Fiona M Underwood

Statistical consultancy & research

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Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

International commercial trade is one of the greatest threats to many wildlife species. The conservation community is often deeply divided on how to manage the trade to ensure the long-term sustainability of these species. Trade strategies range from a ban on all trade, to various forms of regulated trade. The impact a strategy will have […]

Filed Under: Bayesian Belief Networks, Causality, Illegal wildlife trade Tagged With: Bayesian Belieft Networks, Collaboration, wildlife trade

The influence of catch share management on MSC assessment scores

MRAG Americas. Funded by the Gordon and Betty Moore Foundation Aim MRAG Americas were asked to explore whether fisheries managed using catch shares score measurably differently under the Marine Stewardship Council (MSC) certification standard than those not managed using catch shares. Catch share management is where a specific proportion of the catch is allocated to individuals, […]

Food security in and around Savé Valley Conservancy

Background The Savé Valley Conservancy (SVC) is a collaboratively-managed wildlife area in the south east of Zimbabwe. It was created in 1991 from 18 former cattle ranches. On its creation a double 350km perimeter game fence was constructed, 14 species reintroduced and a security system of ranch-based anti-poaching teams was established to control illegal hunting. […]

ABOUT ME

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I have experience of collaborating on problems in natural resources management, food security, climate change, international development and the illegal wildlife trade. For more see [...]

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  • Using seizures data to describe the scope and scale of transnational organized crime
  • Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

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