Evidence map›Paper›PMID 40821433›Full record

ArticleData in brief2025

Comprehensive soil greenhouse gas flux dataset from a temperate old-growth forest: Effects of decade-long nitrogen addition and biological factor manipulation.

Junhui Zhang, Yue Gu

Abstract read
In one paragraph

Article in Data in brief, 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

2 authors.

Junhui ZhangSchool of life sciences, Qufu normal university, 57 Jingxuan West Road, Qufu, Shandong 273165, China.
Yue GuSchool of life sciences, Qufu normal university, 57 Jingxuan West Road, Qufu, Shandong 273165, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset presents greenhouse gas (CO₂, CH₄, N₂O) flux measurements and associated environmental variables from a temperate old-growth forest (approximately 300 years old) under different nitrogen addition regimes (control, short-term 1-year, and long-term 10-year treatments) combined with biological factor manipulations (root exclusion, fungal suppression, and litter removal). Data were collected throughout the 2018 growing season (May to September) at 10-day intervals. The dataset includes measurements of three greenhouse gas fluxes, δ¹³C isotopic composition, soil temperature and moisture, pH, ammonium and nitrate nitrogen, dissolved organic carbon, microbial biomass carbon and nitrogen, and total soil carbon and nitrogen. Gas fluxes were measured using the static chamber-gas chromatography method, while soil parameters were determined using standard methods including chloroform fumigation and KCl extraction techniques. The experimental design employed a systematic factorial approach with comprehensive biological factor manipulations. These data can be utilized to analyze the long-term effects of nitrogen deposition on greenhouse gas emissions from forest soils and their biological regulatory mechanisms, providing support for research on global climate change and terrestrial carbon-nitrogen cycling.

Indexed as

Biogeochemistry cycleGlobal changeLitter removalRoot exclusion

Identifiers

PMID40821433
PMCPMC12356449

What OpenQuestion holds

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LicenceCC BY-NC
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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.