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Annals of forest research, 2013-07, Vol.56 (1), p.43-52
2013
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Autor(en) / Beteiligte
Titel
Evaluation of nine distance-based measures of functional diversity applied to forest communities
Ist Teil von
  • Annals of forest research, 2013-07, Vol.56 (1), p.43-52
Ort / Verlag
‘Marin Drăcea’ National Research-Development Institute in Forestry
Erscheinungsjahr
2013
Quelle
Elektronische Zeitschriftenbibliothek - Freely accessible e-journals
Beschreibungen/Notizen
  • Several methods for the estimation of functional diversity are employed in plant communities. However, it is hard to select the most suitable measures in practice. This work presents comparisons of nine distance-based measures applied to functional diversity analysis in forest communities (36 plots) along an elevational gradient in the Pangquangou Reserve, China. The employed indices and methods were: functional attribute diversity (FAD), Raos functional diversity (Raos index), single linkage (SL), complete linkage (CL), Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Unweighted Pair-Group Method using Centroids (UPGMC), Median linkage (Median), fuzzy equivalence diversity (Fuzzy index) and minimum spanning tree index (MST). The results showed that all the nine measures successfully quantified the functional diversity in plant communities and described the changes along environmental gradient. It was concluded that all the employed indices and methods were equally effective and significantly correlated. Comparatively, fuzzy index, MST, UPGMC, UPGMA and Median were more suitable and should have priority over the other four measures in functional diversity analysis. A combination of a few measures of functional diversity within the same study was recommended. Functional diversity indices were significantly decreasing with elevation and correlated with species richness in the studied forest communities. 
Sprache
Englisch
Identifikatoren
ISSN: 1844-8135
eISSN: 2065-2445
DOI: 10.15287/afr.2013.43
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_9bbe664ff51840de8fafbc624286290c

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