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Integrated Framework for the Simulation of Biological Invasions in a Heterogeneous Landscape
Author(s) -
Ming Peng,
Albrecht Jochen
Publication year - 2004
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/j.1467-9671.2004.00185.x
Subject(s) - percolation (cognitive psychology) , computer science , workflow , percolation theory , spatial analysis , ecology , diffusion , tree (set theory) , geography , remote sensing , biology , engineering , mathematics , topology (electrical circuits) , physics , mathematical analysis , database , neuroscience , electrical engineering , thermodynamics
In the integrated framework presented in this article, a geographical information system serves as a shell to integrate spatial, dynamic and stochastic perspectives of biological invasions in a coherent workflow. A decision tree model stratifies the landscape with respect to spatial susceptibility and builds the spatial biophysical structure for the simulation of species invasion. A dynamic diffusion model evaluates the temporal changes of species to provide the dynamic parameters for the simulation. A simulation model derived from percolation theory simulates species invasion by combining spatial and dynamic information, and explicitly representing spatio‐temporal patterns of invasions within the GIS‐percolation environment. The simulation illustrates the great influence of spatial structure and connectivity of landscape on the diffusion of the species.