2009
DOI: 10.1111/j.1752-4571.2009.00077.x
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ORIGINAL ARTICLE: Implications of fisheries‐induced evolution for stock rebuilding and recovery

Abstract: Worldwide depletion of fish stocks has led fisheries managers to become increasingly concerned about rebuilding and recovery planning. To succeed, factors affecting recovery dynamics need to be understood, including the role of fisheries-induced evolution. Here we investigate a stock's response to fishing followed by a harvest moratorium by analyzing an individual-based evolutionary model parameterized for Atlantic cod Gadus morhua from its northern range, representative of long-lived, late-maturing species. T… Show more

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Cited by 214 publications
(284 citation statements)
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References 105 publications
(205 reference statements)
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“…The resulting standing variation j p 0.6 sr in a hypothetical monomorphic population corresponds to a genetic coefficient of variation of 13% (Houle 1992). For comparison, a value of 6% was used for the initial genetic coefficient of variation in an evolutionary model parameterized for Atlantic cod (Gadus morhua), a value that was considered conservative (i.e., low) in light of the available empirical evidence (Enberg et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…The resulting standing variation j p 0.6 sr in a hypothetical monomorphic population corresponds to a genetic coefficient of variation of 13% (Houle 1992). For comparison, a value of 6% was used for the initial genetic coefficient of variation in an evolutionary model parameterized for Atlantic cod (Gadus morhua), a value that was considered conservative (i.e., low) in light of the available empirical evidence (Enberg et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…High‐yield harvesting regimes impose significant selection on morphology, life history and behaviour, and harvested populations sometimes evolve in response (Enberg, Jørgensen, Dunlop, Heino, & Dieckmann, 2009; Hendry et al., 2011; Law, 2000; Proaktor, Coulson, & Milner‐Gulland, 2007; Reznick & Ghalambor, 2005). In turn, these evolutionary responses can alter the productivity and sustainability of the harvested populations, sometimes in negative ways (Law & Salick, 2005; Walsh, Munch, Chiba, & Conover, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Mortality may decrease with size, due to a lower vulnerability of larger individuals to predators, or increase with size, a typical feature of human harvest regimes (e.g., Dunlop et al 2007Dunlop et al , 2009aDunlop et al , 2009bThériault et al 2008;Enberg et al 2009;Jørgensen et al 2009;Okamoto et al 2009). Parental effects may enhance offspring survival through better egg quality or parental care (Trippel 1995;Berkeley et al 2004).…”
Section: Model Limitations and Extensionsmentioning
confidence: 99%
“…Accordingly, a maturation reaction norm is the curve in the age-size plane connecting the combinations of age and size at maturation that are expressed by a given genotype for different growth rates in the age-size plane (Stearns and Crandall 1984;Stearns and Koella 1986). The evolution of maturation reaction norms has been the subject of numerous theoretical studies (e.g., Stearns and Koella 1986;Perrin and Rubin 1990;Berrigan and Koella 1994;Day and Rowe 2002;Dunlop et al 2007Dunlop et al , 2009aDunlop et al , 2009bThériault et al 2008;Enberg et al 2009;Jørgensen et al 2009). As the costs and benefits of maturing earlier or later accrue in terms of survival and/or size-dependent fecundity, the rates of somatic growth and mortality are expected to serve as primary determinants of maturation evolution.…”
Section: Introductionmentioning
confidence: 99%