Participatory co-learning for human-wildlife coexistence: Reflections on a novel program applying systems thinking, nonviolent communication, and learning-based approaches.

As wildlife habitats become increasingly fragmented, sharing landscapes with wildlife is becoming difficult and complex. Because stakeholders with diverging interests struggle to collaborate to manage human-wildlife interactions, new approaches are needed. Here we reflect on a novel participatory learning program we implemented with farmers in communal conservancies in the Zambezi region of Namibia.

Participatory scenario planning to facilitate human-wildlife coexistence.

Fostering human-wildlife coexistence requires transdisciplinary approaches that integrate multiple sectors, account for complexity and uncertainty, and ensure stakeholder participation. One such approach is participatory scenario planning, but to date, this approach has not been used in human-wildlife contexts. We devised a template for how participatory scenario planning can be applied to identify potential avenues for improving human-wildlife coexistence.

Meta-analysis of attitudes toward damage-causing mammalian wildlife.

Many populations of threatened mammals persist outside formally protected areas, and their survival depends on the willingness of communities to coexist with them. An understanding of the attitudes, and specifically the tolerance, of individuals and communities and the factors that determine these is therefore fundamental to designing strategies to alleviate human-wildlife conflict. We conducted a meta-analysis to identify factors that affected attitudes toward 4 groups of terrestrial mammals.

Size, rarity and charisma: valuing African wildlife trophies.

We explore variation in the prices paid by recreational hunters of trophy animals in Africa and its possible causes, including perceived rarity. Previous work has raised the possibility that extinction can result if demand rises fast enough as a species becomes rarer. We attempt to disentangle this from other inter-correlated influences affecting price.