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Estimation of fitness from energetics and life‐history data: An example using mussels
Changing environments have the potential to alter the fitness of organisms through effects on components of fitness such as energy acquisition, metabolic cost, growth rate, survivorship, and reproductive output. Organisms, on the other hand, can alter aspects of their physiology and life histories t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010765/ https://www.ncbi.nlm.nih.gov/pubmed/29938052 http://dx.doi.org/10.1002/ece3.4004 |
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author | Sebens, Kenneth P. Sarà, Gianluca Carrington, Emily |
author_facet | Sebens, Kenneth P. Sarà, Gianluca Carrington, Emily |
author_sort | Sebens, Kenneth P. |
collection | PubMed |
description | Changing environments have the potential to alter the fitness of organisms through effects on components of fitness such as energy acquisition, metabolic cost, growth rate, survivorship, and reproductive output. Organisms, on the other hand, can alter aspects of their physiology and life histories through phenotypic plasticity as well as through genetic change in populations (selection). Researchers examining the effects of environmental variables frequently concentrate on individual components of fitness, although methods exist to combine these into a population level estimate of average fitness, as the per capita rate of population growth for a set of identical individuals with a particular set of traits. Recent advances in energetic modeling have provided excellent data on energy intake and costs leading to growth, reproduction, and other life‐history parameters; these in turn have consequences for survivorship at all life‐history stages, and thus for fitness. Components of fitness alone (performance measures) are useful in determining organism response to changing conditions, but are often not good predictors of fitness; they can differ in both form and magnitude, as demonstrated in our model. Here, we combine an energetics model for growth and allocation with a matrix model that calculates population growth rate for a group of individuals with a particular set of traits. We use intertidal mussels as an example, because data exist for some of the important energetic and life‐history parameters, and because there is a hypothesized energetic trade‐off between byssus production (affecting survivorship), and energy used for growth and reproduction. The model shows exactly how strong this trade‐off is in terms of overall fitness, and it illustrates conditions where fitness components are good predictors of actual fitness, and cases where they are not. In addition, the model is used to examine the effects of environmental change on this trade‐off and on both fitness and on individual fitness components. |
format | Online Article Text |
id | pubmed-6010765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60107652018-06-22 Estimation of fitness from energetics and life‐history data: An example using mussels Sebens, Kenneth P. Sarà, Gianluca Carrington, Emily Ecol Evol Original Research Changing environments have the potential to alter the fitness of organisms through effects on components of fitness such as energy acquisition, metabolic cost, growth rate, survivorship, and reproductive output. Organisms, on the other hand, can alter aspects of their physiology and life histories through phenotypic plasticity as well as through genetic change in populations (selection). Researchers examining the effects of environmental variables frequently concentrate on individual components of fitness, although methods exist to combine these into a population level estimate of average fitness, as the per capita rate of population growth for a set of identical individuals with a particular set of traits. Recent advances in energetic modeling have provided excellent data on energy intake and costs leading to growth, reproduction, and other life‐history parameters; these in turn have consequences for survivorship at all life‐history stages, and thus for fitness. Components of fitness alone (performance measures) are useful in determining organism response to changing conditions, but are often not good predictors of fitness; they can differ in both form and magnitude, as demonstrated in our model. Here, we combine an energetics model for growth and allocation with a matrix model that calculates population growth rate for a group of individuals with a particular set of traits. We use intertidal mussels as an example, because data exist for some of the important energetic and life‐history parameters, and because there is a hypothesized energetic trade‐off between byssus production (affecting survivorship), and energy used for growth and reproduction. The model shows exactly how strong this trade‐off is in terms of overall fitness, and it illustrates conditions where fitness components are good predictors of actual fitness, and cases where they are not. In addition, the model is used to examine the effects of environmental change on this trade‐off and on both fitness and on individual fitness components. John Wiley and Sons Inc. 2018-05-07 /pmc/articles/PMC6010765/ /pubmed/29938052 http://dx.doi.org/10.1002/ece3.4004 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Sebens, Kenneth P. Sarà, Gianluca Carrington, Emily Estimation of fitness from energetics and life‐history data: An example using mussels |
title | Estimation of fitness from energetics and life‐history data: An example using mussels |
title_full | Estimation of fitness from energetics and life‐history data: An example using mussels |
title_fullStr | Estimation of fitness from energetics and life‐history data: An example using mussels |
title_full_unstemmed | Estimation of fitness from energetics and life‐history data: An example using mussels |
title_short | Estimation of fitness from energetics and life‐history data: An example using mussels |
title_sort | estimation of fitness from energetics and life‐history data: an example using mussels |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010765/ https://www.ncbi.nlm.nih.gov/pubmed/29938052 http://dx.doi.org/10.1002/ece3.4004 |
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