ArcGIS REST Services Directory Login | Get Token

r03/r03_SEVA_01 (FeatureServer)

View In:   ArcGIS Online Map Viewer

View Footprint In:   ArcGIS Online Map Viewer

Service Description: A changing climate and its effects on ecosystem services will have broad impacts, however, not all people and communities will be equally affected. This assessment of vulnerability is concerned with identifying communities and geographic areas where climate-change-driven ecological changes have the potential to adversely affect human well-being due to changes in the provision of ecosystem services. Communities that are at greater risk of ecological changes and that lack adaptive capacity are considered more vulnerable. We analyzed vulnerability components of exposure, sensitivity, and adaptive capacity based on available socioeconomic and ecological data. Reporting here includes quantitative and spatially based summaries on community risk, resource sector dependence, and capacity to adapt, as well as an integration of the three vulnerability components. This report extends existing vulnerability reporting focused on national forests by assessing all lands, regardless of ownership, in Arizona and New Mexico. Vulnerability in the Triepke et al. (2019) study is defined as how likely the predominant vegetation is to change under future climate. Vulnerability to climate change was categorized as low, moderate, high, and very high likelihood of change, according to the difference between historic and future climate. The original dataset segments all lands into ecological response units (ERUs)—a classification of lands into 26 ecosystem types (for example, spruce-fir forest, ponderosa pine forest, Juniper grass, semi-desert grassland, sagebush shrubland) to provide a fine subregional landscape analysis. Each ERU is assigned a vulnerability classification and an uncertainty classification based on the agreement of their modeling projections. The polygon geospatial layer was summarized as the percentage of each geography (e.g. census tract) with high or very high likelihood of vegetative change when uncertainty is low or moderate. Calculation using Triepke, F. J., E. H. Muldavin, and M. M. Wahlberg. 2019. Using climate projections to assess ecosystem vulnerability at scales relevant to managers. Ecosphere 10(9):e02854. 10.1002/ecs2.2854

All Layers and Tables

Has Versioned Data: true

MaxRecordCount: 3000

Supported Query Formats: JSON

Supports Query Data Elements: true

Layers: Description:

Copyright Text: Triepke, F. J., E. H. Muldavin, and M. M. Wahlberg. 2019

Spatial Reference: PROJCS["North_America_Lambert_Conformal_Conic",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-108.0],PARAMETER["Standard_Parallel_1",32.0],PARAMETER["Standard_Parallel_2",36.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]

Initial Extent: Full Extent: Units: esriMeters

Document Info: Enable Z Defaults: false

Sync Capabilities:

Supports ApplyEdits With Global Ids: false

Support True Curves : true

Only Allow TrueCurve Updates By TrueCurveClients : false

Supports Dynamic Layers: false

Child Resources:   Info   Replicas   Query Data Elements   Relationships

Supported Operations:   Query   QueryDomains   Query Contingent Values   Apply Edits   Create Replica   Synchronize Replica   Unregister Replica