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Learning from Various Plants and Scenarios: Statistical Modeling

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Growth and Defence in Plants

Part of the book series: Ecological Studies ((ECOLSTUD,volume 220))

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Abstract

Experimental approaches studying complex phenomena in nature often show various answers to one question, depending on the experimental scale chosen, the experimental set-up and other types of restrictions chosen along the way. This difficulty does not only result from a lack of experimental technology, but also from our reductionist approach. While having been shown to be very powerful in experimental sciences, the approach also faces limitations dealing with complex systems. Being aware of such difficulties, statistical methodology has to provide answers for various levels of contingency. We discuss some of these questions and look at examples of statistical methods according to their power in addressing questions raised from complexity.

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Authors and Affiliations

  1. Scientific Computing Research Unit, German Research Center for Environmental Health, Helmholtz Center Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany

    W. zu Castell & A. Staninska

  2. Chair of Ecophysiology of Plants, Technische Universttät München, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany

    R. Matyssek

  3. Forest Nutrition and Water Resources, Technische Universttät München, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany

    A. Göttlein

  4. Pathology of Woody Plants, Technische Universttät München, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany

    F. Fleischmann

Authors
  1. W. zu Castell
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  2. R. Matyssek
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  3. A. Göttlein
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  4. F. Fleischmann
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  5. A. Staninska
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Corresponding author

Correspondence to W. zu Castell .

Editor information

Editors and Affiliations

  1. Chair of Ecophysiology of Plants, Technical University of Munich Chair of Ecophysiology of Plants, Freising, Germany

    Rainer Matyssek

  2. Chair of Grassland Science, Technische Universität München, Freising, Germany

    Hans Schnyder

  3. Chair of Phytopathology of Woody Plants, Technische Universität München, Freising, Germany

    Wolfgang Oßwald

  4. Institute of Biochemcial Plant Biology, Helmholtz-Zentrum München, Neuherberg, Germany

    Dieter Ernst

  5. Institute of Soil Ecology, Helmholtz-Zentrum München, Neuherberg, Germany

    Jean Charles Munch

  6. LS Waldwachstumskunde, TU München LS Waldwachstumskunde, Freising, Germany

    Hans Pretzsch

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Castell, W.z., Matyssek, R., Göttlein, A., Fleischmann, F., Staninska, A. (2012). Learning from Various Plants and Scenarios: Statistical Modeling. In: Matyssek, R., Schnyder, H., Oßwald, W., Ernst, D., Munch, J., Pretzsch, H. (eds) Growth and Defence in Plants. Ecological Studies, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30645-7_16

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