作者: Kurt Johnsen , Lisa Samuelson , Robert Teskey , Steve McNulty , Tom Fox
DOI: 10.1093/FORESTSCIENCE/47.1.2
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摘要: ABSTRACT. Forest process models are mathematical representations of biological systems thatincorporate our understanding physiological and ecological mechanisms into predictive algorithms.These were originally designed used for research purposes, but being developed foruse in practical forest management. Process typically requirecomplicated intensive data, whereas management strive to use simpler andmore readily available data provide predictions useful managers. In this article, we reviewsome different types models, examine their requirements utility forestmanagement, discuss priority areas that will increase accuracy application. Weconclude soil nutritional limitations the most difficult model components predictinggrowth responses using models. F OR . S CI 47(1):2–8.Key Words: Scaling, complexity, modeling approaches, challenges.