Sustainable forest management on a regional scale requires accurate biomass estimation. At
present, technologically comprehensive forecasting estimates are generated using process-based
ecological models. However, isolation of the ecological factors that cause uncertainty in model
behavior is difficult. To solve this problem, this study aimed to construct a meliorization model evaluation framework to explain uncertainty in model behavior with respect to both the mechanisms and algorithms in.
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