Evidence map›Paper›PMID 40896095›Full record

ArticleEcology and evolution2025

Enhancing Wildlife Trade Monitoring in the European Union-No Need to Reinvent the Wheel.

Monica V Biondo, Ricardo Calado

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Monica V BiondoFondation Franz Weber Bern Switzerland.ORCID https://orcid.org/0000-0001-6840-7403
Ricardo CaladoECOMARE-Laboratory for Innovation and Sustainability of Marine Biological Resources, CESAM-Centre for Environmental and Marine Studies, Department of Biology Santiago University Campus, University of Aveiro Aveiro Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity loss is mainly driven by changes in land use and overexploitation, with the commercial trade of wildlife being a smaller but still important contributor to resource depletion and species decline. The trade-including live animals, plants, fungi, and derived products-is a major economic sector valued at US$145-220 billion annually. The European Union (EU) is a key market, importing wildlife products worth approximately €100 billion. While legal trade has surged, illegal wildlife trade remains a significant transnational crime, estimated at US$20 billion annually and threatening endangered species. Monitoring wildlife trade is challenged by species-level data gaps and inadequate regulation of many traded species, hindering conservation efforts and increasing biosecurity risks, including the transmission of zoonotic diseases. Global databases, like the United Nations Comtrade, provide insufficient species-specific details, limiting regulatory effectiveness. The EU's database Trade Control and Expert System (TRACES) offers a powerful, underutilized tool for wildlife trade monitoring. Originally designed for biosecurity, TRACES enables real-time tracking of wildlife imports across 90+ countries in 39 languages. It facilitates detailed data collection, cross-border information sharing, accurate species identification, automated processing, and enhanced risk assessment. However, studies indicate that significant gaps in species identification persist, which could be mitigated through stricter enforcement and data verification. A more effective use of TRACES is needed to reinforce the EU's leadership in sustainable wildlife trade regulation, protecting endangered species while promoting ecological integrity.

Indexed as

European UnionmonitoringTRACESwildlife trade

Identifiers

PMID40896095
PMCPMC12394888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.