News Release

Differences in metabolic rates of exploited and unexploited fish populations

RMR may be signature of recreational fisheries induced evolution

Peer-Reviewed Publication

University of Connecticut

In a paper published June 3, 2015 in the online journal PLOS ONE, University of Connecticut researchers Jan-Michael Hessenauer and Jason C. Vokoun, both in the Department of Natural Resources and the Environment, report on fisheries induced evolution (FIE) in recreational fisheries.

Their research compared populations of largemouth bass (Micropterus salmoides) taken from unexploited reference populations in the state of Connecticut and compared their resting metabolic rates (RMR) with populations taken from popular inland recreational fisheries.

Differences among exploited and unexploited populations suggest that recreational fishing may select against high metabolic rate fish which tend to be more aggressive and therefore easier to catch. In the long term, this could affect the tropic dynamics within an entire body of water as well as the quality of the fishery.

"We collected baby fish from each type of lake or reservoir and transferred them to a protected location with no anglers and no predation from larger fish," Hessenauer says. "They grew up in the same environment so they all experienced the same rearing conditions. The next year, we measured their resting metabolism. We found that significantly more individuals taken from the lakes where fishing was allowed had lower metabolic rates relative to the fish taken from the protected bodies of water, even though neither had actually spent any appreciable time in their natal environments."

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The PLOS ONE report: Differences in the Metabolic Rates of Exploited and Unexploited Fish Populations: A Signature of Recreational Fisheries Induced Evolution can be found online.

Contacts:

Jan-Michael Hessenauer: jan-michael.hessenauer@uconn.edu (860) 486-2808

Jason Vokoun: jason.vokoun@uconn.edu (860) 486-0141

Sheila Foran, University Communications: sheila.foran@uconn.edu (860) 486-5385


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