@article {7091,
	title = {Isotopic analyses, a good tool to validate models in the context of Marine Renewable Energy development and cumulative impacts},
	journal = {Estuarine, Coastal and Shelf Science},
	volume = {237},
	year = {2020},
	abstract = {As part of the energy transition, the French government is planning Offshore Wind Farm (OWF) constructions in the next decades. An integrated ecosystem approach of two future OWF sites of the Eastern English Channel (Courseulles-sur-mer and Dieppe-Le Tr{\'e}port) was developed to model the marine ecosystems before the OWF implementation. Such ecosystem models allow simulating the possible reef and reserve effects associated to the presence of the farm, and to character the overall changes in the food-web functioning. This holistic view of OWF effects could be replicated on other sites and form the basis of an ecosystem based management of marine renewable energies. However, to use these models for management purpose, they need to be validated. In order to do so, stable isotope ratios of nitrogen were used for determining the accuracy of the effective trophic levels computed in these two models. Results showed that trophic levels estimated by the two models were consistent with the trophic levels estimated by the independent isotopic data. In the context of OWF development and cumulative impacts analysis, this step of validation of the models is essential for developing their use by management actors and policy makers. {\textcopyright} 2020 Elsevier Ltd},
	keywords = {alternative energy, detection method, Dieppe, Ecopath with Ecosim, ecosystem approach, English Channel, food web, France, Isotopic nitrogen analysis, marine ecosystem, model validation, Normandie, Offshore wind farm, policy making, Seine Maritime, trophic level, wind farm},
	issn = {02727714 (ISSN)},
	doi = {10.1016/j.ecss.2020.106690},
	author = {Raoux, A. and Pezy, J.-P. and Ernande, B. and Nathalie Niquil and Dauvin, J.-C. and Granger{\'e}, K.}
}
@article {7092,
	title = {An open-source framework to model present and future marine species distributions at local scale},
	journal = {Ecological Informatics},
	volume = {59},
	year = {2020},
	abstract = {Species Distribution Models (SDMs) are useful tools to project potential future species distributions under climate change scenarios. Despite the ability to run SDMs in recent and reliable tools, there are some misuses and proxies that are widely practiced and rarely addressed together, particularly when dealing with marine species. In this paper, we propose an open-source framework that includes (i) a procedure for homogenizing occurrence data to reduce the influence of sampling bias, (ii) a procedure for generating pseudo-absences, (iii) a hierarchical-filter approach, (iv) full incorporation of the third dimension by considering climatic variables at multiple depths and (v) building of maps that predict current and potential future ranges of marine species. This framework is available for non-modeller ecologists interested in investigating future species ranges with a user-friendly script. We investigated the robustness of the framework by applying it to marine species of the Eastern English Channel. Projections were built for the middle and the end of this century under RCP2.6 and RCP8.5 scenarios. {\textcopyright} 2020 Elsevier B.V.},
	keywords = {Climate Change, ecological modeling, English Channel, filter, future prospect, hierarchical system, marine ecosystem, sampling, scenario analysis, species diversity},
	issn = {15749541},
	doi = {10.1016/j.ecoinf.2020.101130},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086876945\&doi=10.1016\%2fj.ecoinf.2020.101130\&partnerID=40\&md5=0a5c308eac10a69880027d5de2e6fe98},
	author = {Ben Rais Lasram, F. and Hattab, T. and Nogues, Quentin and Beaugrand, G. and Dauvin, J.C. and Halouani, G. and Le Loc{\textquoteright}h, F. and Nathalie Niquil and Leroy, B.}
}
