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

Type Article
Date 2021-02
Language English
Author(s) Nogues Quentin1, Raoux Aurore1, 2, Araignous Emma1, 3, Chaalali Aurelie1, Hattab Tarek4, 5, Leroy Boris6, Ben Rais Lasram Frida4, David Valérie7, Le Loch Francois8, Dauvin Jean-Claude2, Niquil Nathalie1
Affiliation(s) 1 : Normandie Université, UNICAEN, Laboratoire Biologie des ORganismes et Ecosystèmes Aquatiques, FRE 2030 BOREA (MNHN, UPMC, UCBN, CNRS, IRD-207) CS 14032, 14000 Caen, France
2 : Normandie Université, UNICAEN, UNIROUEN, Laboratoire Morphodynamique Continentale et Côtière, CNRS UMR 6143 M2C, 24 rue des Tilleuls, 14000 Caen, France
3 : France Energies Marines ITE-EMR, 525 avenue Alexis de Rochon, 29280 Plouzané, France
4 : Univ. Littoral Côte d’Opale, Univ. Lille, CNRS, UMR 8187 LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France
5 : MARBEC, Université Montpellier, CNRS, Ifremer, IRD, Avenue Jean Monnet CS 30171, Sète 34203, France
6 : Sorbonne Université, Laboratoire Biologie des ORganismes et Ecosystèmes Aquatiques, FRE 2030 BOREA (MNHN, UPMC, UCBN, CNRS, IRD-207), 43 Rue Cuvier, CP26, 75005 Paris, France
7 : Université de Bordeaux, CNRS, UMR 5805 EPOC, 2 Rue du Professeur Jolyet, 33120 Arcachon, France
8 : IRD, Univ Brest, CNRS, Ifremer, UMR 6536 LEMAR, F-29280 Plouzane, France
Source Ecological Indicators (1470-160X) (Elsevier BV), 2021-02 , Vol. 121 , P. 107128 (13p.)
DOI 10.1016/j.ecolind.2020.107128
WOS© Times Cited 2
Keyword(s) Cumulative impact, Linear inverse modeling, Marine renewable energies, Ecological network analysis, ENA food web
Abstract

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.

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Nogues Quentin, Raoux Aurore, Araignous Emma, Chaalali Aurelie, Hattab Tarek, Leroy Boris, Ben Rais Lasram Frida, David Valérie, Le Loch Francois, Dauvin Jean-Claude, Niquil Nathalie (2021). Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis. Ecological Indicators, 121, 107128 (13p.). Publisher's official version : https://doi.org/10.1016/j.ecolind.2020.107128 , Open Access version : https://archimer.ifremer.fr/doc/00658/77012/