{
"DOI": {
"doi": "10.5066/p9vnzh7i",
"prefix": "10.5066",
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{
"name": "Haider, Saira M",
"nameType": "Personal",
"givenName": "Saira M",
"familyName": "Haider",
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"nameIdentifier": "https://orcid.org/0000-0001-9306-3454",
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},
{
"name": "Romanach, Stephanie S",
"nameType": "Personal",
"givenName": "Stephanie S",
"familyName": "Romanach",
"affiliation": [],
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"schemeUri": "https://orcid.org",
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{
"name": "Benscoter, Allison M",
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"givenName": "Allison M",
"familyName": "Benscoter",
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{
"schemeUri": "https://orcid.org",
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]
},
{
"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"
}
],
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},
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{
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"relatedIdentifier": "10.1016/j.ecolmodel.2021.109774",
"relatedIdentifierType": "DOI"
}
],
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"version": null,
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"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"
}
],
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