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.