Evidence map›Paper›PMID 42106430›Full record

ArticleScientific reports2026

Spatial and landscape-scale variability in global mangrove soil carbon estimates.

Lucy Carruthers, Lukas Lamb-Wotton, Jaxine Wolfe, David Lagomasino, Stuart E Hamilton

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

5 authors.

Lucy CarruthersCoastal Studies Institute, East Carolina University, Wanchese, NC, 27981, USA. carruthersl24@ecu.edu.
Lukas Lamb-WottonDepartment of Earth and Environmental Sciences, Tulane University, New Orleans, LA, 70118, USA.
Jaxine WolfeSmithsonian Environmental Research Center, Edgewater, MD, 21037, USA.
David LagomasinoCoastal Studies Institute, East Carolina University, Wanchese, NC, 27981, USA.
Stuart E HamiltonDepartment of Earth, Environment, and Planning, East Carolina University, Greenville, NC, 27858, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate global mangrove soil carbon estimates are essential, considering the critical role mangroves play in the coastal carbon cycle. However, current global estimates vary widely, ranging from 2.26 to 10.2 Pg C. Large uncertainties in carbon stocks can be challenging for effective policymaking and inaccurately estimate climate mitigation potential. Here, we identify factors driving spatial and landscape variability by comparing five global mangrove soil carbon stock models. Using the ensemble mean, we generate a global soil carbon stock estimate of 4.13 ± 0.89 Pg C (to 1 m depth). Significant (P < 0.001) spatial variability occurred in Africa and Asia, with high standard deviation between models and limited data representation. High standard deviation occurred in specific geomorphic settings, including terrigenous, deltaic, carbonate and open coasts, within microtidal sites and regions of low and high species diversity. Our findings can help guide future research and reduce uncertainties in carbon stock estimates.

Identifiers

PMID42106430
PMCPMC13347034

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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.