Capturing site-to-site variability through Hierarchical Bayesian calibration of a process-based dynamic vegetation model
I. Fer, A. N. Shiklomanov, K. A. Novick, C. M. Gough, M. A. Arain, J. Chen, B. Murphy, A. R. Desai, M. C. Dietze
This paper introduces a hierarchical Bayesian calibration method for dynamic vegetation models, showing it improves prediction accuracy by accounting for site-to-site parameter variability.
bioRxiv · Apr 28, 2021 · PreprintEcology