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Layer: mAMBEx_CONUS_Range_2001v1 (ID:0)

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Name: mAMBEx_CONUS_Range_2001v1

Display Field:

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <span style="color:rgb(51, 51, 51); font-family:&quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:14px;">GAP distribution models represent the areas where species are predicted to occur based on habitat associations. The distribution models represent the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments for this species' habitat distribution model, we used the land cover and other ancillary datasets listed here in this metadata. Details on the habitat affinities and the parameters used to model are provided in the species report in the attached files section of this record.These models can be used to assess the habitat availability across the range of the species and in combination with other data to assess the conservation status or threats to the habitat for the species.</span>

Copyright Text: U.S. Geological Survey (USGS) - Gap Analysis Project (GAP), 2018, American Beaver (Castor canadensis) mAMBEx_CONUS_2001v1 Habitat Map: U.S. Geological Survey data release, https://doi.org/10.5066/F7K35S1S. https://www.sciencebase.gov/catalog/item/58fa6084e4b0b7ea545256e6

Min. Scale: 0

Max. Scale: 577790

Default Visibility: true

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

Drawing Info:

HasZ: false

HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeNone

Object ID Field: FID

Unique ID Field:

Global ID Field:

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Fields:
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Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 4/10/2023 7:50:43 PM

Schema Last Edit Date: 4/10/2023 6:06:49 PM

Data Last Edit Date: 4/10/2023 6:06:49 PM

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