Item talk:Q318496

{

 "DOI": {
   "doi": "10.5066/p9hcew6s",
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       "name": "James E Lyons",
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       "name": "Conor McGowan",
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       "name": "Clinton Moore",
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     {
       "name": "David R Smith",
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         "United States Geological Survey"
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     {
       "name": "Anna M Tucker",
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         "United States Geological Survey"
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     {
       "name": "B. L. Nuse",
       "nameType": "Personal",
       "affiliation": [
         "Bird Conservancy of the Rockies"
       ],
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     {
       "name": "P. L. Fackler",
       "nameType": "Personal",
       "affiliation": [
         "North Carolina State University"
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       "name": "J. A Sweka",
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         "U.S. Fish and Wildlife Service"
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   ],
   "titles": [
     {
       "title": " Optimal horseshoe crab harvest policies via approximate dynamic programming "
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2022,
   "subjects": [
     {
       "subject": "cru"
     },
     {
       "subject": "approximate dynamic programming"
     },
     {
       "subject": "adp"
     },
     {
       "subject": "horseshoe crab"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2022",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "COMP",
     "bibtex": "misc",
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   "descriptions": [
     {
       "description": "Approximate Dynamic Programming relies on forward simulation of the system, so two population projection models are used, one for crabs and one for red knots. The two models are linked: HSC abundance is a predictor variable in the REKN model. Other useful outputs are produced as well, such as predictions of future harvest.",
       "descriptionType": "Abstract"
     }
   ],
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   "fundingReferences": [],
   "url": "https://code.usgs.gov/cooperativeresearchunits/georgia/hsc-adp",
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   "created": "2022-11-03T15:35:40Z",
   "registered": "2022-11-03T15:35:41Z",
   "published": null,
   "updated": "2024-07-11T19:28:55Z"
 }

}