Rethinking the nature of intraspecific variability and its consequences on species coexistence
Abstract Intraspecific variability (IV) has been proposed to explain species coexistence in diverse communities. Assuming, sometimes implicitly, that conspecific individuals can perform differently in the same environment and that IV increases niche overlap, previous studies have found contrasting r...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-03-01
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Series: | Ecology and Evolution |
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Online Access: | https://doi.org/10.1002/ece3.9860 |
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author | Camille Girard‐Tercieux Isabelle Maréchaux Adam T. Clark James S. Clark Benoît Courbaud Claire Fortunel Joannès Guillemot Georges Künstler Guerric leMaire Raphaël Pélissier Nadja Rüger Ghislain Vieilledent |
author_facet | Camille Girard‐Tercieux Isabelle Maréchaux Adam T. Clark James S. Clark Benoît Courbaud Claire Fortunel Joannès Guillemot Georges Künstler Guerric leMaire Raphaël Pélissier Nadja Rüger Ghislain Vieilledent |
author_sort | Camille Girard‐Tercieux |
collection | DOAJ |
description | Abstract Intraspecific variability (IV) has been proposed to explain species coexistence in diverse communities. Assuming, sometimes implicitly, that conspecific individuals can perform differently in the same environment and that IV increases niche overlap, previous studies have found contrasting results regarding the effect of IV on species coexistence. We aim at showing that the large IV observed in data does not mean that conspecific individuals are necessarily different in their response to the environment and that the role of high‐dimensional environmental variation in determining IV has largely remained unexplored in forest plant communities. We first used a simulation experiment where an individual attribute is derived from a high‐dimensional model, representing “perfect knowledge” of individual response to the environment, to illustrate how large observed IV can result from “imperfect knowledge” of the environment. Second, using growth data from clonal Eucalyptus plantations in Brazil, we estimated a major contribution of the environment in determining individual growth. Third, using tree growth data from long‐term tropical forest inventories in French Guiana, Panama and India, we showed that tree growth in tropical forests is structured spatially and that despite a large observed IV at the population level, conspecific individuals perform more similarly locally than compared with heterospecific individuals. As the number of environmental dimensions that are well quantified at fine scale is generally lower than the actual number of dimensions influencing individual attributes, a great part of observed IV might be represented as random variation across individuals when in fact it is environmentally driven. This mis‐representation has important consequences for inference about community dynamics. We emphasize that observed IV does not necessarily impact species coexistence per se but can reveal species response to high‐dimensional environment, which is consistent with niche theory and the observation of the many differences between species in nature. |
first_indexed | 2024-04-09T20:58:05Z |
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institution | Directory Open Access Journal |
issn | 2045-7758 |
language | English |
last_indexed | 2024-04-09T20:58:05Z |
publishDate | 2023-03-01 |
publisher | Wiley |
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series | Ecology and Evolution |
spelling | doaj.art-f545d491e15b41088b54bd3add90ab7d2023-03-29T14:14:47ZengWileyEcology and Evolution2045-77582023-03-01133n/an/a10.1002/ece3.9860Rethinking the nature of intraspecific variability and its consequences on species coexistenceCamille Girard‐Tercieux0Isabelle Maréchaux1Adam T. Clark2James S. Clark3Benoît Courbaud4Claire Fortunel5Joannès Guillemot6Georges Künstler7Guerric leMaire8Raphaël Pélissier9Nadja Rüger10Ghislain Vieilledent11AMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier FranceAMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier FranceInstitute of Biology Karl‐Franzens University of Graz Graz AustriaNicholas School of the Environment Duke University Durham North Carolina USAUniv. Grenoble Alpes, INRAE, LESSEM St‐Martin‐d'Hères FranceAMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier FranceEco&Sols, Univ. Montpellier, CIRAD, INRAE, IRD, Institut Agro Montpellier FranceUniv. Grenoble Alpes, INRAE, LESSEM St‐Martin‐d'Hères FranceEco&Sols, Univ. Montpellier, CIRAD, INRAE, IRD, Institut Agro Montpellier FranceAMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier FranceDepartment of Economics University of Leipzig Leipzig GermanyAMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD Montpellier FranceAbstract Intraspecific variability (IV) has been proposed to explain species coexistence in diverse communities. Assuming, sometimes implicitly, that conspecific individuals can perform differently in the same environment and that IV increases niche overlap, previous studies have found contrasting results regarding the effect of IV on species coexistence. We aim at showing that the large IV observed in data does not mean that conspecific individuals are necessarily different in their response to the environment and that the role of high‐dimensional environmental variation in determining IV has largely remained unexplored in forest plant communities. We first used a simulation experiment where an individual attribute is derived from a high‐dimensional model, representing “perfect knowledge” of individual response to the environment, to illustrate how large observed IV can result from “imperfect knowledge” of the environment. Second, using growth data from clonal Eucalyptus plantations in Brazil, we estimated a major contribution of the environment in determining individual growth. Third, using tree growth data from long‐term tropical forest inventories in French Guiana, Panama and India, we showed that tree growth in tropical forests is structured spatially and that despite a large observed IV at the population level, conspecific individuals perform more similarly locally than compared with heterospecific individuals. As the number of environmental dimensions that are well quantified at fine scale is generally lower than the actual number of dimensions influencing individual attributes, a great part of observed IV might be represented as random variation across individuals when in fact it is environmentally driven. This mis‐representation has important consequences for inference about community dynamics. We emphasize that observed IV does not necessarily impact species coexistence per se but can reveal species response to high‐dimensional environment, which is consistent with niche theory and the observation of the many differences between species in nature.https://doi.org/10.1002/ece3.9860competitionenvironmental variationhigh‐dimensional nicheindividual variationintraspecific variabilityspatial autocorrelation |
spellingShingle | Camille Girard‐Tercieux Isabelle Maréchaux Adam T. Clark James S. Clark Benoît Courbaud Claire Fortunel Joannès Guillemot Georges Künstler Guerric leMaire Raphaël Pélissier Nadja Rüger Ghislain Vieilledent Rethinking the nature of intraspecific variability and its consequences on species coexistence Ecology and Evolution competition environmental variation high‐dimensional niche individual variation intraspecific variability spatial autocorrelation |
title | Rethinking the nature of intraspecific variability and its consequences on species coexistence |
title_full | Rethinking the nature of intraspecific variability and its consequences on species coexistence |
title_fullStr | Rethinking the nature of intraspecific variability and its consequences on species coexistence |
title_full_unstemmed | Rethinking the nature of intraspecific variability and its consequences on species coexistence |
title_short | Rethinking the nature of intraspecific variability and its consequences on species coexistence |
title_sort | rethinking the nature of intraspecific variability and its consequences on species coexistence |
topic | competition environmental variation high‐dimensional niche individual variation intraspecific variability spatial autocorrelation |
url | https://doi.org/10.1002/ece3.9860 |
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