Abstract
Overexploitation of wildlife is a major driver of biodiversity loss. International wildlife trade is regulated and monitored at local, national, regional and global scales through a variety of mechanisms, including Multilateral Environment Agreements (MEAs), with CITES playing a key role. Whilst databases and systems are available to measure, monitor, and manage legal trade, the data for species that fall outside the scope of existing MEAs are both limited and highly fragmented. Illegal trade further complicates efforts to monitor and manage wildlife trade, and under-regulation creates ‘grey-areas’ of purportedly legal trade. Here, we review available wildlife trade monitoring programs to assess how complete is our understanding of international wildlife trade. We find that far more species are in international legal trade than are regulated through international agreements. We found that 24,331- 42,385 animal species, including at least 22.3-42% of described vertebrate species, are in international trade. When including plants, this number increases to at least 102,056 species in use and trade. However, the US-specific LEMIS dataset, despite being only national in scope, frequently had higher diversity of species in trade than global databases. This highlights the current fragmentation and incompleteness of global wildlife trade data. Yet, whilst the US is the only country to make national level data available publicly, most countries have programs to control wildlife collection and import, which could be modified to monitor trade. Standardised collation of wildlife trade data would enable more sustainable trade of wildlife globally.
Full text
2,514 characters
· extracted from
oa-doi-fallback
· click to expand
This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
You must log in to post a comment.
There are no comments or no comments have been made public for this article.
This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
Add a Comment
You must log in to post a comment.
Comments
There are no comments or no comments have been made public for this article.
Overexploitation of wildlife is a major driver of biodiversity loss. International wildlife trade is regulated and monitored at local, national, regional and global scales through a variety of mechanisms, including the UN, Multilateral Environment Agreements (MEAs), with CITES playing a key role. Whilst databases and systems are available to measure, monitor, and manage legal trade, the data for species that fall outside the scope of existing MEAs are both limited and highly fragmented. Illegal trade further complicates efforts to monitor and manage wildlife trade, and under-regulation creates ‘grey-areas’ of purportedly legal trade. Here, we review available wildlife trade monitoring programs to assess how complete is our understanding of international wildlife trade. We find that far more species are in international legal trade than are regulated through international agreements. We found that 24,331- 42,385 animal species, including at least 22.3-42% of described vertebrate species, are in international trade. When including plants, this number increases to at least 102,056 species in use and trade. However, the US-specific LEMIS dataset, despite being only national in scope, frequently had higher diversity of species in trade than global databases. This highlights the current fragmentation and incompleteness of global wildlife trade data. Yet, whilst the US is the only country to make national level data available publicly, most countries have programs to control wildlife collection and import, which could be modified to monitor trade. Standardised collation of wildlife trade data would enable more sustainable trade of wildlife globally.
https://doi.org/10.32942/X2T66D
Biodiversity, Ecology and Evolutionary Biology
Threatened species; Global Biodiversity Framework; Conservation targets; Sustainable use; Conservation gaps
Published: 2026-01-29 06:50
Last Updated: 2026-04-17 17:07
CC-BY Attribution-NonCommercial 4.0 International
Conflict of interest statement:
None
Data and Code Availability Statement:
Data will be available on release
Language:
English
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.