@article {7089,
	title = {How to model social-ecological systems? {\textendash} A case study on the effects of a future offshore wind farm on the local society and ecosystem, and whether social compensation matters},
	journal = {Marine Policy},
	volume = {119},
	year = {2020},
	abstract = {Models of social-ecological systems (SES) are acknowledged as an important tool to understand human-nature relations. However, many SES models fail to integrate adequate information from both the human and ecological subsystems. With an example model of a future Offshore Wind Farm development and its effects on both the ecosystem and local human population, we illustrate a method facilitating a {\textquotedblleft}balanced{\textquotedblright} SES model, in terms of including information from both subsystems. We use qualitative mathematical modeling, which allows to quickly analyze the structure and dynamics of a system without including quantitative data, and therefore to compare alternative system structures based on different understandings of how the system works. By including similar number of system variables in the two subsystems, we balanced the complexity between them. Our analyses show that this complexity is important in order to predict indirect and sometimes counterintuitive effects. We also highlight some conceptually important questions concerning social compensations during developmental projects in general, and wind farms in particular. Our results suggest that the more project holders get involved in various manner in the local socio-ecological system, the more society will benefit as a whole. Increased involvement through e.g. new projects or job-opportunities around the windfarm has the capacity to offset the negative effects of the windfarm on the local community. These benefits are enhanced when there is an overall acceptance and appropriation of the project. We suggest this method as a tool to support the decision-making process and to facilitate discussions between stakeholders, especially among local communities. {\textcopyright} The Authors},
	keywords = {Acceptance, comparative study, Complexity, Decision making, development project, Eastern English channel, environmental impact assessment, future prospect, local participation, Network, numerical model, offshore structure, participatory approach, Perception, Qualitative modeling, quantitative analysis, Renewable energy, social impact assessment, stakeholder, wind farm},
	issn = {0308597X (ISSN)},
	doi = {10.1016/j.marpol.2020.104031},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085318224\&doi=10.1016\%2fj.marpol.2020.104031\&partnerID=40\&md5=9e69340af6d591878af0f943cd4bc347},
	author = {Haraldsson, M. and Raoux, A. and Riera, F. and Hay, J. and Dambacher, J.M. and Nathalie Niquil}
}
@article {Lema2019731,
	title = {Inter- and Intra-Specific Transcriptional and Phenotypic Responses of Pseudo-nitzschia under Different Nutrient Conditions},
	journal = {Genome Biology and Evolution},
	volume = {11},
	number = {3},
	year = {2019},
	note = {cited By 1},
	pages = {731-747},
	publisher = {Oxford University Press},
	abstract = {Untangling thefunctionalbasis of divergencebetweenclosely relatedspecies is a steptowardunderstanding speciesdynamicswithin communities at both the evolutionary and ecological scales. We investigated cellular (i.e., growth, domoic acid production, and nutrient consumption) and molecular (transcriptomic analyses) responses to varying nutrient concentrations across several strains belonging to three species of the toxic diatomgenus Pseudo-nitzschia. Threemain resultswere obtained. First, strains fromthe same species displayed similar transcriptomic, but not necessarily cellular, responses to the experimental conditions. It showed the importance of considering intraspecific diversity to investigate functional divergence between species. Second, a major exception to the first findingwas a strain recently isolated fromthe natural environment and displaying contrasting gene expression patterns related to cell motility and domoic acid production. This result illustrated the profound modifications thatmay occurwhen transferring a cell fromthe natural to the in vitro environment and asks for future studies to better understand the influence of culture duration and life cycleon expression patterns. Third, transcriptomic responsesweremore similarbetween the two speciesdisplaying similar ecology in situ, irrespective of the genetic distance. This was especially true formolecular responses related to TCA cycle, photosynthesis, and nitrogen metabolism. However, transcripts related to phosphate uptake were variable between species. It highlighted the importance of considering both overall genetic distance and ecological divergence to explain functional divergence between species. {\textcopyright} The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.},
	keywords = {analogs and derivatives, Biological Evolution, comparative study, Diatom, Diatoms, Domoic acid, evolution, kainic acid, Metabolism, Multigene Family, Nutrients, Phenotype, Physiology},
	issn = {17596653},
	doi = {10.1093/gbe/evz030},
	url = {https://academic.oup.com/gbe/article/11/3/731/5332980},
	author = {Lema, Kimberley A. and Metegnier, G. and Qu{\'e}r{\'e}, J. and Latimier, Marie and Agn{\`e}s Youenou and Lambert, Christophe and Juliette Fauchot and Le Gac, Mickael and Costantini, M.}
}
