The information contained within this book was originally developed for the wildlife law enforcement community in connection with its mandate to enforce international endangered species trade regulations and restrictions. Thousands of copies of previous editions of this guidebook have been distributed in three languages throughout the world. The goal is to provide wildlife law enforcement officers, scientists and managers with a visual and non-destructive means of tentatively identifying the authenticity and species origin of suspected ivory for enforcement purposes, including a “probable cause” justification for seizure of suspected illegal material, at ports of entry. Emphasis also remains on carved ivory, mostly because whole teeth are easily identified.

This pocket guide was produced for quick identification of wildlife parts and products commonly sold in markets in Southeast Asia.

Identification guide for traditional Asian medicines in trade made to assist enforcers with determining which medicines and ingredients are legal or illegal, in the context of the cases they adeal with. The majority of law enforcers have no knowledge of Chinese characters and the many forms that these medicines take. This guide is primarily for law enforcers based outside Asia, in countries where large volumes of traditional Asian medicines are imported. The regions where this version of the guide may be of most use include Europe, North America and Australasia.

The trade in wildlife information exchange (TWIX) online platform features a series of tools developed to facilitate information exchange and international cooperation between law enforcement agencies across Europe and Africa.

Wildlife Alert wasdesigned for military personnel, who often purchasewildlife products as souvenirs, to determine if a productis made from a protected species. Both the United States Department of Defense and Wildlife Conservation Society agreed to make the app available to the public in an effort to better combat illegal trade, particularly in Afghanistan. The app’s database allows for over 75 species to be identified, including all species of cat from around the world. Despite its ease of use, it doesn’t allow users to report the vendor. It does, however, inform and raise awareness of the types of items that could potentially be confiscated.

China-based technology to confirm species identity through a series of questions. It takes an extra step to outsource initially unidentifiable items to external scientists. If the product is identified as illegal by the user or external scientists, steps are taken to track down the product and trader/trafficker. The app was specifically developed to support forest police, customs officers, and others in the field to address trafficking across China.

App to combat illegal wildlife trade across Asia and West Africa. It was designed to help frontline enforcement agencies, private sector employees, and the general public correctly identify, report, and handle animals and plants frequently caught in the illegal wildlife trade. WildScan hosts a comprehensive library containing information on over 600 endangered species and illegal wildlife products. The app’s identification wizard component poses four simple questions to assist users in identifying the appropriate species. It is expanding to be used globally.

The National Whistle Blower Center’s Global Wildlife Whistleblower Program is a secure worldwide web-based platform designed to educate and incentivize potential whistleblowers in order to dramatically increase the number of high-quality confidential reports essential to detect wildlife crime and enforce the laws prohibiting illegal trafficking worldwide.

Utilises stable isotope methods validated by researchers from WWF Germany and works with partners from the University of Regensburg who analyse radioactive isotopes to determine the age of ivory. Its website includes a free and readily accessible reference database of over 700 samples of ivory from African and Asian elephant range states, and was handed over to the international CITES community at COP 17 in 2016.

A machine learning-based dashboard that captures shipping invoices (electronic or paper) and conducts analytics on cargo shipment data (ex. price, weight, country of origin, taxonomic identity) for inspectors to easily identify questionable shipments. It is being tested with Canadian government agencies. It was designed to automatically analyse shipment paperwork and identify questionable shipments. Once anomalies have been identified and shipments are being inspected, officers will be supported in their decision making with an integrated species identification application.