MulƟdisciplinary approaches to understanding wildlife trade in primates

Informing its management is a growing focus and application of primatological research. However, management policies based on ecological research alone cannot address complex socioeconomic or cultural contexts as drivers of wildlife trade. Multidisciplinary research is required to understand trade complexity and identify sustainable management strategies. Multidisciplinary research combines more than one academic discipline. The articles in this issue combine methods and approaches to fill key gaps and offer a more comprehensive understanding of underlying drivers of wildlife trade. These drivers include consumer demand, enforcement patterns, source population status, and accessibility of targeted species. The articles also focus on how these drivers interact at different scales, how trade patterns relate to ethics, and the potential effectiveness of different policy interventions in reducing wildlife trade. The articles in this issue highlight the importance of considering multiple perspectives when addressing wildlife trade. Consumer demand, for example, is influenced by cultural and socioeconomic factors, while enforcement patterns are shaped by institutional and policy contexts. Source population status and accessibility of targeted species are also critical factors that must be taken into account. By integrating insights from multiple disciplines, researchers can develop a more nuanced understanding of the complex drivers of wildlife trade. Future research on primate trade should expand from multidisciplinary to interdisciplinary approaches. This involves co-creating research questions and methods with teams that integrate across different disciplines, such as cultural anthropology, ecology, economics, and public policy. Interdisciplinary research can help to identify effective policy interventions and develop sustainable management strategies that address the complex socioeconomic and cultural contexts driving wildlife trade. However, challenges limit the integration of information across disciplines, making it essential to develop strategies for overcoming these obstacles.