Simulating Weed Propagation Via Hierarchical, Patch-Based Cellular Automata

Authors:
Adam G. Dunn;Jonathan D. Majer
Affiliations:
Alcoa Research Centre for Stronger Communities and, Department of Environmental Biology, Curtin University of Technology, Western Australia;Alcoa Research Centre for Stronger Communities and, Department of Environmental Biology, Curtin University of Technology, Western Australia
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

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Abstract

Ecological systems are complex systems that feature heterogeneity at a number of spatial scales. Modelling weed propagation is difficult because local interactions are unpredictable, yet responsible for global patterns. A patch-based and hierarchical cellular automaton using probabilistic connections suits the nature of environmental weed dispersal mechanisms. In the presented model, weed dispersal mechanisms, including human disturbance and dispersal by fauna, are approximated by pathways through a network of cells. The results of simulations provide evidence that the method is suitable for modelling weed dispersal mechanisms using multiple scales of observation.