Calculation of expected rates of fisheries‐induced evolution in data‐poor situations

Research output: Contribution to conferencePaperResearch

Abstract

A central part of an impact assessment of the evolutionary effects of fishing is a calculation of the expected rates of fishing induced by current fishing practice and an evaluation of how alternative fishing patterns may reduce evolutionary impacts of fishing. Here a general size-based framework for modeling the demography of fish based on size-based prescriptions of natural mortality, growth, and fishing is presented. Life history theory is used to reduce the necessary parameter set by utilizing relations between parameters making the framework particularly well suited for data-poor situations where only the size at maturation or the asymptotic size is known. The framework is applied to perform the modeling part of an evolutionary impact assessment using basic quantitative genetics to calculated expected rates of evolution on size at maturation, growth rate, and investment in gonads. A sensitivity analysis of the parameter values is performed, and calculations of how different fishing patterns influences the results are presented.
Original languageEnglish
Publication date2010
Publication statusPublished - 2010
EventICES Council Meeting 2010 - Nantes, France
Duration: 20 Sep 201024 Sep 2010
http://www.ices.dk/iceswork/asc/2010/index.asp

Conference

ConferenceICES Council Meeting 2010
CountryFrance
CityNantes
Period20/09/201024/09/2010
Internet address

Cite this

Andersen, K. H. (2010). Calculation of expected rates of fisheries‐induced evolution in data‐poor situations. Paper presented at ICES Council Meeting 2010, Nantes, France.
@conference{e909464507cc4efbb514f07d6ce97cd4,
title = "Calculation of expected rates of fisheries‐induced evolution in data‐poor situations",
abstract = "A central part of an impact assessment of the evolutionary effects of fishing is a calculation of the expected rates of fishing induced by current fishing practice and an evaluation of how alternative fishing patterns may reduce evolutionary impacts of fishing. Here a general size-based framework for modeling the demography of fish based on size-based prescriptions of natural mortality, growth, and fishing is presented. Life history theory is used to reduce the necessary parameter set by utilizing relations between parameters making the framework particularly well suited for data-poor situations where only the size at maturation or the asymptotic size is known. The framework is applied to perform the modeling part of an evolutionary impact assessment using basic quantitative genetics to calculated expected rates of evolution on size at maturation, growth rate, and investment in gonads. A sensitivity analysis of the parameter values is performed, and calculations of how different fishing patterns influences the results are presented.",
author = "Andersen, {Ken Haste}",
year = "2010",
language = "English",
note = "ICES Council Meeting 2010 ; Conference date: 20-09-2010 Through 24-09-2010",
url = "http://www.ices.dk/iceswork/asc/2010/index.asp",

}

Andersen, KH 2010, 'Calculation of expected rates of fisheries‐induced evolution in data‐poor situations', Paper presented at ICES Council Meeting 2010, Nantes, France, 20/09/2010 - 24/09/2010.

Calculation of expected rates of fisheries‐induced evolution in data‐poor situations. / Andersen, Ken Haste.

2010. Paper presented at ICES Council Meeting 2010, Nantes, France.

Research output: Contribution to conferencePaperResearch

TY - CONF

T1 - Calculation of expected rates of fisheries‐induced evolution in data‐poor situations

AU - Andersen, Ken Haste

PY - 2010

Y1 - 2010

N2 - A central part of an impact assessment of the evolutionary effects of fishing is a calculation of the expected rates of fishing induced by current fishing practice and an evaluation of how alternative fishing patterns may reduce evolutionary impacts of fishing. Here a general size-based framework for modeling the demography of fish based on size-based prescriptions of natural mortality, growth, and fishing is presented. Life history theory is used to reduce the necessary parameter set by utilizing relations between parameters making the framework particularly well suited for data-poor situations where only the size at maturation or the asymptotic size is known. The framework is applied to perform the modeling part of an evolutionary impact assessment using basic quantitative genetics to calculated expected rates of evolution on size at maturation, growth rate, and investment in gonads. A sensitivity analysis of the parameter values is performed, and calculations of how different fishing patterns influences the results are presented.

AB - A central part of an impact assessment of the evolutionary effects of fishing is a calculation of the expected rates of fishing induced by current fishing practice and an evaluation of how alternative fishing patterns may reduce evolutionary impacts of fishing. Here a general size-based framework for modeling the demography of fish based on size-based prescriptions of natural mortality, growth, and fishing is presented. Life history theory is used to reduce the necessary parameter set by utilizing relations between parameters making the framework particularly well suited for data-poor situations where only the size at maturation or the asymptotic size is known. The framework is applied to perform the modeling part of an evolutionary impact assessment using basic quantitative genetics to calculated expected rates of evolution on size at maturation, growth rate, and investment in gonads. A sensitivity analysis of the parameter values is performed, and calculations of how different fishing patterns influences the results are presented.

M3 - Paper

ER -

Andersen KH. Calculation of expected rates of fisheries‐induced evolution in data‐poor situations. 2010. Paper presented at ICES Council Meeting 2010, Nantes, France.