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Relationship between effective and demographic population size in continuously distributed populations

dc.contributor.authorPierson, Jennifer Cen_AU
dc.contributor.authorGraves, Tabitha Aen_AU
dc.contributor.authorBanks, Samuelen_AU
dc.contributor.authorKendall, Katherine Cen_AU
dc.contributor.authorLindenmayer, David Ben_AU
dc.date.accessioned2018-08-07T23:47:31Z
dc.date.available2018-08-07T23:47:31Z
dc.date.issued2018-08
dc.description.abstractGenetic monitoring of wild populations can offer insights into demographic and genetic information simultaneously. However, widespread application of genetic monitoring is hindered by large uncertainty in the estimation and interpretation of target metrics such as contemporary effective population size, N e. We used four long‐term genetic and demographic studies (≥9 years) to evaluate the temporal stability of the relationship between N e and demographic population size (N c). These case studies focused on mammals that are continuously distributed, yet dispersal‐limited within the spatial scale of the study. We estimated local, contemporary N e with single‐sample methods (LDNE, Heterozygosity Excess, and Molecular Ancestry) and demographic abundance with either mark–recapture estimates or catch‐per‐unit effort indices. Estimates of N e varied widely within each case study suggesting interpretation of estimates is challenging. We found inconsistent correlations and trends both among estimates of N e and between N e and N c suggesting the value of N e as an indicator of N c is limited in some cases. In the two case studies with consistent trends between N e and N c, FIS was more stable over time and lower, suggesting FIS may be a good indicator that the population was sampled at a spatial scale at which genetic structure is not biasing estimates of N e. These results suggest that more empirical work on the estimation of N e in continuous populations is needed to understand the appropriate context to use LDNe as a useful metric in a monitoring programme to detect temporal trends in either N e or N c.en_AU
dc.description.sponsorshipAmy Macleod, and Jeff Stetz. JCP and DBL were supported by an ARC Laureate project to complete this work, SCB was supported by ARC grant FT130100043 and TG was supported by USGS.en_AU
dc.format14 pagesen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1752-4571en_AU
dc.identifier.urihttp://hdl.handle.net/1885/146118
dc.language.isoen_AUen_AU
dc.publisherWileyen_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT130100043en_AU
dc.rights© 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_AU
dc.sourceEvolutionary applicationsen_AU
dc.subjectLDNeen_AU
dc.subjecteffective population sizeen_AU
dc.subjectgenetic indicatoren_AU
dc.subjectgenetic monitoringen_AU
dc.subjectpopulation trendsen_AU
dc.titleRelationship between effective and demographic population size in continuously distributed populationsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2018-03-24
local.bibliographicCitation.issue7en_AU
local.bibliographicCitation.lastpage1175en_AU
local.bibliographicCitation.startpage1162en_AU
local.contributor.affiliationPierson, Jennifer C., FSES General, CoS Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.authoruidu5489380en_AU
local.identifier.ariespublicationa383154xPUB10457
local.identifier.citationvolume11en_AU
local.identifier.doi10.1111/eva.12636en_AU
local.publisher.urlhttps://authorservices.wiley.com/open-science/open-access/index.htmlen_AU
local.type.statusPublished Versionen_AU

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