Jochen Fründ
Agroecology, Department of Crop Sciences, Georg-August-University Göttingen, Grisebachstr. 3, 37077 Göttingen, Germany
Department of Entomology, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
E-mail: jfruend@uni-goettingen.de

Carsten F. Dormann
Department of Computational Landscape Ecology, Helmholtz-Center for Environmental Research (UFZ), Leipzig, Germany
Biometry and Environmental System Analysis, Faculty of Forest and Environmental Science, University of Freiburg, Germany
E-mail: carsten.dormann@biom.uni-freiburg.de

Andrea Holzschuh
Agroecology, Department of Crop Sciences, Georg-August-University Göttingen, Grisebachstr. 3, 37077 Göttingen
Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
E-mail: andrea.holzschuh@uni-wuerzburg.de

Teja Tscharntke
Agroecology, Department of Crop Sciences, Georg-August-University Göttingen, Grisebachstr. 3, 37077 Göttingen, Germany
E-mail: ttschar@gwdg.de

Fruend_Supplement_RSourceCode_SimulationPreferences.r (MD5: 2d88c4b2123f7c3a4282b91084df0f5e)

Fruend_Supplement_ExampleData_forRscript.rdata (MD5: f31ceaf9b2de8520b0acb83114169a32)

Fruend_Supplement_RSourceCode_SimulationPreferences.r

Simulation source code (R-script text file) for analyses of preference / niche shifts, used for Figs. 4b and A5 in the article. The code can be run when the .rdata file also provided in this supplement is loaded into R. Simulates visitation data based on bee preferences calculated from different sets of cages, illustrating a ‘niche shift’.

It simulates bee - flower visitation networks based on preferences calculated from cages with 1 and cages with >1 bee species, respectively, and calculates plant species coverage for each simulation. See file for further comments and explanations (marked with # in the R language).

Fruend_Supplement_ExampleData_forRscript.rdata

This file provides example data (a subset of the original data) to run with the .r source code. In order to be loaded, it should be in the current working directory of R. It will be automatically loaded by running the code from the script.