Combating the surge of illegal wildlife trade (IWT) devastating wildlife populations is an urgent global priority for conservation. There are increasing policy commitments to take action at the local community level as part of effective responses. However, there is scarce evidence that in practice such interventions are being pursued and there is scant understanding regarding how they can help. Here we set out a conceptual framework to guide efforts to effectively combat IWT through actions at community level. This framework is based on articulating the net costs and benefits involved in supporting conservation versus supporting IWT, and how these incentives are shaped by anti-IWT interventions. Using this framework highlights the limitations of an exclusive focus on "top-down," enforcement-led responses to IWT. These responses can distract from a range of other approaches that shift incentives for local people toward supporting conservation rather than IWT, as well as in some cases actually decrease the net incentives in favor of wildlife conservation.
In conservation understanding the drivers of behavior and developing robust interventions to promote behavioral change is challenging and requires a multifaceted approach. This is particularly true for efforts to address illegal wildlife use, where pervasive—and sometimes simplistic—narratives often obscure complex realities. We used an indirect questioning approach, the unmatched count technique, to investigate the drivers and prevalence of wildlife crime in communities surrounding 2 national parks in Uganda and combined scenario interviews and a choice experiment to predict the performance of potential interventions designed to tackle these crimes. Although poverty is often assumed to be a key driver of wildlife crime, we found that better‐off households and those subject to human–wildlife conflict and those that do not receive any benefits from the parks’ tourism revenue sharing were more likely to be involved in certain types of wildlife crime, especially illegal hunting. The interventions predicted to have the greatest impact on reducing local participation in wildlife crime were those that directly addressed the drivers including, mitigating damage caused by wildlife and generating financial benefits for park‐adjacent households. Our triangulated approach provided insights into complex and hard‐to‐access behaviors and highlighted the importance of going beyond single‐driver narratives.
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