Projected Distribution of Six Invasive Species Under Four Future Climate Scenarios (2050)
This dataset contains projected distributions for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—under four climate change scenarios, provided as ASCII (ASC) raster grids. Species distribution models were fitted using MaxEnt (Maximum Entropy) with occurrence data from EDDMapS and FIA and seven bioclimatic variables. Future projections represent two CMIP6 scenarios (SSP2-4.5 and SSP5-8.5) paired with two General Circulation Models (ACCESS-CM2 and HadGEM3-GC31), centered on 2050. Each ASC file contains a continuous suitability value (0–1) per grid cell at ~0.0083° (~1-km) resolution, with NoData coded as –9999. These projections indicate potential habitat suitability for each species under alternative climate futures and are designed for use in regional risk assessments and management planning.
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Shengwu Duan", "@type": "vcard:Contact", "hasEmail": "mailto:casc-data@usgs.gov" } |
| description | This dataset contains projected distributions for six non-native invasive tree and shrub species—autumn olive, bush honeysuckles, Callery pear, princess tree, privet, and tree-of-heaven—under four climate change scenarios, provided as ASCII (ASC) raster grids. Species distribution models were fitted using MaxEnt (Maximum Entropy) with occurrence data from EDDMapS and FIA and seven bioclimatic variables. Future projections represent two CMIP6 scenarios (SSP2-4.5 and SSP5-8.5) paired with two General Circulation Models (ACCESS-CM2 and HadGEM3-GC31), centered on 2050. Each ASC file contains a continuous suitability value (0–1) per grid cell at ~0.0083° (~1-km) resolution, with NoData coded as –9999. These projections indicate potential habitat suitability for each species under alternative climate futures and are designed for use in regional risk assessments and management planning. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P1TQESVN", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6894abcad4be0274c8e003f1.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6894abcad4be0274c8e003f1 |
| keyword |
[ "Alabama", "Arkansas", "Georgia", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Mississippi", "Missouri", "Nebraska", "North Carolina", "Ohio", "Oklahoma", "Pennsylvania", "South Carolina", "Tennessee", "Texas", "USGS:6894abcad4be0274c8e003f1", "Virginia", "West Virginia", "biota", "climate change", "forest resources", "geospatial datasets", "invasive species", "simulation result", "species distribution modeling" ] |
| modified | 2026-02-04T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -98.0000, 32.0000, -80.0000, 41.0000 |
| theme |
[ "geospatial" ] |
| title | Projected Distribution of Six Invasive Species Under Four Future Climate Scenarios (2050) |
