2008
DOI: 10.1111/j.1365-294x.2008.03842.x
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Genetic estimates of contemporary effective population size: what can they tell us about the importance of genetic stochasticity for wild population persistence?

Abstract: Genetic stochasticity due to small population size contributes to population extinction, especially when population fragmentation disrupts gene flow. Estimates of effective population size (N e ) can therefore be informative about population persistence, but there is a need for an assessment of their consistency and informative relevance. Here we review the body of empirical estimates of N e for wild populations obtained with the temporal genetic method and published since Frankham's (1995) review. Theoretical… Show more

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Cited by 509 publications
(692 citation statements)
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“…The question is what is the magnitude of recent population declines? Assuming the average ratio of N e to census population sizes ( N c ) of 0.1 reported in empirical wildlife studies (Frankham 1995; Palstra and Ruzzante 2008), our results suggest the potential existence of 12,000,000 BCVIs, 1000 times more than currently estimated (Wilkins et al. 2006).…”
Section: Discussionsupporting
confidence: 53%
“…The question is what is the magnitude of recent population declines? Assuming the average ratio of N e to census population sizes ( N c ) of 0.1 reported in empirical wildlife studies (Frankham 1995; Palstra and Ruzzante 2008), our results suggest the potential existence of 12,000,000 BCVIs, 1000 times more than currently estimated (Wilkins et al. 2006).…”
Section: Discussionsupporting
confidence: 53%
“…The utility of our N e estimates for evaluating the short-term genetic status of the Kirtland’s warblers depends on the accuracy and precision of our contemporary N e estimates Simulations suggest that it is difficult to obtain a precise estimate of N e when the true N e is >400 because at those sizes of N e , sampling error is large compared to the strength of the drift induced shifts in heterozygosity and linkage disequilibrium [21,29]. Our direct estimate of a maximal N e of 700 is approaching the parameter space where N e is difficult to estimate [30]. Therefore, the large confidence limits around our N e estimates, limit our ability to definitively state whether the current size of Kirtland’s warbler populations can meet conservation genetic objectives such as maintaining 90% of the initial diversity for a minimum of 100 years [31], but the lower range of our N e estimates are too low for genetic variability to be retained in the long-term.…”
Section: Discussionmentioning
confidence: 99%
“…Based on our indirect estimates of contemporary N e in the 100–300 range, Kirtland’s warbler populations may not be large enough to safeguard against the loss of evolutionary potential [30,32,33]. Population bottlenecks can downwardly bias N e estimates [34,35], but our contemporary sample is more than 20 generations away from the lowest recorded population size, so we assume that this bias is not a major influence on our estimates [35].…”
Section: Discussionmentioning
confidence: 99%
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“…However, an influential contribution of evolutionary theory to conservation biology has been the development of a framework for predicting the fate of small populations (Palstra and Ruzzante, 2008). Central parameters to this framework are the population census size (N c ) and effective population size (N e ).…”
Section: Introductionmentioning
confidence: 99%