Item talk:Q318801

{

 "DOI": {
   "doi": "10.5066/p9wysbbn",
   "identifiers": [],
   "creators": [
     {
       "name": "Bradley J Udell",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
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           "nameIdentifier": "https://orcid.org/0000-0001-5225-4959",
           "nameIdentifierScheme": "ORCID"
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       ]
     },
     {
       "name": "Bethany R Straw",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0001-9086-4600",
           "nameIdentifierScheme": "ORCID"
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       ]
     },
     {
       "name": "Susan Loeb",
       "nameType": "Personal",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-9264-3614",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Kathryn M Irvine",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-6426-940X",
           "nameIdentifierScheme": "ORCID"
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       ]
     },
     {
       "name": "Wayne E Thogmartin",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
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           "nameIdentifier": "https://orcid.org/0000-0002-2384-4279",
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     },
     {
       "name": "Cori Lausen",
       "nameType": "Personal",
       "affiliation": [],
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           "nameIdentifier": "https://orcid.org/0000-0002-6012-1803",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Jonathan Reichard",
       "nameType": "Personal",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-4792-2868",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Jeremy T Coleman",
       "nameType": "Personal",
       "affiliation": [
         "U.S. Fish and Wildlife Service"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Paul Cryan",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-2915-8894",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Winifred Frick",
       "nameType": "Personal",
       "affiliation": [
         "Bat Conservation International"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Brian E Reichert",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-9640-0695",
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       ]
     }
   ],
   "titles": [
     {
       "title": "Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2024,
   "subjects": [
     {
       "subject": "ecology"
     },
     {
       "subject": "wildlife biology"
     }
   ],
   "contributors": [],
   "dates": [],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
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   "descriptions": [
     {
       "description": "These data contain the supplementary results corresponding with the journal article: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends by Udell et al. (2024) in Ecological Monographs. These results contain the findings from the North American Bat Monitoring Program's (NABat) \"Summer Abundance Status and Trends\" analyses which used mobile transect acoustic data for three species (tricolored bat, little brown bat, and big brown bat). Data from the entire summer season (May 1\u2013Aug 31) were used in the modeling process. Here, tabular data for each species include predictions (with uncertainty) of relative abundance (and trends over time) in the summer maternity season (May1 - July 16) from 2012-2020. Predictions for status and trends are provided for each species at four different spatial resolutions: 1) across the modeled species ranges, 2) at the state or province level, 3) at the NABat grid cell (10km x 10km scale) level, and 4) for each sampled transect. Predictions were produced using an analytical pipeline supported by web-based infrastructure, Bayesian hierarchical modeling, and 'false-positive N-mixture model' framework which analyzed mobile transect acoustics to model the relative abundance distribution (and trends over time) of each species while accounting for imperfect detection and species misclassification. Tabular files provided include: 1) range-wide average relative abundance predictions by year for each species, 2) range-wide trends in average relative abundance for each species, 3) regional (state/province) average relative abundance by year for each species, 4) regional (state/province) trends in average relative abundance for each species, 5) grid cell-level predictions of relative abundance by year for each species, 6) grid cell-level trends (overall change from 2012-2020) for each species (one file per species), and 7) transect-level estimates of relative abundance by year for each species. Estimates include means, medians, standard deviations, and the 95% Bayesian credible intervals. These data can be cross-referenced to the 'knitted' NABat master sample for CONUS, Canada, and Alaska (NABat_grid_covariates.shp, which is available on ScienceBase).",
       "descriptionType": "Abstract"
     }
   ],
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   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/6462830dd34ec179a83b5333",
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   "created": "2024-05-30T18:13:37Z",
   "registered": "2024-05-30T18:13:37Z",
   "published": null,
   "updated": "2024-05-30T18:14:09Z"
 }

}