FN Archimer Export Format
PT J
TI Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis
BT 
AF 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
AS 1:1;2:1,2;3:1,3;4:1;5:4,5;6:6;7:4;8:7;9:8;10:2;11:1;
FF 1:;2:;3:;4:;5:PDG-RBE-MARBEC-LHM;6:;7:;8:;9:;10:;11:;
C1 Normandie Université, UNICAEN, Laboratoire Biologie des ORganismes et Ecosystèmes Aquatiques, FRE 2030 BOREA (MNHN, UPMC, UCBN, CNRS, IRD-207) CS 14032, 14000 Caen, France
   Normandie Université, UNICAEN, UNIROUEN, Laboratoire Morphodynamique Continentale et Côtière, CNRS UMR 6143 M2C, 24 rue des Tilleuls, 14000 Caen, France
   France Energies Marines ITE-EMR, 525 avenue Alexis de Rochon, 29280 Plouzané, France
   Univ. Littoral Côte d’Opale, Univ. Lille, CNRS, UMR 8187 LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France
   MARBEC, Université Montpellier, CNRS, Ifremer, IRD, Avenue Jean Monnet CS 30171, Sète 34203, France
   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
   Université de Bordeaux, CNRS, UMR 5805 EPOC, 2 Rue du Professeur Jolyet, 33120 Arcachon, France
   IRD, Univ Brest, CNRS, Ifremer, UMR 6536 LEMAR, F-29280 Plouzane, France
C2 UNIV CAEN NORMANDIE, FRANCE
   UNIV CAEN NORMANDIE, FRANCE
   FRANCE ENERGIES MARINES (FEM), FRANCE
   UNIV LITTORAL COTE D'OPALE, FRANCE
   IFREMER, FRANCE
   UNIV SORBONNE, FRANCE
   UNIV BORDEAUX, FRANCE
   IRD, FRANCE
SI SETE
SE PDG-RBE-MARBEC-LHM
UM LEMAR
   MARBEC
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-p187
   copubli-univ-france
IF 6.263
TC 24
UR https://archimer.ifremer.fr/doc/00658/77012/78274.pdf
   https://archimer.ifremer.fr/doc/00658/77012/78275.docx
LA English
DT Article
DE ;Cumulative impact;Linear inverse modeling;Marine renewable energies;Ecological network analysis;ENA food web
AB 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. 
PY 2021
PD FEB
SO Ecological Indicators
SN 1470-160X
PU Elsevier BV
VL 121
UT 000604891100004
DI 10.1016/j.ecolind.2020.107128
ID 77012
ER

EF