Riin Tamme
Institute of Ecology and Earth Sciences
University of Tartu
Lai 40, Tartu 51005
Estonia
E-mail: [email protected]

Lars Götzenberger
Institute of Ecology and Earth Sciences
University of Tartu
Lai 40, Tartu 51005
Estonia
&
Institute of Botany
Czech Academy of Science
Dukelská 135, CZ-379 82 Třeboň
Czech Republic
E-mail: [email protected]

Martin Zobel
Institute of Ecology and Earth Sciences
University of Tartu
Lai 40, Tartu 51005
Estonia

James M. Bullock
NERC Centre for Ecology and Hydrology
Maclean Building, Benson Lane, Wallingford OX10 8BB
UK

Danny A. P. Hooftman
NERC Centre for Ecology and Hydrology
Maclean Building, Benson Lane, Wallingford OX10 8BB
UK

Ants Kaasik
Institute of Ecology and Earth Sciences
University of Tartu
Vanemuise 46, Tartu 51014
Estonia

Meelis Pärtel
Institute of Ecology and Earth Sciences
University of Tartu
Lai 40, Tartu 51005
Estonia

dispeRsal.rda (MD5: 3589cb5b047c9a44e83fd624dabbacad)

instructions.pdf (MD5: b5114a42cb9a0e1856e3fa87a3f8db89)

dispeRsal.rda – includes the function dispeRsal to predict maximum seed dispersal distances from simple plant traits in software R (R Development Core Team 2012) as well as a dataframe used for the predictive models, an example dataframe, a dataframe for assigning taxonomic families to orders and modified versions of the TPLck and TPL functions from the Taxonstand (Cayuela et al. 2012) package for handling synonymies in the data provided by the user. Full details and instructions for using dispeRsal can be found in the instructions file.

instructions.pdf – detailed instructions for using dispeRsal function to predict maximum seed dispersal distances with confidence intervals for user’s own data sets.

Future updates of the tool and the underlying data can be found on a webpage at
http://www.botany.ut.ee/dispersal. To achieve ongoing improvements to the models, we ask the research community to contact us with further data on measured seed dispersal distances and associated plant traits.

Literature Cited

Cayuela, L., I. Granzow-de la Cerda, F. S. Albuquerque, and D. J. Golicher. 2012. TAXONSTAND: An R package for species names standardisation in vegetation databases. Methods in Ecology and Evolution 3:1078–1083.

R Development Core Team. 2012. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria. http://www.R-project.org/.