20250507 15515100 1.0 FALSE EE_Input_Fox_Map3_Clip 002 https://www.arcgis.com/sharing/rest/content/items/ab99dc0b29a84a11a92b7a017ac68a74/info/thumbnail/thumbnail1784872457497.png Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20260528 10123600 20260528 10123600 Esri ArcGIS 13.3.0.52636 EE_Input_Fox_Map3_Clip This layer shows the expert-derived probable distribution of European red fox across Australia.The map represents expert ecological knowledge identifying areas where the threat is considered likely to occur. The map is classified according to the number of experts who identified European red fox as occurring within an area during the expert elicitation process. Higher classification values indicate that more experts identified the threat as being present in that location, while lower values indicate that fewer experts identified presence at a location. Values represent the count of expert assessments and should not be interpreted as a proportion of all experts consulted, as the number of participating experts varied between threats.  Expert review was undertaken as part of a structured elicitation process involving specialists from academia, government and non-government organisations. Unlike statistical threshold maps, which apply a mathematical threshold to habitat suitability predictions, expert threshold maps incorporate expert judgement regarding species ecology, known distributions, dispersal limitations, data gaps and other factors that may not be fully represented by the model.  The layer represents the best available estimate of the current distribution and extent of the threat based on information available at the time of development. It should not be interpreted as a map of confirmed presence or absence.This dataset has been developed as part of the Threats Spatial Planner Tool (TSPT).  For detailed information on modelling methods and the expert elicitation process, please refer to the Methods page within the Threats Spatial Planner Tool.  For information on assumptions, limitations and appropriate use of the data, please refer to the Caveats page within the Threats Spatial Planner Tool.  This layer supports national-scale threat assessment, spatial planning, management prioritisation and decision-making by providing an expert-informed representation of the current distribution of European red fox.  Geographic Extent: AustraliaData Currency: Current distribution based on occurrence records, habitat suitability modelling and expert review available at the time of development (2026).Limitations: The layer represents an expert-informed estimate of distribution and should not be interpreted as confirmed presence or absence. Expert assessments are based on the best available information at the time of development and may change as new data become available. Knowledge gaps, incomplete occurrence records and uncertainty regarding species distributions may influence the mapped extent. The distribution shown may not fully capture recent range expansions, contractions or local management outcomes. The layer is intended for regional and national-scale planning and should be complemented by local knowledge where available.  This map shows the expert-derived probable distribution of European red fox across Australia. The layer is based on interpretation and review of habitat suitability model outputs, occurrence records and expert knowledge of the threat's ecology and distribution. It represents the areas considered by experts to be most likely occupied by the threat under current conditions. Map classes indicate the count of experts that identified a threat as being present in a location. Creative Commons Attribution 4.0 International (CC BY 4.0).Users must acknowledge the Department of Climate Change, Energy, the Environment and Water (DCCEEW) and all contributing data providers when using this dataset.  EcologyEnvironment Information AustraliaThreats Spatial Planner ToolFAUNA exoticHAZARDS pestsThreatsInvasive Species; Biosecurity; Environmental ModellingEuropean red fox File Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 Simple FALSE 0 TRUE FALSE EE_Input_Fox_Map3_Clip Feature Class 0 OBJECTID OID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Sum_Fox_Map3 Sum_Fox_Map3 Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20260528 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