@inproceedings{f1c10b4148b347b3b960f2789e2322f9,
title = "Simulating weed propagation via hierarchical, patch-based cellular automata",
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.",
keywords = "Cellular automata, Environmental weeds, Hierarchical patch dynamics, Multiscale heterogeneity",
author = "Dunn, {Adam G.} and Majer, {Jonathan D.}",
year = "2007",
language = "English",
isbn = "9783540725831",
volume = "4487 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "762--769",
editor = "Albada Shi and {G.D. van}, Dongarra and P.M.A. Sloot",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I",
address = "United States",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}