Skip to main navigation Skip to search Skip to main content

Biological invasions: a global assessment of geographic distributions, long-term trends, and data gaps

  • Author collaboration of "Biological invasions: a global assessment of geographic distributions, long-term trends, and data gaps"
  • , Hanno Seebens*
  • , Laura A. Meyerson
  • , David M. Richardson
  • , Bernd Lenzner
  • , Elena Tricarico
  • , Franck Courchamp
  • , Sylvia Haider
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

15 Citations (Scopus)

Abstract

Biological invasions are one of the major drivers of biodiversity decline and have been shown to have far-reaching consequences for society and the economy. Preventing the introduction and spread of alien species represents the most effective solution to reducing their impacts on nature and human well-being. However, implementing effective solutions requires a good understanding of where the species are established and how biological invasions develop over time. Knowledge of the status and trends of biological invasions is thus key for guiding research efforts, informing stakeholders and policymakers, for targeted management efforts, and preparing for the future. However, information about the status and trends of alien species is scattered, patchy, and highly incomplete, making it difficult to assess. Published reports for individual regions and taxonomic groups are available, but large-scale overviews are scarce. A global assessment therefore requires a review of available knowledge with careful consideration of sampling and reporting biases. This paper provides a comprehensive global assessment of the status and trends of alien species for major taxonomic groups [Bacteria, Protozoa, Stramenopila, Alveolata, and Rhizaria (SAR), fungi, plants, and animals] for Intergovernmental Panel of Biodiversity and Ecosystem Services (IPBES) regions. The review provides irrefutable evidence that alien species have been introduced to all regions worldwide including Antarctica and have spread to even the most remote islands. The numbers of alien species are increasing within all taxa and across all regions, and are often even accelerating. Large knowledge gaps exist, particularly for taxonomic groups other than vascular plants and vertebrates, for regions in Africa and Central Asia, and for aquatic realms. In fact, for inconspicuous species, such as Bacteria, Protozoa, and to some degree SAR and fungi, we found records for very few species and regions. Observed status and trends are thus highly influenced by research effort. More generally, it is likely that all lists for alien species of any taxonomic group and region are incomplete. The reported species numbers therefore represent minima, and we can expect additions to all lists in the near future. We identified six key challenges which need to be addressed to reduce knowledge gaps and to improve our ability to assess trends and status of biological invasions.

Original languageEnglish
JournalBiological Reviews
Volume100
Issue number6
Pages (from-to)2542-2583
Number of pages42
ISSN1464-7931
DOIs
Publication statusPublished - 12.2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Biological Reviews published by John Wiley & Sons Ltd on behalf of Cambridge Philosophical Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Research areas and keywords

  • alien
  • biogeography
  • future projections
  • invasive species
  • IPBES
  • knowledge gaps
  • Neobiota
  • non-native
  • time series
  • worldwide
  • Biology

ASJC Scopus Subject Areas

  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Fingerprint

Dive into the research topics of 'Biological invasions: a global assessment of geographic distributions, long-term trends, and data gaps'. Together they form a unique fingerprint.

Cite this