Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4681
Title: Cellular automata models for vegetation dynamics
Authors: Balzter, Heiko
Braun, Paul W.
Köhler, Wolfgang
First Published: 1-Apr-1998
Publisher: Elsevier
Citation: Ecological Modelling, 1998, 107 (2-3), pp. 113-125.
Abstract: A short review of cellular automata models in ecology is given. Introduction of a spatial dimension into a discrete-time Markov chain leads to a class of cellular automata called spatio-temporal Markov chains (STMC). The behaviour of the model is determined by its temporal and spatial orders. It has been proven that STMC models have ergodic distributions in certain cases for spatial order 0. Simulations suggest that STMC models of higher spatial order also have ergodic distributions. The model of Dytham (1995) is demonstrated to be an STMC. Modelling population dynamics of three plant species on a lawn, two STMC models of different order are compared. The model validation shows a good agreement for Glechoma hederacea, but large deviations for Lolium perenne and Trifolium repens. The species-dependent performance of the models can be explained by selective grazing. Modifications of the transition matrices are used to examine possible causes of the deviations.
DOI Link: 10.1016/S0304-3800(97)00202-0
ISSN: 0304-3800
Links: http://www.sciencedirect.com/science/article/pii/S0304380097002020
http://hdl.handle.net/2381/4681
Type: Article
Rights: This is the author's final draft of the paper published as Ecological Modelling, 1998, 107 (2-3), pp. 113-125. The final version is available from http://www.sciencedirect.com. Doi: 10.1016/S0304-3800(97)00202-0
Appears in Collections:Published Articles, Dept. of Geography

Files in This Item:
File Description SizeFormat 
ECOL_MOD2print.pdf190.42 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.