Evolutionary assembly rules for fish life histories

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Evolutionary assembly rules for fish life histories. / Charnov, E.L.; Gislason, Henrik; Pope, J.G.

In: Fish & Fisheries, Vol. 14, No. 2, 2012, p. 213-224.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Author

Charnov, E.L.; Gislason, Henrik; Pope, J.G. / Evolutionary assembly rules for fish life histories.

In: Fish & Fisheries, Vol. 14, No. 2, 2012, p. 213-224.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{5f10c011bc5f42129d795d39063629a7,
title = "Evolutionary assembly rules for fish life histories",
publisher = "Springer Netherlands",
author = "E.L. Charnov and Henrik Gislason and J.G. Pope",
year = "2012",
doi = "10.1111/j.1467-2979.2012.00467.x",
volume = "14",
number = "2",
pages = "213--224",
journal = "Fish & Fisheries",
issn = "1367-8396",

}

RIS

TY - JOUR

T1 - Evolutionary assembly rules for fish life histories

A1 - Charnov,E.L.

A1 - Gislason,Henrik

A1 - Pope,J.G.

AU - Charnov,E.L.

AU - Gislason,Henrik

AU - Pope,J.G.

PB - Springer Netherlands

PY - 2012

Y1 - 2012

N2 - We revisit the empirical equation of Gislason et al. (2010, Fish and Fisheries11:149-158) for predicting natural mortality (M, year -1) of marine fish. We show it to be equivalent to , where L ∞ (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 , 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 α); this new -1/3 power function emerges directly from the life history that maximizes Darwinian fitness in non-growing populations. We merge this M, W α 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

AB - We revisit the empirical equation of Gislason et al. (2010, Fish and Fisheries11:149-158) for predicting natural mortality (M, year -1) of marine fish. We show it to be equivalent to , where L ∞ (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 , 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 α); this new -1/3 power function emerges directly from the life history that maximizes Darwinian fitness in non-growing populations. We merge this M, W α 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

U2 - 10.1111/j.1467-2979.2012.00467.x

DO - 10.1111/j.1467-2979.2012.00467.x

JO - Fish & Fisheries

JF - Fish & Fisheries

SN - 1367-8396

IS - 2

VL - 14

SP - 213

EP - 224

ER -