CliMond: Resources


	Bioclim variable registry		The ExDet tool
Bioclim variables have become a core component of the species distribution modelling tool kit. The Bioclim registry contains the core set of 19 variables (temperature and precipitation), an extended set of 16 additional variables (solar radiation and soil moisture), and a growing list of new Bioclim variables at a global extent. Download Bioclim variables in ASCII or ESRI grid format and find out more about how these variables are calculated. [Download the data & read more here]		The ExDet tool is an informative means of exploring novelty within correlative species distribution model projections. The tool measures the similarity between two regions by accounting for both the deviation from the mean and the correlation between variables. The tool also provides an assessment of the most influential variables leading to dissimilarity. [Download the tool & read more here]


	Köppen-Geiger climatic zones
The Köppen-Geiger climate classification system partitions the world into biogeographically informative units that are useful for a range of modelling questions. Download the original 1936 publication here, as well as global Köppen-Geiger layers for the CliMond and Worldclim datasets. [Download & read more here]

Useful links

Climate Data

Future Climate Scenario Data

Coupled Model Intercomparison Project

Other

Borntraeger Science Publishers
Website template modified from a nodethirtythree design

References

• Booth, T. H., Nix, H. A., Busby, J. R. & Hutchinson, M. F. (2014) BIOCLIM: the first species distribution modelling package, its early applications and relevance to most current MAXENT studies. Diversity and Distributions, 20: 1-9. [Download]
• Harris, R. M. B., Grose, M. R., Lee, G., Bindoff, N. L., Porfirio, L. L. & Fox-Hughes, P. (2014) Climate projections for ecologists. WIRES Climate Change, 5: 621-637.[Download]
• Hutchinson M., Xu T., Houlder D., Nix H. & McMahon J. (2009). ANUCLIM 6.0 User’s Guide. Australian National University, Fenner School of Environment and Society. [Download]
• Köppen W. (1936) Das geographische System der Klimate. Handbuch der Klimatologie (ed. by W. Köppen and R. Geiger), pp. 1-44. Verlag von Gebrüder Borntraeger, Berlin. [Download]
• Kriticos D.J., Webber B.L., Leriche A., Ota N., Macadam I., Bathols J. & 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. [Download]
• Kriticos D.J., Jarošik V. and Ota N. (2014) Extending the suite of Bioclim variables: a proposed registry system and case study using principal components analysis. Methods in Ecology and Evolution, Online Early, DOI: 10.1111/2041-210X.12244 [Download]
• Peel M.C., Finlayson B. & McMahon T. (2007). Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences, 11: 1633-1644. [Download]
• Phillips S.J., Anderson R.P. & Schapire R.E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190: 231-259. [Download]
• Sutherst R.W., Maywald G.F. & Kriticos D.J. (2007). CLIMEX Version 3: User's Guide. Hearne Scientific Software Pty Ltd, www.Hearne.com.au. [Download]
• Thompson G.D., Robertson M.P., Webber B.L., Richardson D.M., Le Roux J.J. & Wilson J.R.U. (2011) Predicting sub-specific identity of invasions using distribution models: Acacia saligna as an example. Diversity and Distributions, 17: 1001-1014. [Download]
• Watterson I.G. (1996) Non-dimensional measures of climate model performance. International Journal of Climatology, 16: 379-391. [Download]
• Webber B.L., Yates C.J., Le Maitre D.C., Scott J.K., Kriticos D.J., Ota N., McNeill A., Le Roux J.J. & Midgely G.F. (2011) Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models. Diversity and Distributions, 17: 978-1000. [Download]

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