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Name: Stand Density Index (Zeide)
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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.
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