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 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.
Land use intensification frequently has unintended impacts on ecosystem services. Here, we we examine three case studies in rural Mozambique. Drawing on interviews, focus group discussions, 1576 household surveys and geospatial data from 27 Mozambican villages, we assess how wellbeing and inequality change with three common land use intensification pathways.
Conservation interventions developed with little understanding of social system dynamics can result in simplistic and misguided approaches. More effective conservation, that seeks to influence the social drivers of ecological change, requires a more nuanced and predictive understanding of these drivers. In this paper we explore how ABMs and SNAs, separately and in tandem, could be useful for understanding the dynamics of structured information flow and examine the potential benefits of promoting a cross-over between the ecological and social sciences in conservation.