Species Distribution Models and Model Performance Evaluations of Twenty-four Fishes Native to Pacific Northwest US
This data release provides spatial data for species distribution models developed for 24 stream fishes native to the Pacific Northwest, USA and associated model evaluation metrics used to determine the best supported model. These models support a larger analysis for understanding native stream fish vulnerability in the region, specifically population viability analyses built to determine species extinction risk. The models were developed using the Maximum Entropy (MaxEnt) machine learning approach. This approach is best suited for the presence only occurrence data available for our analyses. The point occurrences representing presences in the models were previously collated for the Pacific Northwest Rarity and Climate Sensitivity Index (Moore et al., 2025). The environmental predictors used to develop the models were chosen based on a combination of biological relevance to the included species and being uncorrelated with other selected predictors. Models were predicted across two possible extents for each species, the extent of the species' IUCN range polygon if available or the extent of a convex hull of occurrence records used to build the model.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Kristin L. Jaeger",
"@type": "vcard:Contact",
"hasEmail": "mailto:kjaeger@usgs.gov"
}
|
| description | This data release provides spatial data for species distribution models developed for 24 stream fishes native to the Pacific Northwest, USA and associated model evaluation metrics used to determine the best supported model. These models support a larger analysis for understanding native stream fish vulnerability in the region, specifically population viability analyses built to determine species extinction risk. The models were developed using the Maximum Entropy (MaxEnt) machine learning approach. This approach is best suited for the presence only occurrence data available for our analyses. The point occurrences representing presences in the models were previously collated for the Pacific Northwest Rarity and Climate Sensitivity Index (Moore et al., 2025). The environmental predictors used to develop the models were chosen based on a combination of biological relevance to the included species and being uncorrelated with other selected predictors. Models were predicted across two possible extents for each species, the extent of the species' IUCN range polygon if available or the extent of a convex hull of occurrence records used to build the model. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P13QTXJG",
"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.679d2f36d34eb38981c9c6d0.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_679d2f36d34eb38981c9c6d0 |
| keyword |
[
"Idaho",
"North America",
"Oregon",
"USGS:679d2f36d34eb38981c9c6d0",
"United States",
"Washington",
"biogeography",
"biota",
"climatologyMeteorologyAtmosphere",
"environment",
"fish",
"geospatial analysis",
"geospatial datasets",
"inlandWaters",
"modeling",
"multispecies study",
"river systems",
"species distribution model",
"vertebrates"
]
|
| modified | 2025-04-28T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -124.7330, 41.1278, -110.8200, 48.9946 |
| theme |
[
"geospatial"
]
|
| title | Species Distribution Models and Model Performance Evaluations of Twenty-four Fishes Native to Pacific Northwest US |
