Evolutionary assembly rules for fish life histories
Abstract 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 , where L ∞ (cm) and K (year −1 ) are the von Bertalanffy growth equation (VBGE) parameters, and L (cm)...
| Published in: | Fish and Fisheries |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
2012
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1111/j.1467-2979.2012.00467.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1467-2979.2012.00467.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1467-2979.2012.00467.x |
| Summary: | Abstract 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 , 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 −⅓ power function rule between M and the mass at first reproduction ( W α ); this new −⅓ 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. |
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