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Cited by 511

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Cellular automata models for vegetation dynamics

Open access
Balzter, Heiko, Braun, Paul W., Köhler, Wolfgang·1998·Ecological Modelling

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.

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Crossref · 10.1016/s0304-3800(97)00202-0

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Metadata

Authors
Balzter, H., Braun, P. W., & Köhler, W.
Venue
Ecological Modelling
Publisher
Elsevier BV
Published
1998-04
Volume
107
Issue
2-3
Pages
113-125
ISSN
0304-3800 (ISSN-L)
OpenAlex
W2037202670
Cited by
511
References
35
FWCI
5.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cellular automata models for vegetation dynamics. https://app.cochat.ai/papers/10.1016/s0304-3800(97)00202-0
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Balzter, H., Braun, P. W., & Köhler, W. (1998). Cellular automata models for vegetation dynamics. Ecological Modelling. https://doi.org/10.1016/s0304-3800(97)00202-0

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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