Exploitation as a driving force of life history evolution: Methods and empirical analyses

Heino M & Dieckmann U (2004). Exploitation as a driving force of life history evolution: Methods and empirical analyses. In: ICES CM Documents 2004 - ICES Annual Science Conference, 22-25 September 2004.

Full text not available from this repository.

Abstract

Today, fishing is the dominant source of mortality in most commercially exploited fish stocks. Life-history theory predicts that, under most circumstances, increased mortality at potential ages and sizes at maturation selects for earlier maturation. Indeed, commercially exploited fish stocks often show trends towards earlier maturation. However, another plausible explanation exists: earlier maturation may simply reflect phenotypic plasticity. Because of this ambiguity in disentangling the plastic and evolutionary components of life history changes, understanding the nature of phenotypic changes in exploited fish populations has been difficult so far. A recently developed new method for estimating probabilistic reaction norms for age and size at maturation is now helping to overcome this problem, and, in most of the cases analysed so far, is suggesting that evolutionary components contribute to the observed trends in age and size at maturation. In this paper we give an overview of the probabilistic reaction norm method and describe the resulting progress with empirical case studies.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Exploitations; Beskatning
Research Programs: Adaptive Dynamics Network (ADN)
Bibliographic Reference: In:; ICES CM Documents 2004 - ICES Annual Science Conference; 22-25 September 2004, Vigo, Spain
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:16
Last Modified: 20 Jan 2016 16:43
URI: http://pure.iiasa.ac.at/7335

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313