Skip to main content
Log in

Spatial variation of zooplankton groups in a tropical reservoir (Broa Reservoir, São Paulo State-Brazil)

  • Published:
Hydrobiologia Aims and scope Submit manuscript

Abstract

In this paper the spatial variation of zooplanktonic groups(cladocerans, rotifers, nauplii and adults of copepods) in the Broareservoir was studied using geostatistical tools. The variation inthe density of cladocerans and nauplii and adults of copepods isstructured along the geographic space in the form of gradients, whichimplies the rejection of the hypothesis of spatial homogeneity andrandomness. In other words, the variation in the density of thesegroups is not distributed randomly over the geographic space. Thepatterns of spatial variation observed can be attributed to differentfactors (advection, behavioral mechanisms and limnological factors).The last conclusion is congruent with the multiple forces hypothesis(Pinel-Alloul, 1995; Pinel-Alloul et al., 1995). Implications tosampling methodology are also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Betsil, R. K. & M. J. van den Avely, 1994. Spatial heterogeneity of reservoir zooplankton: a matter of timing? Hydrobiologia 277: 63-70.

    Google Scholar 

  • de Lafontaine, Y., 1994. Zooplankton biomass in the Southern Gulf of St. Lawrence: spatial patterns and the influence of freshwater runoff. Can. J. Fish. aquat. Sci. 55: 617-635.

    Google Scholar 

  • Diniz-Filho, J. A., 1995. Canonical trend surface analysis of morphometric variation in Africanized honey bees from Brazil. J. Apicult. Res. 34: 65-72.

    Google Scholar 

  • Downing, J. A., 1991. Biological heterogeneity in aquatic ecosystems. In Kolasa, J. & S. T. A. Pickett (eds), Ecological Heterogeneity. Springer-Verlag, New York: 160-180.

    Google Scholar 

  • Ford, D. E., 1990. Reservoir transport processes. In Thornton, K.W., B. L. Kimmel & F. E. Payne (eds), Reservoir Limnology: Ecological Perspectives. Wiley-Interscience Publication, New York, 2: 15-41.

    Google Scholar 

  • Halvorson, J. J., H. Bolton Jr., J. L. Smith & R. E. Rossi, 1994. Geostatistical analysis of resource islands under Artemisia tridentata in the shrub-steppe. Great Basin Naturalist 54: 313-328.

    Google Scholar 

  • Hulbert, S. H., 1984. Pseudoreplication and the design of ecological field experiments. Ecol. Monogr. 54: 187-211.

    Google Scholar 

  • Jackson, R. B. & M. M. Candwell, 1993. The scale of nutrient heterogeneity around individual plants and its quantification with geostatistics. Ecology 74: 612-614.

    Google Scholar 

  • Journel, A. G. & CH. J. Huijbregts, 1978. Mining Geostatistics. Academic Press, New York.

    Google Scholar 

  • Kratz, T. K., T. M. Frost & J. J. Magnuson, 1987. Inferences from spatial and temporal variability in ecosystems: Long-term zooplankton data from lakes. Am. Nat. 129: 830-846.

    Google Scholar 

  • Lee, P. J. 1969. The theory and application of canonical trend surface. J. Geol. 77: 303-318.

    Google Scholar 

  • Legendre, P., 1993. Spatial autocorrelation: trouble or new paradigm? Ecology 74: 1659-1673.

    Google Scholar 

  • Legendre, P. & M. J. Fortin, 1989. Spatial pattern and ecological analysis. Vegetatio 80: 107-138.

    Google Scholar 

  • Legendre, P. & M. Troussellier, 1988. Aquatic heterotrophic bacteria: Modeling in the presence of spatial autocorrelation. Limnol. Oceanogr. 33: 1055-1067.

    Google Scholar 

  • Legendre, P., M. Troussellier, V. Jarry & M. J. Fortin, 1989. Design for simultaneous sampling of ecological variables: from concepts to numerical solutions. Oikos 55: 30-42.

    Google Scholar 

  • Legendre, P., N. L. Oden, R. R. Sokal, A. Vaudor & J. Kim, 1990. Approximate analysis of variance of spatially autocorrelated regional data. J. Classific. 7: 53-76.

    Google Scholar 

  • Mackas, D. L., 1984. Spatial autocorrelation of plankton community composition in a continental shelf ecosystem. Limnol. Oceanogr. 29: 451-471.

    Google Scholar 

  • Manly, B. F. J., 1994. Multivariate Statistical Methods: A Primer. Chapman & Hall, London.

    Google Scholar 

  • Marzolf, G. R., 1990. Reservoirs as environmentals for zooplankton. In Thornton, K.W., B. L. Kimmel & F. E. Payne (eds), Reservoir Limnology: Ecological Perspectives. Wiley-Interscience Publication, New York 7: 195-208.

    Google Scholar 

  • Matheron, G., 1963. Principles of Geostatistics. Econ. Geol. 58: 1246-1266.

    Google Scholar 

  • Maynou, F., G. Y. Conan, J. E. Cartes, J. B. Company & F. Sardà, 1996. Spatial structure and seasonality of decapod crustacean populations on the northwestern Mediterranean slope. Limnol. Oceanogr. 41: 113-125.

    Google Scholar 

  • Oden, N. L., 1984. Assessing the significance of a spatial correlogram. Geograph. Anal. 16: 1-16.

    Google Scholar 

  • Palmer, M. W., 1988. Fractal geometry: a tool for describing spatial patterns of plant communities. Vegetatio 75: 91-102.

    Google Scholar 

  • Patalas, K. & A. Salki, 1992. Crustacean plankton in lakeWinnipeg: variation in space and time as a function of lake morphology, geology, and climate. Can. J. Fish. aquat. Sci. 49: 1035-1059.

    Google Scholar 

  • Pelletier, D. & A. M. Parma, 1994. Spatial distribution of Pacific halibut (Hippoglossus stenolepis): an application of geostatistics to longline survey data. Can. J. Fish. aquat. Sci. 51: 1506-1518.

    Google Scholar 

  • Pinel-Alloul, B., 1995. Spatial heterogeneity as a multiscale characteristics of zooplankton community. Hydrobiologia 300/301: 17-42.

    Google Scholar 

  • Pinel-Alloul, B. & D. Pont, 1991. Spatial distribution patterns in freshwater macrozooplankton: variation with scale. Can. J. Zool. 69: 1557-1570.

    Google Scholar 

  • Pinel-Alloul, B., T. Niyonsenga & P. Legendre, 1995. Spatial variation and environmental components of freshwater zooplankton structure. Ecoscience 2: 1-19.

    Google Scholar 

  • Robertson, G. P., 1987. Geostatistics in ecology: interpolating with known variance. Ecology 68: 744-748.

    Google Scholar 

  • Rossi, R., D. J. Mulla, A. G. Journel & E. H. Franz, 1992. Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecol. Monogr. 62: 277-314.

    Google Scholar 

  • Simard, Y., P. Legendre, G. Lavoie & D. Marcotte, 1992. Mapping, estimating biomass, and optimizing sampling programs for spatially autocorrelated data: case study of the Northern shrimp (Pandalus borealis). Can. J. Fish. aquat. Sci. 49: 32-45.

    Google Scholar 

  • Sokal, R. R. & N. L. Oden, 1978a. Spatial autocorrelation in biology. 1. Methodology. Biol. J. linn. Soc. 10: 199-228.

    Google Scholar 

  • Sokal, R. R. & N. L. Oden, 1978b. Spatial autocorrelation in biology. 2. Some biological applications of evolutionary and ecological interest. Biol. J. linn. Soc. 10: 229-249.

    Google Scholar 

  • Sokal, R. R. & J. D. Thomson, 1987. Applications of spatial autocorrelation in ecology. P. Legendre & L. Legendre (eds), Development in Numerical Ecology. Nato ASI Series, SpringerVerlag, Berlin, Heidelberg, G14: 431-466.

    Google Scholar 

  • Tundisi, J.G., 1986. The Lobo (Broa) ecosystem. Ciencia Interamericana 25: 18-31.

    Google Scholar 

  • Tundisi, T. M., J. G. Tundisi & C. E. Matheus, 1975. Plankton studies in a lacustrine environment II. Spatial distribution of the zooplankton. Ciência e Cultura 27: 269–271.

    Google Scholar 

  • Tundisi, J. G. & T. Matsumura-Tundisi, 1995. The Lobo-Broa Ecosystem Research. In Tundisi, J. G., C. E. M. Bicudo & T. Matsumura-Tundisi (eds), Limnology in Brazil. Brazilian Academy of Science, Brazilian Limnological Society, Rio de Janeiro: 219-243.

    Google Scholar 

  • Wartenberg, D., 1985. Canonical trend surface analysis: a method for describing geographic patterns. Syst. Zool. 34: 259-279.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bini, L.M., Tundisi, J.G., Matsumura-Tundisi, T. et al. Spatial variation of zooplankton groups in a tropical reservoir (Broa Reservoir, São Paulo State-Brazil). Hydrobiologia 357, 89–98 (1997). https://doi.org/10.1023/A:1003178618304

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1003178618304

Navigation