The math of the woods
Developing robust empirical models to forecast long-term forest dynamics. Our work translates complex quantitative ecology into practical, field-tested tools for sustainable silvicultural decisions.
Selected publications
Peer-reviewed research and biometric frameworks analyzing forest growth, yield dynamics, and response to silvicultural interventions over decades.
Growth models for mature timber
Stochastic yield forecasting
Decadal response pathways
A long-term evaluation of empirical growth projections in mixed-conifer stands, establishing baseline metrics for multi-cohort management.
Integrating environmental covariates into traditional growth and yield models to improve precision under changing climatic regimes.
Quantifying how intensive silvicultural decisions alter stand structure and merchantable volume recovery over forty-year observation windows.
Empirical tools for forestry
Access interactive growth calculators, dataset archives, and custom biometric models developed for foresters and researchers. All resources are openly shared to advance quantitative forest science.