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Relationship between effective and demographic population size in continuously distributed populations

Pierson, Jennifer C; Graves, Tabitha A; Banks, Samuel; Kendall, Katherine C; Lindenmayer, David B

Description

Genetic 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...[Show more]

dc.contributor.authorPierson, Jennifer C
dc.contributor.authorGraves, Tabitha A
dc.contributor.authorBanks, Samuel
dc.contributor.authorKendall, Katherine C
dc.contributor.authorLindenmayer, David B
dc.date.accessioned2018-08-07T23:47:31Z
dc.date.available2018-08-07T23:47:31Z
dc.identifier.issn1752-4571
dc.identifier.urihttp://hdl.handle.net/1885/146118
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.
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.
dc.format14 pages
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherWiley
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.
dc.sourceEvolutionary applications
dc.subjectLDNe
dc.subjecteffective population size
dc.subjectgenetic indicator
dc.subjectgenetic monitoring
dc.subjectpopulation trends
dc.titleRelationship between effective and demographic population size in continuously distributed populations
dc.typeJournal article
local.identifier.citationvolume11
dcterms.dateAccepted2018-03-24
dc.date.issued2018-08
local.identifier.ariespublicationa383154xPUB10457
local.publisher.urlhttps://authorservices.wiley.com/open-science/open-access/index.html
local.type.statusPublished Version
local.contributor.affiliationPierson, Jennifer C., FSES General, CoS Fenner School of Environment and Society, The Australian National University
dc.relationhttp://purl.org/au-research/grants/arc/FT130100043
local.bibliographicCitation.issue7
local.bibliographicCitation.startpage1162
local.bibliographicCitation.lastpage1175
local.identifier.doi10.1111/eva.12636
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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