ArcGIS REST Services Directory Login
JSON | SOAP | WMS

Ecosystems/USFS_CRV_Biodiversity_SagebrushEcologicalIntegrity (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Enterprise Map Viewer   ArcGIS Earth

Service Description:

These data were compiled as a part of a landscape conservation design effort for the sagebrush biome, and are the result of applying a spatially explicit model that assessed geographic patterns in sagebrush ecological integrity and used these results to identify Core Sagebrush Areas (CSAs), Growth Opportunity Areas (GOAs), and Other Rangeland Areas (ORAs). The estimation of sagebrush ecological integrity was derived from a spatial model that characterizes patches with high ecological integrity as those with abundant big sagebrush and perennial grass/forb cover and with minimal annual grass/forb cover, minimal conifers, and minimal human modification. “Core Sagebrush Areas” are places where those high-integrity patches converge to create large intact landscapes. This spatial model was applied over the entire sagebrush biome for several time periods and was estimated for 5 historical time periods between 1998 and 2020, and for one future time period (2030-2060). For each time period, input data were derived from satellite imagery (e.g. data on sagebrush and perennial grass cover), and the spatial model used those input values to estimate sagebrush ecological integrity. This approach to estimating ecological integrity was developed by consultation with experts from across the biome, allowing for the relationship between integrity and plant cover to vary among regions, as described in Doherty et al (2022). These data can be used to inform and prioritize conservation and restoration efforts across the sagebrush biome. For more information, please see - https://www.sciencebase.gov/catalog/item/62d57e89d34e87fffb2dda62 .

Spatial Extent: Western CONUS

Units: "Categories of Sagebrush:

Non-sagebrush areas (not included in analyses)

Core habitat areas

Growth opportunity areas

Other rangeland areas"



Name: Ecosystems/USFS_CRV_Biodiversity_SagebrushEcologicalIntegrity

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 30.000000004

Pixel Size Y: 30.000000004000004

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "sagebrushecologicalintegrity_symbology", "description": "sagebrush ecological integrity symbology" }, { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Doherty, K., Theobald, D.M., Holdrege, M.C., Wiechman, L.A., and Bradford, J.B., 2022, Biome-wide sagebrush core habitat and growth areas estimated from a threat-based conservation design: U.S. Geological Survey data release, https://doi.org/10.5066/P94Y5CDV.

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 3

Mean Values: 0.80953237701535652

Standard Deviation Values: 1.1998750543572476

Object ID Field: objectid

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: N/A

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 100000

Max Image Width: 100000

Max Download Image Count: 20

Max Mosaic Image Count: 100

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: N/A

Ownership Based AccessControl For Rasters: N/A

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project