Item talk:Q311578

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Two-species occupancy modeling accounting for species misidentification and nondetection",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70197970",
       "url": "https://pubs.usgs.gov/publication/70197970"
     },
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       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70197970
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1111/2041-210X.12985",
       "url": "https://doi.org/10.1111/2041-210X.12985"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Methods in Ecology and Evolution",
     "volumeNumber": "9",
     "issueNumber": "6"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Methods in Ecology and Evolution"
     }
   ],
   "datePublished": "2018",
   "dateModified": "2018-07-02",
   "abstract": "In occupancy studies, species misidentification can lead to false\u2010positive detections, which can cause severe estimator biases. Currently, all models that account for false\u2010positive errors only consider omnibus sources of false detections and are limited to single\u2010species occupancy.However, false detections for a given species often occur because of the misidentification with another, closely related species. To exploit this explicit source of false\u2010positive detection error, we develop a two\u2010species occupancy model that accounts for misidentifications between two species of interest. As with other false\u2010positive models, identifiability is greatly improved by the availability of unambiguous detections at a subset of site x occasions. Here, we consider the case where some of the field observations can be confirmed using laboratory or other independent identification methods (\u201cconfirmatory data\u201d).We performed three simulation studies to (1) assess the model's performance under various realistic scenarios, (2) investigate the influence of the proportion of confirmatory data on estimator accuracy and (3) compare the performance of this two\u2010species model with that of the single\u2010species false\u2010positive model. The model shows good performance under all scenarios, even when only small proportions of detections are confirmed (e.g. 5%). It also clearly outperforms the single\u2010species model.We illustrate application of this model using a 4\u2010year dataset on two sympatric species of lungless salamanders: the US federally endangered Shenandoah salamander\u00a0Plethodon shenandoah, and its presumed competitor, the red\u2010backed salamander\u00a0Plethodon cinereus. Occupancy of red\u2010backed salamanders appeared very stable across the 4\u00a0years of study, whereas the Shenandoah salamander displayed substantial turnover in occupancy of forest habitats among years.Given the extent of species misidentification issues in occupancy studies, this modelling approach should help improve the reliability of estimates of species distribution, which is the goal of many studies and monitoring programmes. Further developments, to account for different forms of state uncertainty, can be readily undertaken under our general approach.",
   "description": "10 p.",
   "publisher": {
     "@type": "Organization",
     "name": "British Ecological Society"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Nichols, James D. jnichols@usgs.gov",
       "givenName": "James D.",
       "familyName": "Nichols",
       "email": "jnichols@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-7631-2890",
         "url": "https://orcid.org/0000-0002-7631-2890"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Patuxent Wildlife Research Center",
           "url": "https://www.usgs.gov/centers/pwrc"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Campbell Grant, Evan H. ehgrant@usgs.gov",
       "givenName": "Evan H.",
       "familyName": "Campbell Grant",
       "email": "ehgrant@usgs.gov",
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         "value": "0000-0003-4401-6496",
         "url": "https://orcid.org/0000-0003-4401-6496"
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "Patuxent Wildlife Research Center",
           "url": "https://www.usgs.gov/centers/pwrc"
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       ]
     },
     {
       "@type": "Person",
       "name": "Chambert, Thierry",
       "givenName": "Thierry",
       "familyName": "Chambert"
     },
     {
       "@type": "Person",
       "name": "Miller, David A. W.",
       "givenName": "David A. W.",
       "familyName": "Miller",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Mulder, Kevin P.",
       "givenName": "Kevin P.",
       "familyName": "Mulder",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Smithsonian Conservation Biology Institute, National Zoological Park"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Brand, Adrianne B. abrand@usgs.gov",
       "givenName": "Adrianne B.",
       "familyName": "Brand",
       "email": "abrand@usgs.gov",
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         "value": "0000-0003-2664-0041",
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "Patuxent Wildlife Research Center",
           "url": "https://www.usgs.gov/centers/pwrc"
         }
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   ],
   "funder": [
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       "@type": "Organization",
       "name": "Patuxent Wildlife Research Center",
       "url": "https://www.usgs.gov/centers/pwrc"
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 }

}