Jeremy B. Yoder

The paper uses Bayesian models to analyze how climate change affects the flowering and fruiting of Joshua trees and their pollinating moths, finding a mismatch in their responses to temperature and precipitation.

The paper uses machine learning to attribute an unusual ecological event, early Joshua tree flowering, to natural weather variability rather than climate change.

This study uses a new modeling method to analyze how climate change affects toyon flowering and habitat suitability, finding stable flowering intensity and potential range limitations.

This study shows that specialist symbionts drive biodiversity scaling in host-symbiont networks and may account for most threatened species.