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Spatial prediction of climate, soil, and macrofauna

Geomorphological and topoclimatic predictors derived from a DEM

  • Chapter
Spatial Modelling in Forest Ecology and Management

Abstract

Geomorphometric variables have been used for decades for several objectives, e.g. the prediction of soil loss determined by slope, or colluvial erosion and accumulation caused by type and degree of curvature particularly in agriculture (Seiler 1982). Another field of application is geotechnique, e.g. the estimation of landslide susceptibility, depending on so-called form elements of certain plan and profile curvature and slope gradients (Dikau 1990). Gardner et al. 1990 describe the rapid increase in the possibilities of DEM analysis; today, e.g. even complex hydrological features such as stream orders can be calculated very fast.

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Author information

Authors and Affiliations

  1. Institute of Forest Biometry and Informatics, University of Göttingen, Büsgenweg 4, 37077, Göttingen, Germany

    R. Schulz, Dr. V. Mues, Dr. M. Jansen & Prof. Dr. J. Saborowski

  2. Ecology Group, Institute of Zoology and Anthropology, University of Göttingen, Berliner Str. 28, 37073, Göttingen, Germany

    Dr. M. Judas

Authors
  1. R. Schulz
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  2. Dr. V. Mues
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  3. Dr. M. Jansen
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  4. Dr. M. Judas
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  5. Prof. Dr. J. Saborowski
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Editor information

Editors and Affiliations

  1. Institut für Forstliche Biometrie und Informatik, Büsgenweg 4, 37077, Göttingen, Germany

    Martin Jansen

  2. Institut für Zoologie und Anthropologie, Abteilung Ökologie Berliner Straße 28, 37073, Göttingen, Germany

    Michael Judas

  3. Institut für Forstliche Biometrie und Informatik, Büsgenweg 4, 37077, Göttingen, Germany

    Joachim Saborowski

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© 2002 Springer-Verlag Berlin Heidelberg

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Schulz, R., Mues, V., Jansen, M., Judas, M., Saborowski, J. (2002). Spatial prediction of climate, soil, and macrofauna. In: Jansen, M., Judas, M., Saborowski, J. (eds) Spatial Modelling in Forest Ecology and Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56155-9_5

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  • DOI: https://doi.org/10.1007/978-3-642-56155-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43357-6

  • Online ISBN: 978-3-642-56155-9

  • eBook Packages: Springer Book Archive

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