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Population size estimates based on the frequency of genetically assigned parent–offspring pairs within a subsample

dc.contributor.authorMüller, Björn
dc.contributor.authorMercker, Moritz
dc.contributor.authorBrün, Jörg
dc.date.accessioned2022-12-27T10:02:05Z
dc.date.available2022-12-27T10:02:05Z
dc.date.issued24.07.2020
dc.identifier.urihttps://hdl.handle.net/20.500.11811/10548
dc.description.abstractEstimating population density as precise as possible is a key premise for managing wild animal species. This can be a challenging task if the species in question is elusive or, due to high quantities, hard to count. We present a new, mathematically derived estimator for population size, where the estimation is based solely on the frequency of genetically assigned parent–offspring pairs within a subsample of an ungulate population. By use of molecular markers like microsatellites, the number of these parent–offspring pairs can be determined. The study's aim was to clarify whether a classical capture–mark–recapture (CMR) method can be adapted or extended by this genetic element to a genetic-based capture–mark–recapture (g-CMR). We numerically validate the presented estimator (and corresponding variance estimates) and provide the R-code for the computation of estimates of population size including confidence intervals. The presented method provides a new framework to precisely estimate population size based on the genetic analysis of a one-time subsample. This is especially of value where traditional CMR methods or other DNA-based (fecal or hair) capture–recapture methods fail or are too difficult to apply. The DNA source used is basically irrelevant, but in the present case the sampling of an annual hunting bag is to serve as data basis. In addition to the high quality of muscle tissue samples, hunting bags provide additional and essential information for wildlife management practices, such as age, weight, or sex. In cases where a g-CMR method is ecologically and hunting-wise appropriate, it enables a wide applicability, also through its species-independent use.en
dc.format.extent8
dc.language.isoeng
dc.rightsNamensnennung 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectdensity estimations in ungulates
dc.subjectgenetic-based capture–mark–recapture
dc.subjectmicrosatellites
dc.subjectSus scrofa
dc.subjectwildlife management
dc.subject.ddc570 Biowissenschaften, Biologie
dc.subject.ddc590 Tiere (Zoologie)
dc.titlePopulation size estimates based on the frequency of genetically assigned parent–offspring pairs within a subsample
dc.typeWissenschaftlicher Artikel
dc.publisher.nameJohn Wiley & Sons
dc.rights.accessRightsopenAccess
dcterms.bibliographicCitation.volume2020, vol. 10
dcterms.bibliographicCitation.issueiss. 13
dcterms.bibliographicCitation.pagestart6356
dcterms.bibliographicCitation.pageend6363
dc.relation.doihttps://doi.org/10.1002/ece3.6365
dcterms.bibliographicCitation.journaltitleEcology and evolution
ulbbn.pubtypeZweitveröffentlichung
dc.versionpublishedVersion
ulbbn.sponsorship.oaUnifundOA-Förderung Universität Bonn


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Namensnennung 4.0 International