The weight structure and oxygen consumption of oribatid communities

  • P. Berthet
Part of the Czechoslovak Academy of Sciences book series (TPCI)


In the study of animal communities, it is common to introduce the concept of relative abundance of the different species. If n i . Indicates the number of individuals* belonging to the i th species and N the total number of individuals of the S species, than the ratio n i /N will express the numerical abundance of the i th species. This concept is of use for the analysis of community but does not describe the functional importance of the species in its community.


Weight Class Weight Structure Active Biomass Soil Zoology Oribatid Community 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Berthet, P. (1964): L’activite. des Oribatides d’une chênaie. Memoire n° 152, Inst. Roy. Sci. Nat. Belgique, 152 pp.Google Scholar
  2. Berthet, P. (1971): Une nouvelle méthode pour l’estimation du bilan annuel de consommation d’oxygene des communautés édaphiques. In Productivité des Ecosystémes forestiers. Unesco, 479–482.Google Scholar
  3. Engelmann, M. D. (1961): The role of soil arthropods in the energetics of an old field community. Ecol. Monogr. 31: 221.238.Google Scholar
  4. Margaleff, D, R. (1957): La teoria de la Information en Ecologia. Mem. Acad. Ciencias y Artes Barcelony. n° 661, Vol. 33, 13, 79 pp.Google Scholar
  5. Pielou, E. C. (1969): An introduction to mathematical ecology. J. Wiley, 286 pp.Google Scholar
  6. Zinkler, D. (1966): Vergleichende Untersuchungen zur Atmungsphysiologie von Collembolen und anderen Bodenkleinenarthropoden. Z. vergl. Physiol. 52, 99–144.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1975

Authors and Affiliations

  • P. Berthet
    • 1
  1. 1.Institute of ZoologyLouvainBelgium

Personalised recommendations