Evidence map›Paper›PMID 41989983›Full record

ArticleIntegrative zoology2026

Economic Costs of Biological Invasions in Marine Systems.

Liyi Yu, Chi Zhang, Shan Li, Aibin Zhan, Stelios Katsanevakis, Phillip J Haubrock, Pierre Courtois, Melina Kourantidou, Ali Serhan Tarkan, David Renault and 5 more

Abstract read
In one paragraph

Article in Integrative zoology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Liyi YuThe Key Laboratory of Mariculture, Ministry of Education, College of Fisheries, Ocean University of China, Qingdao, Shandong, China.
Chi ZhangRural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing, China.
Shan LiShanghai Natural History Museum, Branch of Shanghai Science and Technology Museum, Shanghai, China.
Aibin ZhanResearch Center for Eco Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-1416-1238
Stelios KatsanevakisDepartment of Marine Sciences, University of the Aegean, Mytilene, Greece.
Phillip J HaubrockDepartment of Life and Environmental Sciences, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, UK.
Pierre CourtoisCenter for Environmental Economics Montpellier, University of Montpellier, CNRS, INRAE, Institut Agro Montpellier, Montpellier, France.
Melina KourantidouCNRS, University of Western Brittany, Ifremer, IRD, AMURE, IUEM, Plouzané, France.
Ali Serhan TarkanDepartment of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
David RenaultUMR CNRS 6553 EcoBio, University of Rennes, Rennes, France.
Ellen J DolanInstitute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast, UK.
Hongkun HuangRural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing, China.
Yibo ZhangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Key Laboratory of Invasive Alien Species Control of Ministry of Agriculture and Rural Affairs, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Ross N CuthbertInstitute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast, UK.
Chunlong LiuThe Key Laboratory of Mariculture, Ministry of Education, College of Fisheries, Ocean University of China, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine systems worldwide are suffering escalating impacts from biological invasions, with increasing threats projected for the future. Despite substantial financial investments in managing marine invasive species, knowledge of their impacts remains patchy across regions and organismal groups. A global assessment of economic costs is urgently needed to assess invasion risk, guide management, and identify knowledge gaps. We analyzed the total economic costs of marine biological invasions worldwide from 1975 to 2021, examining the distributions of costs across time, regions, and organismal groups. Over this period, marine invasive species have cost at least US$4.3 billion, with the majority (US$3.0 billion) resulting from resource damages rather than management investments. These costs revealed substantial geographic and organismal biases. While most entries (56.8%) were associated with invasive plants, most of the costs (76.7%) were linked to invasive invertebrates. Moreover, the majority of costs were driven by a single species within each organismal group. Economic costs were available for only 26 out of 146 coastal countries, with sporadic data from Africa and South America. Economic costs were positively associated with national GDP but unrelated to the number of invaders. Compared to terrestrial (US$2 trillion) and freshwater (US$104.8 billion) systems, marine systems had both lower numbers and magnitudes of economic costs, with all values referring to total costs between 1975 and 2021. These findings highlight the need for improved management and cost-reporting systems to better address the impacts of marine invasions. In particular, management efforts should prioritize high-risk species and highly vulnerable regions, with the development of species-specific management strategies to enhance effectiveness. Moreover, proactive measures, such as strengthened regulations and pathway management, are crucial for reducing future risks and conserving marine biodiversity.

Indexed as

Aquatic OrganismsConservation of Natural ResourcesIntroduced SpeciesAnimalseconomic costsInvaCostinvasive speciesknowledge gapsmarine systems

Identifiers

PMID41989983
PMCPMC13362285

What OpenQuestion holds

Textmetadata
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.