Maurizio Mencuccini

This paper develops a process-based inversion framework to estimate root-accessible soil water storage and predict drought-induced hydraulic failure across forests.

This paper develops a neural network to automate embolism detection in OVT images, achieving accurate P50 measurements but lower spatial accuracy for embolism events.

The paper assesses hydraulic trait variability in silver fir across populations to evaluate drought vulnerability, finding constrained safety traits and variable water-use traits with scale-dependent coordination.

The paper explains 60% of global variation in sapwood-to-leaf area ratio using optimality principles linking plant hydraulics and photosynthesis.

This study compares operational drought resistance indicators with ecophysiological traits to assess vulnerability to hydraulic failure in Abies species under climate change.