Assessing the extent and nature of wildlife trade on the dark web

Scale of unregulated international trade in Australian reptiles and amphibians

Reptiles and amphibians are popular in the exotic pet trade, where Australian species are valued for their rarity and uniqueness. Despite a near-complete ban on the export of Australian wildlife, smuggling and subsequent international trade frequently occur in an unregulated and unmonitored manner. In 2022, Australia listed over 100 squamates in Appendix III of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) to better monitor this trade. We investigated current trade and assessed the value of this Australian CITES listing using web-scraping methods to monitor the online pet trade in Australian reptiles and amphibians, with additional data from published papers, trade databases, and seizure records. Despite the export ban, we identified 170 endemic herpetofauna (reptile and amphibian) species in international trade, 33 of which were not recorded previously in the international market, including 6 newly recorded genera. Ninety-two traded species were included in CITES appendices (59 added in 2022), but at least 78 other traded species remained unregulated. Among these, 5 of the 10 traded threatened species were unlisted, and we recommend they be considered for inclusion in CITES Appendix III. We also recommend the listing of all Diplodactylidae genera in Appendix III. Despite this family representing the greatest number of Australian species in trade, only one genus (of 7 traded) was included in the recent CITES amendments. Overall, a large number of Australian reptile and amphibian species are traded internationally and, although we acknowledge the value of Australia's recent CITES listing, we recommend the consideration of other taxa for similar inclusion in CITES.

Global invasion and biosecurity risk from the online trade in ornamental crayfish

Trade in undomesticated ornamental animals has rapidly expanded beyond brick-and-mortar retail stores to now include growing numbers of internet marketplaces. The growing volume, diversity, and origins of invasive non-native species in trade challenge already weak national biosecurity policies. Despite widespread focus on vertebrates, many knowledge gaps exist regarding the online global trade of ornamental invertebrates. We conducted the first global assessment of the online trade in and associated invasion risk of freshwater crayfishes, which are increasingly popular aquarium animals. We systematically examined e-commerce marketplaces in multiple languages, scrapping information that included species identity, price, quantity, and shipping designation from each crayfish listing. Next, we combined geographic pathways of shipping associated with online trade (introduction risk) and environmental suitability modeling (establishment risk) to estimate global risk of non-native crayfish invasion risk. We identified hundreds of online marketplaces and thousands of sale listings in 33 countries (5 continents) involving 60 species and representing a selling value of ∼US$1.5 million. Invasion risk of non-native crayfish in trade was widespread, with geographic hotspots coinciding with both elevated opportunities for introduction (greater shipping offerings) and establishment. Precise characterization of the online species trade is fundamental to support new and reformed biosecurity policies, build industry partnerships, and design educational campaigns to prevent species invasions through trade. We found that the taxonomy, geography, and economics of the global online ornamental crayfish trade are vast and require greater attention.

Darkweb research: Past, present, and future trends and mapping to sustainable development goals

The Darkweb, part of the deep web, can be accessed only through specialized computer software and used for illegal activities such as cybercrime, drug trafficking, and exploitation. Technological advancements like Tor, bitcoin, and cryptocurrencies allow criminals to carry out these activities anonymously, leading to increased use of the Darkweb. At the same time, computers have become an integral part of our daily lives, shaping our behavior, and influencing how we interact with each other and the world. This work carries out the bibliometric study on the research conducted on Darkweb over the last decade. The findings illustrate that most research on Darkweb can be clustered into four areas based on keyword co-occurrence analysis: (i) network security, malware, and cyber-attacks, (ii) cybercrime, data privacy, and cryptography, (iii) machine learning, social media, and artificial intelligence, and (iv) drug trafficking, cryptomarket. National Science Foundation from the United States is the top funder. Darkweb activities interfere with the Sustainable Development Goals (SDG) laid forth by the United Nations to promote peace and sustainability for current and future generations. SDG 16 (Peace, Justice, and Strong Institutions) has the highest number of publications and citations but has an inverse relationship with Darkweb, as the latter undermines the former. This study highlights the need for further research in bitcoin, blockchain, IoT, NLP, cryptocurrencies, phishing and cybercrime, botnets and malware, digital forensics, and electronic crime countermeasures about the Darkweb. The study further elucidates the multi-dimensional nature of the Darkweb, emphasizing the intricate relationship between technology, psychology, and geopolitics. This comprehensive understanding serves as a cornerstone for evolving effective countermeasures and calls for an interdisciplinary research approach. The study also delves into the psychological motivations driving individuals towards illegal activities on the Darkweb, highlighting the urgency for targeted interventions to promote pro-social online behavior.

Decoding hidden darknet networks: What we learned about the illicit fentanyl trade on AlphaBay

The opioid epidemic, impacted from the proliferation of fentanyl, has added impetus to the need to detect fentanyl, sources of fentanyl, and places where fentanyl and drugs adulterated with fentanyl are available. Many darknet marketplaces (DNMs) have rules that ban fentanyl. However, it is unclear how these affect the fentanyl market. Using the AlphaBay DNM as a case study, we conducted mixed methods qualitative research. We scraped and analyzed data from the AlphaBay I2P website using, among other methods, content and social network analysis, to uncover hidden fentanyl networks. Our research highlights the next evolution of darknet marketplaces - the migration of DNMs from Tor to I2P and the methods that can be used identify fentanyl networks, irrespective of where sites are: I2P, Tor, or multihomed on I2P and Tor. Despite its ban in the Global AlphaBay Rules, our research revealed the sale of fentanyl on the AlphaBay DNM. Unlike previous studies, our findings predominantly revealed the covert sale of fentanyl on AlphaBay and predatory vendors selling illicit drugs, which unbeknownst to buyers, contained fentanyl. To a lesser extent, our findings identified the overt sale of fentanyl patches on AlphaBay. Although we examined only one DNM, the prevalence of the covert sale of fentanyl and the presence of predatory vendors underscores the importance of research that decodes the language of vendors who surreptitiously sell fentanyl or drugs adulterated with fentanyl or other illicit substances. The results of our research can inform strategies aimed at disrupting and dismantling DNM fentanyl networks.

Is social media the new wet market? Social media platforms facilitate the online sale of bushmeat in West Africa

Social media provides a platform for wildlife crime syndicates to access a global consumer-driven market. Whilst studies have uncovered the online trade in wildlife, the availability of wild meat (bushmeat) has not been assessed. To investigate the sale of wild meat online, we analysed 563 posts published between 2018 and 2022 from six West African Facebook pages selected using predetermined search criteria. Across 1511 images and 18 videos, we visually identified 25 bushmeat species-level taxa including mammals (six Rodentia, five Artiodactyla, three Carnivora, two Pholidota, one Primate, two Lagomorpha, one Hyracoidea), birds (three Galliformes) and reptiles (two Squamata), predominately advertised as smoked (63%) or fresh (30%) whole carcasses or portions. Among the species identified, 16% feature a status of concern on the International Union for Conservation of Nature (IUCN) Red List (Near Threatened to Endangered), 16% are listed on the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES; Appendix I and II) and 24% are either fully or partially protected by local legislation. Images were commonly used as propaganda rather than to display inventory, where additional taxa protected from game hunting in West Africa, such as hornbill, were exclusively listed in captions. The advertisement of these protected and vulnerable species on the surface web indicates weak local and international legislative enforcement. Comparatively, when the same search criteria were applied to the deep web browser Tor no results were generated, reinforcing the idea that bushmeat vendors have no need to hide their activities online. Despite local and international trade restrictions, the taxa advertised feature similarities with bushmeat seizures reported in Europe, alluding to the interconnectedness of the trade facilitated by social media. We conclude that enhanced policy enforcement is essential to combat the online sale of bushmeat and mitigate the potential biodiversity and public health impacts.

Online sale of small turtles circumvents public health regulations in the United States

In the United States (U.S.), pet turtles have been associated with outbreaks of salmonellosis, a serious and sometimes-fatal intestinal illness caused by Salmonella bacteria, with nearly 300,000 people being infected in some years. Children are particularly susceptible because of their propensity to put items, including small turtles, in their mouths. In 1975, a U.S. federal regulation prohibited the sale of turtles <4 inches (101.6 mm) in size, except for the purposes of export, scientific, or educational purposes. This regulation was established to reduce the incidence of salmonellosis, particularly in small children. Previous research has not evaluated the availability of turtles <4 inches in size on websites selling wildlife. We monitored 16 websites in 2021 and quantified listings of small turtles. We determined whether information on Salmonella, the 1975 federal regulation, or related state regulations were provided on the websites and determined legality of sales of small turtles by state regulations. We found that all 16 websites openly advertised and sold turtles <4 inches in size, but only half of these websites provided information about Salmonella and/or the federal regulation. These websites required buyers to confirm that they were not purchasing a turtle as a pet, thereby putting the onus on the consumer to adhere to the regulation. We documented 515 listings of turtles <4 inches in size, including 47 species and one hybrid. Our study has demonstrated that internet sales of small turtles currently represent part of the thriving online pet trade in the U.S. Enforcement of the federal regulation faces jurisdictional challenges in most states. Therefore, we recommend continued public education campaigns by public health agencies in the U.S. to help reduce the risk that pet turtle ownership presents.

Exploring market-based wildlife trade dynamics in Bangladesh

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.

Nomenclature in the online reptile trade

The internet has expanded opportunities for wildlife traders to conduct business globally, but monitoring this activity is often challenging. As monitoring techniques frequently employ language-based searches for particular words, it is important to understand the language traders use, particularly the nomenclature used to refer to traded species. We recorded advert data from four UK websites, focusing on reptiles, which constitute a large proportion of the international pet trade. We analysed whether the language types used by advertisers to refer to individual reptiles were associated with certain trader characteristics. We found English common names were the most frequent name type used to refer to species, regardless of the geographical location of the seller and the CITES Appendix listing of the species. However, scientific names were recorded in twice as many adverts for threatened and Near Threatened species as in adverts for non-threatened species, and only scientific names were used for three families: Anguidae, Pseudaspididae and Sphaerodactylidae. These findings could inform the creation of tailored keyword detection tools, which must account for the numerous language types in use within online wildlife trade communities. Future studies should examine the nuances of language used by other online wildlife trader communities in other contexts, such as different online platforms or different languages. The ultimate aim of these language detection tools will be to track in detail trends in the online reptile trade, offering a better understanding of potentially unsustainable trade patterns and helping authorities to enforce laws against illegal online reptile trade.

Commercial trade of wild animals: examining the use of the IUCN Red List and CITES Appendices as the basis for corporate trade policies

Wildlife exploitation is considered a predominant factor driving global biodiversity loss and zoonotic disease transmission, in addition to a range of concerns for animal welfare and ecosystem health. One of the ways in which wild animals are exploited is for commercial trade as exotic pets, fashion products, luxury foods, traditional medicine, entertainment, ornaments and more. While the trade in some wildlife species is restricted or prohibited under various domestic and international laws, many species are not bound by legal protection and are traded in largely unmonitored numbers with the potential for severe consequences. Companies, particularly large e-commerce platforms, are increasingly adopting policies to restrict the legal trade in wild animals. Due to the absence of clear guidelines for corporate services of wildlife trade, these policies commonly adopt pre-determined species lists, such as the International Union for the Conservation of Nature’s (IUCN) Red List of Threatened Species or the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Appendices, as the basis for ‘negative lists’ to guide which species to restrict trade in. However, these databases were not intended for this application and there has been no assessment of their use for this purpose. Here, we summarise and compare the scale and scope of species listed on the IUCN Red List and the CITES Appendices, to discuss how much additional protection these lists provide wild animals if used as policy instruments to guide corporate wildlife trade restrictions beyond the relevant legal bounds. Based on our results, we discuss why that using one list or another would likely omit taxa of conservation concern from protection, and using both lists in conjunction would still not comprehensively reflect all species vulnerable to extinction as a result of exploitation. Further, neither list can mitigate the animal welfare and public health concerns inherently associated with all commercial wildlife trade. We recommend that companies looking to develop policies relating to commercial wildlife trade consider going beyond the scope of predetermined species lists to help mitigate the harmful effects of commercial wildlife exploitation via trade for all wild animals.

Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India

The recent advancement in data science coupled with the revolution in digital and satellite technology has improved the potential for artificial intelligence (AI) applications in the forestry and wildlife sectors. India shares 7% of global forest cover and is the 8th most biodiverse region in the world. However, rapid expansion of developmental projects, agriculture, and urban areas threaten the country’s rich biodiversity. Therefore, the adoption of new technologies like AI in Indian forests and biodiversity sectors can help in effective monitoring, management, and conservation of biodiversity and forest resources. We conducted a systematic search of literature related to the application of artificial intelligence (AI) and machine learning algorithms (ML) in the forestry sector and biodiversity conservation across globe and in India (using ISI Web of Science and Google Scholar). Additionally, we also collected data on AI-based startups and non-profits in forest and wildlife sectors to understand the growth and adoption of AI technology in biodiversity conservation, forest management, and related services. Here, we first provide a global overview of AI research and application in forestry and biodiversity conservation. Next, we discuss adoption challenges of AI technologies in the Indian forestry and biodiversity sectors. Overall, we find that adoption of AI technology in Indian forestry and biodiversity sectors has been slow compared to developed, and to other developing countries. However, improving access to big data related to forest and biodiversity, cloud computing, and digital and satellite technology can help improve adoption of AI technology in India. We hope that this synthesis will motivate forest officials, scientists, and conservationists in India to explore AI technology for biodiversity conservation and forest management.

Trading Animal Lives: Ten Tricky Issues on the Road to Protecting Commodified Wild Animals

Wildlife commodification can generate benefits for biodiversity conservation, but it also has negative impacts; overexploitation of wildlife is currently one of the biggest drivers of vertebrate extinction risk. In the present article, we highlight 10 issues that in our experience impede sustainable and humane wildlife trade. Given humanity's increasing demands on the natural world we question whether many aspects of wildlife trade can be compatible with appropriate standards for biodiversity conservation and animal welfare, and suggest that too many elements of wildlife trade as it currently stands are not sustainable for wildlife or for the livelihoods that it supports. We suggest that the onus should be on traders to demonstrate that wildlife use is sustainable, humane, and safe (with respect to disease and invasion risk), rather than on conservationists to demonstrate it is not, that there is a need for a broad acceptance of responsibility and, ultimately, widespread behavior change. We urge conservationists, practitioners, and others to take bold, progressive steps to reach consensus and action.

Ethics and governance for internet-based conservation science research

Internet-based research is increasingly important for conservation science and has wide-ranging applications and contexts, including culturomics, illegal wildlife trade, and citizen science. However, online research methods pose a range of ethical and legal challenges. Online data may be protected by copyright, database rights, or contract law. Privacy rights may also restrict the use and access of data, as well as ethical requirements from institutions. Online data have real-world meaning, and the ethical treatment of individuals and communities must not be marginalized when conducting internet-based research. As ethics frameworks originally developed for biomedical applications are inadequate for these methods, we propose that research activities involving the analysis of preexisting online data be treated analogous to offline social science methods, in particular, nondeceptive covert observation. By treating internet users and their data with respect and due consideration, conservationists can uphold the public trust needed to effectively address real-world issues.

Who Needs the Dark Web? Exploring the Trade in Critically Endangered Plants on eBay

Stemming the illegal trade of endangered species is a critical and very difficult challenge for conservationists and law enforcement. Much effort is given to stopping the trade of "charismatic megafauna" such as tigers, elephants, and rhinoceroses. Endangered plant species, however, receive far less attention and fewer resources, resulting in devastating consequences. Plant species continue to go extinct due to illegal harvesting and selling, while just one order of plants, Orchidales, makes up more than 70% of all threatened wildlife species. This study examines the role the Internet plays in critically endangered plant transactions. Rather than focusing on the dark web for these sales, I search the e-commerce site eBay to better understand the extent to which these trades take place in plain sight. Of the 193 critically endangered plant species examined, 56 were for sale in some form on eBay during the study period. These results indicate a high degree of trading in these species, but do not necessarily indicate criminality. The complexity of the international legal frameworks regulating these transactions makes it difficult to ascertain their legality, but certain indicators point to at least a subset of these sales being unlawful. E-commerce sites like eBay must take more proactive measures to regulate sales and protect these species on the brink, for it is clear the surface web is playing an understudied and important role in fostering these cybercrimes. In sum, the dark web is unnecessary when the surface web is convenient, widely available, and scarcely policed.

A guide to using the internet to monitor and quantify the wildlife trade

The unrivaled growth in e-commerce of animals and plants presents an unprecedented opportunity to monitor wildlife trade to inform conservation, biosecurity, and law enforcement. Using the internet to quantify the scale of the wildlife trade (volume and frequency) is a relatively recent and rapidly developing approach that lacks an accessible framework for locating relevant websites and collecting data. We produced an accessible guide for internet-based wildlife trade surveillance. We detailed a repeatable method involving a systematic internet search, with search engines, to locate relevant websites and content. For data collection, we highlight web-scraping technology as an efficient way to collect data in an automated fashion at regularly timed intervals. Our guide is applicable to the multitude of trade-based contexts because researchers can tailor search keywords for specific taxa or derived products and locations of interest. We provide information for working with the diversity of websites used in wildlife trade. For example, to locate relevant content on social media (e.g., posts or groups), each social media platform should be examined individually via the site's internal search engine. A key advantage of using the internet to study wildlife trade is the relative ease of access to an increasing amount of trade-related data. However, not all wildlife trade occurs online and it may occur on unobservable sections of the internet.

A systematic survey of online trade: trade in Saiga antelope horn on Russian-language websites

Trade in wildlife is increasingly moving online, which creates significant challenges for monitoring. Numerous reports have highlighted the extent of the trade but they rarely present a methodology to facilitate replication or any form of meta-analysis. Here we present a systematic approach to surveying online trade in wildlife that builds on the well-established systematic evidence review approach. We apply this approach to investigate the online trade in saiga antelope Saiga tatarica horns on Russian-language websites. Of the 419 advertisements, the majority (217, 52%) were from Ukraine, followed by Russia (122, 29%), and were largely offers to sell (254, 61%), and represented one-off advertisements. Trade was identified on 89 websites, with the majority being on classified ads websites (68, 76%), auction.violity.com being the most popular site (156, 37%). Prices varied significantly depending on the country and how the horn was being offered (i.e. by weight or length). It is clear that saiga horn is being traded over the internet, with Ukraine and Russia comprising c. 80% of advertisements on Russian-language websites. Individuals with single advertisements dominate, suggesting website fidelity, although website usage is country-specific, potentially reflecting domestic trade. This suggests country-specific interventions could be particularly effective. A systematic approach for investigating online wildlife trade provides a clear and transparent methodology, and, given data collection is resource-intensive, allows studies to be replicated so that trends can be identified. However, this is only possible if published studies report the methodology used.

Digital data sources and methods for conservation culturomics

Ongoing loss of biological diversity is primarily the result of unsustainable human behavior. Thus, the long-term success of biodiversity conservation depends on a thorough understanding of human-nature interactions. Such interactions are ubiquitous but vary greatly in time and space and are difficult to monitor efficiently at large spatial scales. However, the Information Age also provides new opportunities to better understand human-nature interactions because many aspects of daily life are recorded in a variety of digital formats. The emerging field of conservation culturomics aims to take advantage of digital data sources and methods to study human-nature interactions and thus to provide new tools for studying conservation at relevant temporal and spatial scales. Nevertheless, technical challenges associated with the identification, access, and analysis of relevant data hamper the wider adoption of culturomics methods. To help overcome these barriers, we propose a conservation culturomics research framework that addresses data acquisition, analysis, and inherent biases. The main sources of culturomic data include web pages, social media, and other digital platforms from which metrics of content and engagement can be obtained. Obtaining raw data from these platforms is usually desirable but requires careful consideration of how to access, store, and prepare the data for analysis. Methods for data analysis include network approaches to explore connections between topics, time-series analysis for temporal data, and spatial modeling to highlight spatial patterns. Outstanding challenges associated with culturomics research include issues of interdisciplinarity, ethics, data biases, and validation. The practical guidance we offer will help conservation researchers and practitioners identify and obtain the necessary data and carry out appropriate analyses for their specific questions, thus facilitating the wider adoption of culturomics approaches for conservation applications.

Online trade in wildlife and the lack of response to COVID-19

Wildlife trade has been widely discussed as a likely origin of the COVID-19 pandemic. It remains unclear how the main actors in the wildlife trade chain responded to these discussions and to the campaigns advocating wildlife trade bans. We analyzed the content of ~20,000 posts on 41 Facebook groups devoted to wild pet trade and ran a breakpoint and a content analysis to assess when and how the COVID-19 pandemic was incorporated into the discourse within trade communities. Only 0.44% of advertisements mentioned COVID-19, mostly after WHO declared COVID-19 a pandemic. No traders discussed the role of trade in spreading diseases; instead, posts stimulated the trade in wild species during lockdown. COVID-19 potentially offers persuasive arguments for reducing wildlife trade and consumption. This effect was not demonstrated by on-the-ground actors involved in this market. Bans in wildlife trade will not be sufficient and additional strategies are clearly needed.

Wildlife trade shifts from brick-and-mortar markets to virtual marketplaces: A case study of birds of prey trade in Thailand

The shift of wildlife trade from brick-and-mortar markets to virtual online marketplaces is reported using the trade of birds of prey (raptors) in Thailand from 1968 to 2019 as a case study. We analyzed data obtained from physical market survey data for 2,782 individuals from 27 species, with 2,420 individuals reported in early surveys (1968-1988) and 362 individuals reported in later surveys (2003-2015) and online surveys (February 2017 to January 2019). We compared information on asking prices and what species were traded using two comparative approaches to analyze how species composition may have changed over time (physical markets and online platforms; pre-Internet and Internet era). In comparison with the five previous market surveys, we did not find a statistically significant difference between species and availability of species offered for sale when comparing physical bird markets and online markets. In all data sets, biological factors such as wingspan were significant factors in explaining price variation. We conclude that sustained monitoring is needed to make direct comparisons between the trade platforms. With a continued increase of wildlife trade on online platforms, we recommend increased regulation and enforcement of wildlife trade laws.

Deep learning for environmental conservation

The last decade has transformed the field of artificial intelligence, with deep learning at the forefront of this development. With its ability to 'self-learn' discriminative patterns directly from data, deep learning is a promising computational approach for automating the classification of visual, spatial and acoustic information in the context of environmental conservation. Here, we first highlight the current and future applications of supervised deep learning in environmental conservation. Next, we describe a number of technical and implementation-related challenges that can potentially impede the real-world adoption of this technology in conservation programmes. Lastly, to mitigate these pitfalls, we discuss priorities for guiding future research and hope that these recommendations will help make this technology more accessible to environmental scientists and conservation practitioners.

Global wildlife trade across the tree of life

Wildlife trade is a multibillion dollar industry that is driving species toward extinction. Of >31,500 terrestrial bird, mammal, amphibian, and squamate reptile species, ~18% (N = 5579) are traded globally. Trade is strongly phylogenetically conserved, and the hotspots of this trade are concentrated in the biologically diverse tropics. Using different assessment approaches, we predict that, owing to their phylogenetic replacement and trait similarity to currently traded species, future trade will affect up to 3196 additional species-totaling 8775 species at risk of extinction from trade. Our assessment underscores the need for a strategic plan to combat trade with policies that are proactive rather than reactive, which is especially important because species can quickly transition from being safe to being endangered as humans continue to harvest and trade across the tree of life.

Illegal trade of sun bear parts in the Malaysian states of Sabah and Sarawak

Malaysia is a known source and consumer of bear bile products in Asia, and sun bears are persistently poached to meet the demand for traditional Chinese medicine (TCM). Surveys of TCM outlets in the East Malaysian states of Sabah and Sarawak were conducted in 2018 and 2019 as part of continuing efforts to monitor the availability of bear bile products in the country. Despite being illegal, the trade in bears and their parts persists, although with fewer TCM outlets offering such products in comparison to numbers reported in previous studies. In 2012, 42% of TCM outlets in Sabah and 35.4% in Sarawak were found to contain bear bile products. This has since dropped to 35% in Sabah and 19.3% in Sarawak in 2018-2019. Gall bladders were the main type of commodity for sale in both states, and were reportedly sourced predominantly by indigenous people. It was evident that most retailers surveyed were aware that the trade in bears and their parts was strictly prohibited, and some traders claim to have stopped selling illegal bear products for this reason. However, some traders who continue to trade in these illegal commodities have become more discreet. These factors contribute to the reduction in TCM outlets observed selling bear bile products. This reduction may also be due to diminishing sun bear populations, as some traders have claimed to have stopped selling bear bile products because of the rarity of or difficulty in procuring genuine bear gall bladders. The threat of illegal trade, combined with loss and degradation of suitable habitat and food resources as well as conflict with humans, puts sun bears at considerable risk. Efforts to mitigate these threats are urgently needed. Reduction of demand for bear parts is essential, as is stronger legal protection, enhanced enforcement and increased community involvement in bear conservation actions to ensure the long-term survival of viable bear populations in Asia.

Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter

Social media is an important channel for communication, information dissemination, and social interaction, but also provides opportunities to illicitly sell goods online, including the trade of wildlife products. In this study, we use the Twitter public application programming interface (API) to access Twitter messages in order to detect and classify suspicious wildlife trafficking and sale using an unsupervised machine learning topic model combined with keyword filtering and manual annotation. We choose two prohibited wildlife animals and related products: elephant ivory and pangolin, and collected tweets containing keywords and known code words related to these species. In total, we collected 138,357 tweets filtered for these keywords over a 14-day period and were able to identify 53 tweets from 38 unique users that we suspect promoted the sale of Ivory products, though no pangolin related promoted post were detected in this study. Study results show that machine learning combined with supplement analysis approaches such as those utilized in this study have the potential to detect illegal content without the use of an existing training data set. If developed further, these approaches can help technology companies, conservation groups, and law enforcement officials to expedite the process of identifying illegal online sales and stem supply for the billion-dollar criminal industry of online wildlife trafficking.

How to improve threatened species management: An Australian perspective

Targeted threatened species management is a central component of efforts to prevent species extinction. Despite the development of a range of management frameworks to improve conservation outcomes over the past decade, threatened species management is still commonly characterised as ad hoc. Although there are notable successes, many management programs are ineffective, with relatively few species experiencing improvements in their conservation status. We identify underlying factors that commonly lead to ineffective and inefficient management. Drawing attention to some of the key challenges, and suggesting ways forward, may lead to improved management effectiveness and better conservation outcomes. We highlight six key areas where improvements are needed: 1) stakeholder engagement and communication; 2) fostering strong leadership and the development of achievable long-term goals; 3) knowledge of target species' biology and threats, particularly focusing on filling knowledge gaps that impede management, while noting that in many cases there will be a need for conservation management to proceed initially despite knowledge gaps; 4) setting objectives with measurable outcomes; 5) strategic monitoring to evaluate management effectiveness; and 6) greater accountability for species declines and failure to recover species to ensure timely action and guard against complacency. We demonstrate the importance of these six key areas by providing examples of innovative approaches leading to successful species management. We also discuss overarching factors outside the realm of management influence that can help or impede conservation success. Clear recognition of factors that make species' management more straightforward - or more challenging - is important for setting realistic management objectives, outlining strategic action, and prioritising resources. We also highlight the need to more clearly demonstrate the benefit of current investment, and communicate that the risk of under-investment is species extinctions. Together, improvements in conservation practice, along with increased resource allocation and re-evaluation of the prioritisation of competing interests that threaten species, will help enhance conservation outcomes for threatened species.

Code word usage in the online ivory trade across four European Union member states

Illegal wildlife trade is a rapidly evolving environmental crime that is expanding through e-commerce. Because of the nature of the internet, detection of online illegal wildlife and enforcement has proven to be difficult and time-consuming, often based on manual searches through the use of keywords. As a result of scrutiny, traders in elephant ivory now use code words to disguise the trade, thus adding an additional level of complexity. Here we look at the use of 19 code words and phrases associated with the online trade in elephant ivory items on eBay across four European Union (EU) member states. Results show that, in spite of eBay's ban on ivory, elephant ivory is still being offered for sale across all four sites we searched (183 ivory items offered by 113 sellers during 18 January–5 February 2017). Beyond the violation of eBay's Terms and Conditions, other potential illegalities included offers for sale across international borders without mention of CITES permit requirements, and the offer of ivory that may be considered unworked, which violates EU regulations. Code word usage was found to be consistent across all four EU countries. Although the rise of online wildlife trade is of concern, the growth of global markets may homogenize conventions within trading communities, such as in this case the code words used. Homogenization of conventions may therefore offer opportunities for tackling the illegal online trade in wildlife.

A Framework for More Effective Dark Web Marketplace Investigations

The success of the Silk Road has prompted the growth of many Dark Web marketplaces. This exponential growth has provided criminal enterprises with new outlets to sell illicit items. Thus, the Dark Web has generated great interest from academics and governments who have sought to unveil the identities of participants in these highly lucrative, yet illegal, marketplaces. Traditional Web scraping methodologies and investigative techniques have proven to be inept at unmasking these marketplace participants. This research provides an analytical framework for automating Dark Web scraping and analysis with free tools found on the World Wide Web. Using a case study marketplace, we successfully tested a Web crawler, developed using AppleScript, to retrieve the account information for thousands of vendors and their respective marketplace listings. This paper clearly details why AppleScript was the most viable and efficient method for scraping Dark Web marketplaces. The results from our case study validate the efficacy of our proposed analytical framework, which has relevance for academics studying this growing phenomenon and for investigators examining criminal activity on the Dark Web.

A novel application of mark-recapture to examine behaviour associated with the online trade in elephant ivory

The illegal trade in elephant ivory is driving the unlawful killing of elephants such that populations are now suffering unsustainable reductions. The internet is increasingly being used as a platform to conduct illegal wildlife trade, including elephant ivory. As a globally accessible medium the internet is as highly attractive to those involved in the illegal trade as it is challenging to regulate. Characterising the online illegal wildlife (ivory) trade is complex, yet key to informing enforcement activities. We applied mark-recapture to investigate behaviour associated with the online trade in elephant ivory on eBay UK as a generalist online marketplace. Our results indicate that trade takes place via eBay UK, despite its policy prohibiting this, and that two distinct trading populations exist, characterised by the pattern of their ivory sales. We suggest these may represent a large number of occasional (or non-commercial) sellers and a smaller number of dedicated (or commercial) sellers. Directing resource towards reducing the volume of occasional sales, such as through education, would enable greater focus to be placed upon characterising the extent and value of the illegal, "commercial" online ivory trade. MRC has the potential to characterise the illegal trade in ivory and diverse wildlife commodities traded using various online platforms.