Estimating population abundance using counts from an auxiliary population
We develop a new method for estimating population abundance for notoriously difficult to count populations. This is made possible using an easy to count auxiliary population with a known link to the target population under the framework of a layered hidden Markov model. We apply the new methods to e...
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Veröffentlicht in: | Environmental and ecological statistics 2020-09, Vol.27 (3), p.509-526 |
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description | We develop a new method for estimating population abundance for notoriously difficult to count populations. This is made possible using an easy to count auxiliary population with a known link to the target population under the framework of a layered hidden Markov model. We apply the new methods to estimate the breeding population of an Ancient Murrelet seabird colony, using Ancient Murrelet chicks as an auxiliary population. We compare our results to those of the established survey methodology from the Canadian Wildlife Service (CWS), which similarly shows a decrease in population over 1995 to 2006. Our methods improve upon the CWS survey methods by allowing density differences across sampling sites, and by allowing estimates to be made between CWS survey years. |
doi_str_mv | 10.1007/s10651-020-00455-3 |
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P.</creatorcontrib><creatorcontrib>Pattison, Vivian</creatorcontrib><creatorcontrib>Cowen, Laura L. E.</creatorcontrib><title>Estimating population abundance using counts from an auxiliary population</title><title>Environmental and ecological statistics</title><addtitle>Environ Ecol Stat</addtitle><description>We develop a new method for estimating population abundance for notoriously difficult to count populations. This is made possible using an easy to count auxiliary population with a known link to the target population under the framework of a layered hidden Markov model. We apply the new methods to estimate the breeding population of an Ancient Murrelet seabird colony, using Ancient Murrelet chicks as an auxiliary population. We compare our results to those of the established survey methodology from the Canadian Wildlife Service (CWS), which similarly shows a decrease in population over 1995 to 2006. Our methods improve upon the CWS survey methods by allowing density differences across sampling sites, and by allowing estimates to be made between CWS survey years.</description><subject>Abundance</subject><subject>Aquatic birds</subject><subject>Biomedical and Life Sciences</subject><subject>Breeding</subject><subject>Case studies</subject><subject>Chemistry and Earth Sciences</subject><subject>Chicks</subject><subject>Colonies</subject><subject>Computer Science</subject><subject>Ecology</subject><subject>Estimates</subject><subject>Estimation</subject><subject>Health Sciences</subject><subject>Life Sciences</subject><subject>Markov chains</subject><subject>Math. Appl. in Environmental Science</subject><subject>Medicine</subject><subject>Methods</subject><subject>Physics</subject><subject>Polls & surveys</subject><subject>Population number</subject><subject>Population statistics</subject><subject>Seabirds</subject><subject>Software</subject><subject>Statistics for Engineering</subject><subject>Statistics for Life Sciences</subject><subject>Surveying</subject><subject>Theoretical Ecology/Statistics</subject><subject>Trends</subject><subject>Wildlife</subject><subject>Wildlife conservation</subject><issn>1352-8505</issn><issn>1573-3009</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEFLAzEQhYMoWKt_wNOC5-hMstnsHqVULRS86DkkabZsaTdrsgH7701dQU-e5sG894b5CLlFuEcA-RARKoEUGFCAUgjKz8gMheSUAzTnWXPBaC1AXJKrGHeQXcjEjKyWcewOeuz6bTH4Ie2z9H2hTeo3ureuSPG0sj71Yyza4A-Fzuv02e07HY5_MtfkotX76G5-5py8Py3fFi90_fq8WjyuqeXYjLR0UjcONeOtrWUNLWLDgNsajEFXlbKxTEJbVRpFa6VFLZ0xmjWiMhtnNnxO7qbeIfiP5OKodj6FPp9UrOQ1sroGmV1sctngYwyuVUPIf4ajQlAnZGpCpjIy9Y1M8RziUyhmc7914bf6n9QXpbBvpg</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Parker, Matthew R. 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Appl. in Environmental Science</topic><topic>Medicine</topic><topic>Methods</topic><topic>Physics</topic><topic>Polls & surveys</topic><topic>Population number</topic><topic>Population statistics</topic><topic>Seabirds</topic><topic>Software</topic><topic>Statistics for Engineering</topic><topic>Statistics for Life Sciences</topic><topic>Surveying</topic><topic>Theoretical Ecology/Statistics</topic><topic>Trends</topic><topic>Wildlife</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Parker, Matthew R. P.</creatorcontrib><creatorcontrib>Pattison, Vivian</creatorcontrib><creatorcontrib>Cowen, Laura L. 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subjects | Abundance Aquatic birds Biomedical and Life Sciences Breeding Case studies Chemistry and Earth Sciences Chicks Colonies Computer Science Ecology Estimates Estimation Health Sciences Life Sciences Markov chains Math. Appl. in Environmental Science Medicine Methods Physics Polls & surveys Population number Population statistics Seabirds Software Statistics for Engineering Statistics for Life Sciences Surveying Theoretical Ecology/Statistics Trends Wildlife Wildlife conservation |
title | Estimating population abundance using counts from an auxiliary population |
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