Local-scale dynamics and local drivers of bushmeat trade.

Bushmeat management policies are often developed outside the communities in which they are to be implemented. These policies are also routinely designed to be applied uniformly across communities with little regard for variation in social or ecological conditions. We used fuzzy-logic cognitive mapping, a form of participatory modeling, to compare the assumptions driving externally generated bushmeat management policies with perceptions of bushmeat trade dynamics collected from local community members who admitted to being recently engaged in bushmeat trading (e.g., hunters, sellers, consumers). Data were collected during 9 workshops in 4 Tanzanian villages bordering Serengeti National Park. Specifically, we evaluated 9 community-generated models for the presence of the central factors that comprise and drive the bushmeat trade and whether or not models included the same core concepts, relationships, and logical chains of reasoning on which bushmeat conservation policies are commonly based. Across local communities, there was agreement about the most central factors important to understanding the bushmeat trade (e.g., animal recruitment, low income, and scarcity of food crops). These matched policy assumptions. However, the factors perceived to drive social-ecological bushmeat trade dynamics were more diverse and varied considerably across communities (e.g., presence or absence of collaborative law enforcement, increasing human population, market demand, cultural preference). Sensitive conservation issues, such as the bushmeat trade, that require cooperation between communities and outside conservation organizations can benefit from participatory modeling approaches that make local-scale dynamics and conservation policy assumptions explicit. Further, communities' and conservation organizations' perceptions need to be aligned. This can improve success by allowing context appropriate policies to be developed, monitored, and appropriately adapted as new evidence is generated.

Conservation caring: measuring the influence of zoo visitors' connection to wildlife on pro-conservation behaviors.

Zoos in the 21st century are striving to make effective contributions to conservation. Although zoos are extremely popular and host over 600 million visitors worldwide, one challenge zoos face is how to effectively engage visitors and raise awareness and action for conservation. To this end, zoos commonly rely on charismatic megafauna, which have been shown to elicit a connection with zoo visitors. However, little is known about how to measure a connection to a species or how this connection may influence conservation behaviors. This study had two sequential objectives. The first was to develop a scale to measure visitors' connection to a species (Conservation Caring). The second was to investigate the relationship of Conservation Caring to pro-conservation behaviors, following a zoo experience. Pre- (n = 411) and post-visit (n = 452) responses were collected from three sites in order to assess the reliability and validity of a scale to measure Conservation Caring. Structural equation modeling was used to explore the relationship between Conservation Caring and pro-conservation behaviors. Conservation Caring was deemed a valid and reliable scale and was a strong predictor of species oriented behaviors (ß = 0.62), for example, "adopting" an animal, but a weak predictor for biodiversity oriented behaviors (ß = 0.07), for example, supporting sustainability policies. Results support the role zoos can play in fostering a connection to wildlife and stimulating pro-conservation behaviors. Additionally, visitors connected to a wide array of animals. On the basis of these results, zoos may recruit a wider assemblage of species as potential flagships.