Austin, M., 1998. An ecological perspective on biodiversity investigations: examples from Australian eucalypt forests. Annals of the Missouri Botanical Gardens 85: 2-17.
Bond, J., 2002. Normal Distribution Two-Sample Unequal Variances. Department of Statistics, University of California, Los Angeles. http://calculators. stat.ucla.edu/powercalc/normal/n-2-unequal/n-2-uneq-var-samp.php (accessed 18 December 2003).
Burns, C.E. et al. (2003) Global climate change and mammalian species diversity in U.S. national parks. Proc. Nat. Acad. Sci. U.S.A.100, 11474-11477.
Carroll, C., W.J. Zielinski, and R.F. Noss, 1999. Using presence-absence data to build and test spatial habitat models for the fisher in the Klamath region, USA. Conservation Biology 13, no. 6 (December 1999): 1344-1359.
Chapman, A.D. and Milne, D.J. (1998). The Impact of Global Warming on the Distribution of Selected Australian Plant and Animal Species in relation to Soils and Vegetation. Canberra: Environment Australia. 130pp.
Chapman, A.D., Muñoz, M.E.S. and Koch, I. (2005). Environmental Information: Placing Biodiversity Phenomena in an Ecological and Environmental Context. Journal of Biodiversity Informatics 2: 24-41
Faith, D.P., Walker, P.A., Margules, C.R., Stein, J. and Natera, G. (2001). Practical application of biodiversity surrogates and percentage targets for conservation in Papua New Guinea. Pacific Conservation Biology 6: 289-303 http://wwwscience.murdoch.edu.au/centres/others/pcb/toc/pcb_contents_v6.html
Ferrier, S. (2002) Mapping spatial pattern in biodiversity for regional conservation planning:Where to from here? Syst. Biol. 51, 331-363
Ferrier, S. and Watson, G. (1997). An Evaluation of the Effectiveness of Environmental Surrogates and Modelling Techniques in Predicting the Distribution of Biological Diversity. Canberra: Department of Environmnet, Sport and Territories.
Hathaway, S.A., 2000. An exploratory analysis of the biogeographic distribution of herpetofauna (reptiles and amphibians) and environmental variation in San Diego County using museum records and survey data. Master’s thesis, Department of Geography, San Diego State University.
Lindenmayer, D.B., Nix, H.A., McMahon, J.P., Hutchinson, M.F., and Tanton, M.T., 1991. The conservation of Leadbeater’s possum, Gymnobelideus leadbeater (McCoy): a case study of the use of bioclimatic modelling. Journal of Biogeography 18: 371-383.
Margules, C.R. and Redhead, T.D. (1995). BioRap. Guidelines for using the BioRap Methodology and Tools. Canberra: CSIRO. 70pp.
Margules, C.R., and M.P. Austin, 1994. Biological models for monitoring species decline: the construction and use of data bases. Philosophical Transactions of the Royal Society of London 344: 69-75.
Peterson, A.T. (2003) Predictability of the geography of species’ invasions via ecological niche modeling. Q. Rev. Biol. 78, 419-433.
Peterson, A.T. et al. (2000) Geographic analysis of conservation priorities using distributional modeling and complementarity: Endemic birds and mammals in Veracruz, Mexico. Biol. Conserv. 93, 85-94.
Peterson, A.T. et al. (2001) Effects of global climate change on geographic distributions of Mexican Cracidae Ecol. Model. 144, 21-30.
Peterson, A.T., Ortega-Huerta, M.A., Bartley, J., Sánchez-Cordero, V., Soberón, J., Buddemeier, R.H. and Stockwell, D.R.B. (2002a). Future projections for Mexican faunas under global climate change scenarios. Nature 416: 626-629.
Peterson, A.T., Stockwell, D.R.B. and Kluza, D.A. (2002b). Distributional Prediction Based on Ecological Niche Modelling of Primary Occurrence Data pp. 617-623 in Scott, M.J. et al. eds. Predicting Species Occurrences. Issues of Accuracy and Scale. Washington: Island Press.
Raxworthy, CJ et al. (2003) Predicting distributions of know and unknown reptile species in Madagascar. Nature 426, 837-841.