{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(5)"],"submitter":["Reese GC"],"funding":["U.S. Geological Survey"],"pubmed_abstract":["To identify areas on the landscape that may contribute to a robust network of conservation areas, we modeled the probabilities of occurrence of several <i>en route</i> migratory shorebirds and wintering waterfowl in the southern Great Plains of North America, including responses to changing climate. We predominantly used data from the eBird citizen-science project to model probabilities of occurrence relative to land-use patterns, spatial distribution of wetlands, and climate. We projected models to potential future climate conditions using five representative general circulation models of the Coupled Model Intercomparison Project 5 (CMIP5). We used Random Forests to model probabilities of occurrence and compared the time periods 1981-2010 (hindcast) and 2041-2070 (forecast) in \"model spac"],"journal":["Ecology and evolution"],"pagination":["1497-1513"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5330909"],"repository":["biostudies-literature"],"pubmed_title":["Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change."],"pmcid":["PMC5330909"],"pubmed_authors":["Reese GC","Skagen SK"],"additional_accession":[]},"is_claimable":false,"name":"Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change.","description":"To identify areas on the landscape that may contribute to a robust network of conservation areas, we modeled the probabilities of occurrence of several <i>en route</i> migratory shorebirds and wintering waterfowl in the southern Great Plains of North America, including responses to changing climate. We predominantly used data from the eBird citizen-science project to model probabilities of occurrence relative to land-use patterns, spatial distribution of wetlands, and climate. We projected models to potential future climate conditions using five representative general circulation models of the Coupled Model Intercomparison Project 5 (CMIP5). We used Random Forests to model probabilities of occurrence and compared the time periods 1981-2010 (hindcast) and 2041-2070 (forecast) in \"model spac","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Mar","modification":"2026-05-29T20:52:50.723Z","creation":"2019-03-27T02:37:35Z"},"accession":"S-EPMC5330909","cross_references":{"pubmed":["28261460"],"doi":["10.1002/ece3.2755"]}}