@article {Fath20191,
	title = {Ecological network analysis metrics: The need for an entire ecosystem approach in management and policy},
	journal = {Ocean and Coastal Management},
	volume = {174},
	year = {2019},
	note = {cited By 8},
	pages = {1-14},
	publisher = {Elsevier Ltd},
	abstract = {In this paper, we identified seven ecological network analysis (ENA) metrics that, in our opinion, have high potential to provide useful and practical information for environmental decision-makers and stakeholders. Measurement and quantification of the network indicators requires that an ecosystem level assessment is implemented. The ENA metrics convey the status of the ecological system state variables, and mostly, the flows and relations between the various nodes of the network. The seven metrics are: 1) Average Path Length (APL), 2) Finn Cycling Index (FCI), 3) Mean Trophic level (MTL), 4) Detritivory to Herbivory ratio (D:H), 5) Keystoneness, 6) Structural Information (SI), and 7) Flow-based Information indices. The procedure for calculating each metric is detailed along with a short evaluation of their potential assessment of environmental status. {\textcopyright} 2019 Elsevier Ltd},
	keywords = {coastal zone, Cycling, Decision making, ecological approach, Ecological network analysis, ecosystem approach, ecosystem management, Ecosystems, environmental policy, food web, Food webs, Marine and coastal environments, Marine environment, network analysis, policy implementation, stakeholder, Trophic length},
	issn = {09645691},
	doi = {10.1016/j.ocecoaman.2019.03.007},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0964569118305969},
	author = {Fath, B.D. and H Asmus and R. Asmus and Baird, D. and Borrett, S.R. and de Jonge, V.N. and Ludovisi, A. and Nathalie Niquil and Scharler, U.M. and Sch{\"u}ckel, U. and Wolff, M.}
}
@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 {Raoux201811,
	title = {Assessing cumulative socio-ecological impacts of offshore wind farm development in the Bay of Seine (English Channel)},
	journal = {Marine Policy},
	volume = {89},
	year = {2018},
	note = {cited By 2},
	pages = {11-20},
	publisher = {Elsevier Ltd},
	abstract = {As part of the energy transition, the French government is planning the construction of Offshore Wind Farms (OWFs) in Normandy. These OWFs will be integrated into an ecosystem already facing multiple anthropogenic disturbances. A holistic view of cumulated impacts (OWF construction, global warming and fisheries) were developed on the Courseulles-sur-Mer{\textquoteright} ecosystem through the use of a qualitative mathematical modelling approach. This modelling approach provides the mean to consider alternative hypotheses about how the ecosystem structure and function affects its dynamics. Alternative models were constructed to address the different hypotheses regarding the behaviour of top predator (whether the top predators will be scared away by the OWF or attracted by the reef effect), impacts of global warming and changes in fisheries activities. Key findings from these analyses are that the OWF construction could lead to an increase in benthos species and fish benthos feeders whatever the perturbation scenario, while the predicted response of top predators was ambiguous across all perturbation scenario. Qualitative modelling results can play a vital role in decision making by improving long term planning for the marine environment but also as a tool for communication with the public and so contribute to a better acceptability of the Marine Renewable Energy (MRE) project. {\textcopyright} 2017 Elsevier Ltd},
	keywords = {alternative energy, Bay of Seine, development project, ecological impact, ecosystem management, English Channel, environmental impact assessment, environmental planning, France, Marine environment, offshore structure, qualitative analysis, social impact, wind farm},
	issn = {0308597X},
	doi = {10.1016/j.marpol.2017.12.007},
	url = {https://www.sciencedirect.com/science/article/pii/S0308597X1730444X},
	author = {Raoux, Aurore and Dambacher, J.M. and Pezy, Jean-Philippe and Maz{\'e}, C. and Jean-Claude Dauvin and Nathalie Niquil}
}
