BIODIVERSITY RESEARCH

Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches

  1. Anne Dubuis1,
  2. Julien Pottier1,
  3. Vanessa Rion1,
  4. Loïc Pellissier1,
  5. Jean-Paul Theurillat2,3,
  6. Antoine Guisan1,*

Article first published online: 28 JUL 2011

DOI: 10.1111/j.1472-4642.2011.00792.x

Issue

Diversity and Distributions

Diversity and Distributions

Volume 17, Issue 6, pages 1122–1131, November 2011

Additional Information

How to Cite

Dubuis, A., Pottier, J., Rion, V., Pellissier, L., Theurillat, J.-P. and Guisan, A. (2011), Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches. Diversity and Distributions, 17: 1122–1131. doi: 10.1111/j.1472-4642.2011.00792.x

Author Information

  1. 1

    Department of Ecology and Evolution, University of Lausanne, Bâtiment Biophore, CH-1015 Lausanne, Switzerland

  2. 2

    Fondation J.-M. Aubert, CH-1938 Champex-Lac, Switzerland

  3. 3

    Laboratory of Biogeography, Section of Biology, University of Geneva, CH-1292 Chambésy, Switzerland

* Antoine Guisan, Department of Ecology and Evolution, University of Lausanne, Bâtiment Biophore, CH-1015 Lausanne, Switzerland. E-mail: antoine.guisan@unil.ch

Publication History

  1. Issue published online: 13 OCT 2011
  2. Article first published online: 28 JUL 2011

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Figure S1 Predicted species richness plotted against the observed data and error distribution histograms for the Belalp study area.

Figure S2 Observed and predicted species richness plotted along elevation for the Belalp study area.

Figure S3 Prediction errors (predicted - observed values) plotted along elevation for both study areas.

Figure S4 Plots showing the results of the SR obtained by summing the probabilities for the Diablerets area.

Figure S5 Histogram of AUC values of the individual species models for both study areas.

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