Species distribution modelling to support marine conservation planning: The next steps |
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| Institution: | 1. Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia;2. School of Biological Sciences, University of Queensland, Brisbane, QLD 4072, Australia;3. Department of Life Sciences, Imperial College London, Berkshire SL5 7PY, United Kingdom;4. Geography and Spatial Sciences, School of Technology, Environments and Design, University of Tasmania, Hobart, TAS 7001, Australia;5. School of Environmental Studies, University of Victoria, PO Box 1700, STN CSC, Victoria, BC, Canada;6. BirdLife International, Cambridge CB2 3QZ, United Kingdom;7. Darling Marine Center, University of Maine, Walpole, ME 04573, USA;8. Chico Mendes Institute for Biodiversity Conservation, Brazilian Ministry of Environment, Brasilia DF 70670-37, Brazil;9. eResearch Centre, James Cook University, Townsville, QLD 4811, Australia |
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| Abstract: | Species distribution models (SDMs) offer great potential for inclusion into the toolbox of today's marine environmental manager, especially with regard to marine conservation and planning. The application of SDMs in the marine environment over recent years has been varied but there are still relatively few examples in comparison with terrestrial application, and this is especially true in deep-sea marine ecosystems. This short article builds upon two recent review articles concerning the application of species distribution modelling studies in the marine realm, offering additional practical considerations for discussion. Recommendations for progressing the improved application of SDMs to support marine conservation planning are given, including combining model outputs with other data layers, metadata standards and model error. SDMs have both an urgent and long term contribution to make to marine conservation planning globally, and it is hoped that this article, in combination with developing research on marine SDMs, will contribute to some much needed discussion and inform best practice and new research to enable these models to be of greater use to marine managers. |
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| Keywords: | Species distribution model Marine ecosystem Indicator species Biological traits Metadata Model error |
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