Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington
Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway (RCP) 8.5 from the Fifth Assessment Report of the Intergovernmenal Panel on Climate Change (IPCC). Bird and vegetation models were trained using data from Oregon, Washington, California, and Nevada. Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We have used climate models and multi-source bird data to predict current and future species distributions for terrestrial breeding bird species in Oregon and Washington. These Partners in Flight focal species represent 5 major habitat types including riparian, oak woodland, sagebrush, conifer, and grassland.
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Sam Veloz", "@type": "vcard:Contact", "hasEmail": "mailto:sveloze@pointblue.org" } |
| description | Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway (RCP) 8.5 from the Fifth Assessment Report of the Intergovernmenal Panel on Climate Change (IPCC). Bird and vegetation models were trained using data from Oregon, Washington, California, and Nevada. Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We have used climate models and multi-source bird data to predict current and future species distributions for terrestrial breeding bird species in Oregon and Washington. These Partners in Flight focal species represent 5 major habitat types including riparian, oak woodland, sagebrush, conifer, and grassland. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P1ZKRS6J", "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.14f64934-f76a-4d0d-93d2-bea56bb74b1f.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_14f64934-f76a-4d0d-93d2-bea56bb74b1f |
| keyword |
[ "Oregon", "USGS:14f64934-f76a-4d0d-93d2-bea56bb74b1f", "Washington", "biota", "environment", "external research support", "geospatial datasets", "modeling" ] |
| modified | 2026-08-24T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -124.7708, 41.8958, -116.3542, 49.0208 |
| theme |
[ "geospatial" ] |
| title | Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington |
