2015
DOI: 10.1371/journal.pone.0128336
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Differences in the Metabolic Rates of Exploited and Unexploited Fish Populations: A Signature of Recreational Fisheries Induced Evolution?

Abstract: Non-random mortality associated with commercial and recreational fisheries have the potential to cause evolutionary changes in fish populations. Inland recreational fisheries offer unique opportunities for the study of fisheries induced evolution due to the ability to replicate study systems, limited gene flow among populations, and the existence of unexploited reference populations. Experimental research has demonstrated that angling vulnerability is heritable in Largemouth Bass Micropterus salmoides, and is … Show more

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Cited by 34 publications
(43 citation statements)
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“…This finding was contrary to our initial predictions, which were based on a number of previous studies documenting that high metabolic rates may increase the likelihood of a fish being captured, albeit via different gear types (Biro and Post, 2008). Other work has also indicated that angling pressure may lead to a reduction in metabolic rate in exploited populations, likely as a result of the selective capture of individuals with higher metabolism (Hessenauer et al, 2015). Alterations to metabolic phenotype via the selective capture and removal of individuals with high metabolic rates could potentially have fitness-related outcomes for exploited populations, as metabolism is closely linked to growth rate and overall productivity as well as the likelihood of mortality (Biro and Stamps, 2008;Myles-Gonzalez et al, 2015).…”
Section: Discussioncontrasting
confidence: 99%
“…This finding was contrary to our initial predictions, which were based on a number of previous studies documenting that high metabolic rates may increase the likelihood of a fish being captured, albeit via different gear types (Biro and Post, 2008). Other work has also indicated that angling pressure may lead to a reduction in metabolic rate in exploited populations, likely as a result of the selective capture of individuals with higher metabolism (Hessenauer et al, 2015). Alterations to metabolic phenotype via the selective capture and removal of individuals with high metabolic rates could potentially have fitness-related outcomes for exploited populations, as metabolism is closely linked to growth rate and overall productivity as well as the likelihood of mortality (Biro and Stamps, 2008;Myles-Gonzalez et al, 2015).…”
Section: Discussioncontrasting
confidence: 99%
“…Growth rate also likely integrated the independent effects of unmeasured physiological and behavioral traits. For example, links among behavior, learning ability (DePasquale, Wagner, Archard, Ferguson, & Braithwaite, ; Kotrschal et al., ; Trompf & Brown, ), and metabolic rate (Biro & Stamps, ) have been reported in other studies (Hessenauer, Vokoun, Davis, Jacobs, & O′Donnell, ; Hessenauer et al., ), which may all affect growth rate (Redpath, Cooke, Arlinghaus, Wahl, & Philipp, ; Redpath et al., ). In line with Biro and Sampson (), we thus tentatively conclude that a sizable fraction of the remaining “direct” selection on juvenile growth rate can be explained by variation in unmeasured energy‐acquisition‐related behaviors (Enberg et al., ), for example, individual variation in intensity of ingesting baited hooks and freely available baits (Gutmann Roberts, Bašić, Amat Trigo, & Britton, ).…”
Section: Discussionmentioning
confidence: 81%
“…; Hessenhauer et al . ). Depending on the local availability of food, less vulnerable individuals with lower metabolic rates may actually grow faster, and not slower, than their high‐vulnerable, high metabolic rate, more aggressive conspecifics who under food limitation might not be able to turn their genetically higher growth capacity into rapid somatic growth (as shown in largemouth bass selected for vulnerability to angling, Micropterus salmoides , Centrachidae, Redpath et al .…”
Section: Population‐level Consequencesmentioning
confidence: 97%
“…) and indirectly through correlated changes in population‐level metabolic rates (Hessenhauer et al . ). However, the predictions of what effects to expect are not clear cut.…”
Section: Consequence For Communities and Food Websmentioning
confidence: 97%