Item talk:Q330654
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{
"DOI": { "doi": "10.5066/p9vnzh7i", "prefix": "10.5066", "suffix": "p9vnzh7i", "identifiers": [], "alternateIdentifiers": [], "creators": [ { "name": "Haider, Saira M", "nameType": "Personal", "givenName": "Saira M", "familyName": "Haider", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0001-9306-3454", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Romanach, Stephanie S", "nameType": "Personal", "givenName": "Stephanie S", "familyName": "Romanach", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0003-0271-7825", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Benscoter, Allison M", "nameType": "Personal", "givenName": "Allison M", "familyName": "Benscoter", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0003-4205-3808", "nameIdentifierScheme": "ORCID" } ] }, { "name": "D'Acunto, Laura", "nameType": "Personal", "givenName": "Laura", "familyName": "D'Acunto", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0001-6227-0143", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Pearlstine, Leonard", "nameType": "Personal", "givenName": "Leonard", "familyName": "Pearlstine", "affiliation": [], "nameIdentifiers": [] } ], "titles": [ { "title": "EverSparrow model scripts and outputs" } ], "publisher": "U.S. Geological Survey", "container": {}, "publicationYear": 2021, "subjects": [ { "subject": "Ecology" }, { "subject": "FOS: Biological sciences", "schemeUri": "http://www.oecd.org/science/inno/38235147.pdf", "subjectScheme": "Fields of Science and Technology (FOS)" } ], "contributors": [], "dates": [ { "date": "2021", "dateType": "Issued" } ], "language": null, "types": { "ris": "DATA", "bibtex": "misc", "citeproc": "dataset", "schemaOrg": "Dataset", "resourceType": "Dataset", "resourceTypeGeneral": "Dataset" }, "relatedIdentifiers": [ { "relationType": "IsCitedBy", "relatedIdentifier": "10.1016/j.ecolmodel.2021.109774", "relatedIdentifierType": "DOI" } ], "relatedItems": [], "sizes": [], "formats": [], "version": null, "rightsList": [], "descriptions": [ { "description": "EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of CSSS, EverSparrow provides weekly probabilities of CSSS presence on a 400 x 400 m grid. Here we provide the modeling scripts used to develop EverSparrow (including the frequentist model developed and included in the ensemble model), the validation scripts, a script to run the EverSparrow model and create predicted surfaces of CSSS probability of presence, and a netcdf showing predicted probability of presence from 1995 through 2020. For full details of the model development process, see Larger Work citation.", "descriptionType": "Abstract" } ], "geoLocations": [], "fundingReferences": [], "xml": 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}