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Robbing Peter to pay Paul: replacing unintended cross-taxa conflicts with intentional tradeoffs by moving from piecemeal to integrated fisheries bycatch management ArchiMer
Gilman, Eric; Chaloupka, Milani; Dagorn, Laurent; Hall, Martin; Hobday, Alistair; Musyl, Michael; Pitcher, Tony; Poisson, Francois; Restrepo, Victor; Suuronen, Petri.
Bycatch in fisheries can have profound effects on the abundance of species with relatively low resilience to increased mortality, can alter the evolutionary characteristics and concomitant fitness of affected populations through heritable trait-based selective removals, and can alter ecosystem functions, structure and services through food web trophic links. We challenge current piecemeal bycatch management paradigms, which reduce the mortality of one taxon of conservation concern at the unintended expense of others. Bycatch mitigation measures may also reduce intraspecific genetic diversity. We drew examples of broadly prescribed ‘best practice’ methods to mitigate bycatch that result in unintended cross-taxa conflicts from pelagic longline, tuna purse...
Tipo: Text Palavras-chave: Bycatch; Conflicts; Decision support tool; Fisheries-induced evolution; Holistic management; Integrated management.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00475/58693/61206.pdf
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Effect of pelagic longline bait type on species selectivity: a global synthesis of evidence ArchiMer
Gilman, Eric; Chaloupka, Milani; Bach, Pascal; Fennell, Hannah; Hall, Martin; Musyl, Michael; Piovano, Susanna; Poisson, Francois; Song, Liming.
Fisheries can profoundly affect bycatch species with ‘slow’ life history traits. Managing bait type offers one tool to control species selectivity. Different species and sizes of marine predators have different prey, and hence bait, preferences. This preference is a function of a bait’s chemical, visual, acoustic and textural characteristics and size, and for seabirds the effect on hook sink rate is also important. We conducted a global meta-analysis of existing estimates of the relative risk of capture on different pelagic longline baits. We applied a Bayesian random effects meta-analytic regression modelling approach to estimate overall expected bait-specific catch rates. For blue shark and marine turtles, there were 34% (95% HDI: 4–59%) and 60% (95%...
Tipo: Text Palavras-chave: Bait; Bycatch; Longline; Mitigation; Selectivity; Tuna.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00643/75536/76441.pdf
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