Evidence map›Paper›PMID 41345410›Full record

ArticleScientific data2025

A global dataset of native and alien distributions of alien species.

Manuela Gómez-Suárez, Philipp Laeseke, Hanno Seebens

Abstract readDataset
In one paragraph

Article in Scientific data, 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

3 authors.

Manuela Gómez-SuárezEcological Informatics, Department of Animal Ecology & Systematics, Justus Liebig University, Giessen, Germany. manuela.gomezsuarez@allzool.bio.uni-giessen.de.ORCID 0000-0002-6100-9207
Philipp LaesekeEcological Informatics, Department of Animal Ecology & Systematics, Justus Liebig University, Giessen, Germany.ORCID 0000-0003-1477-7163
Hanno SeebensEcological Informatics, Department of Animal Ecology & Systematics, Justus Liebig University, Giessen, Germany.ORCID 0000-0001-8993-6419

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 521529463Deutsche Forschungsgemeinschaft (German Research Foundation) 521530235
6 · The paper itself

Abstract

Biological invasions have been identified as a major threat to nature with far-reaching consequences also for human-wellbeing. Mitigating and preventing further impacts requires knowledge about the origins of alien species and their spread dynamics. While several new datasets have been published recently about alien species distributions, information about their native ranges is scarce and scattered. Here, we present a comprehensive dataset of the regions of origin and introduction of alien species worldwide. We accessed multiple global datasets of species distributions to compile, harmonize and integrate data of alien species distributions and their native ranges. Building on previous efforts, we advanced an existing workflow to allow full reproducibility and transparency in creating the dataset. The final dataset contains 427,956 records including alien distributions of 39,700 species and native distributions of 21,345 alien species in 289 regions worldwide. This dataset provides a solid foundation for analyses of alien species flows, the identification of new emerging alien species and the management of biological invasions through prioritizing major routes of spread.

Indexed as

Introduced SpeciesAnimals

Identifiers

PMID41345410
PMCPMC12678812

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.