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The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon

Life history theory examines how characteristics of organisms, such as age and size at maturity, may vary through natural selection as evolutionary responses that optimize fitness. Here we ask how predictions of age and size at maturity differ for the three classical fitness functions–intrinsic rate...

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Autores principales: Breck, James E., Simon, Carl P., Rutherford, Edward S., Low, Bobbi S., Lamberson, P. J., Rogers, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075576/
https://www.ncbi.nlm.nih.gov/pubmed/32176717
http://dx.doi.org/10.1371/journal.pone.0228990
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author Breck, James E.
Simon, Carl P.
Rutherford, Edward S.
Low, Bobbi S.
Lamberson, P. J.
Rogers, Mark W.
author_facet Breck, James E.
Simon, Carl P.
Rutherford, Edward S.
Low, Bobbi S.
Lamberson, P. J.
Rogers, Mark W.
author_sort Breck, James E.
collection PubMed
description Life history theory examines how characteristics of organisms, such as age and size at maturity, may vary through natural selection as evolutionary responses that optimize fitness. Here we ask how predictions of age and size at maturity differ for the three classical fitness functions–intrinsic rate of natural increase r, net reproductive rate R(0), and reproductive value V(x)−for semelparous species. We show that different choices of fitness functions can lead to very different predictions of species behavior. In one’s efforts to understand an organism’s behavior and to develop effective conservation and management policies, the choice of fitness function matters. The central ingredient of our approach is the maturation reaction norm (MRN), which describes how optimal age and size at maturation vary with growth rate or mortality rate. We develop a practical geometric construction of MRNs that allows us to include different growth functions (linear growth and nonlinear von Bertalanffy growth in length) and develop two-dimensional MRNs useful for quantifying growth-mortality trade-offs. We relate our approach to Beverton-Holt life history invariants and to the Stearns-Koella categorization of MRNs. We conclude with a detailed discussion of life history parameters for Great Lakes Chinook Salmon and demonstrate that age and size at maturity are consistent with predictions using R(0) (but not r or V(x)) as the underlying fitness function.
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spelling pubmed-70755762020-03-23 The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon Breck, James E. Simon, Carl P. Rutherford, Edward S. Low, Bobbi S. Lamberson, P. J. Rogers, Mark W. PLoS One Research Article Life history theory examines how characteristics of organisms, such as age and size at maturity, may vary through natural selection as evolutionary responses that optimize fitness. Here we ask how predictions of age and size at maturity differ for the three classical fitness functions–intrinsic rate of natural increase r, net reproductive rate R(0), and reproductive value V(x)−for semelparous species. We show that different choices of fitness functions can lead to very different predictions of species behavior. In one’s efforts to understand an organism’s behavior and to develop effective conservation and management policies, the choice of fitness function matters. The central ingredient of our approach is the maturation reaction norm (MRN), which describes how optimal age and size at maturation vary with growth rate or mortality rate. We develop a practical geometric construction of MRNs that allows us to include different growth functions (linear growth and nonlinear von Bertalanffy growth in length) and develop two-dimensional MRNs useful for quantifying growth-mortality trade-offs. We relate our approach to Beverton-Holt life history invariants and to the Stearns-Koella categorization of MRNs. We conclude with a detailed discussion of life history parameters for Great Lakes Chinook Salmon and demonstrate that age and size at maturity are consistent with predictions using R(0) (but not r or V(x)) as the underlying fitness function. Public Library of Science 2020-03-16 /pmc/articles/PMC7075576/ /pubmed/32176717 http://dx.doi.org/10.1371/journal.pone.0228990 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Breck, James E.
Simon, Carl P.
Rutherford, Edward S.
Low, Bobbi S.
Lamberson, P. J.
Rogers, Mark W.
The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title_full The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title_fullStr The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title_full_unstemmed The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title_short The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon
title_sort geometry of reaction norms yields insights on classical fitness functions for great lakes salmon
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075576/
https://www.ncbi.nlm.nih.gov/pubmed/32176717
http://dx.doi.org/10.1371/journal.pone.0228990
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