PaperYear: | 2017 |
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Author(s): | S. Lowerre-Barbieri, G. DeCelles, P. Pepin, I. A. Catalán, B. Muhling, B. Erisman, S.X. Cadrin, J. Alós, A. Ospina-Alvarez, M. M. Stachura, M. D. Tringali, S. W. Burnsed, C. B. Paris |
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Title: | Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish |
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Journal: | FISH AND FISHERIES |
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ISSN: | 1467-2960 |
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JCR Impact Factor: | 6.99 |
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Volume: | 18 |
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Issue No.: | 2 |
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Pages: | 258-312 |
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D.O.I.: | 10.1111/faf.12180 |
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Web: | https://dx.doi.org/10.1111/faf.12180 |
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Abstract: | A close relationship between adult abundance and stock productivity may
not exist for many marine fish stocks, resulting in concern that the
management goal of maximum sustainable yield is either inefficient or
risky. Although reproductive success is tightly coupled with adult
abundance and fecundity in many terrestrial animals, in exploited marine
fish where and when fish spawn and consequent dispersal dynamics may
have a greater impact. Here, we propose an eco-evolutionary perspective,
reproductive resilience, to understand connectivity and productivity in
marine fish. Reproductive resilience is the capacity of a population to
maintain the reproductive success needed to result in long-term
population stability despite disturbances. A stock's reproductive
resilience is driven by the underlying traits in its spawner-recruit
system, selected for over evolutionary timescales, and the ecological
context within which it is operating. Spawner-recruit systems are
species specific, have both density-dependent and fitness feedback loops
and are made up of fixed, behavioural and ecologically variable traits.
They operate over multiple temporal, spatial and biological scales,
with trait diversity affecting reproductive resilience at both the
population and individual (i.e. portfolio) scales. Models of
spawner-recruit systems fall within three categories: (i)
two-dimensional models (i.e. spawner and recruit); (ii) process-based
biophysical dispersal models which integrate physical and environmental
processes into understanding recruitment; and (iii) complex spatially
explicit integrated life cycle models. We review these models and their
underlying assumptions about reproductive success vs. our emerging
mechanistic understanding. We conclude with practical guidelines for
integrating reproductive resilience into assessments of population
connectivity and stock productivity. |
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Related staffIgnacio A. Catalán AlemanyAndrés Alonso Ospina AlvarezJosep Alós CrespíRelated research groupsMarine Ecosystems Dynamics
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