Simulating weed propagation via hierarchical, patch-based cellular automata

Adam G. Dunn*, Jonathan D. Majer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I
EditorsAlbada Shi, Dongarra G.D. van, P.M.A. Sloot
Place of PublicationBerlin ; New York
PublisherSpringer, Springer Nature
Pages762-769
Number of pages8
Volume4487 LNCS
ISBN (Print)9783540725831
Publication statusPublished - 2007
Externally publishedYes
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 27 May 200730 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4487 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Computational Science, ICCS 2007
Country/TerritoryChina
CityBeijing
Period27/05/0730/05/07

Keywords

  • Cellular automata
  • Environmental weeds
  • Hierarchical patch dynamics
  • Multiscale heterogeneity

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