Using camera trap data from three properties across the American Prairie Reserve, Montana, we investigated the effects of fencing on four ungulate species. Averaged across species and demographics, a wildlife‐friendly fencing design increased the probability that ungulates successfully crossed a fence and reduced the time taken to cross, but had limited effects on species' crossing behaviour.
The World Bank's social and environmental safeguard policies were recently updated in the new Environmental and Social Framework. Although elements of the new policy have the potential to benefit conservation, Concerns have been raised that the policy is now too flexible and lacks clear definitions for key terms.
We develop an experimental, framed public goods game to test how support for otherwise identical elephant conflict interventions varies with perceptions of the trustworthiness of two different intervening groups. Our result show that participants cooperate more with interveners they perceive to be more trustworthy and that different aspects of trustworthiness matter differentially.
Using an experimental approach, we investigated the effect of search effort, habitat, season, and team on rangers' detection of snares in a tropical forest landscape. Our results suggest that snare detectability in tropical forest landscapes is likely to be low, and may not improve dramatically with increased search effort.
We present an overview of the opportunities and limitations associated with "messy" data: unstructured observational data, such as citizen science records or ranger patrol observations. We explain how the preferences, skills, and incentives of data collectors affect the quality of the information they contain and the investment required to unlock their potential.
We examine the common patterns and differentiated ways women are affected by Tanzania’s Wildlife Management Areas, using data from 937 married women in 42 villages across six WMAs and matched controls in Northern and Southern Tanzania.
We measure the impact of Tanzania’s Wildlife Management Areas (WMAs), a national community-based conservation and poverty reduction initiative using a novel, cost-effective impact evaluation method based on participatory wealth ranking and Bayesian multilevel modelling.
We use empirical case studies on the impacts of El Niño on smallholder households from five countries to test the application of quantitative data aggregation for policy recommendation. Wwhile cross-study results partially align with the findings from the individual projects and with theory, several challenges associated with quantitative aggregation remain when examining complex, contextual and multi-dimensional concepts such as resilience.