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.
Understanding the structure of information flow in a group, using tools such as social network analysis, can offer important insights for conservation interventions which aim to change human behaviour. This review introduces conservation researchers and practitioners to key concepts underpinning information flows and complex contagions for interventions targeting networks of individuals.
Hunting is one of the most serious threats to biodiversity globally. While the nature and impacts of hunting have been widely studied, many of the findings have remained disconnected. We review what is known about the conservation-relevant outcomes of different hunting approaches and highlight gaps in current understanding.
Little is known about how stakeholders in real‐life conservation conflicts respond to different types of uncertainty. We explored this question using a framed field experiment and interviews for an ongoing conflict between goose conservation and farming in Scotland.
UCT can be a useful tool for estimating the extent of non-compliance within a conservation context, but careful study design, robust sampling and consistent implementation are required in order for it to be effective.