@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 {vanderHeijden201950,
	title = {Trophic importance of microphytobenthos and bacteria to meiofauna in soft-bottom intertidal habitats: A combined trophic marker approach},
	journal = {Marine Environmental Research},
	volume = {149},
	year = {2019},
	note = {cited By 2},
	pages = {50-66},
	publisher = {Elsevier Ltd},
	abstract = {Meiofauna can play an important role in the carbon fluxes of soft-bottom coastal habitats. Investigation of their feeding behavior and trophic position remains challenging due to their small size. In this study, we determine and compare the food sources used by nematodes and benthic copepods by using stable isotope compositions, fatty acid profiles and compound specific isotope analyses of fatty acids in the mudflats, seagrass beds and a sandflat of the Marennes-Ol{\'e}ron Bay, France, and the Sylt-R{\o}m{\o} Bight, Germany. Suspended particulate organic matter was much more 13C-depleted than other food sources and meiofauna, highlighting its poor role in the different studied habitats. The very low proportions of vascular plant fatty acid markers in meiofauna demonstrated that these consumers did not rely on this food source, either fresh or detrital, even in seagrass beds. The combined use of stable isotopes and fatty acids emphasized microphytobenthos and benthic bacteria as the major food sources of nematodes and benthic copepods. Compound specific analyses of a bacteria marker confirmed that bacteria mostly used microphytobenthos as a substrate. {\textcopyright} 2019 Elsevier Ltd},
	keywords = {Article, Bacillariophyta, bacteria, bacterium, Benthic copepods, Benthic diatoms, Biological materials, biomarker, Biomass, carbon 13, coastal zone, controlled study, Copepoda, delta carbon 13, delta nitrogen 15, Diatom, Ecosystems, fatty acids, Feeding Behavior, food supply, France, Free livings, Freeze Drying, Frisian Islands, Germany, high performance liquid chromatography, intertidal environment, isotope analysis, Isotopes, lipid composition, Marennes-Oleron Bay, Meiofauna, microbial activity, Microphytobenthos, mudflat, Mudflats, Nematoda, nitrogen 15, nonhuman, North Frisian Islands, Nouvelle-Aquitaine, Organic matter, Phytobenthos, Plants (botany), Sandflats, seagrass, Seagrass beds, Sediment, soft-bottom environment, species habitat, substrate, suspended particulate organic matter, Sylt-Romo Bight, trophic environment, Trophic markers, Trophic structure, unclassified drug},
	issn = {01411136},
	doi = {10.1016/j.marenvres.2019.05.014},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0141113618304744},
	author = {van der Heijden, L.H. and Graeve, M. and R. Asmus and Rzeznik-Orignac, J. and Nathalie Niquil and Bernier, Q. and Guillou, G. and H Asmus and Lebreton, B.}
}
@article {6667,
	title = {Dynamics of particulate organic matter composition in coastal systems: A spatio-temporal study at multi-systems scale},
	journal = {Progress in Oceanography},
	volume = {156},
	year = {2017},
	pages = {221-239},
	abstract = {In coastal systems, the multiplicity of sources fueling the pool of particulate organic matter (POM) leads to divergent estimations of POM composition. Eleven systems (two littoral systems, eight embayments and semi-enclosed systems and one estuary) distributed along the three maritime fa{\c c}ades of France were studied for two to eight years in order to quantify the relative contribution of organic matter sources to the surface-water POM pool in coastal systems. This study was based on carbon and nitrogen elemental and isotopic ratios, used for running mixing models. The POM of the estuary is dominated by terrestrial material (93\% on average), whereas the POM of the other systems is dominated by phytoplankton (84\% on average). Nevertheless, for the latter systems, the POM composition varies in space, with (1) systems where POM is highly composed of phytoplankton (>=93\%), (2) systems characterized by a non-negligible contribution of benthic (8{\textendash}19\%) and/or river (7{\textendash}19\%) POM sources, and (3) the Mediterranean systems characterized by the contribution of diazotroph organisms (ca. 14\%). A continent-to-ocean gradient of river and/or benthic POM contribution is observed. Finally, time series reveal (1) seasonal variations of POM composition, (2) differences in seasonality between systems, and (3) an inshore-offshore gradient of seasonality within each system that were sampled at several stations. Spatial and seasonal patterns of POM composition are mainly due to local to regional processes such as hydrodynamics and sedimentary hydrodynamic (e.g. resuspension processes, changes in river flows, wind patterns influencing along-shore currents) but also due to the geomorphology of the systems (depth of the water column, distance to the shore). Future studies investigating the link between these forcings and POM composition would help to better understand the dynamics of POM composition in coastal systems. {\textcopyright} 2017 Elsevier Ltd},
	keywords = {bacterium, benthos, biogeochemistry, Biological materials, C and n stable isotopes, C:N ratio, Carbon, carbon isotope, Coastal systems, coastal zone, Fluid dynamics, France, geomorphology, Hydrodynamics, Isotopes, isotopic ratio, Mediterranean sea, Meta analysis, meta-analysis, Mixing, Mixing models, nitrogen isotope, Organic compounds, particulate organic matter, Particulate organic matters, Phytoplankton, prokaryote, Rivers, seasonality, spatiotemporal analysis, stable isotope, Surface water, Surface waters, terrestrial deposit, Time series},
	issn = {00796611},
	doi = {10.1016/j.pocean.2017.03.001},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0079661116301914},
	author = {Li{\'e}nart, Camilla and Savoye, Nicolas and Bozec, Yann and Elsa Breton and Conan, Pascal and David, Val{\'e}rie and Eric Feunteun and Karine Granger{\'e} and Kerherv{\'e}, P. and Lebreton, B. and S{\'e}bastien Lefebvre and St{\'e}phane L{\textquoteright}Helguen and Mousseau, Laure and Raimbault, P and Richard, P. and Riera, P. and Sauriau, P.-G. and Gauthier Schaal and Aubert, F. and Aubin, S. and Bichon, S. and Boinet, C. and Bourasseau, L. and Br{\'e}ret, M. and Caparros, J. and Cariou, T. and Charlier, K. and Claquin, P. and Vincent Cornille and Corre, A.-M. and Costes, L. and Crispi, O. and Muriel Crouvoisier and Czamanski, M. and Del Amo, Y. and Derriennic, H. and Dindinaud, F. and Durozier, M. and Hanquiez, V. and Antoine Nowaczyk and Devesa, J. and Ferreira, S. and Fornier, M. and Garcia, F. and Garcia, N. and Geslin, S. and Emilie Grossteffan and Gueux, A. and Guillaudeau, J. and Guillou, G. and Joly, O. and Lachauss{\'e}e, N. and Lafont, M. and Lamoureux, J. and Lecuyer, E. and Lehodey, J.-P. and Lemeille, D. and Leroux, C. and Mac{\'e}, E. and Maria, E. and Pineau, P. and Petit, F. and Pujo-Pay, M. and Rimelin-Maury, P. and Sultan, E.}
}
