Estimating identification uncertainties in CITES ‘look-alike’ species (Open Access)
Achieving sustainability in international wildlife trade encompasses a series of challenges, such as identification uncertainty for taxonomically complex groups. Although CITES has developed a ‘look-alike’ policy to collectively manage trade in morphologically similar species and thus facilitate enforcement, its effective application with regards to the export quota system is questionable. We used a multidisciplinary approach to provide an understating of the trade in a taxonomically complex genus of Malagasy chameleons. An online systematic survey of trade was undertaken to identify which species of Calumma have been the subject of trade. A matching task was employed to calculate identification error rates among species in the genus. Results suggest that the online market for Calumma is thriving, including species with long-standing zero quotas. Identification error rates varied widely, reaching high levels of error for some species pairs here identified as ‘look-alike’ species. Findings suggest manual identification technique has varying reliability, potentially resulting in misidentification by stakeholders within the trade. Such errors have negative consequences for both chameleon conservation and the long-term socio-economic development of Madagascar. An understanding of the patterns of identification error can help tailor future management and policy plans.
Alfino, S. and Roberts, D. L. 2019. Estimating identification uncertainties in CITES ‘look-alike’ species (In press). Global Ecology and Conservation. https://doi.org/10.1016/j.gecco.2019.e00648
Published: May 2019 | Categories: Research Articles
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