (USDA Forest Service 2019).--------The USDA Forest Service designates a 300-acre protected activity center (PAC) around each known nesting area or activity center. PACs are a USFS land allocation designed to protect and maintain high-quality California spotted owl nesting and roosting habitat around active sites. Territorial owls typically defend a geographic area consistently used for nesting, roosting, and foraging, containing essential habitat for survival and reproduction. The USDA Forest Service calls for an area of 1,000 acres in the central Sierra Nevada around core use areas, including the associated protected activity center, with a minimum of 400 acres of suitable habitat.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: California spotted owl is continuously distributed on the western slope of the Sierra and inhabits elevations ranging from 1,000 to over 7,000 feet, it is a Region 5 Forest Service “Sensitive Species” and a “Management Indicator Species” (representing late seral closed canopy coniferous forest). In November, 2019, the USFWS issued a 12-month finding on a petition to list the California spotted owl under the Endangered Species Act and determined listing to be not warranted at this time (USDI Fish and Wildlife Service 2019). Although the species is declining throughout much of its range and faces continued threats due to wildfire, habitat loss, and competition from barred owls, the USFWS determined that existing regulatory mechanisms are sufficient (USDI Fish and Wildlife Service 2019). This species is also recognized as a California “Species of Special Concern and a Species of Greatest Conservation Need.”--------A conservation assessment for California spotted owl was conducted in 2017 (Gutiérrez, Manley, and Stine 2017). This was followed by the development of a conservation strategy to guide habitat management on National Forest System Lands (USDA Forest Service 2019). The conservation strategy for the California spotted owl in the Sierra Nevada aims to balance the need to conserve essential habitat elements around sites occupied by California spotted owls, while simultaneously restoring resilient forest conditions at the landscape scale (USDA Forest Service 2019).--------The USDA Forest Service designates a 300-acre protected activity center (PAC) around each known nesting area or activity center. PACs are a USFS land allocation designed to protect and maintain high-quality California spotted owl nesting and roosting habitat around active sites. Territorial owls typically defend a geographic area consistently used for nesting, roosting, and foraging, containing essential habitat for survival and reproduction. The USDA Forest Service calls for an area of 1,000 acres in the central Sierra Nevada around core use areas, including the associated protected activity center, with a minimum of 400 acres of suitable habitat.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Pacific fisher population in the southern Sierra is federally listed as a threatened population and resides primarily on National Forest System lands. Habitat management for this species is determined based on a Conservation Strategy developed by the US Forest Service and augmented by a recovery strategy developed by the US Fish and Wildlife Service. Suitable habitat is defined by a model developed by US Pacific Southwest Research Station and the Conservation Biology Institute. This metric evaluates the 1000 ac around each 30m pixel to determine if it meets minimum habitat requirements to support a territory.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Pacific fisher population in the southern Sierra is federally listed as a threatened population and resides primarily on National Forest System lands. Habitat management for this species is determined based on a Conservation Strategy developed by the US Forest Service and augmented by a recovery strategy developed by the US Fish and Wildlife Service. Suitable habitat is defined by a model developed by US Pacific Southwest Research Station and the Conservation Biology Institute. This metric evaluates the 1000 ac around each 30m pixel to determine if it meets minimum habitat requirements to support a territory.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: California spotted owl is continuously distributed on the western slope of the Sierra and inhabits elevations ranging from 1,000 to over 7,000 feet, it is a Region 5 Forest Service “Sensitive Species” and a “Management Indicator Species” (representing late seral closed canopy coniferous forest). In November, 2019, the USFWS issued a 12-month finding on a petition to list the California spotted owl under the Endangered Species Act and determined listing to be not warranted at this time (USDI Fish and Wildlife Service 2019). Although the species is declining throughout much of its range and faces continued threats due to wildfire, habitat loss, and competition from barred owls, the USFWS determined that existing regulatory mechanisms are sufficient (USDI Fish and Wildlife Service 2019). This species is also recognized as a California “Species of Special Concern and a Species of Greatest Conservation Need.”--------A conservation assessment for California spotted owl was conducted in 2017 (Gutiérrez, Manley, and Stine 2017). This was followed by the development of a conservation strategy to guide habitat management on National Forest System Lands (USDA Forest Service 2019). The conservation strategy for the California spotted owl in the Sierra Nevada aims to balance the need to conserve essential habitat elements around sites occupied by California spotted owls, while simultaneously restoring resilient forest conditions at the landscape scale (USDA Forest Service 2019).--------The USDA Forest Service designates a 300-acre protected activity center (PAC) around each known nesting area or activity center. PACs are a USFS land allocation designed to protect and maintain high-quality California spotted owl nesting and roosting habitat around active sites. Territorial owls typically defend a geographic area consistently used for nesting, roosting, and foraging, containing essential habitat for survival and reproduction. The USDA Forest Service calls for an area of 1,000 acres in the central Sierra Nevada around core use areas, including the associated protected activity center, with a minimum of 400 acres of suitable habitat.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: California spotted owl is continuously distributed on the western slope of the Sierra and inhabits elevations ranging from 1,000 to over 7,000 feet, it is a Region 5 Forest Service “Sensitive Species” and a “Management Indicator Species” (representing late seral closed canopy coniferous forest). In November, 2019, the USFWS issued a 12-month finding on a petition to list the California spotted owl under the Endangered Species Act and determined listing to be not warranted at this time (USDI Fish and Wildlife Service 2019). Although the species is declining throughout much of its range and faces continued threats due to wildfire, habitat loss, and competition from barred owls, the USFWS determined that existing regulatory mechanisms are sufficient (USDI Fish and Wildlife Service 2019). This species is also recognized as a California “Species of Special Concern and a Species of Greatest Conservation Need.”--------A conservation assessment for California spotted owl was conducted in 2017 (Gutiérrez, Manley, and Stine 2017). This was followed by the development of a conservation strategy to guide habitat management on National Forest System Lands (USDA Forest Service 2019). The conservation strategy for the California spotted owl in the Sierra Nevada aims to balance the need to conserve essential habitat elements around sites occupied by California spotted owls, while simultaneously restoring resilient forest conditions at the landscape scale (USDA Forest Service 2019).--------The USDA Forest Service designates a 300-acre protected activity center (PAC) around each known nesting area or activity center. PACs are a USFS land allocation designed to protect and maintain high-quality California spotted owl nesting and roosting habitat around active sites. Territorial owls typically defend a geographic area consistently used for nesting, roosting, and foraging, containing essential habitat for survival and reproduction. The USDA Forest Service calls for an area of 1,000 acres in the central Sierra Nevada around core use areas, including the associated protected activity center, with a minimum of 400 acres of suitable habitat.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Band-Tailed pigeon is a species of tribal value to California indigenous peoples and has been identified as a focal species for the ACCEL project. This metric identifies the current distribution and abundance of suitable habitat for band-tailed pigeons. Blocks of habitat of 100 acres or larger, which are considered high value to band-tailed pigeons for reproduction, cover, and feeding are included.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Binary, 0/1
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Band-Tailed pigeon is a species of tribal value to California indigenous peoples and has been identified as a focal species for the ACCEL project. This metric identifies the current distribution and abundance of suitable habitat for band-tailed pigeons. Blocks of habitat of 100 acres or larger, which are considered high value to band-tailed pigeons for reproduction, cover, and feeding are included.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Binary, 0/1
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The American martin is a species of special concern, but it is not federally, or state listed at the present time. It is identified as a focal species by Region 5 of the US Forest Service. The Pacific marten is a high elevation, old forest associate that is sensitive to forest management and is an important carnivore in high elevation food webs. This metric evaluates the 1000 ac around each 30m pixel to determine if it meets the minimum habitat requirements to support a territory.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The American martin is a species of special concern, but it is not federally, or state listed at the present time. It is identified as a focal species by Region 5 of the US Forest Service. The Pacific marten is a high elevation, old forest associate that is sensitive to forest management and is an important carnivore in high elevation food webs. This metric evaluates the 1000 ac around each 30m pixel to determine if it meets the minimum habitat requirements to support a territory.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Northern goshawk is a species of special concern to the US Forest Service, but it is not federally, or state listed at the present time and has therefore been identified as a focal species by Region 5 of the US Forest Service. The Northern goshawk is an old forest associate with particular habitat requirements in terms of nest trees, nest stands, and the structure of foraging habitat having open understory conditions to enable foraging maneuvers.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The Northern goshawk is a species of special concern to the US Forest Service, but it is not federally, or state listed at the present time and has therefore been identified as a focal species by Region 5 of the US Forest Service. The Northern goshawk is an old forest associate with particular habitat requirements in terms of nest trees, nest stands, and the structure of foraging habitat having open understory conditions to enable foraging maneuvers.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with higher habitat values considered more favorable.----------------- Unit Of Measure: Resolution dependent--------30m data - Binary, 0/1--------300m data - Continuous, 0 (Low Suitability) to 1 (High Suitability)
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The population of giant sequoia (Sequoiadendron giganteum [SEGI]) trees is an irreplaceable heritage to be studied, protected, and preserved as it faces increased threats from drought and fire.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Resolution dependent--------Vector - Thematic--------Raster - Binary, 0/1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The population of giant sequoia (Sequoiadendron giganteum [SEGI]) trees is an irreplaceable heritage to be studied, protected, and preserved as it faces increased threats from drought and fire.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of this species, with greater extent considered more favorable.----------------- Unit Of Measure: Resolution dependent--------Vector - Thematic--------Raster - Binary, 0/1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Native species richness is estimated based on high suitability reproductive habitat for a given species. Reproductive habitat is used to represent suitability because it is critical for species persistence and for most native species it has the most limited requirements. If a habitat is identified as high for a given species, it is considered suitable (1), and habitat identified as moderate, low or not suitable, it is considered unsuitable (0). Species richness values are used as a relative measure of biodiversity value; as such, areas with lower species richness based on these criteria may still have high biodiversity value, but not as high as areas with higher richness values. The total number of federally threatened/endangered native species per spatial unit (30m pixel) can be useful for assessing change in number/composition over space.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Native species richness is estimated based on high suitability reproductive habitat for a given species. Reproductive habitat is used to represent suitability because it is critical for species persistence and for most native species it has the most limited requirements. If a habitat is identified as high for a given species, it is considered suitable (1), and habitat identified as moderate, low or not suitable, it is considered unsuitable (0). Species richness values are used as a relative measure of biodiversity value; as such, areas with lower species richness based on these criteria may still have high biodiversity value, but not as high as areas with higher richness values. The total number of federally threatened/endangered native species per spatial unit (30m pixel) can be useful for assessing change in number/composition over space.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the persistence of these species, with higher richness values considered areas more valuable for species conservation efforts.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Native species richness is estimated based on high suitability reproductive habitat for a given species. Reproductive habitat is used to represent suitability because it is critical for species persistence and for most native species it has the most limited requirements. If a habitat is identified as high for a given species, it is considered suitable (1), and habitat identified as moderate, low or not suitable, it is considered unsuitable (0). Species richness values are used as a relative measure of biodiversity value; as such, areas with lower species richness based on these criteria may still have high biodiversity value, but not as high as areas with higher richness values. The number of native species per spatial unit (30m pixel) presented as simply the total number; this can be useful for assessing change in number/composition over space.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Native species richness is estimated based on high suitability reproductive habitat for a given species. Reproductive habitat is used to represent suitability because it is critical for species persistence and for most native species it has the most limited requirements. If a habitat is identified as high for a given species, it is considered suitable (1), and habitat identified as moderate, low or not suitable, it is considered unsuitable (0). Species richness values are used as a relative measure of biodiversity value; as such, areas with lower species richness based on these criteria may still have high biodiversity value, but not as high as areas with higher richness values. The number of native species per spatial unit (30m pixel) presented as simply the total number; this can be useful for assessing change in number/composition over space.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concern for declines in species diversity as a function of richness, with richness values considered more favorable.----------------- Unit Of Measure: Number of species
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The number of species that are not the same in two different environments; functional groups and vegetation communities. Beta diversity is a valuable complement to species richness due to its ability to link local-scale changes in species occurrence to landscape-scale shifts in patterns of species composition. Beta diversity measures changes in species composition by comparing species richness and species presence in one locality to all localities within a specified neighborhood size or among specified areas of interest. Localities exhibiting high beta diversity are distinctly unique in terms of species composition as compared to other localities used for comparison. Unlike species richness, beta diversity provides a measure of species composition that can be used to help identify localities which may harbor rare species, localities which could be sources for landscape-level diversity, and regions of either high heterogeneity or homogeneity. Calculated through time, beta diversity can also detect trends in diversity (i.e., loss or gain of heterogeneity among sites) or detect areas in which species composition changes very little.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Sørensen index, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: The number of species that are not the same in two different environments; functional groups and vegetation communities. Beta diversity is a valuable complement to species richness due to its ability to link local-scale changes in species occurrence to landscape-scale shifts in patterns of species composition. Beta diversity measures changes in species composition by comparing species richness and species presence in one locality to all localities within a specified neighborhood size or among specified areas of interest. Localities exhibiting high beta diversity are distinctly unique in terms of species composition as compared to other localities used for comparison. Unlike species richness, beta diversity provides a measure of species composition that can be used to help identify localities which may harbor rare species, localities which could be sources for landscape-level diversity, and regions of either high heterogeneity or homogeneity. Calculated through time, beta diversity can also detect trends in diversity (i.e., loss or gain of heterogeneity among sites) or detect areas in which species composition changes very little.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing low values, and 1 representing high values. This interpretation reflects concern for the conservation of species diversity, with higher beta diversity considered to be areas with greater conservation value.----------------- Unit Of Measure: Sørensen index, 0 to 1
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.--------------------------------US Geological Survey, Earth Resources Observation and Science (EROS) Center: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Dead carbon includes dead and down (litter, duff, fine, coarse, and heavy fuels, including 1000+ hour logs) which are inherently unstable due to prevailing fire and decay processes, and a destabilizing factor in the fire-adapted forests of the Sierra to the extent that they contribute to uncharacteristic fire behavior. Also added to that dead carbon, the carbon from the canopies of small trees, which is readily released during fire (specifically, trees less than 10 inches in diameter). Standing dead C is also included, representing the slower leak from the landscape carbon stock. This is a proxy for unstable carbon; fire liable carbon on the landscape which is more vulnerable to combustion.--------A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Dead carbon includes dead and down (litter, duff, fine, coarse, and heavy fuels, including 1000+ hour logs) which are inherently unstable due to prevailing fire and decay processes, and a destabilizing factor in the fire-adapted forests of the Sierra to the extent that they contribute to uncharacteristic fire behavior. Also added to that dead carbon, the carbon from the canopies of small trees, which is readily released during fire (specifically, trees less than 10 inches in diameter). Standing dead C is also included, representing the slower leak from the landscape carbon stock. This is a proxy for unstable carbon; fire liable carbon on the landscape which is more vulnerable to combustion.--------A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values, and 1 representing high values. This interpretation reflects the desire for increased carbon sequestration, with higher values considered more favorable. However, live carbon is more desirable (stable) than dead carbon, and dead carbon has negative consequences in terms of fuels and fire dynamics (see the Fire Dynamics pillar).----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Large trees in this metric were calculated as the sum of branch and stemwood plus foliage for trees over 20 inches in diameter. This is intended to represent the most stable (possibly other than soil) component of the carbon pool, and can be an indicator of the carbon stock’s resilience/stability. For this metric, higher values generally indicate more stability, and upward trends in this value may be interpreted as generally increasing resilience of the aboveground C pool.--------A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Large trees in this metric were calculated as the sum of branch and stemwood plus foliage for trees over 20 inches in diameter. This is intended to represent the most stable (possibly other than soil) component of the carbon pool, and can be an indicator of the carbon stock’s resilience/stability. For this metric, higher values generally indicate more stability, and upward trends in this value may be interpreted as generally increasing resilience of the aboveground C pool.--------A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire for increased stable carbon sequestration, with higher values considered more favorable.----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Total Carbon is the basis for CARB Natural and Working Lands accounting framework; it also provides context for the other three metrics used to quantify carbon sequestration. For example, instability or lack of resilience in forest with low total aboveground carbon would be of less concern than the same degree of instability in a forest that has large total aboveground carbon.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Total Carbon is the basis for CARB Natural and Working Lands accounting framework; it also provides context for the other three metrics used to quantify carbon sequestration. For example, instability or lack of resilience in forest with low total aboveground carbon would be of less concern than the same degree of instability in a forest that has large total aboveground carbon.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Total Carbon is the basis for CARB Natural and Working Lands accounting framework and provides context for the other three metrics used to quantify carbon sequestration. For example, instability or lack of forest resilience, if there wasn’t much carbon in the first places, would be of lesser concern than if there were a lot of carbon, all other things being equal. Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Total Carbon is the basis for CARB Natural and Working Lands accounting framework and provides context for the other three metrics used to quantify carbon sequestration. For example, instability or lack of forest resilience, if there wasn’t much carbon in the first places, would be of lesser concern than if there were a lot of carbon, all other things being equal. Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire for increased carbon sequestration on natural and working lands, with higher values considered more favorable.----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: A recent paper (Bernal et al., 2022), suggests that due to drought/temps expected beyond 2040, the Sierra Nevada may not be able to support carbon loads of aboveground live trees over 20 Mg C/ha (note that they report biomass values, not carbon values). Carbon values are generally assumed to be half of biomass (See CAL FIRE’s “AB 1504” methodology, Christensen et al., 2019). Conversion from short tons per acre (the default F3 output units) to Mg/ha requires multiplication by 2.2417023114334.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire for increased carbon sequestration on natural and working lands, with higher values considered more favorable.----------------- Unit Of Measure: Mg C/ha
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Plants respond to conditions in their immediate vicinity. Thus, to understand the vegetative moisture stress during drought, it is important to measure the local moisture balance. The actual evapotranspiration fraction (AETF) provides such a measure. Specifically, it indicates whether a location is expected to experience local drying during a drought, or whether the location receives sufficient precipitation that it will remain moist even during an extended drought. An extended drought is defined by a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is two standard deviations below the long-term mean (SPI-48 = -2). Such a drought is expected approximately once every 50 years in the Sierra Nevada. The southern Sierra 2012-2015 drought was a SPI-48 drought = -2.0, which resulted in severe vegetation die-off and a marked reduction in water deliveries.--------The AETF ranges from 0 to > 100%; a low value indicates a wetter location during drought and a high value indicates a drier location. Locations <100% would be expected to generate runoff, even during a SPI-48 drought = -2.0, and would be expected to continue generating runoff. Locations >100% would be expected to desiccate the soil during drought, with negligible runoff, and increasing vegetation drought stress.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Name: Actual Evapotranspiration Fraction normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Plants respond to conditions in their immediate vicinity. Thus, to understand the vegetative moisture stress during drought, it is important to measure the local moisture balance. The actual evapotranspiration fraction (AETF) provides such a measure. Specifically, it indicates whether a location is expected to experience local drying during a drought, or whether the location receives sufficient precipitation that it will remain moist even during an extended drought. An extended drought is defined by a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is two standard deviations below the long-term mean (SPI-48 = -2). Such a drought is expected approximately once every 50 years in the Sierra Nevada. The southern Sierra 2012-2015 drought was a SPI-48 drought = -2.0, which resulted in severe vegetation die-off and a marked reduction in water deliveries.--------The AETF ranges from 0 to > 100%; a low value indicates a wetter location during drought and a high value indicates a drier location. Locations <100% would be expected to generate runoff, even during a SPI-48 drought = -2.0, and would be expected to continue generating runoff. Locations >100% would be expected to desiccate the soil during drought, with negligible runoff, and increasing vegetation drought stress.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Runoff is a measure of the water available for storage. It is determined by both the water supply and the demand of the existing vegetation. Annual mean runoff measures the “average” vegetative demand and thus provides a comparative index on the potential available runoff. Specifically, Annual Mean Runoff is the expected surplus water that would discharge to surface or ground water flows during a series of years with average precipitation. Larger values indicate more runoff under mean conditions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Runoff is a measure of the water available for storage. It is determined by both the water supply and the demand of the existing vegetation. Annual mean runoff measures the “average” vegetative demand and thus provides a comparative index on the potential available runoff. Specifically, Annual Mean Runoff is the expected surplus water that would discharge to surface or ground water flows during a series of years with average precipitation. Larger values indicate more runoff under mean conditions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: By definition, drought reduces the supply of water. However, the impact of this reduction varies across the landscape and is directly influenced by vegetative demand. The Reduction in Runoff During Extreme Drought indicates the potential reduction in surplus water during a drought. Extreme drought is defined as a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is 2.5 standard deviations below the long-term mean (SPI-48 = -2.5). Larger values indicate more severe reductions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: By definition, drought reduces the supply of water. However, the impact of this reduction varies across the landscape and is directly influenced by vegetative demand. The Reduction in Runoff During Extreme Drought indicates the potential reduction in surplus water during a drought. Extreme drought is defined as a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is 2.5 standard deviations below the long-term mean (SPI-48 = -2.5). Larger values indicate more severe reductions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Vegetation stress is a measure of the moisture shortfall in a given year. It is an effective early predictor of potential drought-induced tree mortality (Madakumbura et al. 2020). Shortfall is the difference between plant demand (i.e., actual evapotranspiration) and water supply (i.e., precipitation and soil moisture). Vegetative Stress During Extreme Drought indicates the unmet water demand during an extreme drought, defined as a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is 2.5 standard deviations below the long-term mean (SPI-48 = -2.5). More negative values indicate more stress.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Vegetation stress is a measure of the moisture shortfall in a given year. It is an effective early predictor of potential drought-induced tree mortality (Madakumbura et al. 2020). Shortfall is the difference between plant demand (i.e., actual evapotranspiration) and water supply (i.e., precipitation and soil moisture). Vegetative Stress During Extreme Drought indicates the unmet water demand during an extreme drought, defined as a 48-month period where the Standardized Precipitation Index (SPI, NCAR 2022) is 2.5 standard deviations below the long-term mean (SPI-48 = -2.5). More negative values indicate more stress.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: mm/y
Copyright Text: UC Irvine: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Emissions (on which the modeled PFIRS and Smoke Spotter smoke plumes are based, and which are generated by the BlueSky Playground) are especially sensitive to changes in the coarse fraction of dead wood in the fuel bed, if those fractions are dry enough to be available. It is therefore important to map with project-scale detail where the heaviest fuels might be, so managers have a good estimate for operational smoke management and scenario planning at their project scale, and where perhaps the standard fuelbeds (and emissions estimates based on them) might be underestimating heat and smoke production that can drive unexpected fire behavior, plume loft, and/or smoke impacts.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons biomass/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Emissions (on which the modeled PFIRS and Smoke Spotter smoke plumes are based, and which are generated by the BlueSky Playground) are especially sensitive to changes in the coarse fraction of dead wood in the fuel bed, if those fractions are dry enough to be available. It is therefore important to map with project-scale detail where the heaviest fuels might be, so managers have a good estimate for operational smoke management and scenario planning at their project scale, and where perhaps the standard fuelbeds (and emissions estimates based on them) might be underestimating heat and smoke production that can drive unexpected fire behavior, plume loft, and/or smoke impacts.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for the relationship between fuels and expected emissions from fire, with lower values considered more favorable.----------------- Unit Of Measure: Short tons biomass/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The F3 modeled-based emissions could be a more locally precise alternative for the standard Landfire/FCCS based estimated emissions for wildfire emissions. Reporting units are not on a per acre, but a per pixel basis, so that zonal summaries for the area of interest can quickly total up the possible emissions, and compare them to Rx fire emissions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons of PM2.5
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The F3 modeled-based emissions could be a more locally precise alternative for the standard Landfire/FCCS based estimated emissions for wildfire emissions. Reporting units are not on a per acre, but a per pixel basis, so that zonal summaries for the area of interest can quickly total up the possible emissions, and compare them to Rx fire emissions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for poor air quality affecting human health and recreation opportunities, with lower emissions considered more favorable.----------------- Unit Of Measure: Short tons of PM2.5
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: In California, and for prescribed fires, the PFIRS system requires emission estimates alongside fuels (biomass) estimates. PFIRS emission estimates directly inform the modeled results that are disseminated by the smoke spotter app (and in the PFIRS system). The F3 model-based emissions could be a more locally precise alternative for the standard Landfire/FCCS based emissions for Rx fire projects currently implemented in PFIRS. Reporting units are not on a per acre, but a per pixel basis, so that zonal summaries for the area of interest can quickly total up the possible emissions, and compare them to wildfire emissions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Short tons PM2.5
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: In California, and for prescribed fires, the PFIRS system requires emission estimates alongside fuels (biomass) estimates. PFIRS emission estimates directly inform the modeled results that are disseminated by the smoke spotter app (and in the PFIRS system). The F3 model-based emissions could be a more locally precise alternative for the standard Landfire/FCCS based emissions for Rx fire projects currently implemented in PFIRS. Reporting units are not on a per acre, but a per pixel basis, so that zonal summaries for the area of interest can quickly total up the possible emissions, and compare them to wildfire emissions.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for poor air quality affecting human health and recreation opportunities, with lower emissions considered more favorable.----------------- Unit Of Measure: Short tons PM2.5
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017).--------The cost and availability of housing is an important determinant of well-being. Households with lower incomes may spend a larger proportion of their income on housing. The inability of households to afford necessary non-housing goods after paying for shelter is known as housing-induced poverty. California has very high housing costs relative to much of the country, making it difficult for many to afford adequate housing. Within California, the cost of living varies significantly and is largely dependent on housing cost, availability, and demand.--------Areas where low-income households may be stressed by high housing costs can be identified through the Housing and Urban Development (HUD) Comprehensive Housing Affordability Strategy (CHAS) data. We measure households earning less than 80% of HUD Area Median Family Income by county and paying greater than 50% of their income to housing costs. The indicator takes into account the regional cost of living for both homeowners and renters, and factors in the cost of utilities. CHAS data are calculated from US Census Bureau’s American Community Survey (ACS).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Description: Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017).--------The cost and availability of housing is an important determinant of well-being. Households with lower incomes may spend a larger proportion of their income on housing. The inability of households to afford necessary non-housing goods after paying for shelter is known as housing-induced poverty. California has very high housing costs relative to much of the country, making it difficult for many to afford adequate housing. Within California, the cost of living varies significantly and is largely dependent on housing cost, availability, and demand.--------Areas where low-income households may be stressed by high housing costs can be identified through the Housing and Urban Development (HUD) Comprehensive Housing Affordability Strategy (CHAS) data. We measure households earning less than 80% of HUD Area Median Family Income by county and paying greater than 50% of their income to housing costs. The indicator takes into account the regional cost of living for both homeowners and renters, and factors in the cost of utilities. CHAS data are calculated from US Census Bureau’s American Community Survey (ACS).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns for projects to benefit economically stressed populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no economically stressed populations (higher values).----------------- Unit Of Measure: Percent
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Description: Percentage of the population over the age of 16 that is unemployed and eligible for the labor force. Excludes retirees, students, homemakers, institutionalized persons except prisoners, those not looking for work, and military personnel on active duty (5-year estimate, 2015-2019).--------Because low socioeconomic status often goes hand-in-hand with high unemployment, the rate of unemployment is a factor commonly used in describing disadvantaged communities. On an individual level, unemployment is a source of stress, which is implicated in poor health reported by residents of such communities. Lack of employment and resulting low income often constrain people to live in neighborhoods with higher levels of pollution and environmental degradation.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Percent
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Description: Percentage of the population over the age of 16 that is unemployed and eligible for the labor force. Excludes retirees, students, homemakers, institutionalized persons except prisoners, those not looking for work, and military personnel on active duty (5-year estimate, 2015-2019).--------Because low socioeconomic status often goes hand-in-hand with high unemployment, the rate of unemployment is a factor commonly used in describing disadvantaged communities. On an individual level, unemployment is a source of stress, which is implicated in poor health reported by residents of such communities. Lack of employment and resulting low income often constrain people to live in neighborhoods with higher levels of pollution and environmental degradation.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values and 1 representing low values. This interpretation reflects concerns for projects to benefit economically stressed populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no economically stressed populations (higher values).----------------- Unit Of Measure: Percent
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Description: This data layer, updated May 2022, reflects low-income community designations. Certain populations are especially vulnerable to the impacts of climate change. At least 35 percent of California Climate Investments must benefit these populations, which include disadvantaged communities, low-income communities, and low-income households, also known as "priority populations."--------Low-income communities and households are defined as the census tracts and households, respectively, that are either at or below 80 percent of the statewide median income, or at or below the threshold designated as low-income by the California Department of Housing and Community Development's (HCD) Revised 2021 State Income Limits (Low-income definitions per Assembly Bill (AB) 1550 (Gomez, Chapter 369, Statutes of 2016)).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: binary; 1 = No, 2 = Yes
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Name: Low Income Populations (CalEnviro) normalized
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This data layer, updated May 2022, reflects low-income community designations. Certain populations are especially vulnerable to the impacts of climate change. At least 35 percent of California Climate Investments must benefit these populations, which include disadvantaged communities, low-income communities, and low-income households, also known as "priority populations."--------Low-income communities and households are defined as the census tracts and households, respectively, that are either at or below 80 percent of the statewide median income, or at or below the threshold designated as low-income by the California Department of Housing and Community Development's (HCD) Revised 2021 State Income Limits (Low-income definitions per Assembly Bill (AB) 1550 (Gomez, Chapter 369, Statutes of 2016)).----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for projects to benefit low-income populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no low-income populations (higher values).----------------- Unit Of Measure: binary; 1 = No, 2 = Yes
Copyright Text: Office of Environmental Health Hazard Assessment, CAL EPA: The CalEnviroScreen 4.0 model is based on CalEPA’s definition of cumulative impacts. The model is based on geography, specifically census tracts in California. It presents information for the entire state.
Description: The Low-Income metric is derived from American Community Survey data published by the Census Bureau. The ACS is administered on a rolling basis to a small annual sample of households: samples for the estimate of low-income population and total population in households with income estimated used for this feature were collected from 2016 to 2020. Thus, the concentration of low-income individuals does not describe a point in time, as do the race/ethnicity counts. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where individuals living in low-income households are disproportionately present in comparison to the total households population of the ACCEL project region. The relative concentration of low-income individuals is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Low-Income metric is derived from American Community Survey data published by the Census Bureau. The ACS is administered on a rolling basis to a small annual sample of households: samples for the estimate of low-income population and total population in households with income estimated used for this feature were collected from 2016 to 2020. Thus, the concentration of low-income individuals does not describe a point in time, as do the race/ethnicity counts. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where individuals living in low-income households are disproportionately present in comparison to the total households population of the ACCEL project region. The relative concentration of low-income individuals is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for projects to benefit low-income populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no low-income populations (higher values).----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Race/Ethnicity metrics are derived from 2020 Decennial Census Redistricting File data published by the Census Bureau in September 2021. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where Hispanic/Latino are disproportionately present in comparison to the total Hispanic/Latino population of the ACCEL project region. The relative concentration of Hispanic/Latino individuals is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Race/Ethnicity metrics are derived from 2020 Decennial Census Redistricting File data published by the Census Bureau in September 2021. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where Hispanic/Latino are disproportionately present in comparison to the total Hispanic/Latino population of the ACCEL project region. The relative concentration of Hispanic/Latino individuals is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for projects to benefit Hispanic/Latino populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no Hispanic/Latino populations (higher values).----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Race/Ethnicity metrics are derived from 2020 Decennial Census Redistricting File data published by the Census Bureau in September 2021. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where Native Americans are disproportionately present in comparison to the total Native American population of the ACCEL project region. The relative concentration of Native Americans individuals in a block group is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: The Race/Ethnicity metrics are derived from 2020 Decennial Census Redistricting File data published by the Census Bureau in September 2021. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where Native Americans are disproportionately present in comparison to the total Native American population of the ACCEL project region. The relative concentration of Native Americans individuals in a block group is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for projects to benefit Native American populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no Native American populations (higher values).----------------- Unit Of Measure: Categorical
Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric expresses the amount of total existing, aboveground, live tree stem biomass measured in dry weight tons per acre. This metric can be used to assess the sawtimber volume present at the 30m cell level.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Dry weight tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric expresses the amount of total existing, aboveground, live tree stem biomass measured in dry weight tons per acre. This metric can be used to assess the sawtimber volume present at the 30m cell level.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire to understand sawlog availability and potential yields, with higher values considered more favorable.----------------- Unit Of Measure: Dry weight tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric expresses the total amount of existing biomass volume (measured in dry weight tons per acre) from all live tree crowns (branchwood and foliage) and the tree stems less than 10” dbh. This metric can be used to assess the volume of biomass present at the 30m cell level. It is recognized in some forest types, shrub biomass can be a significant contributor to the total biomass, however due to the aforementioned limitations of the F3 model, the shrub component has not been included.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Dry weight tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: This metric expresses the total amount of existing biomass volume (measured in dry weight tons per acre) from all live tree crowns (branchwood and foliage) and the tree stems less than 10” dbh. This metric can be used to assess the volume of biomass present at the 30m cell level. It is recognized in some forest types, shrub biomass can be a significant contributor to the total biomass, however due to the aforementioned limitations of the F3 model, the shrub component has not been included.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing low values and 1 representing high values. This interpretation reflects the desire to understand biomass availability and potential yields, with higher values considered more favorable.----------------- Unit Of Measure: Dry weight tons/acre
Copyright Text: USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Costs of potential treatments per acre moving sawlogs with a skidder. This metric is dependent on predefined treatments or silvicultural prescriptions, which are best generated at the local and/or project level. The cost to perform each treatment given a defined prescription and should consider an array of factors including the spatial juxtaposition of the resources and infrastructure, as well as the location of the saw timber and biomass processing plants.--------Treatment cost calculations take into consideration the multiple costs necessary to move material from the forest harvest site to a processing location (sawmill or biomass facility) and includes the costs of felling, processing, skidding and hauling:--------costs to move material along different types of roads (i.e., dirt, paved, highways, etc.)--------across barriers (i.e., water courses)--------operational costs--------machine costs--------speed of moving material across the landscape.--------Cost values have been broken down into the costs to move either biomass or sawlogs.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Dollars
Copyright Text: USDA Forest Service - Rocky Mountain Research Station: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Costs of potential treatments per acre moving sawlogs with a skidder. This metric is dependent on predefined treatments or silvicultural prescriptions, which are best generated at the local and/or project level. The cost to perform each treatment given a defined prescription and should consider an array of factors including the spatial juxtaposition of the resources and infrastructure, as well as the location of the saw timber and biomass processing plants.--------Treatment cost calculations take into consideration the multiple costs necessary to move material from the forest harvest site to a processing location (sawmill or biomass facility) and includes the costs of felling, processing, skidding and hauling:--------costs to move material along different types of roads (i.e., dirt, paved, highways, etc.)--------across barriers (i.e., water courses)--------operational costs--------machine costs--------speed of moving material across the landscape.--------Cost values have been broken down into the costs to move either biomass or sawlogs.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing higher costs and 1 representing lower costs. This interpretation reflects the desire to consider costs in project design, with lower costs considered more favorable.----------------- Unit Of Measure: Dollars
Copyright Text: USDA Forest Service - Rocky Mountain Research Station: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Costs of potential treatments per acre moving sawlogs with a skidder. This metric is dependent on predefined treatments or silvicultural prescriptions, which are best generated at the local and/or project level. The cost to perform each treatment given a defined prescription and should consider an array of factors including the spatial juxtaposition of the resources and infrastructure, as well as the location of the saw timber and biomass processing plants.--------Treatment cost calculations take into consideration the multiple costs necessary to move material from the forest harvest site to a processing location (sawmill or biomass facility) and includes the costs of felling, processing, skidding and hauling:--------costs to move material along different types of roads (i.e., dirt, paved, highways, etc.)--------across barriers (i.e., water courses)--------operational costs--------machine costs--------speed of moving material across the landscape.--------Cost values have been broken down into the costs to move either biomass or sawlogs.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Dollars
Copyright Text: USDA Forest Service - Rocky Mountain Research Station: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Costs of potential treatments per acre moving sawlogs with a skidder. This metric is dependent on predefined treatments or silvicultural prescriptions, which are best generated at the local and/or project level. The cost to perform each treatment given a defined prescription and should consider an array of factors including the spatial juxtaposition of the resources and infrastructure, as well as the location of the saw timber and biomass processing plants.--------Treatment cost calculations take into consideration the multiple costs necessary to move material from the forest harvest site to a processing location (sawmill or biomass facility) and includes the costs of felling, processing, skidding and hauling:--------costs to move material along different types of roads (i.e., dirt, paved, highways, etc.)--------across barriers (i.e., water courses)--------operational costs--------machine costs--------speed of moving material across the landscape.--------Cost values have been broken down into the costs to move either biomass or sawlogs.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing higher costs and 1 representing lower costs. This interpretation reflects the desire to consider costs in project design, with lower costs considered more favorable.----------------- Unit Of Measure: Dollars
Copyright Text: USDA Forest Service - Rocky Mountain Research Station: The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
Description: Aquatic native species richness is a measure of species biodiversity, and is one measurement used to describe the distribution of overall species biodiversity in California for the California Department of Fish and Wildlife (CDFW) Areas of Conservation Emphasis Project (ACE). Native species richness represents a count of the total number of native aquatic species potentially present in each watershed based on species range and distribution information. The data can be used to view patterns of species diversity, and to identify areas of highest native richness across the state. The species counts consist of four taxonomic groups - fish, aquatic invertebrates, aquatic amphibians, and aquatic reptiles.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Count
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Aquatic native species richness is a measure of species biodiversity, and is one measurement used to describe the distribution of overall species biodiversity in California for the California Department of Fish and Wildlife (CDFW) Areas of Conservation Emphasis Project (ACE). Native species richness represents a count of the total number of native aquatic species potentially present in each watershed based on species range and distribution information. The data can be used to view patterns of species diversity, and to identify areas of highest native richness across the state. The species counts consist of four taxonomic groups - fish, aquatic invertebrates, aquatic amphibians, and aquatic reptiles.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme upper values at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing zero, and 1 representing high values. This interpretation reflects concerns for conserving aquatic species diversity, with greater richness considered more favorable.----------------- Unit Of Measure: Count
Copyright Text: California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information--------------------------------California Department of Fish and Wildlife: Terrestrial Connectivity, Areas of Conservation Emphasis (ACE), version 3.1. Last updated 08/21/2019.The Terrestrial Connectivity dataset is one of the four key components of the California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) suite of terrestrial conservation information
Description: Sensitivity is measure of the slope of the relationship between April 1st Snowpack and September vegetation wetness (Normalized Difference Water Index; NDWI). Data is based on percentile rank for the study region.--------The purpose of this dataset is to be used in conjunction with the decision framework: Gross, S., M. McClure, C. Albano, and B. Estes. 2019. A spatially explicit meadow vulnerability decision framework to prioritize meadows for restoration and conservation in the context of climate change. Version 1. The decision framework and this dataset can aid in the prioritization of meadow conservation and restoration in the context of other priorities in the Sierra Nevada and Cascade ranges in California.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values----------------- Unit Of Measure: Relative index
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.
Description: Sensitivity is measure of the slope of the relationship between April 1st Snowpack and September vegetation wetness (Normalized Difference Water Index; NDWI). Data is based on percentile rank for the study region.--------The purpose of this dataset is to be used in conjunction with the decision framework: Gross, S., M. McClure, C. Albano, and B. Estes. 2019. A spatially explicit meadow vulnerability decision framework to prioritize meadows for restoration and conservation in the context of climate change. Version 1. The decision framework and this dataset can aid in the prioritization of meadow conservation and restoration in the context of other priorities in the Sierra Nevada and Cascade ranges in California.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for impacts to meadow function and integrity from drought and climate impacts, with lower sensitivity considered more favorable.----------------- Unit Of Measure: Relative index
Copyright Text: UC Davis: The University of California (“UC”) makes the materials on this website available pursuant to the following disclaimers: the materials are offered “as is”; user assumes any and all risks, of any kind or amount, of using these materials; user shall use the materials only in accordance with law; user releases, waives, discharges and promises not to sue UC, its directors, officers, employees or agents, from liability from any and all claims, including the negligence of UC, resulting in personal injury (including death), accidents or illnesses, property loss, as well as any and all loss of business and/or profit in connection with user's use of the materials; and user shall indemnify and hold UC harmless from any and all claims, actions, suits, procedures, costs, expenses, damages, and liabilities, including attorney's fees, arising out of user's use of the materials and shall reimburse UC for any such incurred expenses, fees or costs.