Journal article
State-and-transition modelling for Adaptive Management of native woodlands
L Rumpff, DH Duncan, PA Vesk, DA Keith, BA Wintle
Biological Conservation | Published : 2011
Abstract
Adaptive Management (AM) is widely advocated as an approach to dealing with uncertainty in natural resource management as it provides an explicit framework for motivating, designing and interpreting the results of monitoring. One of the major factors impeding implementation is the failure to use appropriate process models; a core element of AM. Process models represent beliefs about the properties and dynamics of an ecological system and ecosystem responses to management. Quantitative models of ecosystem response help resolve ambiguity about the efficacy of management and facilitate iterative updating of knowledge using monitoring data. We report on the use of a state-and-transition model (S..
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Awarded by Association pour la Recherche sur le Cancer
Funding Acknowledgements
This Project was funded by the Applied Environmental Decision Analysis and Landscape Logic CERF hubs, the Goulburn-Broken Catchment Management Authority and The University of Melbourne. Thanks to workshop attendees: Matt White, Dr Steve Sinclair, Dr Garreth Kyle, Dr Graeme Newell, Dr Wendy Merrit, Chris Jones, Vanessa Keogh, and Tim Barlow. For assistance with Bayes Nets and NETICA we would like to thank Dr Terry Walshe and Dr Yung En Chee. Thanks to Prof. Ted Lefroy, Assoc. Prof. Ann Nicholson, Dr Vivienne Turner and two anonymous reviewers for helpful comments on previous versions of the manuscript. Brendan Wintle was supported by ARC Fellowship DP0774288.