How fast is fisheries-induced evolution? Quantitative analysis of modelling and empirical studies
Article first published online: 24 JAN 2013
© 2013 The Authors. Evolutionary Applications published by Blackwell Publishing Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Volume 6, Issue 4, pages 585–595, June 2013
How to Cite
Audzijonyte, A., Kuparinen, A. and Fulton, E. A. (2013), How fast is fisheries-induced evolution? Quantitative analysis of modelling and empirical studies. Evolutionary Applications, 6: 585–595. doi: 10.1111/eva.12044
- Issue published online: 21 MAY 2013
- Article first published online: 24 JAN 2013
- Manuscript Accepted: 27 NOV 2012
- Manuscript Received: 30 APR 2012
- Academy of Finland
- European Union's Seventh Framework Programme. Grant Number: N244706/ECOKNOWS
- mixed-model analyses;
- rate of evolution;
- rate of phenotypic change
A number of theoretical models, experimental studies and time-series studies of wild fish have explored the presence and magnitude of fisheries-induced evolution (FIE). While most studies agree that FIE is likely to be happening in many fished stocks, there are disagreements about its rates and implications for stock viability. To address these disagreements in a quantitative manner, we conducted a meta-analysis of FIE rates reported in theoretical and empirical studies. We discovered that rates of phenotypic change observed in wild fish are about four times higher than the evolutionary rates reported in modelling studies, but correlation between the rate of change and instantaneous fishing mortality (F) was very similar in the two types of studies. Mixed-model analyses showed that in the modelling studies traits associated with reproductive investment and growth evolved slower than rates related to maturation. In empirical observations age-at-maturation was changing faster than other life-history traits. We also found that, despite different assumption and modelling approaches, rates of evolution for a given F value reported in 10 of 13 modelling studies were not significantly different.