Advertisement

Comparison between Modern Clustering Techniques and Original Macrobenthic Community Classification on A. Vatova’s Adriatic Data Set (1934–36)

  • P. Di Dato
  • E. Fresi
  • M. Scardi

Abstract

We carried out a comparison between the results of several clustering procedures and the zoocoenoses defined by A. Vatova after his studies on the Adriatic macrozoobenthos (1934–36). The original data set was analysed by means of hierarchical and non-hierarchical clustering algorithms, with and without contiguity constraint, as well as with different combinations of distance/dissimilarity indexes and data normalization. None of the partitions obtained from these procedures matched satisfactorily the original classification, which had probably been based on information that is not available in the numerical abundance data reported by the Author. Therefore, we recommend that only binary information from this data set should be taken into account for further analyses involving recent data sets.

Keywords

Cluster Procedure Original Classification Matching Index Contiguity Constraint Relative Abundance Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Clements FE, Shelford VE (1939) Bio-ecology. Wiley, New YorkGoogle Scholar
  2. Jaccard P (1900) Contribution au problème de l’immigration post-glaciaire de la fore alpine. Bull Soc Vaudoise Sci Nat 36: 87–130Google Scholar
  3. Jaccard P (1901) Etude comparative de la distribution florale dans une portion des Alpes et du Jura. Bull Soc vaudoise Sci Nat 37: 547–579Google Scholar
  4. Jaccard P (1908) Nouvelles recherches sur la distribution florale. Bull Soc Vaudoise Sci Nat 44: 223–270Google Scholar
  5. Lance GN, Williams WT (1966) Computer programs for classification. In: Proc ANCCAC Conf, Canberra, May 1966, Pap 12/3Google Scholar
  6. Legendre P (1987) Constrained clustering. In: Legendre P, Legendre L (eds) Developments in numerical ecology. (NATO ASI Series. vol. G14) Springer-Verlag, Berlin Heidelberg New York Tokyo, pp 289–307CrossRefGoogle Scholar
  7. Legendre F, Legendre V (1984) Postglacial dispersal of freshwater fishes in the Québec peninsula. Can J Fish Aquat Sci 41: 1781–1802CrossRefGoogle Scholar
  8. Sneath PHA, Sokal RR (1973) Numerical taxonomy — the principles and practice of numerical classification. In: Freeman WH (ed) San Francisco, XV+ pp 573Google Scholar
  9. Vatova A (1949) La fauna bentonica dell’Alto a Medio Adriatico. Nova Thalassia 3: 3–110Google Scholar

Copyright information

© Springer-Verlag Italia 2001

Authors and Affiliations

  • P. Di Dato
    • 1
  • E. Fresi
    • 1
  • M. Scardi
    • 2
  1. 1.Dipartimento di BiologiaUniversità di Roma “Tor Vergata”RomaItaly
  2. 2.Dipartimento di ZoologiaUniversità di BariBariItaly

Personalised recommendations