A. R. Kleinhesselink

This study uses dynamic vegetation data and machine learning to predict wildfire hazard in the Great Basin, finding that fire probability is strongly linked to vegetation biomass, bare ground cover, and drought indices.

The paper quantifies the rapid expansion of exotic annual grass dominance in the Great Basin, showing an eight-fold increase in area and spread into higher elevations and north-facing slopes.

The paper investigates how plant functional traits predict species responses to environmental variation in a California grassland, finding that trait-environment interactions influence demographic outcomes and community trait shifts.

This paper defines higher order interactions (HOIs) in ecological systems and demonstrates their presence in simulated plant competition based on phenology differences.