Over 100,000 Species Are Now Trapped in Global Wildlife Trade Networks

Up to 107,356 wild species are currently exploited in global trade and utilization networks, according to a sweeping re-evaluation that more than doubles previous international estimates. The research, published in Science Advances, reveals that monitoring frameworks overlook the vast majority of exploited flora and fauna, leaving global conservation targets built on blind spots.

Why Global Biodiversity Monitors Miss Tens of Thousands of Species

Global analyses like those from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services previously estimated that roughly 50,000 species participate in international trade. By synthesizing international databases, wildlife trade monitoring programs, and regional records, researchers uncovered at least 107,356 species in use and trade worldwide. This total encompasses up to 47,685 animal species, which covers 42 percent of all described vertebrate species on Earth.

Most countries lack any systematic data collection for species that fall outside the purview of the Convention on International Trade in Endangered Species of Wild Fauna and Flora, known as CITES. The primary exception is the United States database known as the Law Enforcement Management Information System, or LEMIS, which catalogs wildlife imported into and exported out of the country. That single national dataset frequently captures a higher diversity of traded species than broader global repositories, demonstrating how severely other nations underreport their wildlife commerce.

How Fragmented Data Hides the True Scale of Animal and Plant Exploitation

The investigation highlights a profound disconnect between the international treaties designed to safeguard nature and the reality of commercial markets. While CITES tightly regulates species at risk of extinction, it covers only a fraction of total biodiversity in trade, leaving groups like invertebrates, reptiles, and amphibians heavily underrepresented. For instance, while CITES lists thousands of orchid varieties, many other plants and animals move through commercial networks with virtually no species-specific oversight.

The authors note that legal trade volumes vastly outstrip illegal trafficking, yet assessing the sustainability of legal commerce remains exceptionally difficult. Harmonized customs codes often group thousands of distinct organisms under single categories, masking specific taxa and preventing accurate population impact assessments. Without species-level transparency, conservationists cannot reliably gauge whether harvest rates are sustainable or driving vulnerable populations toward local extirpation.

What Automated Technologies Could Mean for Future Wildlife Monitoring

To overcome these persistent data gaps, the research team suggests modernizing customs procedures through automated digital systems and optical character recognition. By digitizing trade declarations and integrating machine learning algorithms with taxanomic databases, border authorities could automatically cross-reference shipments against baseline data, flag suspicious pricing anomalies, and detect illegal laundering in real time.

Establishing universal recording standards based on existing frameworks like CITES and LEMIS would require coordinated international investment and political will. The authors emphasize that collecting robust, transparent trade data is a vital foundational step to halt biodiversity loss, prevent biological invasions, and manage emerging zoonotic health risks before unchecked commercial exploitation damages global ecosystems permanently.

The research was published in Science advances on October 30, 2026.