Author:
L. Orlóci University of Western Ontario Department of Biology London Canada N6A 5B7

Search for other papers by L. Orlóci in
Current site
Google Scholar
PubMed
Close
Restricted access

In this paper, logarithmic functions are described based on which the total diversity of a collection can be partitioned into components specific to factorial effects. The standard statistical modus operandi of testing hypotheses in a factorial design is applied, only the test criteria changed. The factor identities are chosen according to stated hypothesis, observations are made and sorted, the associated entropy and information quantities are calculated, and probabilistic tests of significance are performed regarding main effects and interaction terms. The basics are presented in the main text. The partition functions, their Venn diagram mappings, and a complete printout from the application program DIVPART.EXE are collected in a separate Appendix accessible with this article on the publisher’s website.

  • Edgington, E.S. 1987. Randomization Tests . 2nd ed. Marcel Dekker, New York.

    Edgington E.S. , '', in Randomization Tests , (1987 ) -.

  • Kullback, S. 1959. Information Theory and Statistics . Wiley, New York.

    Kullback S. , '', in Information Theory and Statistics , (1959 ) -.

  • Li, J. 1993. The Forests of Heilongjiang . Northeast Forestry University Press, Harbin, China.

    Li J. , '', in The Forests of Heilongjiang , (1993 ) -.

  • Orlóci, L. 1991. Entropy and Information . Ecological Computations Series, Vol. 3. SPB Academic Publishing, The Hague.

    Orlóci L. , '', in Entropy and Information , (1991 ) -.

  • Orlóci, L. and X. S. He. 1996. The entropy structure of biodiversity. Bull. Bot. Res. (NFU, Harbin, China) 16:146–154.

    He X. S. , 'The entropy structure of biodiversity ' (1996 ) 16 Bull. Bot. Res. (NFU, Harbin, China) : 146 -154 .

    • Search Google Scholar
  • Orlóci, L., M. Anand, and V.D. Pillar. 2002. Biodiversity analysis: issues, concepts, techniques. Community Ecol. 3:217–236.

    Pillar V.D. , 'Biodiversity analysis: issues, concepts, techniques ' (2002 ) 3 Community Ecol. : 217 -236 .

    • Search Google Scholar
  • Pillar, V. D. 1996. A randomisation-based solution for vegetation classification and homogeneity testing. Coenoses 11:29–36.

    Pillar V. D. , 'A randomisation-based solution for vegetation classification and homogeneity testing ' (1996 ) 11 Coenoses : 29 -36 .

    • Search Google Scholar
  • Pillar, V.D. 1999. How sharp are classifications? Ecology 80:2508–2516.

    Pillar V.D. , 'How sharp are classifications? ' (1999 ) 80 Ecology : 2508 -2516 .

  • Rényi, A. 1961. On measures of entropy and information. In: J. Neyman (ed.), Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability . University of California Press, Berkeley, pp. 547–561.

    Rényi A. , '', in Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability , (1961 ) -.

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript Submission: HERE

For subscription options, please visit the website of Springer Nature.

Community Ecology
Language English
Size A4
Year of
Foundation
2000
Volumes
per Year
1
Issues
per Year
3
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1585-8553 (Print)
ISSN 1588-2756 (Online)