Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis

In an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices offer the opportunity to study those interactions at the ecosystem level. However, ENA in...

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Autores principales:	Quentin Nogues, Aurore Raoux, Emma Araignous, Aurélie Chaalali, Tarek Hattab, Boris Leroy, Frida Ben Rais Lasram, Valérie David, François Le Loc'h, Jean-Claude Dauvin, Nathalie Niquil
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Cumulative impact Linear inverse modeling Marine renewable energies Ecological network analysis ENA food web Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8a407f7e87274889b6bab0bdd19a0bf1
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id	oai:doaj.org-article:8a407f7e87274889b6bab0bdd19a0bf1
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spelling	oai:doaj.org-article:8a407f7e87274889b6bab0bdd19a0bf12021-12-01T04:35:58ZCumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis1470-160X10.1016/j.ecolind.2020.107128https://doaj.org/article/8a407f7e87274889b6bab0bdd19a0bf12021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20310670https://doaj.org/toc/1470-160XIn an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices offer the opportunity to study those interactions at the ecosystem level. However, ENA indices have never been used to test the incidence of cumulative drivers. The present study uses models combining the effects of (i) the reef caused by the future offshore wind farm of Courseulles-sur-Mer and (ii) climate change on species distribution, to test the response of multiple ENA indices. ENA indices proved sensitive to this cumulative impact, displaying a wide variety of cumulative effects. They were also very powerful to characterize the role of the cumulative impact on ecosystem functioning. These results demonstrate the capacity of ENA indices to describe and understand cumulative effects at the ecosystem scale. Using a sensitivity analysis approach, this study shows that ENA indices could be viable tools for managers. To help them in their tasks, the next step could be to link ecosystem services to ENA indices for a more practical use.Quentin NoguesAurore RaouxEmma AraignousAurélie ChaalaliTarek HattabBoris LeroyFrida Ben Rais LasramValérie DavidFrançois Le Loc'hJean-Claude DauvinNathalie NiquilElsevierarticleCumulative impactLinear inverse modelingMarine renewable energiesEcological network analysisENA food webEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107128- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cumulative impact Linear inverse modeling Marine renewable energies Ecological network analysis ENA food web Ecology QH540-549.5
spellingShingle	Cumulative impact Linear inverse modeling Marine renewable energies Ecological network analysis ENA food web Ecology QH540-549.5 Quentin Nogues Aurore Raoux Emma Araignous Aurélie Chaalali Tarek Hattab Boris Leroy Frida Ben Rais Lasram Valérie David François Le Loc'h Jean-Claude Dauvin Nathalie Niquil Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
description	In an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices offer the opportunity to study those interactions at the ecosystem level. However, ENA indices have never been used to test the incidence of cumulative drivers. The present study uses models combining the effects of (i) the reef caused by the future offshore wind farm of Courseulles-sur-Mer and (ii) climate change on species distribution, to test the response of multiple ENA indices. ENA indices proved sensitive to this cumulative impact, displaying a wide variety of cumulative effects. They were also very powerful to characterize the role of the cumulative impact on ecosystem functioning. These results demonstrate the capacity of ENA indices to describe and understand cumulative effects at the ecosystem scale. Using a sensitivity analysis approach, this study shows that ENA indices could be viable tools for managers. To help them in their tasks, the next step could be to link ecosystem services to ENA indices for a more practical use.
format	article
author	Quentin Nogues Aurore Raoux Emma Araignous Aurélie Chaalali Tarek Hattab Boris Leroy Frida Ben Rais Lasram Valérie David François Le Loc'h Jean-Claude Dauvin Nathalie Niquil
author_facet	Quentin Nogues Aurore Raoux Emma Araignous Aurélie Chaalali Tarek Hattab Boris Leroy Frida Ben Rais Lasram Valérie David François Le Loc'h Jean-Claude Dauvin Nathalie Niquil
author_sort	Quentin Nogues
title	Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
title_short	Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
title_full	Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
title_fullStr	Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
title_full_unstemmed	Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
title_sort	cumulative effects of marine renewable energy and climate change on ecosystem properties: sensitivity of ecological network analysis
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8a407f7e87274889b6bab0bdd19a0bf1
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Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis

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