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Service Description: This dataset uses habitat suitability models to identify areas representing habitat conservation opportunities for a taxonomically diverse set of 2,216 of the nation's most imperiled species as listed below. Imperiled species are defined as species designated Globally Critically Imperiled (G1), Globally Imperiled (G2), or listed at the full species level on the Endangered Species Act. Higher scores are driven by the rarity (range size) of an imperiled species, the number of imperiled species co-occurring in a single grid cell, or a combination of both. Species include: -Vertebrates (birds, mammals, amphibians, reptiles, freshwater fishes; 309 species) -Freshwater invertebrates (mussels and crayfishes; 228 species) -Pollinators (bumblebees, butterflies, and skippers; 43 species) -Vascular plants (1,636 species) MoBI highlights the important relationship between species range size and habitat conservation opportunities. Within each Forest Service region, the grid cells with the highest (25%, 10%, 5%, and 1%) scores were identified.
Spatial Extent: CONUS
Units: Categories of top scoring areas (top 1, 5, 10, and 25%) for summed range-size rarity of imperiled species
Name: Ecosystems/USFS_CRV_Biodiversity_NatureServeMapOfBiodiversityImpor
Description:
Single Fused Map Cache: false
Extent:
XMin: -1.4230566692751875E7
YMin: 2663198.7052080417
XMax: -7279776.692751875
YMax: 6717248.705208042
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.4230566692751875E7
YMin: 2663198.7052080417
XMax: -7279776.692751875
YMax: 6717248.705208042
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.4230566692751875E7
YMin: 2663198.7052080417
XMax: -7279776.692751875
YMax: 6717248.705208042
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 990.0
Pixel Size Y: 990.0
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"help": "",
"name": "biodiversityimportance_symbology",
"description": "biodiversity importance 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: NatureServe (Healy et al. 2022)
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 75
Max Values: 99
Mean Values: 82.632470689628548
Standard Deviation Values: 9.0695486570775845
Object ID Field: objectid
Fields:
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objectid
(
alias: objectid
, type: esriFieldTypeOID
)
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name
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length: 200
, alias: name
, type: esriFieldTypeString
)
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minps
(
alias: minps
, type: esriFieldTypeDouble
)
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maxps
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alias: maxps
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lowps
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alias: lowps
, type: esriFieldTypeDouble
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highps
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alias: highps
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category
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alias: category
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, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
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tag
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length: 100
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groupname
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length: 100
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productname
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length: 100
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centerx
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alias: centerx
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centery
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alias: centery
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zorder
(
alias: zorder
, type: esriFieldTypeInteger
)
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shape
(
alias: shape
, type: esriFieldTypeGeometry
)
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:
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:
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