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International Journal for Multiscale Computational Engineering
Factor de Impacto: 1.016 Factor de Impacto de 5 años: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimir: 1543-1649
ISSN En Línea: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2014010276
pages 319-329

MULTISCALE MODELING FOR STOCHASTIC FOREST DYNAMICS

Maud Comboul
Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, California 90089, USA
Roger Ghanem
Department of Aerospace and Mechanical Engineering, University of Southern California, 210 KAP Hall, Los Angeles, California 90089, USA

SINOPSIS

This paper investigates a multiscale characterization of individual-based dynamics. At the fine scale, an individual-based and spatially explicit point process model is used to describe ecological processes relevant to the evolution of individuals and their mutual interactions. At the coarse scale, a stochastic model is synthesized to describe the dynamics of the system on larger spatial scales. The upscaling technique is designed to efficiently coarse-grain very fine-scale variables in order to express new state dynamics that no longer require access to fine details. The coarse dynamics are carefully constructed to preserve fluctuations from localized competition by retaining subgrid information obtained from precomputed Monte Carlo simulations of the fine-scale dynamics. Implications to computational efficiency and cross-scale coupling are significant. The present technique is then described in detail as it is applied to an individual-based and spatially explicit forest dynamics model.


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