Joining the dots in an era of uncertainty – Reviewing Myanmar’s Illegal wildlife trade and looking to the future

McEvoy, John F.; Connette, Grant M.; Huang, Qiongyu; Soe, Paing; Pyone, Khin Htet Htet; Htun, Yan Lin; Lin, Aung Naing; Thant, Aung Lwin; Htun, Wai Yan; Paing, Kaung Htet; Swe, Khine Khine; Aung, Myint; Songer, Melissa; Leimgruber, Peter

doi:10.1016/j.gecco.2022.e02179

Cited by 3 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we did not detect international wildlife trade passing through, and more monitoring is required to confirm this. Myanmar has a similar wildlife trade profile in terms of species in trade for domestic and international use and thus Chattogram could be a conduit of wildlife from Myanmar (McEvoy et al, 2022). As Dhaka is the main destination for traded wildlife, disconnecting the city from wildlife trade from source divisions (e.g.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring market-based wildlife trade dynamics in Bangladesh

Uddin

Islam²,

Akhter³

et al. 2022

Oryx

View full text Add to dashboard Cite

Wildlife markets are hotspots for illegal wildlife trade, with traders operating as a result of weak monitoring and law enforcement. Knowledge of species traded, sources, and routes used for transport is needed to identify illegal wildlife trade markets and intervene to stem trade. We conducted surveys in 13 wildlife markets across Bangladesh every month during January-December 2019 to assess the abundance and diversity of wildlife taxa traded and the factors driving this trade. Passeriformes, Columbiformes, Psittaciformes, Artiodactyla, Carnivora and Testudines were the most traded orders. Wildlife markets were also centres of trade for high-value species, including the tiger Panthera tigris, crocodile Crocodylus porosus and tortoises. In hill markets and peri-urban markets the most commonly sold species originated from nearby forests, whereas urban markets included both native species and exotic species sourced internationally. Market type, road links to the market, the presence of law enforcement agencies, proximity to a port and form of sale (live animals or byproducts) all significantly influenced what is being traded. Trade of mammals, reptiles, high-value wildlife species and threatened species was less common in markets proximal to law enforcement agencies. Markets close to seaports or airports were more likely to sell mammals, threatened species and high-value wildlife. Based on our results, we recommend a set of interventions to help reduce market-based wildlife trade in Bangladesh.

show abstract

Section: Discussionmentioning

confidence: 99%

“…South Asia acts as a source, conduit and consumer of wildlife. Myanmar has high levels of trade with neighbouring China as well as having a significant domestic market (McEvoy et al, 2022), and trade across South Asia may be growing (Yi-Ming et al, 2000; Niraj et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Exploring market-based wildlife trade dynamics in Bangladesh

Uddin

Islam²,

Akhter³

et al. 2022

Oryx

View full text Add to dashboard Cite

show abstract

Distribution status and influence of climate change on patterns of distribution of hornbills in Sri Lanka

Wijerathne,

Vidanapathirana,

Panduwawala

et al. 2024

Global Ecology and Conservation

View full text Add to dashboard Cite

Quantifying species biases among multidata sources on illegal wildlife trade and its implications for conservation

Hu,

Liang,

Liang

et al. 2024

Conservation Biology

View full text Add to dashboard Cite

Unsustainable wildlife consumption and illegal wildlife trade (IWT) threaten biodiversity worldwide. Although publicly accessible data sets are increasingly used to generate insights into IWT, little is known about their potential bias. We compared three typical and temporally corresponding data sets (4204 court verdicts, 926 seizure news reports, and 219 bird market surveys) on traded birds native to China and evaluated their possible species biases. Specifically, we evaluated bias and completeness of sampling for species richness, phylogeny, conservation status, spatial distribution, and life‐history characteristics among the three data sets when determining patterns of illegal trade. Court verdicts contained the largest species richness. In bird market surveys and seizure news reports, phylogenetic clustering was greater than that in court verdicts, where songbird species (i.e., Passeriformes) were detected in higher proportions in market surveys. The seizure news data set contained the highest proportion of species of high conservation priority but the lowest species coverage. Across the country, all data sets consistently reported relatively high species richness in south and southwest regions, but markets revealed a northern geographic bias. The species composition in court verdicts and markets also exhibited distinct geographical patterns. There was significant ecological trait bias when we modeled whether a bird species is traded in the market. Our regression model suggested that species with small body masses, large geographical ranges, and a preference for anthropogenic habitats and those that are not nationally protected were more likely to be traded illegally. The species biases we found emphasize the need to know the constraints of each data set so that they can optimally inform strategies to combat IWT.

show abstract

Joining the dots in an era of uncertainty – Reviewing Myanmar’s Illegal wildlife trade and looking to the future

Cited by 3 publications

References 26 publications

Exploring market-based wildlife trade dynamics in Bangladesh

Exploring market-based wildlife trade dynamics in Bangladesh

Distribution status and influence of climate change on patterns of distribution of hornbills in Sri Lanka

Quantifying species biases among multidata sources on illegal wildlife trade and its implications for conservation

Contact Info

Product

Resources

About