Author

C. Francois

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

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

E. Dufrene· 2 shared G. Vincent· 2 shared M. Jourdan· 2 shared N. Delpierre· 2 shared A. Calas· 1 shared A. Morfin· 1 shared B. Maxime· 1 shared D. Berveiller· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEcology

E. Dufrene

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3 papers

Recent·Most cited

Contribution of deep soil layers to the transpiration of a temperate deciduous forest: quantification and implications for the modelling of productivity

J. Maysonnave, N. Delpierre, C. Francois, M. Jourdan, I. Cornut, S. Bazot, A. Morfin, G. Vincent, D. Berveiller

This study quantifies deep soil water contribution to transpiration in a temperate forest during drought and highlights the underestimation of soil water holding capacity in existing databases, impacting forest productivity models.

Science of The Total Environment · Sep 1, 2022Peer-reviewedEcology

Leaf area index estimation of even-aged oak (Quercus petraea) forests using in situ stand dendrometric parameters

B. Maxime, C. Francois, F. Lebourgeois, I. Seynave, F. Ningre, G. Vincent, N. Korboulewsky, T. Perot, S. Perret, A. Calas, E. Dufrene

The paper develops and validates models to estimate leaf area index (LAI) in even-aged oak forests using basal area, age, and quadratic mean diameter, achieving RMSE < 0.75.

bioRxiv · Aug 5, 2021 · PreprintEcology

" Idol with feet of clay ": reliable predictions of forest ecosystem functioning require flawless climate forcings.

M. Jourdan, C. Francois, N. Delpierre, N. Martin St-Paul, E. Dufrene

This study quantifies how climate model biases affect ecosystem process predictions, showing significant variability at local scales and improvement with bias correction.

bioRxiv · Mar 2, 2021 · PreprintEcology