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Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model

Animals show a vast array of phenotypic traits in time and space. Such variation patterns have traditionally been described as ecogeographical rules; for example, the tendency of size and clutch size to increase with latitude (Bergmann's and Lack's rules, respectively). Despite considerabl...

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Autores principales: Mariño, Joany, Dufour, Suzanne C, Hurford, Amy, Récapet, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064112/
https://www.ncbi.nlm.nih.gov/pubmed/37006337
http://dx.doi.org/10.1093/conphys/coad013
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author Mariño, Joany
Dufour, Suzanne C
Hurford, Amy
Récapet, Charlotte
author_facet Mariño, Joany
Dufour, Suzanne C
Hurford, Amy
Récapet, Charlotte
author_sort Mariño, Joany
collection PubMed
description Animals show a vast array of phenotypic traits in time and space. Such variation patterns have traditionally been described as ecogeographical rules; for example, the tendency of size and clutch size to increase with latitude (Bergmann's and Lack's rules, respectively). Despite considerable research into these variation patterns and their consequences for biodiversity and conservation, the processes behind trait variation remain controversial. Here, we show how food variability, largely set by climate and weather, can drive interspecific trait variation by determining individual energy input and allocation trade-offs. Using a dynamic energy budget (DEB) model, we simulated different food environments, as well as interspecific variability in the parameters for energy assimilation, mobilization and allocation to soma. We found that interspecific variability is greater when the resource is non-limiting in both constant and seasonal environments. Our findings further show that individuals can reach larger biomass and greater reproductive output in a seasonal environment than in a constant environment of equal average resource due to the peaks of food surplus. Our results agree with the classical patterns of interspecific trait variation and provide a mechanistic understanding that supports recent hypotheses which explain them: the resource and the eNPP (net primary production during the growing season) rules. Due to the current alterations to ecosystems and communities, disentangling the mechanisms of trait variation is increasingly important to understand and predict biodiversity dynamics under climate change, as well as to improve conservation strategies.
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spelling pubmed-100641122023-04-01 Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model Mariño, Joany Dufour, Suzanne C Hurford, Amy Récapet, Charlotte Conserv Physiol Research Article Animals show a vast array of phenotypic traits in time and space. Such variation patterns have traditionally been described as ecogeographical rules; for example, the tendency of size and clutch size to increase with latitude (Bergmann's and Lack's rules, respectively). Despite considerable research into these variation patterns and their consequences for biodiversity and conservation, the processes behind trait variation remain controversial. Here, we show how food variability, largely set by climate and weather, can drive interspecific trait variation by determining individual energy input and allocation trade-offs. Using a dynamic energy budget (DEB) model, we simulated different food environments, as well as interspecific variability in the parameters for energy assimilation, mobilization and allocation to soma. We found that interspecific variability is greater when the resource is non-limiting in both constant and seasonal environments. Our findings further show that individuals can reach larger biomass and greater reproductive output in a seasonal environment than in a constant environment of equal average resource due to the peaks of food surplus. Our results agree with the classical patterns of interspecific trait variation and provide a mechanistic understanding that supports recent hypotheses which explain them: the resource and the eNPP (net primary production during the growing season) rules. Due to the current alterations to ecosystems and communities, disentangling the mechanisms of trait variation is increasingly important to understand and predict biodiversity dynamics under climate change, as well as to improve conservation strategies. Oxford University Press 2023-03-30 /pmc/articles/PMC10064112/ /pubmed/37006337 http://dx.doi.org/10.1093/conphys/coad013 Text en © The Author(s) 2023. Published by Oxford University Press and the Society for Experimental Biology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mariño, Joany
Dufour, Suzanne C
Hurford, Amy
Récapet, Charlotte
Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title_full Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title_fullStr Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title_full_unstemmed Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title_short Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
title_sort resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064112/
https://www.ncbi.nlm.nih.gov/pubmed/37006337
http://dx.doi.org/10.1093/conphys/coad013
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