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dc.contributor.authorSæther, Bernt-Erik
dc.contributor.authorEngen, Steinar
dc.date.accessioned2020-08-27T13:33:44Z
dc.date.available2020-08-27T13:33:44Z
dc.date.created2019-10-04T11:20:01Z
dc.date.issued2019
dc.identifier.issn0962-8436
dc.identifier.urihttps://hdl.handle.net/11250/2675414
dc.description.abstractOne of the most important challenges in conservation biology is to predict the viability of populations of vulnerable and threatened species. This requires that the demographic stochasticity strongly affecting the ecological and evolutionary dynamics of especially small populations is correctly estimated and modelled. Here, we summarize theoretical evidence showing that the demographic variance in population dynamics is a key parameter determining the probability of extinction and also is directly linked to the magnitude of the genetic drift in the population. The demographic variance is dependent on the mating system, being larger in a polygynous than in monogamous populations. Understanding factors affecting intersexual differences in mating success is therefore essential in explaining variation in the demographic variance. We hypothesize that the strength of sexual selection, for example, quantified by the Bateman gradient, may be a useful predictor of the magnitude of the demographic stochasticity and hence the genetic drift in the population. We provide results from a field study of moose that support this claim. Thus, including central principles from behavioural ecology may increase the reliability of population viability analyses through an improvement of our understanding of factors affecting stochastic influences on population dynamics and evolutionary processes.en_US
dc.language.isoengen_US
dc.publisherThe Royal Societyen_US
dc.titleTowards a predictive conservation biology: the devil is in the behaviouren_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume374en_US
dc.source.journalPhilosophical Transactions of the Royal Society of London. Biological Sciencesen_US
dc.source.issue1781en_US
dc.identifier.doi10.1098/rstb.2019.0013
dc.identifier.cristin1733868
dc.relation.projectNorges forskningsråd: 244647en_US
dc.relation.projectNorges forskningsråd: 223257en_US
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by The Royal Society.en_US
cristin.unitcode194,66,10,0
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for biologi
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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