The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data |
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| Affiliation: | 1. Griffith University, Gold Coast Campus, Parklands Drive, Southport, QLD, 4215, Australia;2. Department of Biological Sciences, Faculty of Science and Engineering, Macquarie University, NSW, 2109, Australia;3. Bureau of Meteorology, Melbourne, 3001, Australia;4. eResearch and the Centre for Tropical Biodiversity and Climate Change, James Cook University, Townsville, QLD, 4810, Australia;5. Centre for Ecosystem Science, School of Biological, Earth and Environmental Science, University of New South Wales, 2052, Australia;6. The Fenner School of Environment and Society, The Australian National University, Building 141 Linnaeus Way?Canberra, ACT, 2601, Australia;7. Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, United Kingdom |
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| Abstract: | Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets; and a variety of experiment types to conduct research into the impact of climate change on biodiversity.Users can upload and share datasets, potentially increasing collaboration, cross-fertilisation of ideas, and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. |
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| Keywords: | Biodiversity Climate change Virtual Laboratory Species distribution modelling |
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