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A simple cellular automaton model for high-level vegetation dynamics

Author

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  • Colasanti, R.L.
  • Hunt, R.
  • Watrud, L.

Abstract

We have produced a simple two-dimensional (ground-plan) cellular automata model of vegetation dynamics specifically to investigate high-level community processes. The model is probabilistic, with individual plant behavior determined by physiologically-based rules derived from a well-known system of plant functional types (the C–S–R system, based on environmental disturbance and resource availability). These plant types, when grown in real experiments with virtual communities, reproduce classical community-level behavior and, in complex communities simulated over a wide range of environmental conditions, produce a clearly ‘hump-backed’ curve linking plant diversity to community productivity. The properties of this curve invite many further layers of experimentation.

Suggested Citation

  • Colasanti, R.L. & Hunt, R. & Watrud, L., 2007. "A simple cellular automaton model for high-level vegetation dynamics," Ecological Modelling, Elsevier, vol. 203(3), pages 363-374.
    • Handle: RePEc:eee:ecomod:v:203:y:2007:i:3:p:363-374
    DOI: 10.1016/j.ecolmodel.2006.12.039
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    Cited by:

    1. Mathey, Anne-Hélène & Krcmar, Emina & Dragicevic, Suzana & Vertinsky, Ilan, 2008. "An object-oriented cellular automata model for forest planning problems," Ecological Modelling, Elsevier, vol. 212(3), pages 359-371.
    2. Bittebiere, A.-K. & Mony, C. & Clément, B. & Garbey, M., 2012. "Modeling competition between plants using an Individual Based Model: Methods and effects on the growth of two species with contrasted growth forms," Ecological Modelling, Elsevier, vol. 234(C), pages 38-50.
    3. Mouissie, A. Maarten & Apol, M. Emile F. & Heil, Gerrit W. & van Diggelen, Rudy, 2008. "Creation and preservation of vegetation patterns by grazing," Ecological Modelling, Elsevier, vol. 218(1), pages 60-72.
    4. Craig, Peter D., 2010. "Imposed and inherent scales in cellular automata models of habitat," Ecological Modelling, Elsevier, vol. 221(20), pages 2425-2434.

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