Aggregation of an individual-based space-dependent model of forest dynamics into distribution-based and space-independent models

Abstract : 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.
Document type :
Journal articles
Liste complète des métadonnées

http://hal.cirad.fr/cirad-00145218
Contributor : Nicolas Picard <>
Submitted on : Wednesday, May 9, 2007 - 11:02:01 AM
Last modification on : Friday, March 29, 2019 - 9:10:56 AM

Identifiers

  • HAL Id : cirad-00145218, version 1

Collections

Citation

Nicolas Picard, Alain Franc. Aggregation of an individual-based space-dependent model of forest dynamics into distribution-based and space-independent models. Ecological Modelling, Elsevier, 2001, 145 (1), pp.69-84. ⟨cirad-00145218⟩

Share

Metrics

Record views

293