Evidence map›Paper›PMID 42168435›Full record

ArticleScientific reports2026

Quantification of blue carbon storage in seagrass meadows across different management strategies in Lamu, Kenya.

Simangele Sithole, Cornelius Okello, Margaret Awuor Owuor

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

3 authors.

Simangele SitholeWyss Academy for Nature, University of Bern, Kochergasse 4, Bern, 3012, Switzerland. Simangele.Sithole@students.unibe.ch.
Cornelius OkelloWyss Academy for Nature, University of Bern, Kochergasse 4, Bern, 3012, Switzerland.
Margaret Awuor OwuorWyss Academy for Nature, University of Bern, Kochergasse 4, Bern, 3012, Switzerland.

Funding

Western Indian Ocean Marine Science Association MARG-I-2024-CO-4
6 · The paper itself

Abstract

Seagrass ecosystems play a crucial role in coastal carbon dynamics, yet their contribution to soil organic carbon (SOC) storage is underexplored in many areas and especially in African waters. This study assessed seagrass cover, species composition, and SOC stocks in the Lamu Archipelago, Kenya, comparing Marine Protected Areas (MPAs), Locally Managed Marine Areas (LMMAs), and unmanaged sites. Additionally, it investigated the relationships between management stratgeies and pertinent physical and chemical parameters. SOC was measured using the Loss on Ignition method and expressed as Mg C ha⁻¹. SOC stocks were higher in MPAs (89.16 ± 30.88 Mg C ha⁻¹) than in unmanaged areas, while SOC stocks in LMMAs were comparable to those in MPAs. While the MPA was associated with higher SOC stocks, these patterns may also reflect underlying environmental differences among sites, including sediment texture. SOC variability was strongly associated with sediment type, canopy cover, and disturbance intensity, with fine-grained sediments, particularly clay, linked to enhanced carbon retention. Higher SOC stocks co-occurred with the presence of large, persistent seagrass species such as Thalassodendron ciliatum and Enhalus acoroides in managed areas. This study provides the first field-based SOC estimates for Lamu's seagrass meadows, highlighting the potential of LMMAs within broader blue carbon conservation strategies.

Indexed as

CarbonCarbon SequestrationAlismatalesConservation of Natural ResourcesEcosystemGeologic SedimentsGrasslandKenyaSoilCarbonSoilBlue carbonCarbon storageLocally managed marine areasMarine protected areasSeagrassesSoil organic carbon

Identifiers

PMID42168435
PMCPMC13396621

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.