期刊
ECOLOGICAL MODELLING
卷 145, 期 1, 页码 69-84出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0304-3800(01)00380-5
关键词
individual-based model; distribution-based model; forest dynamics; aggregation; mean-field approximation; moment equations
类别
A question addressed in forest modelling is: which level of detail is required to reproduce the ecosystem function? In this paper four versions of the same model of a natural rain-forest are compared. The most detailed is an individual-based distance-dependent model, where every individual is described and interacts with other trees through a spatially explicit neighbourhood. Performing aggregation on the stand description yields a distribution-based distance-dependent model. Applying the mean field approximation brings two distance-dependent models. Three of the four models appear to predict the same stationary state in the limit where the number of trees is infinite (individual-based distance-independent + distribution-based models). The individual-based distance-dependent model differs because of the occurrence of space-dependent effects. An alternative aggregation method based on moment equations is then suggested to render the space-dependent effects. (C) 2001 Elsevier Science B.V. All rights reserved.
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