We compiled a dataset consisting of all the species involved in the illegal wildlife trade along with the reason (i.e., use-type) they were being traded. In total, the dataset includes c. 4.9k distinct taxa representing c. 3.3k species and contains c. 11k taxa-use combinations from 110 unique use-types. Our dataset can be used to conduct large-scale broad searches of the Internet to find illegally traded wildlife.
We found a pattern between US reptile trade and smuggling of live reptiles to Australia. Almost all species smuggled to Aus are legal in US trade and are popular We compared illegal smuggling of reptiles into Australia to the legal pet trade of reptiles in the US. We provide the first empirical risk watch-list for desirable reptile species being trafficked into Australia. Our findings give insight into the drivers of illegal wildlife trade and our approach provides a framework for anticipating future trends in wildlife smuggling.
The Internet can be vast source of data for the wildlife trade. However, data collected from the Internet is often numerous and messy, making data cleaning a task the requires a lot time and effort. Here, we tested if text classification can be used to speed up the process of data cleaning in relation to online data collected on the wildlife trade. We found that text classification models can predict with great accuracy relaxant advertisements, including the taxonomy of relevant species, using the text found in online advertisements. We recommend using text classification as a method to make data cleaning more efficient. Future efforts should try to pair text classification with image classification for improved efficiency.
Australian reptiles face serious conservation threats from illegal poaching fuelled by international demand and the exotic pet trade. We investigated the extent of illegal trade in a charismatic Australian lizard: the shingleback, also known as the bobtail or sleepy lizard. Using government records, media reports, and online advertisements, we found clear evidence that many shinglebacks have been illegally poached from the wild and are smuggled overseas to be traded as pets. Not only are our findings concerning from a conservation and animal welfare perspective, but they also highlight a major legal loophole. Once shinglebacks are illegally smuggled out of Australia, there are no legal actions available to prevent or regulate overseas trade. To address this, we recommend using an existing and under-utilised legislative tool (Appendix III of CITES, an international treaty) to protect Australian shinglebacks and help to curtail global trade.
The international trade in exotic vertebrate pets provides key social and economic benefits but also drives associated ecological, ethical, and human health impacts. Here, we represent and review the structure of the pet trade as a network composed of different market actors (nodes) and trade flows (links). As a case study of how data-informed networks can realize this goal, we quantified spatial and temporal patterns in pets imported to the United States. Our framework and case study illustrate how network approaches can help to inform and manage the effects of the growing demand for exotic pets.
The internet is a vast source of wildlife trade data. Here, we present an accessible guide for Internet‐based wildlife trade surveillance, which uses a repeatable and systematic method to automate data collection from relevant websites. Our guide is adaptable to the multitude of trade‐based contexts including different focal taxa or derived parts, and locations of interest.
We provide comments to The Department of Agriculture, Water and the Environment on their ‘Import risk review for psittacine birds from all countries’ draft report. Due to serious key omissions, we do not support the import of psittacine birds based on the evidence provided in the risk review. The report does not provide sufficient transparency, nor evidence-based assessments of all benefits, risks, or associated costs, of allowing the import of psittacine birds. If the Department wishes to pursue this assessment, then future risk reviews must include the associated costs of facilitating new invasive species, and provide justification on the broader societal benefits of allowing import of psittacine birds. It is our professional scientific opinion that the benefits of importing psittacine birds are outweighed by the significant damages caused by the potential introduction of new invasive species.
The live pet trade is a major pathways for invasive species. Australia imposes tough regulations against the trade of non-native animals as pets. However, there exists an illegal trade of these animals in Australia that threatens biosecurity. Here, we used government records of enquiries from the general public to assess the characteristics of species that are likely desired as pets. We found that desired species are more likely to invasive species elsewhere or at risk of extinction due to trade. Our findings suggest that in absence of strict laws, an unregulated pet trade would threaten Australian biosecurity and global conservation efforts.
Illegal wildlife trade (IWT) directly threatens tens of thousands of species. It is critical that it is taken seriously in order to safeguard our environmental assets and provide resilient landscapes for our unique flora and fauna. Here, we provide an infographic of IWT including: what it is, how bad is it, why can’t we stop it, and solutions.
The exotic pet trade is a multi-billion dollar industry involving thousands of animal species. Research has historically focused only the conservation and disease risks, however the risk of pets becoming invasive species has been overlooked. We show this trade is now the leading contributor of non-native establishments and invasions worldwide among vertebrates. We highlight areas of future research/policy changes needed to avoid more invasive pets in the future.
The trade of non-native animals as pets the main pathway for new invasive species if they become released into the wild. Here, we examined the trade in non-native reptiles and amphibians as pets in the United States. We found c. 1,700 species traded in the past two decades of which 126 species have been recorded as released in the wild. Using machine learning models, we show that larger-bodied, longer-lived species, who sold for cheaper prices were more likely to have been released. We propose policies and education focused on species with these characteristics in order to curb the impacts of new invasive species that originated as pets.