Evidence map›Paper›PMID 42243159›Full record

ArticleScientific reports2026

Modelling the global invasion potential of Pelagia noctiluca under climate change.

Mohamed Nisin Kattassery Mohamed Nisai, Sreenath Kannanchery Ramanathan, Miriam Paul Sreeram, Saravanan Raju, Sobhana Kizhakkecheruvil Sivadas, Grinson George

Abstract read
In one paragraph

Article in Scientific reports, 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
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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

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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

6 authors.

Mohamed Nisin Kattassery Mohamed NisaiICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India.
Sreenath Kannanchery RamanathanICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India. lecologiste@gmail.com.
Miriam Paul SreeramICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India.
Saravanan RajuICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India.
Sobhana Kizhakkecheruvil SivadasICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India.
Grinson GeorgeICAR - Central Marine Fisheries Research Institute, Kochi, Kerala, 682 018, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive species are recognised as a major driver of global biodiversity loss. In marine ecosystems, blooms of non-native jellyfish species are widely perceived to be increasing globally, with impacts on food webs, ecosystem services, biogeochemical cycles, and coastal livelihoods. Pelagia noctiluca (Forsskål, 1775) is a jellyfish native to the Mediterranean Sea and the northeastern Atlantic Ocean, but has been increasingly associated with recurrent bloom events in non-native regions, which cause adverse ecological and socio-economic impacts. Here, we use an ensemble species distribution modelling framework implemented in the biomod2 package in R to assess the global habitat suitability of P. noctiluca, and to evaluate its present-day and future invasion potential across non-native marine ecosystems. Based on species occurrence records and eight environmental variables, our results indicate that P. noctiluca exhibits high habitat suitability in temperate and subtropical coastal waters, driven primarily by salinity, primary productivity, and sea surface temperature. Ultimately, by projecting a substantial future habitat contraction, our findings strongly contradict the general perception that jellyfish blooms and distribution will universally increase under global climate change.

Indexed as

Climate ChangeIntroduced SpeciesScyphozoaAnimalsBiodiversityEcosystemMediterranean SeaModels, Biologicalbiomod2Climate changeJellyfishShared socioeconomic pathwaysSpecies distribution modellingSpecies invasion

Identifiers

PMID42243159
PMCPMC13478312

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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.