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City Hobart / Sydney / / Company Pearson / John Wiley & Sons Ltd / Creative Commons / Monte Carlo / / Continent Asia / North America / Europe / / Country United States / Australia / / / Event Environmental Issue / Product Issues / / Facility Oregon State University / College of Engineering / The University of New South Wales / Australian Museum / / IndustryTerm model-fitting algorithm / estimation algorithm / climate modelling software / / Organization CSIRO’s Division of Computational Informatics / University of New South Wales / Sydney / School of Mathematics and Statistics / Climate Group / Oregon State University / College of Engineering / Statistics / Evolution & Ecology Research Centre / British Ecological Society / USA Department of Agriculture / / Person Fern andez / DeChaine / / Position Bishop / *Correspondence author / Forester / analyst / / Product explanatory variables / climate variable / / ProgrammingLanguage C / / ProvinceOrState South Dakota / New South Wales / Oregon / / Region South Wales / / Technology underlying model-fitting algorithm / BBS / MCEM algorithm / simulation / estimation algorithm / / SocialTag 
Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS