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Ecosystems/USFS_CRV_Biodiversity_PhysiographicDiversity (ImageServer)

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Service Description:

Physiographic diversity, or geodiversity, is a measure of abiotic diversity. It refers to the physical features that provide the environmental setting or "stage" for biological activity. Areas with greater diversity in physical features usually correlate with higher levels of biodiversity. The greater number of ecological niches present in a physiographically diverse landscape often support the presence of rare species and high levels of endemism. As a result, geodiversity may be used in some contexts as a proxy for biodiversity and/or endemism when other data are unavailable and/or to augment existing information on species and their habitats. Geodiversity is also recognized as a crucial element of climate refugia. To develop this dataset, Theobald et al. generated novel spatial databases for 15 landform and 269 physiographic types across the conterminous United States of America. They examined their potential use by natural resource managers by placing them within a contemporary climate change adaptation framework, and found the physiographic databases could play key roles in four of seven general adaptation strategies. They also calculated correlations with common empirical measures of biodiversity to examine the degree to which the physiographic setting explains various aspects of current biodiversity patterns. Additionally, they evaluated the relationship between landform diversity and measures of climate change to explore how changes may unfold across a geophysical template. ( Theobald et al 2015 - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619 ).

Spatial Extent: CONUS

Units: Shannon's Equitability



Name: Ecosystems/USFS_CRV_Biodiversity_PhysiographicDiversity

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 304.629204021

Pixel Size Y: 304.629204021

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "physiographicdiversity_symbology", "description": "physiographic diversity 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: Conservation Planning Technologies: Theobald et al. 2015

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 7

Mean Values: 1.9301697219826139

Standard Deviation Values: 1.1848047435583042

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