Research

Metrics to assess impact on nature

I am reviewing different methods used by businesses to assess their impact on the environment in order to develop a more standardised set of metrics to measure impact and dependencies on soil, water, and biodiversity.  I am working on this project in collaboration with Gemma Cranston (at the University of Cambridge Institute for Sustainability Leadership) and Bhaskar Vira (University of Cambridge Department of Geography/Cambridge Conservation Research Institute).

For more information on this project, please see our review of how businesses assess their impact on nature, and our proposal for a biodiversity metric based on land area, land use type and sourcing location.

 

Optimal allocation of conservation funding

I am generally interested in conservation prioritisation approaches, and I have been involved in a working group focussed on developing decision frameworks for prioritising threatened species conservation under a limited budget using the Project Prioritisation Protocol (PPP) method. Within this group, I led a project in collaboration with Will Probert, Ayesha Tulloch, Joe Bennett, Liana Joseph, Hugh Possingham, and Richard Maloney (from New Zealand’s Department of Conservation) focussed on evaluating the effects of different species persistence targets on the numbers of species conserved.

I have also been collaborating with Terry Walshe, a Senior Research Scientist at the Australian Institute of Marine Science and Research Associate at the Quantitative and Applied Ecology Group at the University of Melbourne, and Parks Australia Staff from the Department of the Environment to develop an Excel-based Decision Support Tool for threatened species management in Protected Areas (see my photos here).

My third resource allocation project is with Jonathan RhodesEve McDonald-Madden, Howard Wilson, and Lochran Traill on reformulating the decision between learning further about a system or using a general “Minimum Viable Population” size as a target for management action.

 

Inferring extinction risk and causation from wildlife population declines

I am also interested in building on my PhD findings, to understand how differences in wildlife population time-series dynamics can be used as a mechanism for prioritising conservation effort and informing optimal monitoring strategies.

 

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