The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data

Hallgren, Willow, Beaumont, Linda, Bowness, Andrew, Chambers, Lynda, Graham, Erin, Holewa, Hamish, Laffan, Shawn, Mackey, Brendan, Nix, Henry, Price, Jeff, Vanderwal, Jeremy, Warren, Rachel and Weis, Gerhard (2016) The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data. Environmental Modelling and Software, 76. pp. 182-186. ISSN 1873-6726

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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.

Item Type: Article
Additional Information: © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Uncontrolled Keywords: biodiversity,climate change,virtual laboratory,species distribution modelling
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: Pure Connector
Date Deposited: 08 Jan 2016 10:00
Last Modified: 22 Jul 2020 00:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/56156
DOI: 10.1016/j.envsoft.2015.10.025

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