Journal article

Characterising uncertainty in generalised dissimilarity models

Skipton NC Woolley, Scott D Foster, Timothy D O'Hara, Brendan A Wintle, Piers K Dunstan



Generalised dissimilarity modelling (GDM) is a statistical method for analysing and predicting patterns of turnover in species composition, usually in response to environmental gradients that vary in space and time. GDM is becoming widely applied in ecology and conservation science to interpret macro-ecological and biogeographical patterns, to support conservation assessment, predict changes in species distributions under climate change and prioritise biological surveys. Inferential and predictive uncertainty is difficult to characterise using current implementations of GDM, reducing the utility of GDM in ecological risk assessment and conservation decision-making. Current practice is to und..

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Funding Acknowledgements

This work is an output of the project of the Marine Biodiversity Research Hub and Environmental Decisions Hub, funded through the Commonwealth National Environmental Research Program (NERP) and administered through the Australian Government's Department of Environment. We thank the Centre of Excellence for Environmental Decisions (CEED) for funding. Thanks also to Michael Bode, Gurutzeta Guillera-Arroita, Rebecca Leaper, Eric Lehmann and Karel Mokany for useful comments and suggestions. We thank Simon Ferrier and an anonymous referee for their useful and constructive comments on earlier drafts of this article.