Evidence map›Paper›PMID 40751389›Full record

ArticleGlobal change biology2025

Nutrient Enrichment Increases Blue Carbon Potential of Subtropical Seagrass Beds.

Bridget F Shayka, Sean Richards, Mona A Andskog, Jacob E Allgeier

Abstract read
In one paragraph

Article in Global change biology, 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.

Bridget F ShaykaDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-3445-1403
Sean RichardsDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8707-1220
Mona A AndskogDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-6767-1480
Jacob E AllgeierDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-9005-6432

Funding

David and Lucile Packard FoundationNational Science Foundation OCE 1948622
6 · The paper itself

Abstract

Seagrass beds have potential as nature-based solutions to climate change because their high rates of primary production can bury large amounts of carbon. Yet, realizing their potential necessitates improved understanding of the mechanisms contributing to carbon burial, especially in the context of nutrient enrichment, a ubiquitous threat to seagrass beds globally. Leveraging a nine-year nutrient enrichment experiment, we tested how different nutrient sources, supply rates, and ratios altered mechanisms underpinning carbon burial. Nutrient enrichment increased aboveground and decreased belowground biomass but increased carbon production and turnover, particularly belowground. To inform conservation efforts, we showed that blade height and shoot density effectively predict belowground carbon turnover and therefore provide a simple measure to assess potential belowground carbon inputs to sediment. By identifying the mechanisms that promote carbon burial in the face of nutrient enrichment, our study advances understanding of how to prioritize protection of nature-based solutions amidst this ubiquitous stressor.

Indexed as

CarbonCarbon SequestrationNutrientsBiomassClimate ChangeGeologic SedimentsCarbonNutrientsbiomass allocationcarbon burialcarbon turnoverclimate changelong‐term experimentnature‐based solutionsnitrogennutrient supply ratephosphorusproduction

Identifiers

PMID40751389
PMCPMC12317336

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.