Optimal allocation of resources to manage multiple threats
Allocation of resources to environmental problems has a relatively simple solution when threats to the environment can be considered independently and there is a single management objective; it is optimal to invest in the actions in particular locations when the marginal benefits of management are greatest.

Priority areas for restoration after 20 years. Irvine Range Project
Uncertainty in the effectiveness of actions and the prevalence of dependencies and feedbacks pose significant challenges to the effective and efficient allocation of conservation resources. Added to these complexities however are the little studied impacts of multiple threats that might interact in synergistic ways, and the directives of policy deeming the identification of actions that address more than one objective or abate more than one threat to be most desired (e.g., to sequester carbon, enhance the provision of water, and also conserve biodiversity). Under such circumstances, trade-offs will prevail and perverse outcomes are possible.
We are developing and evaluating methods to predict the impact of multiple threats and develop novel decision theory methods for dealing with uncertainty in the effectiveness of actions when managing interacting threats.
Projects
- Gondwana Link
- Irvine Ranch Natural Landmark Project
- East Kalimantan
- South East Queensland Climate Change Adaptation
People
Lochran Traill, Natalie Hoskins, Tak Iwamura, Laura Canevari Luzardo, Megan Evans
Collaborators
Key references
Wilson, K. A., M. McBride, M. Bode, and H. P. Possingham. 2006. Prioritising global conservation efforts. Nature. 440:337-340.
Wilson, K. A., E. C. Underwood, S. A. Morrison, K. R. Klausmeyer, W. W. Murdoch, B. Reyers, G. Wardell-Johnson, P. A. Marquet, P. W. Rundel, M. F. McBride, R. L. Pressey, M. Bode, J. M. Hoekstra, S. J. Andelman, M. Looker, C. Rondinini, P. Kareiva, M. R. Shaw, and H. P. Possingham. 2007. Maximising the Conservation of the World’s Biodiversity: What to do, Where and When. PLoS Biology. 5. e233
Watts, M. E., I. R. Ball, R. S. Stewart, C. J. Klein, K. Wilson, et al. 2009. Marxan with Zones: Software for optimal conservation-based land- and sea-use zoning. Environmental Modelling & Software 24:1513-1521.
Drummond S.P., Wilson K. A., Meijaard E, Watts M, Dennis R, Possingham H.P. 2010. The influence of a threatened species focus on conservation planning. Conservation Biology. 24 (2):441-449.
Wilson, K. A., E. Meijaard, S. Drummond, H. S. Grantham, L. Boitani, G. Catullo, L. Christie, R. Dennis, I. Dutton, A. Falcucci, L. Maiorano, H. P. Possingham, C. Rondinini, W. Turner, O. Venter, and M. Watts. 2010. Conserving Biodiversity in Production Landscapes. Ecological Applications. 20 (6): 1721-1732. doi: 10.1890/09-1051.1

