Data manipulation and gradient length estimation in DCA ordination

Data manipulation and gradient length estimation in DCA ordination Abstract. The effects of different kinds of data manipulation on gradient length estimation by non‐linear rescal‐ing (as in DCA ordination) are evaluated by considering the first axis inDCA ordinations of 11 field data sets from four investigations. Gradient length estimates are dependent on the range of the abundance scale; the more the scale favours the quantitative aspect (abundance) of the data over the qualitative aspect (presence), the longer the DCA axes. The gradient length estimate decreases when infrequent species are deleted. A new formula is proposed to replace the option for downweighting of rare species in DCA, as the option presently available has some undesirable properties. Some implications for interpretation of gradient length estimates by non‐linear rescaling in general (and in DCA in particular) and for comparison of gradient length estimates between studies, are discussed. The potential of non‐linear rescaling of gradients for estimation of β diversity is emphasized. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Vegetation Science Wiley

Data manipulation and gradient length estimation in DCA ordination

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Publisher
Wiley
Copyright
1990 IAVS ‐ the International Association of Vegetation Science
ISSN
1100-9233
eISSN
1654-1103
DOI
10.2307/3235663
Publisher site
See Article on Publisher Site

Abstract

Abstract. The effects of different kinds of data manipulation on gradient length estimation by non‐linear rescal‐ing (as in DCA ordination) are evaluated by considering the first axis inDCA ordinations of 11 field data sets from four investigations. Gradient length estimates are dependent on the range of the abundance scale; the more the scale favours the quantitative aspect (abundance) of the data over the qualitative aspect (presence), the longer the DCA axes. The gradient length estimate decreases when infrequent species are deleted. A new formula is proposed to replace the option for downweighting of rare species in DCA, as the option presently available has some undesirable properties. Some implications for interpretation of gradient length estimates by non‐linear rescaling in general (and in DCA in particular) and for comparison of gradient length estimates between studies, are discussed. The potential of non‐linear rescaling of gradients for estimation of β diversity is emphasized.

Journal

Journal of Vegetation ScienceWiley

Published: Apr 1, 1990

References

  • Small‐scale environmental heterogeneity and the analysis of species distributions along gradients
    Palmer, Palmer; Dixon, Dixon

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