Abstract
The paper advocates a more extensive use of additive trees in community ecology. When the distance/dissimilarity coefficient is selected carefully, these trees can illuminate structural aspects that are not obvious otherwise. In particular, starting from squared distances based on presence/absence data, the resulting trees approximate relationships in species richness, a feature not available through other graphical techniques. The construction of additive trees is illustrated by three actual examples, representing different circumstances in the analysis of grassland community data.
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Abbreviations
- NJ:
-
Neighbor Joining
- PCA:
-
Principal Components Analysis
- UPGMA:
-
Unweighted Pair Group Method Using Arithmetic Averages.
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Podani, J., Csontos, P. & Tamás, J. Additive trees in the analysis of community data. COMMUNITY ECOLOGY 1, 33–41 (2000). https://doi.org/10.1556/ComEc.1.2000.1.6
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DOI: https://doi.org/10.1556/ComEc.1.2000.1.6