Mapping alpine vegetation using vegetation observations and topographic attributes

K. Pfeffer*, Edzer J. Pebesma, Peter A. Burrough

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

64 Citations (Scopus)

Abstract

Local planning in mountain areas requires spatial information on site factors such as vegetation that is commonly lacking in rugged terrain. This study demonstrates a procedure for the efficient acquisition of a vegetation map using topographic attributes and nominal vegetation data sampled in the field. Topographic attributes were derived from a digital elevation model (DEM) and nominal vegetation data were reduced to normalised scores by detrended correspondence analysis (DCA). The procedure for mapping vegetation types addressed the relations between DCA scores and topographic attributes, spatial correlation of DCA scores and classification of predicted DCA scores based on a cluster analysis of DCA scores at observation locations. The modelled vegetation classes corresponded with the impression obtained in the field. We also showed that the final result is rather sensitive to which samples are included in the analysis.

Original languageEnglish
Pages (from-to)759-776
Number of pages18
JournalLandscape ecology
Volume18
Issue number8
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes

Keywords

  • Alpine vegetation
  • Classification
  • Digital elevation model
  • Ordination
  • Universal kriging
  • ITC-ISI-JOURNAL-ARTICLE

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