Evidence map›Paper›PMID 40779621›Full record

ArticleScience advances2025

Ecological similarity governs non-native fish establishment while human pressure and native diversity shape invasion richness.

Meng Xu, Miao Fang, Anas M Usoof, Nicholas E Mandrak, Cindy Chu, Hong Qian, Yong Cao, Chunlong Liu, Ross N Cuthbert, Shao-Peng Li and 9 more

Abstract read
In one paragraph

Article in Science advances, 2025. 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

19 authors.

Meng XuPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0000-0002-2906-6471
Miao FangPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0000-0002-0924-8323
Anas M UsoofDepartment of Biology, The University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, Canada R3B 2E9.ORCID 0000-0002-8604-3233
Nicholas E MandrakDepartment of Biological Sciences, University of Toronto Scarborough, Toronto, Canada.ORCID 0000-0001-8335-9681
Cindy ChuGreat Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, Canada.ORCID 0000-0002-1914-3218
Hong QianResearch and Collections Center, Illinois State Museum, Springfield, IL, USA.ORCID 0000-0002-1381-7496
Yong CaoIllinois Natural History Survey, Prairie Research Institute, University of Illinois, Champaign, IL, USA.ORCID 0000-0002-1732-6491
Chunlong LiuThe Key Laboratory of Mariculture, Ministry of Education, College of Fisheries, Ocean University of China, Qingdao, China.
Ross N CuthbertInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.ORCID 0000-0003-2770-254X
Shao-Peng LiZhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.ORCID 0000-0002-1730-3433
Guohuan SuInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.ORCID 0000-0003-0091-9773
Pablo A TedescoCentre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 - Paul Sabatier (UT3), Toulouse, France.ORCID 0000-0001-5972-5928
Jaimie T A DickInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.
Hui WeiPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.
Fandong YuPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0009-0006-4900-889X
Lu ShuPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0000-0002-1032-6579
Xuejie WangPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.
Xidong MuPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0000-0003-4091-7430
Dangen GuPearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.ORCID 0000-0002-1310-789X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological invasions by non-native fish species pose a major threat to global freshwater ecosystems. However, our understanding of why invaders establish in some communities but not others (i.e., occurrence probability) and why some communities harbor more invaders than others (i.e., invasion richness) remains limited. Here, we combine species- and community-level analyses across taxonomic, phylogenetic, and functional dimensions to investigate both the occurrence probability and invasion richness of exotic and translocated fish species across nearly 3000 North American freshwater fish communities. We found that ecological similarity between non-native and native species primarily governed non-native fish establishment, with invaders more likely to succeed when closely related to native species. In contrast, invasion richness was largely promoted by human pressure, while native diversity reduced richness specifically for translocated species. Additionally, both the occurrence and richness of invaders increased toward lower latitudes. Together, these findings highlight the distinct yet complementary roles of environmental filtering, human activities, and biotic interactions in shaping freshwater fish invasions.

Indexed as

BiodiversityEcosystemFishesIntroduced SpeciesAnimalsFresh WaterHumansPhylogeny

Identifiers

PMID40779621
PMCPMC12333683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.