Here, we present a workflow for determining the optimal tree height model and calibration design for forests affected to varying degrees by anthropogenic disturbance. For mixed Araucaria–Nothofagus forests, tree height predictions in newly surveyed stands are most accurate and effective when the height of up to five random trees is measured to recalibrate predefined nonlinear mixed-effects models.
Height-diameter relationship; Model selection; Nonlinear mixed effects (NLME); Random and fixed effects calibration; Generalized model; Forest structure
Zhou, X., Kutchartt, E., Hernández, J. et al. Determination of optimal tree height models and calibration designs for Araucaria araucana and Nothofagus pumilio in mixed stands affected to different levels by anthropogenic disturbance in South-Central Chile. Annals of Forest Science 80, 18 (2023). https://doi.org/10.1186/s13595-023-01185-9
Data and/or Code availability
The dataset created and analyzed as part of the current study is available on Zenodo: https://doi.org/10.5281/zenodo.7411420