Evidence map›Paper›PMID 41805746›Full record

ArticlePLoS biology2026

Expanding invasive species impact assessments to the ecosystem level with EEICAT.

Laís Carneiro, Daniel Pincheira-Donoso, Boris Leroy, Sandro Bertolino, Morelia Camacho-Cervantes, Ross N Cuthbert, Alok Bang, Jane A Catford, Josie South, Steven J Cooke and 2 more

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Laís CarneiroUniversité Paris-Saclay, CNRS, AgroParisTech, Ecologie Société Evolution, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0002-3828-7751
Daniel Pincheira-DonosoSchool of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom.
Boris LeroyBiologie des Organismes et des Ecosystèmes Aquatiques, Department Adaptation du Vivant, Museum National d'Histoire Naturelle, Paris, France.
Sandro BertolinoDepartment of Life Sciences and Systems Biology, University of Turin, Torino, Italy.
Morelia Camacho-CervantesInvasive Species Ecology Lab, Institute of Marine Sciences & Limnology, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico.
Ross N CuthbertInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom.
Alok BangBiology Group, School of Arts and Sciences, Azim Premji University, Bhopal, India.
Jane A CatfordDepartment of Geography, King's College London, London, United Kingdom.
Josie SouthCentre for Invasion Biology, School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
Steven J CookeCanadian Centre for Evidence-Informed Conservation, Carleton University, Ottawa, Ontario, Canada.
Elena AnguloEstación Biológica de Doñana, CSIC, Seville, Spain.
Franck CourchampUniversité Paris-Saclay, CNRS, AgroParisTech, Ecologie Société Evolution, Gif-sur-Yvette, France.ORCID https://orcid.org/0000-0001-7605-4548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecological impacts of biological invasions vary widely in type, scale, and severity, highlighting the need for consistent assessment tools. The Environmental Impact Classification for Alien Taxa (EICAT) provides a standardized framework for assessing their effects, but focuses mainly on population-level impacts. We introduce the Extended EICAT (EEICAT), which incorporates impacts across three ecological dimensions, from individuals to ecosystems, with an impact-based approach. EEICAT enables classification of 19 impact types at the invasion-event level, making it suitable for primary research, synthesis, and management. This framework aims to improve the detection, comparison, and communication of complex ecological impacts caused by biological invasions.

Indexed as

EcosystemIntroduced SpeciesAnimalsConservation of Natural Resources

Identifiers

PMID41805746
PMCPMC12974798

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.