J. M. Alexander

This paper develops deep learning models to extract micrometeorological data from wildlife camera images, showing improved accuracy and revealing ecological insights.

The paper analyzes leaf metabolome variation across plant species to identify metabolic functional traits that reveal new dimensions of plant form and function.

This study develops an evolutionary functional-structural plant model to investigate the drivers of local adaptation in Dianthus carthusianorum along elevation gradients, finding abiotic factors predominantly drive adaptation.

The paper shows that microbial invaders can more easily colonize toxic environments with existing communities but face greater resistance when communities co-evolve.

The paper shows that competition affects both lower and upper elevation range limits of plant species by improving persistence within their ranges and reducing coexistence beyond them.

The paper shows that introducing lowland plants into alpine ecosystems under warming increases soil carbon loss by enhancing root exudation and microbial respiration.