8 research outputs found
The dark web trades wildlife, but mostly for use as drugs
No full textFirst published: 03 May 20231. Contemporary wildlife trade is massively facilitated by the Internet. By design, the dark web is one layer of the Internet that is difficult to monitor and continues to lack thorough investigation. 2. Here, we accessed a comprehensive database of dark web marketplaces to search across c. 2 million dark web advertisements over 5 years using c. 7 k wildlife trade-related search terms. 3. We found 153 species traded in 3332 advertisements (c. 600 advertisements per year). We characterized a highly specialized wildlife trade market, where c. 90% of dark-web wildlife advertisements were for recreational drugs. 4. We verified that 68 species contained chemicals with drug properties. Species advertised as drugs mostly comprised of plant species, however, fungi and animals were also traded as drugs. Most species with drug properties were psychedelics (45 species), including one genera of fungi, Psilocybe, with 19 species traded on the dark web. The native distribution of plants with drug properties were clustered in Central and South America. A smaller proportion of trade was for purported medicinal properties of wildlife, clothing, decoration, and as pets. 5. Synthesis and applications. Our results greatly expand on what wildlife species are currently traded on the dark web and provide a baseline to track future changes. Given the low number of advertisements, we assume current conservation and biosecurity risks of the dark web are low. While wildlife trade is rampant on other layers of the Internet, particularly on e-commerce and social media sites, trade on the dark web may still increase if these popular platforms are rendered less accessible to traders (e.g., via an increase in enforcement). We recommend focussing on surveillance of e-commerce and social media sites, but we encourage continued monitoring of the dark web periodically to evaluate potential shifts in wildlife trade across this more occluded layer of the Internet.Oliver C. Stringham, Jacob Maher, Charlotte R. Lassaline, Lisa Wood, Stephanie Moncayo, Adam Toomes, Sarah Heinrich, Freyja Watters, Charlotte Drake, Sebastian Chekunov, Katherine G. W. Hill, David Decary-Hetu, Lewis Mitchell, Joshua V. Ross, Phillip Casse
Forecasting potential invaders to prevent future biological invasions worldwide
No full textThe ever-increasing and expanding globalisation of trade and transport underpins the escalating global problem of biological invasions. Developing biosecurity infrastructures is crucial to anticipate and prevent the transport and introduction of invasive alien species. Still, robust and defensible forecasts of potential invaders are rare, especially for species without known invasion history. Here, we aim to support decision-making by developing a quantitative invasion risk assessment tool based on invasion syndromes (i.e., generalising typical attributes of invasive alien species). We implemented a workflow based on 'Multiple Imputation with Chain Equation' to estimate invasion syndromes from imputed datasets of species' life-history and ecological traits and macroecological patterns. Importantly, our models disentangle the factors explaining (i) transport and introduction and (ii) establishment. We showcase our tool by modelling the invasion syndromes of 466 amphibians and reptile species with invasion history. Then, we project these models to amphibians and reptiles worldwide (16,236 species [c.76% global coverage]) to identify species with a risk of being unintentionally transported and introduced, and risk of establishing alien populations. Our invasion syndrome models showed high predictive accuracy with a good balance between specificity and generality. Unintentionally transported and introduced species tend to be common and thrive well in human-disturbed habitats. In contrast, those with established alien populations tend to be large-sized, are habitat generalists, thrive well in human-disturbed habitats, and have large native geographic ranges. We forecast that 160 amphibians and reptiles without known invasion history could be unintentionally transported and introduced in the future. Among them, 57 species have a high risk of establishing alien populations. Our reliable, reproducible, transferable, statistically robust and scientifically defensible quantitative invasion risk assessment tool is a significant new addition to the suite of decision-support tools needed for developing a future-proof preventative biosecurity globally.Arman N. Pili, Boris Leroy, John G. Measey, Jules E. Farquhar, Adam Toomes, Phillip Cassey, Sebastian Chekunov, Matthias Grenié, Dylan van Winkel, Lisa Maria, Mae Lowe L. Diesmos, Arvin C. Diesmos, Damaris Zurell, Franck Courchamp, David G. Chappl
The pet trade of native species outside of their natural distributions within Australia is a biosecurity risk
No full textAbstract The trade of alien species as pets is increasingly recognized as a biosecurity risk due to their intentional and accidental release into the wild. However, pets are often categorized as native or non‐native at a national level, meaning that their presence outside of their native range, yet within their native country, may be an overlooked biosecurity threat. So‐called “domestic non‐natives” have established new populations across several countries and, in some cases, become invasive. Here, we investigated the extent of the domestic trade of native Australian pet species outside of their natural distributions and determined whether such locations were climatically suitable for potential alien establishments. Australia provides a unique system to explore this issue because it deters the trade of most alien species yet permits the keeping of a large diversity of native pets. We monitored trade from a popular Australian e‐commerce site used to trade native pet birds, reptiles, and amphibians (29 k advertisements over 1 year; from July 2019 to July 2020). Of the 177 native vertebrate species we observed in the pet trade, 129 species (73%) had at least some instances of their trade occurring outside of their natural distribution. We found that climatically suitable environments were present outside the native range of 90 species and that these regions were proximal to suburbs where we observed trade. Our results indicate that the “domestic non‐native” trade is widespread in Australia and that, if captive pets escape or are released into the wild in sufficient numbers, there is a risk of establishment for most of these species. We suggest that regulations pertaining to the trade of native pets ensure that careful biosecurity consideration is given in circumstances when trade occurs beyond a species' native range, both in the context of Australia and for other large countries with widespread pet industries
Forecasting potential invaders to prevent future biological invasions worldwide
No full textInternational audienceThe ever‐increasing and expanding globalisation of trade and transport underpins the escalating global problem of biological invasions. Developing biosecurity infrastructures is crucial to anticipate and prevent the transport and introduction of invasive alien species. Still, robust and defensible forecasts of potential invaders are rare, especially for species without known invasion history. Here, we aim to support decision‐making by developing a quantitative invasion risk assessment tool based on invasion syndromes (i.e., generalising typical attributes of invasive alien species). We implemented a workflow based on ‘Multiple Imputation with Chain Equation’ to estimate invasion syndromes from imputed datasets of species' life‐history and ecological traits and macroecological patterns. Importantly, our models disentangle the factors explaining (i) transport and introduction and (ii) establishment. We showcase our tool by modelling the invasion syndromes of 466 amphibians and reptile species with invasion history. Then, we project these models to amphibians and reptiles worldwide (16,236 species [c.76% global coverage]) to identify species with a risk of being unintentionally transported and introduced, and risk of establishing alien populations. Our invasion syndrome models showed high predictive accuracy with a good balance between specificity and generality. Unintentionally transported and introduced species tend to be common and thrive well in human‐disturbed habitats. In contrast, those with established alien populations tend to be large‐sized, are habitat generalists, thrive well in human‐disturbed habitats, and have large native geographic ranges. We forecast that 160 amphibians and reptiles without known invasion history could be unintentionally transported and introduced in the future. Among them, 57 species have a high risk of establishing alien populations. Our reliable, reproducible, transferable, statistically robust and scientifically defensible quantitative invasion risk assessment tool is a significant new addition to the suite of decision‐support tools needed for developing a future‐proof preventative biosecurity globally
The dark web trades wildlife, but mostly for use as drugs
No full textContemporary wildlife trade is massively facilitated by the Internet. By design, the dark web is one layer of the Internet that is difficult to monitor and lacks thorough investigation. Here, we accessed a comprehensive database of dark web marketplaces to search across c. 2 million dark web advertisements over 5 years using c. 7k wildlife trade-related search terms. We found 153 species traded in 3,332 advertisements (c. 600 advertisements per year). We characterized a highly specialized wildlife trade market, where c. 90% of dark-web wildlife advertisements were for recreational drugs. We verified that 68 species contained chemicals with drug properties. Species advertised as drugs mostly comprised of plant species, however, fungi and animals were also traded as drugs. Most species with drug properties were psychedelics (45 species), including one genera of fungi, Psilocybe, with 19 species traded on the dark web. The native distribution of plants with drug properties were clustered in Central and South America. A smaller proportion of trade was for purported medicinal properties of wildlife, clothing, decoration, and as pets. Our results greatly expand on what species are currently traded on the dark web and provide a baseline to track future changes. Given the low number of advertisements, we assume current conservation and biosecurity risks of the dark web are low. While wildlife trade is rampant on other layers of the Internet, particularly on e-commerce and social media sites, trade on the dark web may increase if these popular platforms are rendered less accessible to traders (e.g., via an increase in enforcement). We recommend focussing on surveillance of e-commerce and social media sites, but we encourage continued monitoring of the dark web periodically, to evaluate potential shifts in wildlife trade across this more occluded layer of the Internet
The dark web trades wildlife, but mostly as drugs
No full textSupporting data from publication "The dark web trades wildlife, but mostly as drugs"</p
The magnitude of legal wildlife trade and implications for species survival
No full textThe unsustainable use of wildlife is a primary driver of global biodiversity loss. No comprehensive global dataset exists on what species are in trade, their geographic origins, and trade’s ultimate impacts, which limits our ability to sustainably manage trade. The United States is one of the world’s largest importers of wildlife, with trade data compiled in the US Law Enforcement Management Information System (LEMIS). The LEMIS provides the most comprehensive publicly accessible wildlife trade database of non-the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) listed species. In total, 21,097 species and over 2.85 billion individuals were traded over the past 22 y (2000-2022). When LEMIS data are combined with CITES records, the United States imported over 29,445 wild species, including over 50% of all globally described species in some taxonomic groups. For most taxa, around half of the individuals are declared as sourced from the wild. Although the LEMIS provides the only means to assess trade volumes for many taxa, without any associated data on most wild populations, it is impossible to assess the impact on biodiversity, sustainability of trade, or any potential risk of pest or pathogen spread. These insights underscore the considerable underestimation of trade and the urgent need for other countries to adopt similar mechanisms to accurately record trade
