Evidence map›Paper›PMID 40596429›Full record

ArticleScientific reports2025

Global estimate of mesopelagic mesozooplankton biomass.

Yulia Egorova, Gabriel Reygondeau, William W L Cheung, Evgeny A Pakhomov

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

4 authors.

Yulia EgorovaDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, BC, Canada. egorova.uu@gmail.com.
Gabriel ReygondeauRosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, USA.
William W L CheungInstitute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC, Canada.
Evgeny A PakhomovDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global standing stock of mesozooplankton in the mesopelagic zone was assessed using estimates of particulate organic carbon (POC) and net primary productivity (NPP). These estimates were compared to published data to establish a relationship between epipelagic and mesopelagic zooplankton biomasses. The relationship between species diversity and biomass in the mesopelagic zone was examined using scatterplots and maps with 2-dimenssional scales. The results showed that NPP and POC were important predictors of mesopelagic mesozooplankton biomass (MMB). Linear models incorporating these factors were statistically significant, explaining a moderate to high proportion of variance in the predicted MMB. The spatial patterns of MMB showed higher values in some regions of the northern hemisphere, along the west coasts of continents, and in the equatorial and 50°S bands. This study provides the first estimates of MMB using two definitions of the mesopelagic zone: standard (200-1000 m depths) and variable depth. Global MMB was estimated between 0.20 and 0.91 PgC, depending on the method. High biomass values were common in regions with intermediate rarity values and high species richness coupled with high POC stocks. Surface and mesopelagic biomass spatial patterns were consistent, and the epipelagic/mesopelagic biomass ratio depended on mesopelagic zone depth, suggesting a higher MMB than previously observed.

Indexed as

BiomassZooplanktonAnimalsBiodiversityCarbonEcosystemCarbonBiomassDiversityGlobalMesopelagicTwilight zoneZooplankton

Identifiers

PMID40596429
PMCPMC12216003

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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.