2021
DOI: 10.1111/ele.13721
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Persistence of a reef fish metapopulation via network connectivity: theory and data

Abstract: Determining metapopulation persistence requires understanding both demographic rates and patch connectivity. Persistence is well understood in theory but has proved challenging to test empirically for marine and other species with high connectivity that precludes classic colonisation-extinction dynamics. Here, we assessed persistence for a yellowtail anemonefish (Amphiprion clarkii) metapopulation using 7 years of annual sampling data along 30 km of coastline. We carefully accounted for uncertainty in demograp… Show more

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Cited by 10 publications
(8 citation statements)
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“…Accordingly, removing weaker edges resulted in a fragmented sparsely connected network 25 . Furthermore, coral reef fish larval connectivity patterns and large volatility in temporal dispersal have critical implications for the persistence and management of populations 20 , 58 , e.g. with stability arising from volatility 57 .…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, removing weaker edges resulted in a fragmented sparsely connected network 25 . Furthermore, coral reef fish larval connectivity patterns and large volatility in temporal dispersal have critical implications for the persistence and management of populations 20 , 58 , e.g. with stability arising from volatility 57 .…”
Section: Discussionmentioning
confidence: 99%
“…The dispersal kernel has been long recognized as a useful approach to quantify dispersal patterns of plant seeds, insects, and fish larvae (Almany et al, 2017;Ayata et al, 2010;Catalano et al, 2021;Collin et al, 2013;Cowen & Sponaugle, 2009;D'Aloia et al, 2015;Dedrick et al, 2021;Hrycik et al, 2013;Nathan, 2006;Shi et al, 2020Shi et al, , 2021Shi et al, , 2022. Genetic-based approaches only measure successful dispersal to define the dispersal kernel as the probability density function (p.d.f.)…”
Section: Development Of a Recruitment Kernelmentioning
confidence: 99%
“…While our metapopulation persistence model makes several simplifying assumptions, it demonstrates how dispersal influences persistence, and the resulting patterns match known fundamental network characteristics that generate persistence. Essentially, persistence depends on the connectivity between MPAs forming loops so that a supply of larvae "return" to the origin population from multi-generational and multi-patch movement (Hastings & Botsford 2006, Artzy-Randrup & Stone 2010, Dedrick et al 2021). An isolated population can therefore persist only if larval retention and survival exceed adult mortality (Burgess et al 2014)…”
Section: Evaluating Mpa Network Coherence For Multiple Speciesmentioning
confidence: 99%