Aggregation of an individual-based space-dependent model of forest dynamics into distribution-based and space-independent models
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.
| Main Authors: | , |
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| Format: | article biblioteca |
| Language: | eng |
| Subjects: | F40 - Écologie végétale, U10 - Informatique, mathématiques et statistiques, forêt tropicale, dynamique des populations, modèle, distribution des populations, http://aims.fao.org/aos/agrovoc/c_24904, http://aims.fao.org/aos/agrovoc/c_6111, http://aims.fao.org/aos/agrovoc/c_4881, http://aims.fao.org/aos/agrovoc/c_6113, |
| Online Access: | http://agritrop.cirad.fr/486491/ http://agritrop.cirad.fr/486491/1/486491.pdf |
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