Journal article

Modelling the benefits of habitat restoration in socio-ecological systems

Sacha Jellinek, Libby Rumpff, Don A Driscoll, Kirsten M Parris, Brendan A Wintle



Decisions affecting the management of natural resources in agricultural landscapes are influenced by both social and ecological factors. Models that integrate these factors are likely to better predict the outcomes of natural resource management decisions compared to those that do not take these factors into account. We demonstrate how Bayesian Networks can be used to integrate ecological and social data and expert opinion to model the cost-effectiveness of revegetation activities for restoring biodiversity in agricultural landscapes. We demonstrate our approach with a case-study in grassy woodlands of south-eastern Australia. In our case-study, cost-effectiveness is defined as the improveme..

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Awarded by ARC

Funding Acknowledgements

This project would not have been possible without the financial support of the Albert Shimmins postgraduate award (S.J.), the Albert Shimmins write-up scholarship (University of Melbourne) (S.J.), the Norman Wettenhall research grant (Si.) and the Centre of Excellence for Environmental Decisions (S.J.). L.R. was funded by an ARC Linkage Project (LP110100321). B.W was funded by the National Environment Research Program and an ARC Future Fellowship (FT100100819). D.D. was supported by the National Environmental Research Program and the Centre of Excellence for Environmental Decisions.