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Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing

Consumers face numerous risks that can be minimized by incorporating different life-history strategies. How much and when a consumer adds to its energetic reserves or invests in reproduction are key behavioral and physiological adaptations that structure communities. Here we develop a theoretical fr...

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Autores principales: Bhat, Uttam, Kempes, Christopher P., Yeakel, Justin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983398/
https://www.ncbi.nlm.nih.gov/pubmed/31848238
http://dx.doi.org/10.1073/pnas.1907998117
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author Bhat, Uttam
Kempes, Christopher P.
Yeakel, Justin D.
author_facet Bhat, Uttam
Kempes, Christopher P.
Yeakel, Justin D.
author_sort Bhat, Uttam
collection PubMed
description Consumers face numerous risks that can be minimized by incorporating different life-history strategies. How much and when a consumer adds to its energetic reserves or invests in reproduction are key behavioral and physiological adaptations that structure communities. Here we develop a theoretical framework that explicitly accounts for stochastic fluctuations of an individual consumer’s energetic reserves while foraging and reproducing on a landscape with resources that range from uniformly distributed to highly clustered. First, we show that the selection of alternative life histories depends on both the mean and variance of resource availability, where depleted and more stochastic environments promote investment in each reproductive event at the expense of future fitness as well as more investment per offspring. We then show that if resource variance scales with body size due to landscape clustering, consumers that forage for clustered foods are susceptible to strong Allee effects, increasing extinction risk. Finally, we show that the proposed relationship between resource distributions, consumer body size, and emergent demographic risk offers key ecological insights into the evolution of large-bodied grazing herbivores from small-bodied browsing ancestors.
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spelling pubmed-69833982020-01-30 Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing Bhat, Uttam Kempes, Christopher P. Yeakel, Justin D. Proc Natl Acad Sci U S A Biological Sciences Consumers face numerous risks that can be minimized by incorporating different life-history strategies. How much and when a consumer adds to its energetic reserves or invests in reproduction are key behavioral and physiological adaptations that structure communities. Here we develop a theoretical framework that explicitly accounts for stochastic fluctuations of an individual consumer’s energetic reserves while foraging and reproducing on a landscape with resources that range from uniformly distributed to highly clustered. First, we show that the selection of alternative life histories depends on both the mean and variance of resource availability, where depleted and more stochastic environments promote investment in each reproductive event at the expense of future fitness as well as more investment per offspring. We then show that if resource variance scales with body size due to landscape clustering, consumers that forage for clustered foods are susceptible to strong Allee effects, increasing extinction risk. Finally, we show that the proposed relationship between resource distributions, consumer body size, and emergent demographic risk offers key ecological insights into the evolution of large-bodied grazing herbivores from small-bodied browsing ancestors. National Academy of Sciences 2020-01-21 2019-12-17 /pmc/articles/PMC6983398/ /pubmed/31848238 http://dx.doi.org/10.1073/pnas.1907998117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Bhat, Uttam
Kempes, Christopher P.
Yeakel, Justin D.
Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title_full Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title_fullStr Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title_full_unstemmed Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title_short Scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
title_sort scaling the risk landscape drives optimal life-history strategies and the evolution of grazing
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983398/
https://www.ncbi.nlm.nih.gov/pubmed/31848238
http://dx.doi.org/10.1073/pnas.1907998117
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