@article {9469,
	title = {Socio-political acceptability of floating offshore wind farms in France: challenges and perspectives for marine governance towards sustainability},
	journal = {Ocean \& Coastal Management},
	volume = {236},
	year = {2023},
	month = {Jan-04-2023},
	pages = {106513},
	issn = {09645691},
	doi = {10.1016/j.ocecoaman.2023.106513},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0964569123000388},
	author = {Fofack-Garcia, Rhoda and Maz{\'e}, Camille and Safi, Georges and Lejart, Morgane and Chauvac, Nathalie and Thermes, Maud and Ragueneau, Olivier and Le Loc{\textquoteright}h, Francois and Nathalie Niquil}
}
@article {9465,
	title = {The usefulness of food web models in the ecosystem services framework: Quantifying, mapping, and linking services supply},
	journal = {Ecosystem Services},
	volume = {63},
	year = {2023},
	month = {Jan-10-2023},
	pages = {101550},
	issn = {22120416},
	doi = {10.1016/j.ecoser.2023.101550},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2212041623000438},
	author = {Nogues, Quentin and Baulaz, Yoann and Clavel, Joanne and Araignous, Emma and Bourdaud, Pierre and Ben Rais Lasram, Frida and Dauvin, Jean-Claude and Girardin, Valerie and Halouani, Ghassen and Le Loc{\textquoteright}h, Francois and Loew-Turbout, Fr{\'e}d{\'e}rique and Raoux, Aurore and Nathalie Niquil}
}
@article {8143,
	title = {Cumulative effects of marine renewable energy and climate change on ecosystem properties: Sensitivity of ecological network analysis},
	journal = {Ecological Indicators},
	volume = {121},
	year = {2021},
	month = {Jan-02-2021},
	pages = {107128},
	issn = {1470160X},
	doi = {10.1016/j.ecolind.2020.107128},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1470160X20310670},
	author = {Nogues, Quentin and Raoux, Aurore and Araignous, Emma and Chaalali, Aur{\'e}lie and Hattab, Tarek and Leroy, Boris and Ben Rais Lasram, Frida and David, Val{\'e}rie and Le Loc{\textquoteright}h, Francois and Dauvin, Jean-Claude and Nathalie Niquil}
}
@article {8837,
	title = {The Merits of Loop Analysis for the Qualitative Modeling of Social-Ecological Systems in Presence of Offshore Wind Farms},
	journal = {Frontiers in Ecology and Evolution},
	volume = {9},
	year = {2021},
	month = {May-02-2022},
	doi = {10.3389/fevo.2021.635798},
	url = {https://www.frontiersin.org/articles/10.3389/fevo.2021.635798/full},
	author = {Nathalie Niquil and Scotti, Marco and Fofack-Garcia, Rhoda and Haraldsson, Matilda and Thermes, Maud and Raoux, Aurore and Le Loc{\textquoteright}h, Francois and Maz{\'e}, Camille}
}
@article {8141,
	title = {An open-source framework to model present and future marine species distributions at local scale},
	journal = {Ecological Informatics},
	volume = {59},
	year = {2020},
	month = {Jan-09-2020},
	pages = {101130},
	issn = {15749541},
	doi = {10.1016/j.ecoinf.2020.101130},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S1574954120300807},
	author = {Ben Rais Lasram, Frida and Hattab, Tarek and Nogues, Quentin and Beaugrand, Gr{\'e}gory and Dauvin, Jean Claude and Halouani, Ghassen and Le Loc{\textquoteright}h, Francois and Nathalie Niquil and Leroy, Boris}
}
@article {7990,
	title = {A spatial food web model to investigate potential spillover effects of a fishery closure in an offshore wind farm},
	journal = {Journal of Marine Systems},
	volume = {212},
	year = {2020},
	month = {Jan-12-2020},
	pages = {103434},
	issn = {09247963},
	doi = {10.1016/j.jmarsys.2020.103434},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0924796320301305},
	author = {Halouani, Ghassen and Villanueva, Ching-Maria and Raoux, Aurore and Dauvin, Jean Claude and Ben Rais Lasram, Frida and Foucher, Eric and Le Loc{\textquoteright}h, Francois and Safi, Georges and Araignous, Emma and Jean-Paul Robin and Nathalie Niquil}
}
@article {Raoux2019728,
	title = {Measuring sensitivity of two OSPAR indicators for a coastal food web model under offshore wind farm construction},
	journal = {Ecological Indicators},
	volume = {96},
	year = {2019},
	note = {cited By 2},
	pages = {728-738},
	publisher = {Elsevier B.V.},
	abstract = {A combination of modelling tools was applied to simulate the impacts of the future Courseulles-sur-mer offshore wind farm (OWF) construction (Bay of Seine, English Channel) on the ecosystem structure and functioning. To do so, food-web models of the ecosystem under three scenarios were constructed to investigate the effect caused by the OWF of added substrate (reef effect), fishing restriction (reserve effect), and their combined effect. Further, Ecological Network Analysis indices and Mean Trophic Level were derived to investigate their suitability for detecting changes in the ecosystem state. Our analysis suggests changes in the ecosystem structure and functioning after the OWF construction, the ecosystem maturity was predicted to increase, but no alterations in its overall resilience capacity. {\textcopyright} 2018 Elsevier Ltd},
	keywords = {Barium compounds, Bay of Seine, coastal zone, Ecological network analysis, Ecopath with Ecosim, ecosystem function, ecosystem structure, Ecosystems, Electric utilities, English Channel, food web, France, in situ measurement, Marine environment, Marine renewable energy, measurement method, model, Offshore wind farms, Reefs, Reserve effect, sensitivity analysis, trophic level, wind farm},
	issn = {1470160X},
	doi = {10.1016/j.ecolind.2018.07.014},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S1470160X1830534X},
	author = {Raoux, Aurore and G{\'e}raldine Lassalle and Pezy, Jean-Philippe and Samuele Tecchio and Safi, Georges and Ernande, Bruno and Maz{\'e}, C. and Le Loc{\textquoteright}h, Francois and Lequesne, Justine and Girardin, Valerie and Jean-Claude Dauvin and Nathalie Niquil}
}
@article {Arroyo20191543,
	title = {Towards coherent GES assessments at sub-regional level: Signs of fisheries expansion processes in the Bay of Biscay using an OSPAR food web indicator, the mean trophic level},
	journal = {ICES Journal of Marine Science},
	volume = {76},
	number = {6},
	year = {2019},
	note = {cited By 1},
	pages = {1543-1553},
	publisher = {Oxford University Press},
	abstract = {Using the Bay of Biscay (BoB) as a case study, we conducted a transnational assessment of the mean trophic level (MTL, Ospar FW4) indicator at sub-regional level, over the last three decades. Our results confirm the apparent recovery of BoB{\textquoteright}s bentho-demersal system, as shown by trends in the MTL indicator based on survey data. However, they also point at a concomitant "fishing through" process where the apparent stability revealed by the MTL indicator based on landed catch data may be masking the expansion of demersal fisheries to deeper waters, and an over-exploitation of resources (particularly abundant pelagic species). Moreover, they show how the combined examination of independent surveys and fishery landings allows the identification of ecological trends in ecosystem studies. In addition, our results confirm that analysing MTL at various threshold levels helps discerning the causality of trends in this indicator, especially if analyses for pelagic and demersal species are run independently. Further studies, at smaller (i.e. local) spatial scales, need to be conducted to ascertain our results and suggest appropriate management strategies aimed at regulating fisheries expansions in the area. {\textcopyright} 2019 International Council for the Exploration of the Sea 2019. All rights reserved.},
	keywords = {Atlantic Ocean, Bay of Biscay, catch statistics, demersal fishery, food web, pelagic fishery, range expansion, trophic level, trophic status},
	issn = {10543139},
	doi = {10.1093/icesjms/fsz023},
	url = {https://academic.oup.com/icesjms/article-abstract/76/6/1543/5369193},
	author = {Arroyo, N.-L. and Safi, Georges and Vouriot, P. and L{\'o}pez-L{\'o}pez, L. and Nathalie Niquil and Le Loc{\textquoteright}h, Francois and Hattab, Tarek and Preciado, I and Coll, M.}
}
@article {5037,
	title = {Benthic and fish aggregation inside an offshore wind farm: Which effects on the trophic web functioning?},
	journal = {Ecological indicators},
	volume = {72},
	year = {2017},
	month = {01/2017},
	pages = {33-46},
	abstract = {<p class="rtejustify">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 km(2) area covered by the wind farm) to analyse the potential impacts of benthos and fish aggregation caused by the introduction of additional hard substrates from the piles and the turbine scour protections. An Ecopath ecosystem model composed of 37 compartments, from phytoplankton to seabirds, was built to describe the situation {\textquoteleft}{\textquoteleft}before{{\textquoteright}{\textquoteright}} the construction of the wind farm. Then, an Ecosim projection over 30 years was performed after increasing the biomass of targeted benthic and fish compartments. Ecological Network Analysis (ENA) indices were calculated for the two periods, {\textquoteleft}{\textquoteleft}before{{\textquoteright}{\textquoteright}} and {\textquoteleft}{\textquoteleft}after{{\textquoteright}{\textquoteright}}, to compare network functioning and the overall structural properties of the food web. Our main results showed (1) that the total ecosystem activity, the overall system omnivory (proportion of generalist feeders), and the recycling increased after the construction of the wind farm; (2) that higher trophic levels such as piscivorous fish species, marine mammals, and seabirds responded positively to the aggregation of biomass on piles and turbine scour protections; and (3) a change in keystone groups after the construction towards more structuring and dominant compartments. Nonetheless, these changes could be considered as limited impacts of the wind farm installation on this coastal trophic web structure and functioning. (C) 2016 Elsevier Ltd. All rights reserved.</p>
},
	issn = {{1470-160X}},
	doi = {10.1016/j.ecolind.2016.07.037},
	author = {Raoux, Aurore and Samuele Tecchio and Pezy, Jean-Philippe and G{\'e}raldine Lassalle and Degraer, Steven and Wilhelmsson, Dan and Cachera, Marie and Ernande, Bruno and Le Guen, Camille and Haraldsson, Matilda and Karine Granger{\'e} and Le Loc{\textquoteright}h, Francois and Dauvin, Jean-Claude and Nathalie Niquil}
}
@article {5038,
	title = {From species distributions to ecosystem structure and function: A methodological perspective},
	journal = {ECOLOGICAL MODELLING},
	volume = {334},
	year = {2016},
	month = {08/2016},
	pages = {78-90},
	abstract = {<p>{As species biology and ecology is profoundly influenced by climate, any climatic alteration may have severe consequences on marine pelagic ecosystems and their food webs. It remains challenging to estimate the influence of climate on both structural and functional properties of food webs. In this study, we proposed an innovative approach to assess the propagating effects of climate change on ecosystem food web. The approach is based on a sensitivity analysis of a food-web model, a linear inverse model using a Monte Carlo method coupled with a Markov Chain, in which changes in the values of parameters are driven by external Ecological Niche Model outputs. Our sensitivity analysis was restricted to parameters regarding a keystone functional group in marine ecosystems, i.e. small pelagic fish. At the ecosystem level, the consequences were evaluated using both structural and functional ecological network indices. The approach is innovative as it is the first time that these three methods were combined to assess ecological network indices sensitivity to future climatic pressure. This coupling method was applied on the French continental shelf of the Bay of Biscay for which a food-web model already exists and where future changes in the distribution of small pelagic fish have already been examined through model building and projections. In response to the sensitivity analysis corresponding to an increase in small pelagics production only, our results suggested a more active system with an intense plankton-small pelagics-seabirds chain and an efficient recycling to maximize detritus use in the system in relation with detritus export. All results combined together seemed to be in favor of a system adapting to sustain the tested increase in production of small pelagic planktivores. Finally, regarding the innovative combination of numerical tools presented, even if further investigations are still necessary to get a more realistic view of cumulative effects resulting from one given pressure (or more) on a food web (e.g. altering different biological compartments at the same time), the Ecological Network Analysis indices values showed a higher variability under the scenarios of change. Our study thus pointed out a promising methodology to assess propagating changes in structural and functional ecosystem properties. (C) 2016 Elsevier B.V. All rights reserved.}</p>
},
	issn = {{0304-3800}},
	doi = {{10.1016/j.ecolmodel.2016.04.022}},
	author = {Chaalali, Aur{\'e}lie and Gr{\'e}gory Beaugrand and Virginie Raybaud and G{\'e}raldine Lassalle and Saint-B{\'e}at, B and Le Loc{\textquoteright}h, Francois and Bopp, Laurent and Samuele Tecchio and Safi, Georges and Chifflet, Marina and Lobry, Jeremy and Nathalie Niquil}
}
@article {5048,
	title = {A new modeling approach to define marine ecosystems food-web status with uncertainty assessment},
	journal = {Progress in Oceanography},
	volume = {135},
	year = {2015},
	pages = {37{\textendash}47},
	author = {Chaalali, Aur{\'e}lie and Saint-B{\'e}at, B and G{\'e}raldine Lassalle and Le Loc{\textquoteright}h, Francois and Samuele Tecchio and Safi, Georges and Savenkoff, Claude and Lobry, Jeremy and Nathalie Niquil}
}
