Item talk:Q259480

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Other Government Series",
   "name": "Long-term demographic analysis of the Cape Sable seaside sparrow (1992\u20132021)",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70249796",
       "url": "https://pubs.usgs.gov/publication/70249796"
     },
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       "value": 70249796
     }
   ],
   "inLanguage": "en",
   "datePublished": "2023",
   "dateModified": "2023-10-28",
   "abstract": "The Cape Sable seaside sparrow (Ammospiza maritima mirabilis) is an endangered species that has experienced a population decline of more than 60% since 1981. Despite its critical population status, a statistically robust analysis of the species\u2019 demographic rates utilizing all data has yet to be completed (Benscoter et al. 2021). Furthermore, long-term population processes in response to hydrologic and environmental conditions have not been evaluated for this species. To address these substantial gaps in knowledge, 30 years of demographic data were synthesized to assess population dynamics of this imperiled species using an integrated population model (IPM). Three demographic data types (range-wide counts, capture-mark-recapture, nest monitoring) were incorporated into a unified IPM to evaluate demographic processes and predict population trajectories. The following were calculated: (1) annual estimates of annual population size, survival, and fecundity; (2) coefficient estimates of hydrologic and environmental variables on survival and fecundity; (3) estimates of annual population growth and their correlation with demographic rates; and (4) a Bayesian population viability analysis (BPVA) that includes predicted population size, demographic rates, and extinction risks ten years into the future.",
   "description": "25 p.",
   "publisher": {
     "@type": "Organization",
     "name": "U.S. Fish and Wildlife Service"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Martinez, Marisa Takada",
       "givenName": "Marisa Takada",
       "familyName": "Martinez",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-1915-6019",
         "url": "https://orcid.org/0000-0002-1915-6019"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Wetland and Aquatic Research Center",
           "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "D'Acunto, Laura",
       "givenName": "Laura",
       "familyName": "D'Acunto",
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         "value": "0000-0001-6227-0143",
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "Wetland and Aquatic Research Center",
           "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Romanach, Stephanie",
       "givenName": "Stephanie",
       "familyName": "Romanach",
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         "value": "0000-0003-0271-7825",
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         {
           "@type": "Organization",
           "name": "Wetland and Aquatic Research Center",
           "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Wetland and Aquatic Research Center",
       "url": "https://www.usgs.gov/centers/wetland-and-aquatic-research-center"
     }
   ]
 }

}