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HP_WAHCAP/NetworkImportance (ImageServer)

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Service Description:

Network Importance developed by TerrAdapt for the Washington Habitat Connectivity Action Plan. This model assessed the relative importance of areas to the overall connectivity network.

One shortcoming of the core-corridor and permeability models is that they reveal the best routes through a landscape (between core areas, and locally to neighboring pixels, respectively), but they don’t reflect the relative frequency at which those routes are likely to be used given the distribution of habitat and the quality of habitat across an ecosystem. Routes connecting two large core areas containing substantial high quality habitat are much more likely to be used by dispersing individuals compared to routes that connect smaller and/or lower quality cores. The relative density is a function of the density of the population interacting with the patterns of resistance on the landscape, and is a measure of centrality in the network of connected habitats (i.e., areas with the high dispersal densities are central within the population, connecting more of the population than less central areas). An understanding of relative dispersal density is valuable in that it enables prioritization of the most central parts of the network connecting the most high quality habitat.

To address this gap, we calculated an index intended to reflect the relative dispersal density across the landscape for each ecosystem. The source of dispersal was the core areas and the dispersal density inside each core was the square root of the core area multiplied by the mean habitat quality of the core. Dispersal density decreased moving outwards from each core as a function of the square of cost distance, scaled from 1 to 0 as the cost distance from the core increased from 0 to the maximum cost distance of 100km. Summing these dispersal ‘kernels’ across all the cores yielded the final dispersal density. Areas with many large cores of high quality had very high dispersal density relative to areas with fewer, smaller cores of lower quality.



Name: HP_WAHCAP/NetworkImportance

Description:

Network Importance developed by TerrAdapt for the Washington Habitat Connectivity Action Plan. This model assessed the relative importance of areas to the overall connectivity network.

One shortcoming of the core-corridor and permeability models is that they reveal the best routes through a landscape (between core areas, and locally to neighboring pixels, respectively), but they don’t reflect the relative frequency at which those routes are likely to be used given the distribution of habitat and the quality of habitat across an ecosystem. Routes connecting two large core areas containing substantial high quality habitat are much more likely to be used by dispersing individuals compared to routes that connect smaller and/or lower quality cores. The relative density is a function of the density of the population interacting with the patterns of resistance on the landscape, and is a measure of centrality in the network of connected habitats (i.e., areas with the high dispersal densities are central within the population, connecting more of the population than less central areas). An understanding of relative dispersal density is valuable in that it enables prioritization of the most central parts of the network connecting the most high quality habitat.

To address this gap, we calculated an index intended to reflect the relative dispersal density across the landscape for each ecosystem. The source of dispersal was the core areas and the dispersal density inside each core was the square root of the core area multiplied by the mean habitat quality of the core. Dispersal density decreased moving outwards from each core as a function of the square of cost distance, scaled from 1 to 0 as the cost distance from the core increased from 0 to the maximum cost distance of 100km. Summing these dispersal ‘kernels’ across all the cores yielded the final dispersal density. Areas with many large cores of high quality had very high dispersal density relative to areas with fewer, smaller cores of lower quality.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 328.0833333333333

Pixel Size Y: 328.0833333333333

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: This layer was developed for the 2025 Washington Habitat Connectivity Action Plan by TerrAdapt (https://terradapt.org/).

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 100

Mean Values: 55.50377895055412

Standard Deviation Values: 41.10908786121902

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: false

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

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

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project