Author

F. Pimont

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3 Bioengineering· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 1 Approach:mechanistic / dynamical model· 1 Organism:plant (other)· 1

Frequent Co-Authors

J. Ruffault· 5 shared J.-L. Dupuy· 4 shared N. Martin-StPaul· 4 shared H. Cochard· 3 shared H. Fargeon· 2 shared M. Moreno· 2 shared R. Barbero· 2 shared A. Russo· 1 shared

Activity by Year

2020-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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5 shared papersEcology

J. Ruffault

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Author profile →

5 papers

Recent·Most cited

Functional diversity reduces the risk of hydraulic failure in tree mixtures through hydraulic disconnection

M. Moreno, G. Simioni, H. Cochard, C. Doussan, J. Guillemot, R. Decarsin, P. Fernandez, J.-L. Dupuy, S. Trueba, F. Pimont, J. Ruffault, N. K. Martin-StPaul

This study shows that mixing drought-avoidant and drought-tolerant tree species reduces water stress during extreme drought by altering hydraulic connections.

bioRxiv · Jun 9, 2023 · PreprintEcology

Modelling live fuel moisture content at leaf and canopy scale under extreme drought using SurEau-Ecos, a lumped plant hydraulic model

N. Martin-StPaul, J. Ruffault, C. Blackmann, H. Cochard, M. De Caceres, S. Delzon, J.-L. Dupuy, H. Fargeon, L. Lamarque, M. Moreno, R. Parsons, F. Pimont, J.-M. Ourcival, J. Torres-Ruiz, J.-M. Limousin

This paper uses the SurEau-Ecos model to simulate live fuel moisture content at leaf and canopy scales during drought, showing that foliage mortality and hydraulic traits drive LFMC changes.

bioRxiv · Jun 3, 2020 · PreprintEcology

Prediction of regional wildfire activity with a probabilistic Bayesian framework

F. Pimont, H. Fargeon, T. Opitz, J. Ruffault, R. Barbero, N. Martin-StPaul, E. Rigolot, M. Riviere, J.-L. Dupuy

This paper develops a Bayesian probabilistic model to predict regional wildfire activity using fire weather index and forest area data, showing improved accuracy at weekly scales but limitations in predicting large fires during extreme events.

bioRxiv · May 20, 2020Bioengineering

SurEau.c : a mechanistic model of plant water relations under extreme drought

H. Cochard, N. Martin-StPaul, F. Pimont, J. Ruffault

The paper introduces SurEau.c, a mechanistic model that predicts plant hydraulic failure under extreme drought by simulating water flow and conductance across plant organs.

bioRxiv · May 10, 2020Plant Biology

Increased likelihood of heat-induced large wildfires in the Mediterranean Basin

J. Ruffault, T. Curt, V. Moron, R. Trigo, F. Mouillot, N. Koutsias, F. Pimont, N. Martin-StPaul, R. Barbero, J.-L. Dupuy, A. Russo, C. Belhadj-Kheder

The paper shows future climate scenarios predict increased frequency and severity of heat-induced fire-weather types in the Mediterranean Basin, leading to more large wildfires.

bioRxiv · Jan 9, 2020Ecology