C. B. Yackulic

This paper introduces a marginalized Bayesian Jolly Seber model that significantly improves computational efficiency for open population analysis, demonstrating speed gains of up to 1,000 times with minimal loss of accuracy.

The paper uses mechanistic models to infer autotrophic biomass dynamics from river productivity data, revealing disturbance thresholds and resilience patterns.

The paper uses range-wide monitoring data to quantify how climate and competition affect recruitment, survival, and growth of two dry woodland tree species, identifying vulnerable regions under climate change.