Journal article
Revealing beliefs: using ensemble ecosystem modelling to extrapolate expert beliefs to novel ecological scenarios
M Bode, CM Baker, J Benshemesh, T Burnard, L Rumpff, CE Hauser, JJ Lahoz-Monfort, BA Wintle
Methods in Ecology and Evolution | WILEY | Published : 2017
Abstract
Ecosystem-based management requires predictive models of ecosystem dynamics. There are typically insufficient empirical data available to parameterise these complex models, and so decision-makers commonly rely on beliefs elicited from experts. However, such expert beliefs are necessarily limited because (i) only a small proportion of ecosystem components and dynamics have been observed; (ii) uncertainty about ecosystem dynamics can result in contradictory expert judgements and (iii) elicitation time and resources are limited. We use an ensemble of dynamic ecosystem models to extrapolate a limited set of stated expert beliefs into a wider range of revealed beliefs about how the ecosystem will..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
We are grateful to the participants of the two expert workshops and their organisations. We also thank the partners on the ARC Linkage Project (LP120100490) that funded this work: the Victorian Malleefowl Recovery Group, Parks Victoria and Iluka Mining. M.B. and C.M.B. were supported by an ARC DECRA (DE130100572); B.W. was supported by an ARC Future Fellowship (FT100100819). T.B., J.J.L.-M. and C.E.H. were supported by an ARC Linkage grant (LP120100490), the National Environmental Research Program and the National Environmental Science Program - Threatened Species Recovery Hub.