Trends, patterns, and networks of illicit wildlife trade in Nepal: A national synthesis. Issue 9 (29th June 2020)

• Record Type: Journal Article
• Authors: Paudel, Prakash K.; Acharya, Krishna Prasad; Baral, Hem Sagar; Heinen, Joel T.; Jnawali, Shant Raj
• Is Part Of: Conservation science and practice. Volume 2:Issue 9(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-06-29
• Subjects: biodiversity conservation -- Nepal -- threatened species -- trade connectivity -- trade networks -- wildlife trade; Biodiversity conservation -- Periodicals; Biodiversity conservation; Periodicals; 333.951605
• DOI: 10.1111/csp2.247
• Languages: English
• ISSNs: 2578-4854

Abstract

Abstract: Illicit wildlife trade may have devastating consequences for Nepal's wildlife populations given its increasing national and global connectivity and proximity with large Indian and Chinese markets. Despite its potential impacts, our understanding about trends, patterns and networks of illicit wildlife trade in Nepal is very limited. Here, we provide a thorough and comprehensive national assessment of such trade in Nepal using 5 years (2011 through 2015) of data on wildlife seizures and arrests ( n = 830) collected from 73 districts. Nearly 87% of arrests included seizures, and globally threatened species were confiscated from 56% of total arrests. There were increasing trends of arrest cases over the time period for all species ( p = 0.03), leopards ( p = 0.02) and red pandas ( p = 0.002), and a decreasing trend for rhinoceros ( p = 0.04). Seizures of multiple species—especially tigers, leopards, and pangolin—in arrest cases were suggestive of international organized criminal linkages, whereas individual small‐scale seizures were likely for local, species‐specific markets. The trade networks suggested connections between species core habitats (poaching sites), cities (collection sites), and transit routes between India and China (international markets). Our results show that wildlife trade, except for rhinoceros, is increasing and trade nodes along districts bordering China and India are suggestive of large, international networks.