Evidence map›Paper›PMID 41012004›Full record

ArticlePlants (Basel, Switzerland)2025

Geographical-Scale Evidence Reveals Plant Nutrient as an Effective Indicator for Coastal Carbon Emissions.

Jing Xiong, Xuexin Shao, Haidong Xu, Ming Wu

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. 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

4 authors.

Jing XiongResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.
Xuexin ShaoResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.ORCID 0000-0002-3214-6085
Haidong XuYellow River Delta Ecological Environment Research Center, Shandong University of Aeronautics, Binzhou 256603, China.
Ming WuResearch Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.

Funding

the Cooperation of Zhejiang Province and the Chinese Academy of Forestry 2023SY11 and 2021SY03the Foundation of Research Institute of Subtropical Forestry, Chinese Academy of Forestry RISFZ-2023-01the National Natural Science Foundation of China 31870597the Zhejiang Province Commonwealth Projects LTGS24C160001the Zhejiang Provincial Science and Technology Program 2023C03120; 2024C02002
6 · The paper itself

Abstract

Plant traits could help in designing feasible strategies to mitigate global change in inland wetlands, but the correlations between plant traits and carbon emissions in coastal wetlands remain unclear. Here, we investigated the plant traits (including nutrient, structural, and biomass traits) and environmental conditions (including climate and soil properties) and determined the soil carbon emissions (methane (CH

Indexed as

carbon dioxidecoastal wetlandgeographical-scalemethaneplant trait

Identifiers

PMID41012004
PMCPMC12473945

What OpenQuestion holds

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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.