@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.}
}
@article {LeGuen2019,
	title = {Assessing the ecological status of an estuarine ecosystem: linking biodiversity and food-web indicators},
	journal = {Estuarine, Coastal and Shelf Science},
	volume = {228},
	year = {2019},
	note = {cited By 0},
	publisher = {Academic Press},
	abstract = {During the last decades, the highly-anthropized Seine estuary has been impacted by modification of its habitats (building of a major extension of Le Havre harbour, i.e. Port2000) and a significant natural decrease in freshwater discharge. A Before/After analysis, using a toolbox of indicators, was applied to characterize the effects of both events on the estuarine ecosystem status. We selected from existing tool boxes several indicators derived from food web modelling or community composition data, such as biodiversity indicators, a guild-based index (i.e. Estuarine and Lagoon Fish Index ELFI) and ecological network analysis (ENA) indices. ENA and biodiversity indicators were applied on six spatial boxes describing the Seine estuary and its outlet. Results showed an increase in taxonomic and functional richness over time, mainly due to marinisation, and significant changes in food-web properties in relation to Port2000. ENA indices appeared as a promising method in ecological status assessment, especially for estuaries considered as inherently disturbed. {\textcopyright} 2019 Elsevier Ltd},
	keywords = {Biodiversity, bioindicator, community composition, ecological approach, ecological modeling, ecosystem function, ecosystem health, environmental assessment, estuarine ecosystem, food web, France, habitat management, health status, human activity, Le Havre, Normandie, Seine Estuary, Seine Maritime},
	issn = {02727714},
	doi = {10.1016/j.ecss.2019.106339},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S0272771419300484},
	author = {Le Guen, Camille and Samuele Tecchio and Jean-Claude Dauvin and De Roton, G. and Lobry, Jeremy and Lepage, Mario and Morin, Jocelyne and G{\'e}raldine Lassalle and Raoux, Aurore and Nathalie Niquil}
}
@article {Meddeb201967,
	title = {A new type of plankton food web functioning in coastal waters revealed by coupling Monte Carlo Markov chain linear inverse method and ecological network analysis},
	journal = {Ecological Indicators},
	volume = {104},
	year = {2019},
	note = {cited By 0},
	pages = {67-85},
	publisher = {Elsevier B.V.},
	abstract = {Plankton food webs (PFW) typology is based on different categories of functioning, according to the dominant processes and the role played by heterotrophic bacteria, small vs large phytoplankton, and small vs large zooplankton. Investigating the structure and the function of planktonic food webs in two SW Mediterranean waters (inshore and marine sites) at four seasons, using inverse (LIM-MCMC) and ecological network (ENA) analyses, we identified a new type of food web, called the {\textquotedblleft}bacterial multivorous food web{\textquotedblright}. This food web adds to the conventional trophic continuum as previously reported. The {\textquotedblleft}bacterial multivorous food web{\textquotedblright} present in winter showed the lowest primary production among seasons, but highest bacterial production. Several food web ratios characterized this new typology e.g. picophytoplankton net primary production to total primary production varied from 0.20 to 0.28; bacterial to primary production ratio is higher than values reported in global scale (≅1); bacterial net production to the potential protozoan prey net production was high (\&gt;0.2). In this special food web, carbon was mostly recycled, with a moderate fraction channeled to deep waters, which lead to a higher retention of carbon inside the ecosystem. This winter PFW also seemed to be the most organized, specialized, stable and mature, as related to common interpretations of ENA. The spring was characterized by herbivorous food web, with highest activity coinciding with low stability. Although less usual, the herbivorous pathway was also observed during summer, in inshore waters. The autumn food webs, which functioned as multivorous or microbial food webs, appeared to be stable and mature. Finally, our study demonstrates the usefulness of food web models derived ratios combined with ecological network analysis indices to conduct evaluation of the structure and functioning of ecosystems and potentially to support management decisions in marine environment. {\textcopyright} 2019},
	keywords = {Bacteria (microorganisms), bacterium, Carbon, Chemical contamination, coastal water, Coastal waters, ecological modeling, Ecology, ecosystem function, Ecosystems, Electric network analysis, Food microbiology, food web, Food web model, Food webs, inverse analysis, Inverse problems, Markov chain, Markov processes, Mediterranean sea, Monte Carlo analysis, Monte Carlo methods, net primary production, network analysis, Phytoplankton, picoplankton, Plankton, Protozoa, protozoan, Seasonal variation, trophic status, Trophic structure},
	issn = {1470160X},
	doi = {10.1016/j.ecolind.2019.04.077},
	url = {https://www.sciencedirect.com/science/article/abs/pii/S1470160X19303243},
	author = {Meddeb, M. and Nathalie Niquil and Grami, B. and Mejri, K. and Haraldsson, M. and Chaalali, A. and Pringault, O. and Hlaili, A.S.}
}
