GROWTH-MODELS FOR TROPICAL FORESTS - A SYNTHESIS OF MODELS AND METHODS

Tropical forests may have many species, indeterminate ages, and a wide range of growth habits and stem sizes and thus require special modeli ng techniques. But technique contributes only part of model quality, a nd much depends on the calibration data and access to the model. Whole stand models have limited utility in these forests, as it is hard to describe the forest adequately with few stand-level variables. Stand t able projection and matrix models may be useful where summarized data are available and computer resources are limited, but the many classes required detract from the method. Tree list models offer greater flex ibility, enable projections under a wide range of conditions, and prov ide diverse information. All growth equations should ensure reliable p redictions over all tree sizes, sites, and stand conditions. Mortality may be modeled with logistic functions fitted to individual tree data . Two-stage recruitment models are a practical way to predict regenera tion where there are many species. Several existing models could be ca librated for tropical rainforests if suitable data were available. Sus tainable use of rainforests may depend on maintaining nutrient cycles and ecosystem linkages, and new data and innovative models will be nec essary to fully appraise these aspects.