Nathalie NIQUIL
Characterization and modelling of food-web functioning properties in coastal ecosystems:
- Inter-ecosystem comparisons of functioning and resilience properties
- Ecosystem health indicator development, based on food-web functioning
- Climate Change effects and cumulative impacts
- Overlooked microbial processes in the food-web functioning, e.g. parasitism of the phytoplankton
Methodological development of the used numerical tools (Linear Inverse Modelling – Monte Carlo Markov Chain, Ecological Network Analysis), with a special interest in quantifying uncertainty.
Social-ecological systems modelling with oriented di-graphs (qualitative modeling) and Bayeian Belief Networks, with an interest in indirect effects, between human actors, cascading through the food web. Crossed mathematical analysis of the indices used in ENA (Ecological Network Analysis) and SNA (Social Network Analysis). Application to questions linking Climate Change and Offshore Wind Farms. Special interest on the use of outputs from food web models in helping decision in coastal and estuarine management.
- Keynote speaker of the workshop "Use of coastal and estuarine food web models in politics and management: The need for an entire ecosystem approach to prevent crises" organised by Alfred Wegener Institute in Sylt (Germany) from 25th to 27th of September 2017.
- Author of 66 publications.
Leader of the transverse Axis « Global Change » of the Joint Research Unit BOREA.
Person in charge of the questions linked with Marine Renewable Energy for the BOREA JRU.
Member of Section 30, CNRS
Ex-Scientific Advisor for CNRS-INEE (Institute of Ecology and Environment of the National Center for Scientific Research) about questions and actions concerning the OSPAR Convention for the Protection of the Marine Environment in the North-East Atlantic.
Ex-Leader of the Food Web Expert Group in the OSPAR Commission (IGC COBAM).
Ex-Member of the selection comity of the action BIOHEFECT/EC2CO (Biogeochemistry, Hydrology and Ecosystem Functionning).
Ex-Member of the section 67 (Ecology and population biology) of the National Council for Universities.
Gallery
My Papers
2023
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. 2023. “An Ecosystem-Wide Approach For Assessing The Spatialized Cumulative Effects Of Local And Global Changes On Coastal Ecosystem Functioningabstract”. Ices Journal Of Marine Science 80 (4): 1129 - 1142. doi:10.1093/icesjms/fsad043. https://academic.oup.com/icesjms/article/80/4/1129/7092991.
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. 2023. “Structure Of Planktonic Food Web In The Gulf Of Gabès (Southeastern Mediterranean): Potential Importance Of Heterotrophic And Mixotrophic Microzooplankton”. Aquatic Sciences 85 (2). doi:10.1007/s00027-023-00954-y. https://link.springer.com/10.1007/s00027-023-00954-y.
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. 2023. “An Integrated Conceptual Model To Characterize The Effects Of Offshore Wind Farms On Ecosystem Services”. Ecosystem Services 60: 101513. doi:10.1016/j.ecoser.2023.101513. https://linkinghub.elsevier.com/retrieve/pii/S2212041623000050.
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. 2023. “Socio-Political Acceptability Of Floating Offshore Wind Farms In France: Challenges And Perspectives For Marine Governance Towards Sustainability”. Ocean & Coastal Management 236: 106513. doi:10.1016/j.ocecoaman.2023.106513. https://linkinghub.elsevier.com/retrieve/pii/S0964569123000388.
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. 2023. Reference Module In Earth Systems And Environmental Sciencesmodelling Species Distribution, Ecosystem Structure And Function And Climate Change. Elsevier. doi:10.1016/B978-0-323-90798-9.00028-7. https://linkinghub.elsevier.com/retrieve/pii/B9780323907989000287.
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. 2023. “The Usefulness Of Food Web Models In The Ecosystem Services Framework: Quantifying, Mapping, And Linking Services Supply”. Ecosystem Services 63: 101550. doi:10.1016/j.ecoser.2023.101550. https://linkinghub.elsevier.com/retrieve/pii/S2212041623000438.
2022
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. 2022. “Assessing The State Of Marine Biodiversity In The Northeast Atlantic”. Ecological Indicators 141: 109148. doi:10.1016/j.ecolind.2022.109148. https://linkinghub.elsevier.com/retrieve/pii/S1470160X22006203.
McQuartters-Gollop et al 2022.pdf (3.01 MB) -
. 2022. “Spatialized Ecological Network Analysis For Ecosystem-Based Management: Effects Of Climate Change, Marine Renewable Energy, And Fishing On Ecosystem Functioning In The Bay Of Seineabstract”. Ices Journal Of Marine Science 79 (4): 1098 - 1112. doi:10.1093/icesjms/fsac026. https://academic.oup.com/icesjms/article/79/4/1098/6535870. Nogues et al 2022.pdf (2.5 MB)
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. 2022. “Potential Combined Impacts Of Climate Change And Non-Indigenous Species Arrivals On Bay Of Biscay Trophic Network Structure And Functioning”. Journal Of Marine Systems 228: 103704. doi:10.1016/j.jmarsys.2022.103704. https://linkinghub.elsevier.com/retrieve/pii/S0924796322000070. Le Marchand et al, 2022.pdf (1.96 MB)
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. 2022. “The Response Of North Sea Ecosystem Functional Groups To Warming And Changes In Fishing”. Frontiers In Marine Science 9. doi:10.3389/fmars.2022.841909. https://www.frontiersin.org/articles/10.3389/fmars.2022.841909/full. Thorpe et al 2022.pdf (2.89 MB)
2021
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. 2021. “Cumulative Effects Of Marine Renewable Energy And Climate Change On Ecosystem Properties: Sensitivity Of Ecological Network Analysis”. Ecological Indicators 121: 107128. doi:10.1016/j.ecolind.2020.107128. https://linkinghub.elsevier.com/retrieve/pii/S1470160X20310670.
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. 2021. “Impacts Of Climate Change On The Bay Of Seine Ecosystem: Forcing A Spatio‐Temporal Trophic Model With Predictions From An Ecological Niche Model”. Fisheries Oceanography 30 (5): 471 - 489. doi:10.1111/fog.v30.510.1111/fog.12531. https://onlinelibrary.wiley.com/toc/13652419/30/5.
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. 2021. “Analysis Of Trophic Networks: An Optimisation Approach”. Journal Of Mathematical Biology 83 (5). doi:10.1007/s00285-021-01682-3. https://link.springer.com/10.1007/s00285-021-01682-3. Caputo et al arcxiv.pdf (303.58 KB)
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. 2021. “The Merits Of Loop Analysis For The Qualitative Modeling Of Social-Ecological Systems In Presence Of Offshore Wind Farms”. Frontiers In Ecology And Evolution 9. doi:10.3389/fevo.2021.635798. https://www.frontiersin.org/articles/10.3389/fevo.2021.635798/full. niquil et al 2021.pdf (4.22 MB)
2020
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. 2020. “Quantitative Food Web Modeling Unravels The Importance Of The Microphytobenthos-Meiofauna Pathway For A High Trophic Transfer By Meiofauna In Soft-Bottom Intertidal Food Webs.”. Ecological Modelling 430. doi:10.1016/j.ecolmodel.2020.109129.
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. 2020. “How To Model Social-Ecological Systems? – A Case Study On The Effects Of A Future Offshore Wind Farm On The Local Society And Ecosystem, And Whether Social Compensation Matters”. Marine Policy 119. doi:10.1016/j.marpol.2020.104031. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085318224&doi=10.1016%2fj.marpol.2020.104031&partnerID=40&md5=9e69340af6d591878af0f943cd4bc347.
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. 2020. Philosophical Transactions Of The Royal Society Of London. Series B, Biological Sciences 375: 20190326. doi:10.1098/rstb.2019.0326. https://royalsocietypublishing.org/doi/abs/10.1098/rstb.2019.0326.
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. 2020. “Isotopic Analyses, A Good Tool To Validate Models In The Context Of Marine Renewable Energy Development And Cumulative Impacts”. Estuarine, Coastal And Shelf Science 237. doi:10.1016/j.ecss.2020.106690.
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. 2020. “An Open-Source Framework To Model Present And Future Marine Species Distributions At Local Scale”. Ecological Informatics 59. doi:10.1016/j.ecoinf.2020.101130. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086876945&doi=10.1016%2fj.ecoinf.2020.101130&partnerID=40&md5=0a5c308eac10a69880027d5de2e6fe98.
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. 2020. “A Spatial Food Web Model To Investigate Potential Spillover Effects Of A Fishery Closure In An Offshore Wind Farm”. Journal Of Marine Systems 212: 103434. doi:10.1016/j.jmarsys.2020.103434. https://linkinghub.elsevier.com/retrieve/pii/S0924796320301305.
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