Darwinian fisheries science needs to consider realistic fishing pressures over evolutionary time scales

被引:34
作者
Brown, Christopher J. [1 ]
Hobday, Alistair J. [1 ,2 ]
Ziegler, Philippe E. [3 ]
Welsford, Dirk C. [4 ]
机构
[1] Univ Tasmania, Sch Zool, Hobart, Tas 7000, Australia
[2] CSIRO Marine & Atmospher Res, Hobart, Tas 7001, Australia
[3] Univ Tasmania, Tasmanian Aquaculture & Fisheries Inst, Hobart, Tas 7000, Australia
[4] Australian Antarctic Div, Dept Environm Water Heritage & Arts, Kingston, Tas 7050, Australia
关键词
Fishery-driven evolution; Evolution; Fisheries; Heritability; Life history; Selection; Individual-based model;
D O I
10.3354/meps07601
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The apparently intense selective differentials imposed by many fisheries may drive the rapid evolution of growth rates. In a widely-cited laboratory experiment, Conover & Munch (2002; Science 297:94-96) found considerable evolutionary change in the size of harvested fish over 4 generations. Their empirical model has since been used to estimate the impact of fishery-driven evolution on fishery sustainability. Using a mathematical, individual-based model (IBM) that simulates that experiment, we showed that the selection imposed in the Conover & Munch (2002) model is unrealistically strong when compared to harvest rates in wild fisheries. We inferred the evolutionary change that could be expected over the timescale used by Conover & Munch (2002), had they simulated more realistic harvest regimes, and found that the magnitude in their original experiment was 2.5 to 5 times greater. However, over evolutionary timescales of 30 generations and with realistic fishing pressure, the results of Conover & Munch (2002) are comparable to wild fisheries. This simulation result provides support for the use of empirical models to predict the impacts of fishery-driven evolution on yields and sustainability. Future models should consider the timing of fishing events, the trade-off between size, maturation and growth, and density-dependent effects for a comprehensive analysis of the consequences of fishery-driven evolution.
引用
收藏
页码:257 / 266
页数:10
相关论文
共 34 条
[11]  
Falconer DS, 1996, INTRO QUANTITATIVE G, Vxv
[12]   The effect of non-additive genetic interactions on selection in multi-locus genetic models [J].
Hallander, J. ;
Waldmann, P. .
HEREDITY, 2007, 98 (06) :349-359
[13]   Measuring probabilistic reaction norms for age and size at maturation [J].
Heino, M ;
Dieckmann, U ;
Godo, OR .
EVOLUTION, 2002, 56 (04) :669-678
[14]  
Hilborn R, 2007, FISHERIES, V32, P91
[15]  
Hilborn R, 2006, FISHERIES, V31, P554
[16]  
JENNINGS S, 2001, MARINE FISHERIES ECO, V1
[17]   Ecology -: Managing evolving fish stocks [J].
Jorgensen, Christian ;
Enberg, Katja ;
Dunlop, Erin S. ;
Arlinghaus, Robert ;
Boukal, David S. ;
Brander, Keith ;
Ernande, Bruno ;
Gaerdmark, Anna ;
Johnston, Fiona ;
Matsumura, Shuichi ;
Pardoe, Heidi ;
Raab, Kristina ;
Silva, Alexandra ;
Vainikka, Anssi ;
Dieckmann, Ulf ;
Heino, Mikko ;
Rijnsdorp, Adriaan D. .
SCIENCE, 2007, 318 (5854) :1247-1248
[18]   Detecting and managing fisheries-induced evolution [J].
Kuparinen, Anna ;
Merila, Juha .
TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (12) :652-659
[19]   Ocean survival and exploitation of coho salmon (Oncorhynchus kisutch) stocks from the east coast of Vancouver Island, British Columbia [J].
Labelle, M ;
Walters, CJ ;
Riddell, B .
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 1997, 54 (07) :1433-1449
[20]   EVOLUTION OF YIELDS FROM POPULATIONS WITH AGE-SPECIFIC CROPPING [J].
LAW, R ;
GREY, DR .
EVOLUTIONARY ECOLOGY, 1989, 3 (04) :343-359