Numerical Ecology; Developments for Studying the Benthos

  • John G. Field
  • Roger H. Green
  • Francisco A. L. de Andrade
  • Eugenio Fresi
  • Phillippe Gros
  • Brian H. McArdle
  • Michele Scardi
  • Daniel Wartenberg
Part of the NATO ASI Series book series (volume 14)

Abstract

In discussing the use of techniques, it is first necessary to note the aims of the potential users of those techniques, in order to judge whether they are applicable. Some of the main aims of benthic community ecologists include the following:
  1. 1.

    To analyse patterns in biotic data (species/sites/times);

     
  2. 2.

    To relate biotic patterns to patterns in the environment in time and space;

     
  3. 3.

    To predict responses of benthic communities to changes in the biotic and/or environmental (abiotic) patterns, sometimes via experiments done in the field or in mesocosms;

     
  4. 4.

    To study the functioning of benthic communities and processes (e.g., energy flows and nutrient cycles).

     

Keywords

Biomass Anisotropy Covariance Photosynthesis Autocorrelation 

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References

  1. Fasham, M.J.R., and P. Foxton. 1979. Zonal distribution of pelagic Decapoda (Crustacea) in the eastern North Atlantic and its relation to the physical oceanography. J. exp. mar. Biol. Ecol. 37: 225–253.CrossRefGoogle Scholar
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  6. Scardi, M., E. Fresi, and G.D. Ardizonne. In press. Cartographic representation of sea-grass beds: application of a stochastic interpolation technique (Kriging). In C.F. Bouderesque, A. Jeudi de Grissac and J. Olivier [ed.] 2nd International Workshop on Posidonia oceanica beds. G.I.S. Posidonie Publ., France.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • John G. Field
    • 1
  • Roger H. Green
  • Francisco A. L. de Andrade
  • Eugenio Fresi
  • Phillippe Gros
  • Brian H. McArdle
  • Michele Scardi
  • Daniel Wartenberg
  1. 1.Marine Biology Research Institute, Zoology DepartmentUniversity of Cape TownRondeboschSouth Africa

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