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biodiversity/Criterion_2_Ecological_representativeness_v1 (ImageServer)

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Service Description: The Criterion 2: Ecological representativeness v1.0 raster (250 m resolution) represents relative scores across terrestrial Australia categorised into percentile-based thresholds that highlight areas that have comparatively low representation and/or protection status. It was generated using a reproducible MCDA workflow implemented in Python and ArcGIS Pro. The workflow includes: Criterion 2: Applied Comprehensive, Adequate and Representative (CAR) principles to assess ecosystem representation and protection across IBRA regions using National Vegetation Information System (NVIS) MVGs and the Collaborative Australia Protected Areas Database. The final raster reflects areas where this criterion is met with scores out of 1000 and protected areas masked (assigned value of 4000). Higher scores (between 0 to 1000) equate to areas that have low ecological representativeness and/or protection in current protected areas. Identifying biodiversity value and potential to enhance the representativeness of Australia’s Protected Areas using Multi-Criteria Decision Analysis Version 1.0. that describes the data and methods is available at: https://erin.maps.arcgis.com/home/item.html?id=6510ec40d81c43cda8d44e86b81adce2Criterion 2 Inputs: Interim Biogeographic Regionalisation for Australia - Regions Interim Biogeographic Regionalisation for Australia - Subregions National Vegetation Information System Pre -1750 MVG (100m) National Vegetation Information System Extant MVG (100m) Collaborative Australian Protected Areas Database - Terrestrial Caveats The analysis only uses national data, which may have variable quality and availability across the country. Some of this data is derived from models with their own inherent uncertainty and levels of accuracy that should be considered when using this output. Outputs of this analysis should be considered alongside regional and/or local scale information, particularly when incorporated in the decision-making process. Species distribution models were used to derive multiple input datasets used in this analysis (e.g. species density and regional endemism). These datasets represent different information and use different methodology to derive results. This analysis uses the published Collaborative Australian Protected Areas Database 2024, which does not include areas protected since 30 June 2024. There are caveats associated with the datasets used in this analysis. Please refer to individual datasets for further information.

Name: biodiversity/Criterion_2_Ecological_representativeness_v1

Description: The Criterion 2: Ecological representativeness v1.0 raster (250 m resolution) represents relative scores across terrestrial Australia categorised into percentile-based thresholds that highlight areas that have comparatively low representation and/or protection status. It was generated using a reproducible MCDA workflow implemented in Python and ArcGIS Pro. The workflow includes: Criterion 2: Applied Comprehensive, Adequate and Representative (CAR) principles to assess ecosystem representation and protection across IBRA regions using National Vegetation Information System (NVIS) MVGs and the Collaborative Australia Protected Areas Database. The final raster reflects areas where this criterion is met with scores out of 1000 and protected areas masked (assigned value of 4000). Higher scores (between 0 to 1000) equate to areas that have low ecological representativeness and/or protection in current protected areas. Identifying biodiversity value and potential to enhance the representativeness of Australia’s Protected Areas using Multi-Criteria Decision Analysis Version 1.0. that describes the data and methods is available at: https://erin.maps.arcgis.com/home/item.html?id=6510ec40d81c43cda8d44e86b81adce2Criterion 2 Inputs: Interim Biogeographic Regionalisation for Australia - Regions Interim Biogeographic Regionalisation for Australia - Subregions National Vegetation Information System Pre -1750 MVG (100m) National Vegetation Information System Extant MVG (100m) Collaborative Australian Protected Areas Database - Terrestrial Caveats The analysis only uses national data, which may have variable quality and availability across the country. Some of this data is derived from models with their own inherent uncertainty and levels of accuracy that should be considered when using this output. Outputs of this analysis should be considered alongside regional and/or local scale information, particularly when incorporated in the decision-making process. Species distribution models were used to derive multiple input datasets used in this analysis (e.g. species density and regional endemism). These datasets represent different information and use different methodology to derive results. This analysis uses the published Collaborative Australian Protected Areas Database 2024, which does not include areas protected since 30 June 2024. There are caveats associated with the datasets used in this analysis. Please refer to individual datasets for further information.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 250.0

Pixel Size Y: 250.0

Band Count: 1

Pixel Type: U16

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: Criterion 2: Ecological representativeness v1.0: Australia are copyright (c) Commonwealth of Australia, Australian Government Department of Climate Change, Energy, Environment and Water, 2025.

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 0

Max Values: 4000

Mean Values: 1186.2737902191743

Standard Deviation Values: 1524.8875239778984

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

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: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

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: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

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

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