Evolutionary assembly rules for fish life histories

被引:147
作者
Charnov, Eric L. [1 ]
Gislason, Henrik [2 ]
Pope, John G. [2 ]
机构
[1] Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
[2] Tech Univ Denmark, Natl Inst Aquatic Resources, DK-2920 Charlottenlund, Denmark
关键词
fish growth; natural mortality; optimal life history; NATURAL MORTALITY; TRADE-OFF; ENVIRONMENTAL-TEMPERATURE; GROWTH-PARAMETERS; SIZE; PATTERNS; COMMUNITY; NUMBER;
D O I
10.1111/j.1467-2979.2012.00467.x
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
We revisit the empirical equation of Gislason et al. (2010, Fish and Fisheries 11:149-158) for predicting natural mortality (M, year)1) of marine fish. We show it to be equivalent to M=[L/L infinity](-1.5)center dot K, where L infinity (cm) and K (year(-1)) are the von Bertalanffy growth equation (VBGE) parameters, and L (cm) is fish length along the growth trajectory within the species. We then interpret K in terms of the VBGE in mass (dW/dT),and show that the previous equation is itself equivalent to a 1-/3 power function rule between M and the mass at first reproduction (W alpha); this new -1/3 power function emerges directly from the life history that maximizes Darwinian fitness in nongrowing populations. We merge this M, W alpha power function with other power functions to produce general across-species scaling rules for yearly reproductive allocation, reproductive effort and age at first reproduction in fish. We then suggest a new way to classify habitats (or lifestyles) as to the life histories they should contain, and we contrast our scheme with the widely used Winemiller.Rose fish lifestyle classification.
引用
收藏
页码:213 / 224
页数:12
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