Author

E. Dufrene

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· 5

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 4 Assay:imaging· 3 Approach:experimental assay· 1 Organism:plant (other)· 1

Frequent Co-Authors

G. Vincent· 4 shared N. Delpierre· 4 shared D. Berveiller· 3 shared G. Hmimina· 3 shared K. SOUDANI· 3 shared C. Francois· 2 shared A. Calas· 1 shared A. Morfin· 1 shared

Activity by Year

2019-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersEcology

G. Vincent

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5 papers

Recent·Most cited

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

Potential of Synthetic Aperture Radar Sentinel-1 time series for the monitoring of phenological cycles in a deciduous forest

K. SOUDANI, N. Delpierre, D. Berveiller, G. Hmimina, G. Vincent, A. Morfin, E. Dufrene

This paper uses Sentinel-1 SAR time series to monitor phenological cycles in a deciduous forest, showing that VV/VH ratios can estimate phenological markers with deviations of up to 20 days from observations.

bioRxiv · Feb 4, 2021Ecology

A survey of proximal methods for monitoring leaf phenology in temperate deciduous forests

K. Soudani, N. Delpierre, D. Berveiller, G. Hmimina, J.-Y. Pontailler, L. Seureau, G. Vincent, E. Dufrene

This paper evaluates eight proximal sensing methods to predict phenological events in a temperate deciduous forest, finding that GCC, NDVI, and CC provide the most accurate estimates of budburst and leaf senescence dates.

bioRxiv · Sep 24, 2020Ecology

\"Green pointillism\": Detecting the within-population variability of budburst in temperate deciduous trees with phenological cameras

N. Delpierre, K. Soudani, D. Berveiller, E. Dufrene, G. Hmimina, G. Vincent

This paper quantifies within-population budburst variability using phenological cameras and links it to temperature variations across years.

bioRxiv · Sep 18, 2019Ecology