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Integration of Spatial Analysis in Long-Term Ecological Studies

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Ecological Time Series

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Abstract

Ecological research often involves investigations covering small field plots to areas the size of watersheds (Kareiva and Andersen 1988). Remote sensing and geographic information system (GIS) technology has allowed comparison of field measurements with satellite-based measurements and expanded site-specific research to include landscape and regional processes. More recent interest in landscape ecology has provided models to investigate ecological patterns and processes (Turner and Ruscher 1988). These models provide tools for analyzing ecological data in a spatial framework based on the organizational structure of the data.

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References

  • Blackman, R. B., and J. W. Tukey. 1958. The Measurement of Power Spectra. Dover, New York.

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  • Kareiva, P., and M. Andersen. 1988. “Spatial Aspects of Species Interactions: The Wedding of Models and Experiments.” In A. Hastings (ed.), Community Ecology. Springer-Verlag, New York.

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  • Price, J. C. 1987. Calibration of satellite radiometers and the comparison of vegetation indices. Remote Sensing of the Environment 21:15–27.

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  • Turner, M., and C. Ruscher. 1988. Changes in landscape pattern in Georgia, USA. Landscape Ecology 1(4):241–251.

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  • Vande Castle, J. R. 1985. A Study of Long-term Changes in the Phytoplankton Community and the Seasonal Change of Alkaline Phosphatase Activity in Lake Michigan. Ph.D. dissertation, University of Wisconsin, Milwaukee.

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Authors
  1. John R. Vande Castle
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Editor information

Editors and Affiliations

  1. Department of Intergrative Biology, University of California-Berkeley, USA

    Thomas M. Powell

  2. Woods Hole Oceanographic Institution, USA

    John H. Steele

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© 1995 Springer Science+Business Media Dordrecht

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Vande Castle, J.R. (1995). Integration of Spatial Analysis in Long-Term Ecological Studies. In: Powell, T.M., Steele, J.H. (eds) Ecological Time Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1769-6_5

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  • DOI: https://doi.org/10.1007/978-1-4615-1769-6_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-412-05201-9

  • Online ISBN: 978-1-4615-1769-6

  • eBook Packages: Springer Book Archive

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