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Evolutionary simulations clarify and reconcile biodiversity-disturbance models

There is significant geographic variation in species richness. However, the nature of the underlying relationships, such as that between species richness and environmental stability, remains unclear. The stability-time hypothesis suggests that environmental instability reduces species richness by su...

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Autores principales: Furness, Euan N., Garwood, Russell J., Mannion, Philip D., Sutton, Mark D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059584/
https://www.ncbi.nlm.nih.gov/pubmed/33878917
http://dx.doi.org/10.1098/rspb.2021.0240
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author Furness, Euan N.
Garwood, Russell J.
Mannion, Philip D.
Sutton, Mark D.
author_facet Furness, Euan N.
Garwood, Russell J.
Mannion, Philip D.
Sutton, Mark D.
author_sort Furness, Euan N.
collection PubMed
description There is significant geographic variation in species richness. However, the nature of the underlying relationships, such as that between species richness and environmental stability, remains unclear. The stability-time hypothesis suggests that environmental instability reduces species richness by suppressing speciation and increasing extinction risk. By contrast, the patch-mosaic hypothesis suggests that small-scale environmental instability can increase species richness by providing a steady supply of non-equilibrium environments. Although these hypotheses are often applied to different time scales, their core mechanisms are in conflict. Reconciling these apparently competing hypotheses is key to understanding how environmental conditions shape the distribution of biodiversity. Here, we use REvoSim, an individual-based, eco-evolutionary system, to model the evolution of sessile organisms in environments with varying magnitudes and scales of environmental instability. We demonstrate that when environments have substantial permanent heterogeneity, a high level of localized environmental instability reduces biodiversity, whereas in environments lacking permanent heterogeneity, high levels of localized instability increase biodiversity. By contrast, broad-scale environmental instability, acting on the same time scale, invariably reduces biodiversity. Our results provide a new view of the biodiversity–disturbance relationship that reconciles contrasting hypotheses within a single model and implies constraints on the environmental conditions under which those hypotheses apply. These constraints can inform attempts to conserve adaptive potential in different environments during the current biodiversity crisis.
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spelling pubmed-80595842021-05-17 Evolutionary simulations clarify and reconcile biodiversity-disturbance models Furness, Euan N. Garwood, Russell J. Mannion, Philip D. Sutton, Mark D. Proc Biol Sci Ecology There is significant geographic variation in species richness. However, the nature of the underlying relationships, such as that between species richness and environmental stability, remains unclear. The stability-time hypothesis suggests that environmental instability reduces species richness by suppressing speciation and increasing extinction risk. By contrast, the patch-mosaic hypothesis suggests that small-scale environmental instability can increase species richness by providing a steady supply of non-equilibrium environments. Although these hypotheses are often applied to different time scales, their core mechanisms are in conflict. Reconciling these apparently competing hypotheses is key to understanding how environmental conditions shape the distribution of biodiversity. Here, we use REvoSim, an individual-based, eco-evolutionary system, to model the evolution of sessile organisms in environments with varying magnitudes and scales of environmental instability. We demonstrate that when environments have substantial permanent heterogeneity, a high level of localized environmental instability reduces biodiversity, whereas in environments lacking permanent heterogeneity, high levels of localized instability increase biodiversity. By contrast, broad-scale environmental instability, acting on the same time scale, invariably reduces biodiversity. Our results provide a new view of the biodiversity–disturbance relationship that reconciles contrasting hypotheses within a single model and implies constraints on the environmental conditions under which those hypotheses apply. These constraints can inform attempts to conserve adaptive potential in different environments during the current biodiversity crisis. The Royal Society 2021-04-28 2021-04-21 /pmc/articles/PMC8059584/ /pubmed/33878917 http://dx.doi.org/10.1098/rspb.2021.0240 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Ecology
Furness, Euan N.
Garwood, Russell J.
Mannion, Philip D.
Sutton, Mark D.
Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title_full Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title_fullStr Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title_full_unstemmed Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title_short Evolutionary simulations clarify and reconcile biodiversity-disturbance models
title_sort evolutionary simulations clarify and reconcile biodiversity-disturbance models
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059584/
https://www.ncbi.nlm.nih.gov/pubmed/33878917
http://dx.doi.org/10.1098/rspb.2021.0240
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