Seascape and life-history traits do not predict self-recruitment in a coral reef fish

Herrera, Marcela, Nanninga, Gerrit B., Planes, Serge, Jones, Geoffrey P., Thorrold, Simon R., Saenz-Agudelo, Pablo, Almany, Glenn R., and Berumen, Michael L. (2016) Seascape and life-history traits do not predict self-recruitment in a coral reef fish. Biology Letters, 12 (8). 20160309. pp. 1-4.

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The persistence and resilience of many coral reef species are dependent on rates of connectivity among sub-populations. However, despite increasing research efforts, the spatial scale of larval dispersal remains unpredictable for most marine metapopulations. Here, we assess patterns of larval dispersal in the angelfish Centropyge bicolor in Kimbe Bay, Papua New Guinea, using parentage and sibling reconstruction analyses based on 23 microsatellite DNA loci. We found that, contrary to previous findings in this system, self-recruitment (SR) was virtually absent at both the reef (0.4-0.5% at 0.15 km(2)) and the lagoon scale (0.6-0.8% at approx. 700 km(2)). While approximately 25% of the collected juveniles were identified as potential siblings, the majority of sibling pairs were sampled from separate reefs. Integrating our findings with earlier research from the same system suggests that geographical setting and life-history traits alone are not suitable predictors of SR and that high levels of localized recruitment are not universal in coral reef fishes.

Item ID: 47216
Item Type: Article (Research - C1)
ISSN: 1744-957X
Keywords: larval dispersal, connectivity, parentage, sibship, Kimbe Bay, metapopulation
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Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.

Funders: King Abdullah University of Science and Technology (KAUST), Australian Research Council (ARC)
Projects and Grants: KAUST baseline research funds, KAUST Speical Partnership Colloborative Fellowship, ARC OCE0928442, ARC OCE1031256
Date Deposited: 18 Jan 2017 07:42
FoR Codes: 31 BIOLOGICAL SCIENCES > 3103 Ecology > 310305 Marine and estuarine ecology (incl. marine ichthyology) @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 100%
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