Andrew O. Finley

Toward improved uncertainty quantification in predictions of forest dynamics: A dynamical model of forest change

This paper develops a Bayesian hierarchical dynamical model to quantify uncertainty in forest dynamics predictions and applies it to a forest inventory dataset.

Quantifying impacts of natural gas development on forest carbon

The paper quantifies forest carbon loss and opportunity costs from natural gas development in the U.S. Appalachian region using forest inventory and remote sensing data between 2008-2021.

Connecting growth and yield models to continuous forest inventory data to better account for uncertainty

The paper develops a Bayesian dynamical model to quantify and propagate uncertainty in forest growth predictions using continuous inventory data, aiding adaptive management decisions.