PhD Student University of New Hampshire Madbury, New Hampshire, United States
Using witness tree data from land surveys, Bayesian modeling of historic American chestnut abundance in Northeastern US reveals insights into past distribution patterns. This approach offers a deeper understanding of ecological changes and aids conservation efforts for the iconic American chestnut tree.
Learning Objectives:
Apply a Bayesian framework to analyzing historical land survey data
Assess the historical distribution of American chestnut
