Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling
Some deer species are of conservation concern; others are officially managed as a food source or for their trophies, whereas in many regions, deer are regarded as overabundant or even as a nuisance causing damages. Regardless of local management issues, in most cases, reliable data on deer populatio...
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creator | Ebert, Cornelia Sandrini, Julian Welter, Bettina Thiele, Bernhard Hohmann, Ulf |
description | Some deer species are of conservation concern; others are officially managed as a food source or for their trophies, whereas in many regions, deer are regarded as overabundant or even as a nuisance causing damages. Regardless of local management issues, in most cases, reliable data on deer population sizes and sex ratios are lacking. Non-invasive genetic approaches are promising tools for the estimation of population size and structure. We developed and tested a non-invasive genetic approach for red deer (
Cervus elaphus
) population size and density estimation based on faeces collected from three free-ranging red deer populations in south-western Germany. Altogether, we genotyped 2762 faecal samples, representing 1431 different individuals. We estimated population density for both sexes separately using two different approaches: spatially explicit capture-recapture (SECR) approach and a single-session urn model (CAPWIRE). The estimated densities of both approaches were similar for all three study areas, ranging between total densities of 3.3 (2.5–4.4) and 8.5 (6.4–11.3) red deer/km
2
. The estimated sex ratios differed significantly between the studied populations (ranging between 1:1.1 and 1:1.7), resulting in considerable consequences for management. In further research, the issues of population closure and approximation of the effectively sampled area for density estimation should be addressed. The presented approach can serve as a valuable tool for the management of deer populations, and to our knowledge, it represents the only sex-specific approach for estimation of red deer population size and density. |
doi_str_mv | 10.1007/s10344-021-01456-8 |
format | Article |
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Cervus elaphus
) population size and density estimation based on faeces collected from three free-ranging red deer populations in south-western Germany. Altogether, we genotyped 2762 faecal samples, representing 1431 different individuals. We estimated population density for both sexes separately using two different approaches: spatially explicit capture-recapture (SECR) approach and a single-session urn model (CAPWIRE). The estimated densities of both approaches were similar for all three study areas, ranging between total densities of 3.3 (2.5–4.4) and 8.5 (6.4–11.3) red deer/km
2
. The estimated sex ratios differed significantly between the studied populations (ranging between 1:1.1 and 1:1.7), resulting in considerable consequences for management. In further research, the issues of population closure and approximation of the effectively sampled area for density estimation should be addressed. The presented approach can serve as a valuable tool for the management of deer populations, and to our knowledge, it represents the only sex-specific approach for estimation of red deer population size and density.</description><identifier>ISSN: 1612-4642</identifier><identifier>EISSN: 1439-0574</identifier><identifier>DOI: 10.1007/s10344-021-01456-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animal behavior ; Animal populations ; Biomedical and Life Sciences ; Capture-recapture studies ; Cervus elaphus ; Deer ; Ecology ; Fish & Wildlife Biology & Management ; Food sources ; Life Sciences ; Original Article ; Population density ; Population number ; Population statistics ; Population studies ; Sex ; Wildlife conservation ; Zoology</subject><ispartof>European journal of wildlife research, 2021-04, Vol.67 (2), Article 27</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-2c5dcc93d83923f07eef64d529ee50c01167f88d2c331eccc858d7157910abac3</citedby><cites>FETCH-LOGICAL-c363t-2c5dcc93d83923f07eef64d529ee50c01167f88d2c331eccc858d7157910abac3</cites><orcidid>0000-0003-0515-882X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10344-021-01456-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10344-021-01456-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Ebert, Cornelia</creatorcontrib><creatorcontrib>Sandrini, Julian</creatorcontrib><creatorcontrib>Welter, Bettina</creatorcontrib><creatorcontrib>Thiele, Bernhard</creatorcontrib><creatorcontrib>Hohmann, Ulf</creatorcontrib><title>Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling</title><title>European journal of wildlife research</title><addtitle>Eur J Wildl Res</addtitle><description>Some deer species are of conservation concern; others are officially managed as a food source or for their trophies, whereas in many regions, deer are regarded as overabundant or even as a nuisance causing damages. Regardless of local management issues, in most cases, reliable data on deer population sizes and sex ratios are lacking. Non-invasive genetic approaches are promising tools for the estimation of population size and structure. We developed and tested a non-invasive genetic approach for red deer (
Cervus elaphus
) population size and density estimation based on faeces collected from three free-ranging red deer populations in south-western Germany. Altogether, we genotyped 2762 faecal samples, representing 1431 different individuals. We estimated population density for both sexes separately using two different approaches: spatially explicit capture-recapture (SECR) approach and a single-session urn model (CAPWIRE). The estimated densities of both approaches were similar for all three study areas, ranging between total densities of 3.3 (2.5–4.4) and 8.5 (6.4–11.3) red deer/km
2
. The estimated sex ratios differed significantly between the studied populations (ranging between 1:1.1 and 1:1.7), resulting in considerable consequences for management. In further research, the issues of population closure and approximation of the effectively sampled area for density estimation should be addressed. The presented approach can serve as a valuable tool for the management of deer populations, and to our knowledge, it represents the only sex-specific approach for estimation of red deer population size and density.</description><subject>Animal behavior</subject><subject>Animal populations</subject><subject>Biomedical and Life Sciences</subject><subject>Capture-recapture studies</subject><subject>Cervus elaphus</subject><subject>Deer</subject><subject>Ecology</subject><subject>Fish & Wildlife Biology & Management</subject><subject>Food sources</subject><subject>Life Sciences</subject><subject>Original Article</subject><subject>Population density</subject><subject>Population number</subject><subject>Population statistics</subject><subject>Population studies</subject><subject>Sex</subject><subject>Wildlife conservation</subject><subject>Zoology</subject><issn>1612-4642</issn><issn>1439-0574</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kE1LxDAURYMoOI7-AVcBN7qI5rNtljKMHzDgRlcuQiZ5HTt00pq0A_rrjVZw5yovcO59vIPQOaPXjNLyJjEqpCSUM0KZVAWpDtCMSaEJVaU8zHPBOJGF5MfoJKUtpVxToWbodZmGZmeHJmxwBI89QMSXC4j7MWFobf82pivcd_3YZqgLODWfgNc2ZTb_QhdIE_Y2NXvAGwgwNA4nu-vbXHiKjmrbJjj7fefo5W75vHggq6f7x8XtijhRiIFwp7xzWvhKaC5qWgLUhfSKawBFHWWsKOuq8twJwcA5V6nKl0yVmlG7tk7M0cXU28fufYQ0mG03xpBXGi615lwoVmaKT5SLXUoRatPHfHn8MIyab4lmkmiyRPMj0VQ5JKZQynDYQPyr_if1BfSqdR8</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Ebert, Cornelia</creator><creator>Sandrini, Julian</creator><creator>Welter, Bettina</creator><creator>Thiele, Bernhard</creator><creator>Hohmann, Ulf</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7SN</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-0515-882X</orcidid></search><sort><creationdate>20210401</creationdate><title>Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling</title><author>Ebert, Cornelia ; Sandrini, Julian ; Welter, Bettina ; Thiele, Bernhard ; Hohmann, Ulf</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-2c5dcc93d83923f07eef64d529ee50c01167f88d2c331eccc858d7157910abac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animal behavior</topic><topic>Animal populations</topic><topic>Biomedical and Life Sciences</topic><topic>Capture-recapture studies</topic><topic>Cervus elaphus</topic><topic>Deer</topic><topic>Ecology</topic><topic>Fish & Wildlife Biology & Management</topic><topic>Food sources</topic><topic>Life Sciences</topic><topic>Original Article</topic><topic>Population density</topic><topic>Population number</topic><topic>Population statistics</topic><topic>Population studies</topic><topic>Sex</topic><topic>Wildlife conservation</topic><topic>Zoology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ebert, Cornelia</creatorcontrib><creatorcontrib>Sandrini, Julian</creatorcontrib><creatorcontrib>Welter, Bettina</creatorcontrib><creatorcontrib>Thiele, Bernhard</creatorcontrib><creatorcontrib>Hohmann, Ulf</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>European journal of wildlife research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ebert, Cornelia</au><au>Sandrini, Julian</au><au>Welter, Bettina</au><au>Thiele, Bernhard</au><au>Hohmann, Ulf</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling</atitle><jtitle>European journal of wildlife research</jtitle><stitle>Eur J Wildl Res</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>67</volume><issue>2</issue><artnum>27</artnum><issn>1612-4642</issn><eissn>1439-0574</eissn><abstract>Some deer species are of conservation concern; others are officially managed as a food source or for their trophies, whereas in many regions, deer are regarded as overabundant or even as a nuisance causing damages. Regardless of local management issues, in most cases, reliable data on deer population sizes and sex ratios are lacking. Non-invasive genetic approaches are promising tools for the estimation of population size and structure. We developed and tested a non-invasive genetic approach for red deer (
Cervus elaphus
) population size and density estimation based on faeces collected from three free-ranging red deer populations in south-western Germany. Altogether, we genotyped 2762 faecal samples, representing 1431 different individuals. We estimated population density for both sexes separately using two different approaches: spatially explicit capture-recapture (SECR) approach and a single-session urn model (CAPWIRE). The estimated densities of both approaches were similar for all three study areas, ranging between total densities of 3.3 (2.5–4.4) and 8.5 (6.4–11.3) red deer/km
2
. The estimated sex ratios differed significantly between the studied populations (ranging between 1:1.1 and 1:1.7), resulting in considerable consequences for management. In further research, the issues of population closure and approximation of the effectively sampled area for density estimation should be addressed. The presented approach can serve as a valuable tool for the management of deer populations, and to our knowledge, it represents the only sex-specific approach for estimation of red deer population size and density.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10344-021-01456-8</doi><orcidid>https://orcid.org/0000-0003-0515-882X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal behavior Animal populations Biomedical and Life Sciences Capture-recapture studies Cervus elaphus Deer Ecology Fish & Wildlife Biology & Management Food sources Life Sciences Original Article Population density Population number Population statistics Population studies Sex Wildlife conservation Zoology |
title | Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling |
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