Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach

Abstract A complex interplay of biotic and abiotic factors underpins the distribution of species and operates across different levels of biological organization and life history stages. Understanding ecosystem engineer reproductive traits is critical for comprehending and managing the biodiversity-r...

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Autores principales:	Amelia Curd, Aurélien Boyé, Céline Cordier, Fabrice Pernet, Louise B. Firth, Laura E. Bush, Andrew J. Davies, Fernando P. Lima, Claudia Meneghesso, Claudie Quéré, Rui Seabra, Mickaël Vasquez, Stanislas F. Dubois
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4ae075fbe2c84aa7939eda9c5f6f827b
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spelling	oai:doaj.org-article:4ae075fbe2c84aa7939eda9c5f6f827b2021-11-28T12:18:25ZEnvironmental optima for an ecosystem engineer: a multidisciplinary trait-based approach10.1038/s41598-021-02351-72045-2322https://doaj.org/article/4ae075fbe2c84aa7939eda9c5f6f827b2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02351-7https://doaj.org/toc/2045-2322Abstract A complex interplay of biotic and abiotic factors underpins the distribution of species and operates across different levels of biological organization and life history stages. Understanding ecosystem engineer reproductive traits is critical for comprehending and managing the biodiversity-rich habitats they create. Little is known about how the reproduction of the reef-forming worm, Sabellaria alveolata, varies across environmental gradients. By integrating broad-scale environmental data with in-situ physiological data in the form of biochemical traits, we identified and ranked the drivers of intraspecific reproductive trait variability (ITV). ITV was highest in locations with variable environmental conditions, subjected to fluctuating temperature and hydrodynamic conditions. Our trait selection pointed to poleward sites being the most physiologically stressful, with low numbers of irregularly shaped eggs suggesting potentially reduced reproductive success. Centre-range individuals allocated the most energy to reproduction, with the highest number of intermediate-sized eggs, whilst equatorward sites were the least physiologically stressful, thus confirming the warm-adapted nature of our model organism. Variation in total egg diameter and relative fecundity were influenced by a combination of environmental conditions, which changed depending on the trait and sampling period. An integrated approach involving biochemical and reproductive traits is essential for understanding macro-scale patterns in the face of anthropogenic-induced climate change across environmental and latitudinal gradients.Amelia CurdAurélien BoyéCéline CordierFabrice PernetLouise B. FirthLaura E. BushAndrew J. DaviesFernando P. LimaClaudia MeneghessoClaudie QuéréRui SeabraMickaël VasquezStanislas F. DuboisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amelia Curd Aurélien Boyé Céline Cordier Fabrice Pernet Louise B. Firth Laura E. Bush Andrew J. Davies Fernando P. Lima Claudia Meneghesso Claudie Quéré Rui Seabra Mickaël Vasquez Stanislas F. Dubois Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
description	Abstract A complex interplay of biotic and abiotic factors underpins the distribution of species and operates across different levels of biological organization and life history stages. Understanding ecosystem engineer reproductive traits is critical for comprehending and managing the biodiversity-rich habitats they create. Little is known about how the reproduction of the reef-forming worm, Sabellaria alveolata, varies across environmental gradients. By integrating broad-scale environmental data with in-situ physiological data in the form of biochemical traits, we identified and ranked the drivers of intraspecific reproductive trait variability (ITV). ITV was highest in locations with variable environmental conditions, subjected to fluctuating temperature and hydrodynamic conditions. Our trait selection pointed to poleward sites being the most physiologically stressful, with low numbers of irregularly shaped eggs suggesting potentially reduced reproductive success. Centre-range individuals allocated the most energy to reproduction, with the highest number of intermediate-sized eggs, whilst equatorward sites were the least physiologically stressful, thus confirming the warm-adapted nature of our model organism. Variation in total egg diameter and relative fecundity were influenced by a combination of environmental conditions, which changed depending on the trait and sampling period. An integrated approach involving biochemical and reproductive traits is essential for understanding macro-scale patterns in the face of anthropogenic-induced climate change across environmental and latitudinal gradients.
format	article
author	Amelia Curd Aurélien Boyé Céline Cordier Fabrice Pernet Louise B. Firth Laura E. Bush Andrew J. Davies Fernando P. Lima Claudia Meneghesso Claudie Quéré Rui Seabra Mickaël Vasquez Stanislas F. Dubois
author_facet	Amelia Curd Aurélien Boyé Céline Cordier Fabrice Pernet Louise B. Firth Laura E. Bush Andrew J. Davies Fernando P. Lima Claudia Meneghesso Claudie Quéré Rui Seabra Mickaël Vasquez Stanislas F. Dubois
author_sort	Amelia Curd
title	Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
title_short	Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
title_full	Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
title_fullStr	Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
title_full_unstemmed	Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
title_sort	environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4ae075fbe2c84aa7939eda9c5f6f827b
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Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach

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