F
François Gillet
Researcher at Centre national de la recherche scientifique
Publications - 115
Citations - 6731
François Gillet is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Vegetation & Species richness. The author has an hindex of 33, co-authored 111 publications receiving 5813 citations. Previous affiliations of François Gillet include University of Neuchâtel & University of Franche-Comté.
Papers
More filters
Journal ArticleDOI
Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness
TL;DR: In this article, the authors developed a dynamic grassland model, DynaGraM, designed to simulate seasonal changes in both aboveground biomass production and species composition of managed permanent grasslands under various soil, climate and management conditions.
Journal ArticleDOI
Disturbance-grazer-vegetation interactions maintain habitat diversity in mountain pasture-woodlands
Alexander Peringer,Alexandre Buttler,Alexandre Buttler,François Gillet,François Gillet,Ileana Pătru-Stupariu,Kiowa Alraune Schulze,Mihai-Sorin Stupariu,Gert Rosenthal +8 more
TL;DR: In this paper, the effects of forest gap creation by the breakdown of senile trees or by single-tree cutting and of large forest openings by windthrow or logging on mosaic pattern formation in pasture-woodlands that were grazed by cattle and dominated by tree species with distinct regeneration ecology (Picea abies vs Fagus sylvatica).
Journal ArticleDOI
What is the robustness of early warning signals to temporal aggregation
TL;DR: High-resolution palaeoecological time series could be in a large extent suitable to support EWS analyses, and robustness of EWS detection to temporal aggregation was addressed using simulated time series mimicking ecological dynamics.
Journal ArticleDOI
How do plant community ecologists consider the complementarity of observational, experimental and theoretical modelling approaches?
Thomas Spiegelberger,François Gillet,Bernard Amiaud,Aurélie Thébault,Pierre Mariotte,Alexandre Buttler +5 more
TL;DR: The aim of this study is to highlight the strengths, limitations, and advantages of these three approaches, namely observational, experimental and theoretical modelling, for predicting biodiversity under global change.