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4 - Basics of gradient analysis

Published online by Cambridge University Press:  05 May 2014

Petr Šmilauer
Affiliation:
University of South Bohemia, Czech Republic
Jan Lepš
Affiliation:
University of South Bohemia, Czech Republic
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Summary

The methods for analysing community composition or similar kinds of multivariate ecological data are usually divided into gradient analysis and classification. The term gradient analysis is used here in a broad sense, for any method attempting to relate community composition to the (measured or hypothetical) environmental gradients.

Traditionally, the classification methods, when used in plant community ecology, were connected with the discontinuum approach (or vegetation unit approach) or sometimes even with the Clementsian superorganismal approach, whereas the methods of gradient analysis were connected with the continuum concept or with the Gleasonian individualistic concept of communities (Whittaker 1975). While this might reflect the history of the methods, this distinction is no longer valid. The methods are complementary and their choice depends mainly on the purpose of a study.

For example, in vegetation mapping some classification is usually needed. Even if there are no distinct boundaries between adjacent vegetation types, we have to cut the continuum and create distinct vegetation units for mapping purposes. Ordination methods can help find repeatable vegetation patterns and discontinuities in species composition, and show any transitional types, etc. These methods are now accepted even in phytosociology. Also, the methods are no longer restricted to plant community ecology. They became widespread in most studies of ecological communities with major emphasis on species composition and its relationship with the underlying factors, and they have found their way also into research fields unrelated to natural sciences (archaeology, social sciences). In fact, it seems to us that the advanced applications of gradient analysis are nowadays found outside the vegetation sciences and the methods become more frequently used in freshwater and marine studies.

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Publisher: Cambridge University Press
Print publication year: 2014

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  • Basics of gradient analysis
  • Petr Šmilauer, University of South Bohemia, Czech Republic, Jan Lepš, University of South Bohemia, Czech Republic
  • Book: Multivariate Analysis of Ecological Data using CANOCO 5
  • Online publication: 05 May 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139627061.005
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  • Basics of gradient analysis
  • Petr Šmilauer, University of South Bohemia, Czech Republic, Jan Lepš, University of South Bohemia, Czech Republic
  • Book: Multivariate Analysis of Ecological Data using CANOCO 5
  • Online publication: 05 May 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139627061.005
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Basics of gradient analysis
  • Petr Šmilauer, University of South Bohemia, Czech Republic, Jan Lepš, University of South Bohemia, Czech Republic
  • Book: Multivariate Analysis of Ecological Data using CANOCO 5
  • Online publication: 05 May 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139627061.005
Available formats
×