V
Vincent Ginot
Researcher at Institut national de la recherche agronomique
Publications - 16
Citations - 3228
Vincent Ginot is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Population & Phytoplankton. The author has an hindex of 13, co-authored 16 publications receiving 2960 citations.
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Journal ArticleDOI
A standard protocol for describing individual-based and agent-based models
Volker Grimm,Uta Berger,Finn Bastiansen,Sigrunn Eliassen,Vincent Ginot,Jarl Giske,John D. Goss-Custard,Tamara C. Grand,Simone K. Heinz,Geir Huse,Andreas Huth,Jane Uhd Jepsen,Christian Jorgensen,Wolf M. Mooij,Birgit Müller,Guy Pe'er,Cyril Piou,Steven F. Railsback,Andrew M. Robbins,Martha M. Robbins,Eva Rossmanith,Nadja Rüger,Espen Strand,Sami Souissi,Richard A. Stillman,Rune Vabø,Ute Visser,Donald L. DeAngelis +27 more
TL;DR: A proposed standard protocol for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology, and considered as a first step for establishing a more detailed common format of the description of IBm and ABM.
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Temporal mapping of phytoplankton assemblages in Lake Geneva: Annual and interannual changes in their patterns of succession
Orlane Anneville,Sami Souissi,Frédéric Ibanez,Vincent Ginot,Jean Claude Druart,Nadine Angeli +5 more
TL;DR: The structural changes in the phytoplankton of Lake Geneva over the past 25 yr have been analyzed using a recently developed statistical method based on hierarchical clustering and Bayesian probabilities as mentioned in this paper.
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Long-term study (1974–1998) of seasonal changes in the phytoplankton in Lake Geneva: a multi-table approach
TL;DR: In this paper, the mean annual pattern of the seasonal successions of phytoplankton species, and whether inter-annual distortions in this seasonal structure occur, was defined.
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Combined use of local and ANOVA-based global sensitivity analyses for the investigation of a stochastic dynamic model: Application to the case study of an individual-based model of a fish population
TL;DR: In this article, the authors used global analysis of variance (ANOVA) on a stochastic individual-based model of a mosquitofish (Gambusia holbrooki ) population in experimental tanks.
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A multi-agents architecture to enhance end-user individual-based modelling
TL;DR: In this paper, the authors suggest the use of the multi-agents system paradigm (MAS) which originates from the distributed artificial intelligence and defines agents as autonomous objects that perceive and react to their environment.