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Abstract
Hybrid models offer the opportunity to improve future growth projections by combining advantages of both empirical and process-based modeling approaches. Hybrid models have been constructed in several regions and their performance relative to a purely empirical approach has varied. A hybrid model was constructed for intensively managed Douglas-fir plantations in the Pacific Northwest by embedding a hierarchy of components representing fundamental processes into a spatially implicit individual-tree model.
Citation
Weiskittel, A.; Maguire, D.; Monserud, R. 2007. Development of a hybrid modeling approach for predicting intensively managed Douglas-fir growth at multiple scales. null