Item talk:Q318690

From geokb

{

 "DOI": {
   "doi": "10.5066/f7tt4q5s",
   "identifiers": [],
   "creators": [
     {
       "name": "Mark Ricca",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
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     {
       "name": "Peter S Coates",
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         "United States Geological Survey"
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     {
       "name": "K. Ben Gustafson",
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         "United States Geological Survey"
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     },
     {
       "name": "Brianne E Brussee",
       "nameType": "Personal",
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         "United States Geological Survey"
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     },
     {
       "name": "Jeanne C. Chambers",
       "nameType": "Personal",
       "affiliation": [],
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           "nameIdentifier": null,
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       ]
     },
     {
       "name": "Shawn P. Espinosa",
       "nameType": "Personal",
       "affiliation": [
         "Nevada Department of Wildlife"
       ],
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     {
       "name": "Scott C. Gardner",
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       "name": "Sherri Lisius",
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     },
     {
       "name": "Pilar Ziegler",
       "nameType": "Personal",
       "affiliation": [],
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           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
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       ]
     },
     {
       "name": "David J. Delehanty",
       "nameType": "Personal",
       "affiliation": [
         "Idaho State University, Department of Biological Sciences"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-0646-5143",
           "nameIdentifierScheme": "ORCID"
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       ]
     },
     {
       "name": "Michael L Casazza",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
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           "nameIdentifier": "https://orcid.org/0000-0002-5636-735X",
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   ],
   "titles": [
     {
       "title": "Data for: A conservation planning tool for greater sage-grouse using indices of species distribution, resilience, and resistance"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2018,
   "subjects": [
     {
       "subject": "environment"
     },
     {
       "subject": "biota"
     },
     {
       "subject": "resilience"
     },
     {
       "subject": "data for: a conservation planning tool for greater sage-grouse using indices of species distribution"
     },
     {
       "subject": "and resistance"
     },
     {
       "subject": "greater sage-grouse"
     },
     {
       "subject": "Conservation Planning Tool"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2003-01-01/2013-12-31",
       "dateType": "Created"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
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     "resourceTypeGeneral": "Dataset"
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       "relatedIdentifier": "https://doi.org/10.1002/eap.1690",
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   "rightsList": [
     {
       "rights": "Creative Commons Zero v1.0 Universal",
       "rightsUri": "https://creativecommons.org/publicdomain/zero/1.0/legalcode",
       "schemeUri": "https://spdx.org/licenses/",
       "rightsIdentifier": "cc0-1.0",
       "rightsIdentifierScheme": "SPDX"
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   ],
   "descriptions": [
     {
       "description": "Managers require quantitative yet tractable tools that can identify areas for restoration yielding effective benefits for targeted wildlife species and the ecosystems they inhabit. A spatially explicit conservation planning tool that guides effective sagebrush restoration for sage-grouse can be made more effective by integrating baseline maps describing existing (pre-restoration) habitat suitability, and the distribution and abundance of breeding sage-grouse. Accordingly, we provide two rasters. The first is a floating point raster file informed by lek data, and derived from: 1) utilization distributions weighted by lek attendance, and 2) a non-linear probability of space-use relative to distance to lek. The second is a floating point raster file of baseline sage-grouse habitat modeled as a resource selection function and then relativized to bracket values between 1.0 (highest modeled suitability) and 0.0 (lowest modeled suitability). Note that this map differs slightly from previous unpublished maps of Bi-State habitat suitability owing to differences in data inputs and modeling methods.",
       "descriptionType": "Abstract"
     }
   ],
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   "url": "https://www.sciencebase.gov/catalog/item/5a3ad89fe4b0d05ee8b5ce4e",
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   "created": "2018-02-15T16:39:51Z",
   "registered": "2018-02-15T16:39:53Z",
   "published": null,
   "updated": "2024-06-14T17:45:02Z"
 }

}