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      Fluctuations in food supply drive recruitment variation in a marine fish

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          Abstract

          Reproductive rates and survival of young in animal populations figure centrally in generating management and conservation strategies. Model systems suggest that food supply can drive these often highly variable properties, yet for many wild species, quantifying such effects and assessing their implications have been challenging. We used spatially explicit time series of a well-studied marine reef fish (black surfperch Embiotoca jacksoni ) and its known prey resources to evaluate the extent to which fluctuations in food supply influenced production of young by adults and survival of young to subadulthood. Our analyses reveal: (i) variable food available to both adults and to their offspring directly produced an order of magnitude variation in the number of young-of-year (YOY) produced per adult and (ii) food available to YOY produced a similar magnitude of variation in their subsequent survival. We also show that such large natural variation in vital rates can significantly alter decision thresholds (biological reference points) important for precautionary management. These findings reveal how knowledge of food resources can improve understanding of population dynamics and reduce risk of overharvest by more accurately identifying periods of low recruitment.

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          Most cited references47

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            Quantitative Fisheries Stock Assessment

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                Author and article information

                Journal
                Proceedings of the Royal Society B: Biological Sciences
                Proc. R. Soc. B.
                The Royal Society
                0962-8452
                1471-2954
                November 22 2012
                September 26 2012
                November 22 2012
                : 279
                : 1747
                : 4542-4550
                Affiliations
                [1 ]Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106, USA
                [2 ]Marine Science Institute, University of California, Santa Barbara, CA 93106, USA
                Article
                10.1098/rspb.2012.1862
                fef7f944-3166-429a-ae85-6c96af7a6625
                © 2012

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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