Evidence map›Paper›PMID 42318997›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Invisible invaders: A new warning flag for molecularly detected alien species (MODAS) in databases and information systems.

Tamar Guy-Haim, Eleni Christoforou, Nir Stern, Elizabeta Briski, Stelios Katsanevakis

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. 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. Invisible invaders: A new warning flag for molecularly detected alien species (MODAS) in databases and information systems.Ecological applications : a publication of the Ecological Society of America · 2026
    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

5 authors.

Tamar Guy-HaimNational Institute of Oceanography, Israel Oceanographic and Limnological Research, Haifa, Israel.ORCID https://orcid.org/0000-0002-6962-0262
Eleni ChristoforouCyprus Marine and Maritime Institute, CMMI House, Larnaca, Cyprus.
Nir SternNational Institute of Oceanography, Israel Oceanographic and Limnological Research, Haifa, Israel.
Elizabeta BriskiGEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.
Stelios KatsanevakisDepartment of Marine Sciences, University of the Aegean, Mytilene, Greece.

Funding

HORIZON EUROPE European Institute of Innovation and Technology, HORIZON-CL6-2024-BIODIV-01 101181413Ministry of Innovation, Science & Technology, eDNA-LEV project 7586/1001815659Research and Innovation Foundation, eDNA-LEV project, BILATERAL/ISRAEL(MOST)/0224/0016
6 · The paper itself

Abstract

Invasive alien species (IAS) threaten biodiversity, ecosystem functioning, and services. Early detection and monitoring are essential for preventing IAS spread and mitigating their impacts. Conventional monitoring approaches rely on physical evidence and frequently fail to detect species in inaccessible habitats, cryptic life stages, or poorly studied taxa. Advances in environmental DNA (eDNA) and other high-throughput molecular tools offer a sensitive alternative that can identify species undetectable by traditional methods. However, current regulatory frameworks require morphological verification, excluding molecularly detected IAS. Here, we propose adding molecularly detected alien species (MODAS) as a warning flag for alien species identified exclusively through molecular data. We define metadata requirements for the MODAS designation, including information on sampling, molecular analyses, DNA marker(s), sequence quality, taxonomic assignment confidence, and reference database. Incorporating MODAS flag into existing IAS databases and information systems would help prioritize validation efforts, support rapid response actions, and improve surveillance coverage, particularly in understudied or vulnerable environments. Moreover, tracking MODAS over spatial and temporal scales can provide critical feedback for refining and advancing IAS monitoring and surveillance approaches. This framework provides a precautionary, complementary approach for integrating molecular biodiversity tools into policy and management, promoting international coordination, and addressing gaps in current IAS monitoring strategies.

Indexed as

Databases, FactualEnvironmental MonitoringIntroduced SpeciesAnimalsBiodiversityDNA, EnvironmentalDNA, EnvironmentalDNA metabarcodingearly warning systemsenvironmental DNAinvasive alien species

Identifiers

PMID42318997
PMCPMC13281372

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.