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The importance of inter‐individual variation in predicting species' responses to global change drivers

Inter‐individual variation in phenotypic traits has long been considered as “noise” rather than meaningful phenotypic variation, with biological studies almost exclusively generating and reporting average responses for populations and species’ average responses. Here, we compare the use of an indivi...

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Autores principales: Guscelli, Ella, Spicer, John I., Calosi, Piero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476784/
https://www.ncbi.nlm.nih.gov/pubmed/31031908
http://dx.doi.org/10.1002/ece3.4810
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author Guscelli, Ella
Spicer, John I.
Calosi, Piero
author_facet Guscelli, Ella
Spicer, John I.
Calosi, Piero
author_sort Guscelli, Ella
collection PubMed
description Inter‐individual variation in phenotypic traits has long been considered as “noise” rather than meaningful phenotypic variation, with biological studies almost exclusively generating and reporting average responses for populations and species’ average responses. Here, we compare the use of an individual approach in the investigation of extracellular acid–base regulation by the purple sea urchin Paracentrotus lividus challenged with elevated pCO(2) and temperature conditions, with a more traditional approach which generates and formally compares mean values. We detected a high level of inter‐individual variation in acid–base regulation parameters both within and between treatments. Comparing individual and mean values for the first (apparent) dissociation constant of the coelomic fluid for individual sea urchins resulted in substantially different (calculated) acid–base parameters, and models with stronger statistical support. While the approach using means showed that coelomic pCO(2) was influenced by seawater pCO(2) and temperature combined, the individual approach indicated that it was in fact seawater temperature in isolation that had a significant effect on coelomic pCO(2). On the other hand, coelomic [HCO(3) (−)] appeared to be primarily affected by seawater pCO(2), and less by seawater temperature, irrespective of the approach adopted. As a consequence, we suggest that individual variation in physiological traits needs to be considered, and where appropriate taken into account, in global change biology studies. It could be argued that an approach reliant on mean values is a “procedural error.” It produces an artefact, that is, a population's mean phenotype. While this may allow us to conduct relatively simple statistical analyses, it will not in all cases reflect, or take into account, the degree of (physiological) diversity present in natural populations.
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spelling pubmed-64767842019-04-26 The importance of inter‐individual variation in predicting species' responses to global change drivers Guscelli, Ella Spicer, John I. Calosi, Piero Ecol Evol Original Research Inter‐individual variation in phenotypic traits has long been considered as “noise” rather than meaningful phenotypic variation, with biological studies almost exclusively generating and reporting average responses for populations and species’ average responses. Here, we compare the use of an individual approach in the investigation of extracellular acid–base regulation by the purple sea urchin Paracentrotus lividus challenged with elevated pCO(2) and temperature conditions, with a more traditional approach which generates and formally compares mean values. We detected a high level of inter‐individual variation in acid–base regulation parameters both within and between treatments. Comparing individual and mean values for the first (apparent) dissociation constant of the coelomic fluid for individual sea urchins resulted in substantially different (calculated) acid–base parameters, and models with stronger statistical support. While the approach using means showed that coelomic pCO(2) was influenced by seawater pCO(2) and temperature combined, the individual approach indicated that it was in fact seawater temperature in isolation that had a significant effect on coelomic pCO(2). On the other hand, coelomic [HCO(3) (−)] appeared to be primarily affected by seawater pCO(2), and less by seawater temperature, irrespective of the approach adopted. As a consequence, we suggest that individual variation in physiological traits needs to be considered, and where appropriate taken into account, in global change biology studies. It could be argued that an approach reliant on mean values is a “procedural error.” It produces an artefact, that is, a population's mean phenotype. While this may allow us to conduct relatively simple statistical analyses, it will not in all cases reflect, or take into account, the degree of (physiological) diversity present in natural populations. John Wiley and Sons Inc. 2019-03-28 /pmc/articles/PMC6476784/ /pubmed/31031908 http://dx.doi.org/10.1002/ece3.4810 Text en © 2019 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
Guscelli, Ella
Spicer, John I.
Calosi, Piero
The importance of inter‐individual variation in predicting species' responses to global change drivers
title The importance of inter‐individual variation in predicting species' responses to global change drivers
title_full The importance of inter‐individual variation in predicting species' responses to global change drivers
title_fullStr The importance of inter‐individual variation in predicting species' responses to global change drivers
title_full_unstemmed The importance of inter‐individual variation in predicting species' responses to global change drivers
title_short The importance of inter‐individual variation in predicting species' responses to global change drivers
title_sort importance of inter‐individual variation in predicting species' responses to global change drivers
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476784/
https://www.ncbi.nlm.nih.gov/pubmed/31031908
http://dx.doi.org/10.1002/ece3.4810
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