N. Martin-StPaul

This study evaluates a gap model's ability to predict forest growth and community composition under climate change across diverse species and environments.

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.

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.

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.

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.

The paper challenges the assumption that stomatal closure timing is linked to embolism resistance, showing stomata close earlier in drought-resistant species, which may accelerate plant death.