A mark and removal field procedure for estimating population abundance [Wildlife management]
A census design is presented that yields data for estimating animal abundance in closed populations using mark-recapture and constant removal techniques. Tests of goodness-of-fit for the multinomial removal model and homogeneity of capture probabilities for marked and unmarked animals are presented....
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Veröffentlicht in: | J. Wildl. Manage.; (United States) 1982-07, Vol.46 (3), p.741-751 |
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container_title | J. Wildl. Manage.; (United States) |
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creator | Skalski, J. R. Robson, D. S. |
description | A census design is presented that yields data for estimating animal abundance in closed populations using mark-recapture and constant removal techniques. Tests of goodness-of-fit for the multinomial removal model and homogeneity of capture probabilities for marked and unmarked animals are presented. When assumptions are valid, a 3rd abundance estimator, the mark-removal method, may be used, which generally possesses smaller sampling variance. Computer simulations estimate the relative efficiency of the alternative estimators when valid. Capture data are used to illustrate that agreement among diverse abundance estimators is not necessarily presumptive evidence of model validity. |
doi_str_mv | 10.2307/3808567 |
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R. ; Robson, D. S.</creator><creatorcontrib>Skalski, J. R. ; Robson, D. S. ; Universidad de Chile, Santiago. Facultad de Ciencias Agrarias, Veterinarias y Forestales. Escuela de Ciencias Forestales</creatorcontrib><description>A census design is presented that yields data for estimating animal abundance in closed populations using mark-recapture and constant removal techniques. Tests of goodness-of-fit for the multinomial removal model and homogeneity of capture probabilities for marked and unmarked animals are presented. When assumptions are valid, a 3rd abundance estimator, the mark-removal method, may be used, which generally possesses smaller sampling variance. Computer simulations estimate the relative efficiency of the alternative estimators when valid. Capture data are used to illustrate that agreement among diverse abundance estimators is not necessarily presumptive evidence of model validity.</description><identifier>ISSN: 0022-541X</identifier><identifier>EISSN: 1937-2817</identifier><identifier>DOI: 10.2307/3808567</identifier><language>eng</language><publisher>United States: The Wildlife Society</publisher><subject>Animal traps ; ANIMALS ; COMPUTERIZED SIMULATION ; ENVIRONMENTAL SCIENCES ; Estimation methods ; Estimators ; Mark release recapture ; MATHEMATICAL MODELS ; MATHEMATICS ; Maximum likelihood estimation ; MEASURING METHODS ; POPULATION DENSITY ; Population estimates ; Probabilities ; SIMULATION 510100 -- Environment, Terrestrial-- Basic Studies-- (-1989) ; Statistical variance ; STATISTICS ; Wildlife population estimation</subject><ispartof>J. Wildl. Manage.; (United States), 1982-07, Vol.46 (3), p.741-751</ispartof><rights>Copyright 1982 The Wildlife Society, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c265t-5bdabc59a3b5b5211fb3af0da398c8ee8bf65a5ce971033aa3238d54167d34153</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3808567$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3808567$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,881,27903,27904,57996,58229</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/6725553$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Skalski, J. R.</creatorcontrib><creatorcontrib>Robson, D. S.</creatorcontrib><creatorcontrib>Universidad de Chile, Santiago. Facultad de Ciencias Agrarias, Veterinarias y Forestales. Escuela de Ciencias Forestales</creatorcontrib><title>A mark and removal field procedure for estimating population abundance [Wildlife management]</title><title>J. Wildl. Manage.; (United States)</title><description>A census design is presented that yields data for estimating animal abundance in closed populations using mark-recapture and constant removal techniques. Tests of goodness-of-fit for the multinomial removal model and homogeneity of capture probabilities for marked and unmarked animals are presented. When assumptions are valid, a 3rd abundance estimator, the mark-removal method, may be used, which generally possesses smaller sampling variance. Computer simulations estimate the relative efficiency of the alternative estimators when valid. Capture data are used to illustrate that agreement among diverse abundance estimators is not necessarily presumptive evidence of model validity.</description><subject>Animal traps</subject><subject>ANIMALS</subject><subject>COMPUTERIZED SIMULATION</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Estimation methods</subject><subject>Estimators</subject><subject>Mark release recapture</subject><subject>MATHEMATICAL MODELS</subject><subject>MATHEMATICS</subject><subject>Maximum likelihood estimation</subject><subject>MEASURING METHODS</subject><subject>POPULATION DENSITY</subject><subject>Population estimates</subject><subject>Probabilities</subject><subject>SIMULATION 510100 -- Environment, Terrestrial-- Basic Studies-- (-1989)</subject><subject>Statistical variance</subject><subject>STATISTICS</subject><subject>Wildlife population estimation</subject><issn>0022-541X</issn><issn>1937-2817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1982</creationdate><recordtype>article</recordtype><recordid>eNp90EFrFTEQB_AgFnxW8RtIELGntUnmZTd7LEWtUPDQFgWVMJtMnlt3k2eyK_jtjWzPnmYOP_7Mfxh7IcVbBaI7ByOMbrtHbCd76BplZPeY7YRQqtF7-eUJe1rKvRAgpWl37NsFnzH_5Bg9zzSn3zjxMNLk-TEnR37NxEPKnMoyzriM8cCP6bhOdU2R47BGj9ER__p5nPw0BqpxEQ80U1y-P2MnAadCzx_mKbt7_-728qq5_vTh4-XFdeNUq5dGDx4Hp3uEQQ9aSRkGwCA8Qm-cITJDaDVqR30nBQAiKDC-lmk7D3up4ZS92nJTvdIWNy7kfrgUI7nFtp3SWkNFbzZUi_1aax87j8XRNGGktBYrtRat2asKzzbociolU7DHXLvnP1YK--_F9uHFVb7e5H1ZUv4Pe7mxgMniIY_F3t3I3oDo99C1Ev4C1LmCcA</recordid><startdate>19820701</startdate><enddate>19820701</enddate><creator>Skalski, J. R.</creator><creator>Robson, D. S.</creator><general>The Wildlife Society</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>OTOTI</scope></search><sort><creationdate>19820701</creationdate><title>A mark and removal field procedure for estimating population abundance [Wildlife management]</title><author>Skalski, J. R. ; Robson, D. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-5bdabc59a3b5b5211fb3af0da398c8ee8bf65a5ce971033aa3238d54167d34153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1982</creationdate><topic>Animal traps</topic><topic>ANIMALS</topic><topic>COMPUTERIZED SIMULATION</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Estimation methods</topic><topic>Estimators</topic><topic>Mark release recapture</topic><topic>MATHEMATICAL MODELS</topic><topic>MATHEMATICS</topic><topic>Maximum likelihood estimation</topic><topic>MEASURING METHODS</topic><topic>POPULATION DENSITY</topic><topic>Population estimates</topic><topic>Probabilities</topic><topic>SIMULATION 510100 -- Environment, Terrestrial-- Basic Studies-- (-1989)</topic><topic>Statistical variance</topic><topic>STATISTICS</topic><topic>Wildlife population estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skalski, J. R.</creatorcontrib><creatorcontrib>Robson, D. S.</creatorcontrib><creatorcontrib>Universidad de Chile, Santiago. Facultad de Ciencias Agrarias, Veterinarias y Forestales. Escuela de Ciencias Forestales</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>OSTI.GOV</collection><jtitle>J. Wildl. Manage.; (United States)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skalski, J. R.</au><au>Robson, D. S.</au><aucorp>Universidad de Chile, Santiago. Facultad de Ciencias Agrarias, Veterinarias y Forestales. Escuela de Ciencias Forestales</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A mark and removal field procedure for estimating population abundance [Wildlife management]</atitle><jtitle>J. Wildl. Manage.; (United States)</jtitle><date>1982-07-01</date><risdate>1982</risdate><volume>46</volume><issue>3</issue><spage>741</spage><epage>751</epage><pages>741-751</pages><issn>0022-541X</issn><eissn>1937-2817</eissn><abstract>A census design is presented that yields data for estimating animal abundance in closed populations using mark-recapture and constant removal techniques. Tests of goodness-of-fit for the multinomial removal model and homogeneity of capture probabilities for marked and unmarked animals are presented. When assumptions are valid, a 3rd abundance estimator, the mark-removal method, may be used, which generally possesses smaller sampling variance. Computer simulations estimate the relative efficiency of the alternative estimators when valid. Capture data are used to illustrate that agreement among diverse abundance estimators is not necessarily presumptive evidence of model validity.</abstract><cop>United States</cop><pub>The Wildlife Society</pub><doi>10.2307/3808567</doi><tpages>11</tpages></addata></record> |
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issn | 0022-541X 1937-2817 |
language | eng |
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source | Jstor Complete Legacy |
subjects | Animal traps ANIMALS COMPUTERIZED SIMULATION ENVIRONMENTAL SCIENCES Estimation methods Estimators Mark release recapture MATHEMATICAL MODELS MATHEMATICS Maximum likelihood estimation MEASURING METHODS POPULATION DENSITY Population estimates Probabilities SIMULATION 510100 -- Environment, Terrestrial-- Basic Studies-- (-1989) Statistical variance STATISTICS Wildlife population estimation |
title | A mark and removal field procedure for estimating population abundance [Wildlife management] |
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