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| Raoux, Aurore; Tecchio, Samuele; Pezy, Jean-philippe; Lassalle, Geraldine; Degraer, Steven; Wilhelmsson, Dan; Cachera, Marie; Ernande, Bruno; Le Guen, Camille; Haraldsson, Matilda; Grangere, Karine; Le Loc'H, Francois; Dauvin, Jean-claude; Niquil, Nathalie. |
| As part of the energy transition, the French government is planning the construction of three offshore wind farms in Normandy (Bay of Seine and eastern part of the English Channel, north-western France) in the next years. These offshore wind farms will be integrated into an ecosystem already facing multiple anthropogenic disturbances such as maritime transport, fisheries, oyster and mussel farming, and sediment dredging. Currently no integrated, ecosystem-based study on the effects of the construction and exploitation of offshore wind farms exists, where biological approaches generally focused on the conservation of some valuable species or groups of species. Complementary trophic web modelling tools were applied to the Bay of Seine ecosystem (to the 50... |
| Tipo: Text |
Palavras-chave: Marine renewable energies; Reef effect; Wind farm; Ecopath with Ecosim; Ecosystem-based approach. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00347/45843/46723.pdf |
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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. |
| 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... |
| Tipo: Text |
Palavras-chave: Cumulative impact; Linear inverse modeling; Marine renewable energies; Ecological network analysis; ENA food web. |
| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00658/77012/78274.pdf |
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