Evidence map›Paper›PMID 41927758›Full record

ArticleScientific reports2026

Flow-driven patterns of whale shark movement in the Red Sea.

Raquel L Ostrovski, Jesse E M Cochran, Yuri Niella, Alkiviadis Kalampokis, Israel J S Filho, Ute Langner, Royale S Hardenstine, Paula Moraga, Michael L Berumen, Burton H Jones

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
–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

10 authors.

Raquel L OstrovskiBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia. raquel.lubamboostrovski@kaust.edu.sa.
Jesse E M CochranBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Yuri NiellaIMOS Animal Tracking Facility, Sydney Institute of Marine Science, Mosman, NSW, Australia.
Alkiviadis KalampokisBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Israel J S FilhoComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Ute LangnerBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Royale S HardenstineBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Paula MoragaComputer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Michael L BerumenBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
Burton H JonesBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic ocean features (e.g., currents, eddies) can drive large-scale transport of water masses and nutrients, facilitating localized plankton blooms and affecting the migration patterns of higher trophic levels. The whale shark, Rhincodon typus, is a highly migratory planktivore known to aggregate in areas of ephemeral food abundance. While the species’ presence has been widely correlated with environmental variables such as water temperature and chlorophyll-a, the Red Sea population appears to be primarily associated with other oceanographic variables. Here, we investigated factors influencing juvenile whale shark presence within the Red Sea by correlating previously published tracking data with remote sensing measurements of environmental variables using Generalized Additive Mixed Models (GAMM). Model results revealed a significant correlation between whale shark presence and mixed-layer depth, wind direction, north-south current velocity, and temperature. The model trends and satellite-tracking analysis also indicated that whale sharks would spend more time actively following eddies within the basin. This new insight can help understand how whale sharks rely on ocean dynamics in this nutrient-poor subtropical basin, as regions influenced by wind, chlorophyll enrichment, and vertical mixing offer increased foraging opportunities for the species. It may also serve as a reference point for future research that identifies key whale shark habitats and considers the impact of climate change on preferred environments.

Indexed as

Animal MigrationSharksAnimalsEcosystemIndian OceanTemperatureWater MovementsEddiesEnvironmental variablesHabitat modelingHabitat preferencesMegafauna movementSaudi Arabia

Identifiers

PMID41927758
PMCPMC13194706

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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.