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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:
XMin: -1.388853E7
YMin: 2816729.98928908
XMax: -7452628.806648333
YMax: 6340375.992199987
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.388853E7
YMin: 2816729.98928908
XMax: -7452628.806648333
YMax: 6340375.992199987
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.388853E7
YMin: 2816729.98928908
XMax: -7452628.806648333
YMax: 6340375.992199987
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 304.629204021
Pixel Size Y: 304.629204021
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
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"help": "",
"name": "physiographicdiversity_symbology",
"description": "physiographic diversity symbology"
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"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset."
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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
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Max Values: 7
Mean Values: 1.9301697219826139
Standard Deviation Values: 1.1848047435583042
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Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
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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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: N/A
Ownership Based AccessControl For Rasters: N/A
Child Resources:
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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