Process Models as Tools in Forestry Research and Management

ABSTRACT. Forest process models are mathematical representations of biological systems thatincorporate our understanding of physiological and ecological mechanisms into predictive algorithms.These models were originally designed and used for research purposes, but are being developed foruse in practical forest management. Process models designed for research typically requirecomplicated and intensive data, whereas models designed for management strive to use simpler andmore readily available data and provide predictions useful for forest managers. In this article, we reviewsome different types of process models, examine their requirements and utility in research and forestmanagement, and discuss research priority areas that will increase their accuracy and application. Weconclude that soil and nutritional limitations are the most difficult model components in predictinggrowth responses using process models. F OR . S CI . 47(1):2–8.Key Words: Scaling, forest complexity, forest modeling approaches, modeling challenges.

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