Skip to main content
SpringerLink
Log in

Fuzzy systems vegetation theory

  • Published:
Vegetatio Aims and scope Submit manuscript

Abstract

Fuzzy systems vegetation theory is a comprehensive framework for the expression of vegetation theory and conceptual models, as well as the development of vegetation analyses. It is applicable to vegetation/environment relations, vegetation dynamics, and the effects of environmental dynamics on vegetation composition. Fuzzy systems vegetation theory is a fuzzy set generalization of dynamical systems theory and incorporates a formal logic and mathematics. This paper presents the elements of fuzzy systems vegetation theory and discusses the relationship of the fuzzy systems theory to the geometric concepts generally employed in vegetation theory.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • AllenT. F. H. & StarrT. B., 1982. Hierarchy: Perspectives for ecological complexity. University of Chicago Press, Chicago.

    Google Scholar 

  • CaswellH. H., 1988. Theory and models in ecology: A different perspective. Ecol. Model 43: 33–44.

    Google Scholar 

  • DaubenmireR., 1966. Vegetation: Identification of typal communities. Science 151: 291–298.

    Google Scholar 

  • DuboisD. & PradeH. 1980. Fuzzy sets and systems: Theory and applications. Academic Press, New York.

    Google Scholar 

  • FeoliE. & ZuccarelloV. 1986. Ordination based on classification: Yet another solution?! Abstr. Bot. 10: 203–219.

    Google Scholar 

  • FeoliE. & ZuccarelloV. 1988. Syntaxonomy: A source of useful fuzzy sets of environmental analysis? Coenoses 3: 141–147.

    Google Scholar 

  • HuschleG. & HironakaM. 1980. Classification and ordination of seral plant communities. J. Range Manage. 33: 179–182.

    Google Scholar 

  • JongmanR. H., terBraakC. J. F. & vanTongerenO. F. R. 1987. Data analysis in community and landscape ecology. Pudoc, Wageningen.

    Google Scholar 

  • McIntoshR. P. 1967. The continuum concept of vegetation. Bot. Rev. 33: 130–187.

    Google Scholar 

  • PastorJ. & PostW. M. 1984. Calculating Thornthwaite and Mather's actual evapotranspiration using an approximating function. Can. J. For. Res. 14: 466–467.

    Google Scholar 

  • RobertsD. W. 1986. Ordination on the basis of fuzzy set theory. Vegetatio 66: 123–131.

    Google Scholar 

  • RobertsD. W. 1987. A dynamical systems perspective on vegetation theory. Vegetatio 69: 27–33.

    Google Scholar 

  • SteeleR. 1984. An approach to classifying seral vegetation within habitat types. Northwest Sci. 58: 29–39.

    Google Scholar 

  • terBraakC. J. F. & PrenticeI. C. 1987. A theory of gradient analysis. Adv. Ecol. Res. 18: 271–317.

    Google Scholar 

  • ThornthwaiteC. W. & MatherJ. R. 1957. Instructions and tables for computing potential evapotranspiration and the water balance. Publ. Climatol. 10: 183–311.

    Google Scholar 

  • vanLeeuwenC. G. 1966. A relation theoretical approach to pattern and process in vegetation. Wentia 15: 25–46.

    Google Scholar 

  • WhittakerR. H. 1953. A consideration of climax theory: The climax as a population and pattern. Ecol. Monogr. 23: 41–78.

    Google Scholar 

  • WhittakerR. H. 1974. Climax concepts and recognition. In: KnappR. (ed.), Vegetation dynamics, pp. 137–154. Junk, The Hague.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Forest Resources and Ecology Center, Utah State University, 84322-5215, Logan, UT, USA

    David W. Roberts

Authors
  1. David W. Roberts
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Roberts, D.W. Fuzzy systems vegetation theory. Vegetatio 83, 71–80 (1989). https://doi.org/10.1007/BF00031681

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00031681

Keywords

Search

Navigation