Present addresses: IMEP, Université Aix-Marseille 3, Europôle méditerranéen de l’Arbois, BP 80, 13545 Aix-en-Provence Cedex 04, France.
CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling
Article first published online: 19 JUL 2011
© 2011 The Authors. Methods in Ecology and Evolution © 2011 British Ecological Society
Methods in Ecology and Evolution
Volume 3, Issue 1, pages 53–64, February 2012
How to Cite
Kriticos, D. J., Webber, B. L., Leriche, A., Ota, N., Macadam, I., Bathols, J. and Scott, J. K. (2012), CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution, 3: 53–64. doi: 10.1111/j.2041-210X.2011.00134.x
Correspondence site: http://www.respond2articles.com/MEE/
- Issue published online: 1 FEB 2012
- Article first published online: 19 JUL 2011
- Received 20 February 2011; accepted 9 May 2011 Handling Editor: Andrew Tatem
Appendix S1. Worked example of calculating relative humidity estimates for the 10’ hybrid dataset.
Fig. S1. Locations of grid cells in the CSIRO Mk3 global climate model dataset where precipitation values were given ‘no data’ values of 1e9 for July (a), August (b) and September (c).
Fig. S2. Species response curves to Bioclim variables generated by correlative MaxEnt modelling for Banksia cuneata.
Table S1. Description of Bioclim variables and an indication of the climate variables used in their calculation.
Table S2. CLIMEX Compare Locations model parameter values used in the niche models for Nassella trichotoma (Kriticos et al. 2004) and Rhipicephalus microplus (Sutherst & Bourne 2009).
Table S3. Technical terms defined.
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