Literature DB >> 19564596

Expected rate of fisheries-induced evolution is slow.

Ken H Andersen1, Keith Brander.   

Abstract

Commercial fisheries exert high mortalities on the stocks they exploit, and the consequent selection pressure leads to fisheries-induced evolution of growth rate, age and size at maturation, and reproductive output. Productivity and yields may decline as a result, but little is known about the rate at which such changes are likely to occur. Fisheries-induced evolution of exploited populations has recently become a subject of concern for policy makers, fisheries managers, and the general public, with prominent calls for mitigating management action. We make a general evolutionary impact assessment of fisheries by calculating the expected rate of fisheries-induced evolution and the consequent changes in yield. Rates of evolution are expected to be approximately 0.1-0.6% per year, and the consequent reductions in fisheries yield are <0.7% per year. These rates are at least a factor of 5 lower than published values based on experiments and analyses of population time series, and we explain why the published rates may be overestimates. Dealing with evolutionary effects of fishing is less urgent than reducing the direct detrimental effects of overfishing on exploited stocks and on their marine ecosystems.

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Year:  2009        PMID: 19564596      PMCID: PMC2710621          DOI: 10.1073/pnas.0901690106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  9 in total

1.  Reproductive constraints and the evolution of life histories with indeterminate growth.

Authors:  E L Charnov; T F Turner; K O Winemiller
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-31       Impact factor: 11.205

2.  Sustaining fisheries yields over evolutionary time scales.

Authors:  David O Conover; Stephan B Munch
Journal:  Science       Date:  2002-07-05       Impact factor: 47.728

3.  Adaptive changes in harvested populations: plasticity and evolution of age and size at maturation.

Authors:  Bruno Ernande; Ulf Dieckmann; Mikko Heino
Journal:  Proc Biol Sci       Date:  2004-02-22       Impact factor: 5.349

4.  Asymptotic size determines species abundance in the marine size spectrum.

Authors:  K H Andersen; J E Beyer
Journal:  Am Nat       Date:  2006-05-09       Impact factor: 3.926

Review 5.  Detecting and managing fisheries-induced evolution.

Authors:  Anna Kuparinen; Juha Merilä
Journal:  Trends Ecol Evol       Date:  2007-11-05       Impact factor: 17.712

6.  Ecology: managing evolving fish stocks.

Authors:  Christian Jørgensen; Katja Enberg; Erin S Dunlop; Robert Arlinghaus; David S Boukal; Keith Brander; Bruno Ernande; Anna Gardmark; Fiona Johnston; Shuichi Matsumura; Heidi Pardoe; Kristina Raab; Alexandra Silva; Anssi Vainikka; Ulf Dieckmann; Mikko Heino; Adriaan D Rijnsdorp
Journal:  Science       Date:  2007-11-23       Impact factor: 47.728

7.  Evolution: Unnatural selection.

Authors:  Nils Chr Stenseth; Erin S Dunlop
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

8.  Maturation trends indicative of rapid evolution preceded the collapse of northern cod.

Authors:  Esben M Olsen; Mikko Heino; George R Lilly; M Joanne Morgan; John Brattey; Bruno Ernande; Ulf Dieckmann
Journal:  Nature       Date:  2004-04-29       Impact factor: 49.962

9.  Interpreting the von Bertalanffy model of somatic growth in fishes: the cost of reproduction.

Authors:  N P Lester; B J Shuter; P A Abrams
Journal:  Proc Biol Sci       Date:  2004-08-07       Impact factor: 5.349

  9 in total
  15 in total

1.  Economic repercussions of fisheries-induced evolution.

Authors:  Anne Maria Eikeset; Andries Richter; Erin S Dunlop; Ulf Dieckmann; Nils Chr Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-08       Impact factor: 11.205

Review 2.  How humans drive speciation as well as extinction.

Authors:  J W Bull; M Maron
Journal:  Proc Biol Sci       Date:  2016-06-29       Impact factor: 5.349

3.  Some cautionary notes on fisheries evolutionary impact assessments.

Authors:  Michael T Kinnison; Eric P Palkovacs; Chris T Darimont; Stephanie M Carlson; Paul C Paquet; Christopher C Wilmers
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-29       Impact factor: 11.205

4.  Evolutionary and ecological feedbacks of the survival cost of reproduction.

Authors:  Anna Kuparinen; David C Hardie; Jeffrey A Hutchings
Journal:  Evol Appl       Date:  2011-11-07       Impact factor: 5.183

Review 5.  The life aquatic: advances in marine vertebrate genomics.

Authors:  Joanna L Kelley; Anthony P Brown; Nina Overgaard Therkildsen; Andrew D Foote
Journal:  Nat Rev Genet       Date:  2016-07-04       Impact factor: 53.242

6.  Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes.

Authors:  Anne Maria Eikeset; Erin S Dunlop; Mikko Heino; Geir Storvik; Nils C Stenseth; Ulf Dieckmann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-09       Impact factor: 11.205

7.  The battle between harvest and natural selection creates small and shy fish.

Authors:  Christopher T Monk; Dorte Bekkevold; Thomas Klefoth; Thilo Pagel; Miquel Palmer; Robert Arlinghaus
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-02       Impact factor: 11.205

8.  Recreational fishing selectively captures individuals with the highest fitness potential.

Authors:  David A H Sutter; Cory D Suski; David P Philipp; Thomas Klefoth; David H Wahl; Petra Kersten; Steven J Cooke; Robert Arlinghaus
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-03       Impact factor: 11.205

9.  Ecological consequences of body size decline in harvested fish species: positive feedback loops in trophic interactions amplify human impact.

Authors:  Asta Audzijonyte; Anna Kuparinen; Rebecca Gorton; Elizabeth A Fulton
Journal:  Biol Lett       Date:  2013-01-30       Impact factor: 3.703

10.  Throwing down a genomic gauntlet on fisheries-induced evolution.

Authors:  Jeffrey A Hutchings; Anna Kuparinen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-18       Impact factor: 11.205

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