Ecosystem Modeling and Prediction
Development of process-based model for forest ecosystems
The development of process-based model for forest ecosystems entails building simulation tools that capture key ecological processes—often previously overlooked—such as natural succession, disturbance regimes (both biotic and abiotic), and the interactions between biodiversity and the carbon cycle. The established model is crucial for evaluating regional forest responses to environmental change and informing sustainable management strategies.
Evaluation of major uncertainties in process-based models
Evaluation of major uncertainties in process-based models involves identifying and quantifying the sources of error or variability in model structure, parameters, and input data. These uncertainties can significantly affect the reliability of model predictions, especially under future climate scenarios. Understanding and reducing these uncertainties is essential for improving the credibility of model-based assessments in ecological and climate research.
