Evidence map›Paper›PMID 39953057›Full record

ArticleScientific reports2025

Nitrogen addition restricts key soil ecological enzymes and nutrients by reducing microbial abundance and diversity.

Xiaodong Li, Lianbo Su, Ming Jing, Keqin Wang, Chenggong Song, Yali Song

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Forecasting Root Rot Disease through Predictive Microbial Functional Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Review
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

6 authors.

Xiaodong LiCollege of Ecology and Environment, Southwest Forestry University, Kunming, 650224, Yunnan, China.
Lianbo SuYangbi Walnut Research Institute, Yunnan Provincial Academy of Forestry and Grassland Sciences, Dali, 671000, Yunnan, China.
Ming JingChina Natural Resources News, Beijing, 100860, China. jingmingnongda@126.com.
Keqin WangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, 650224, Yunnan, China.
Chenggong SongCollege of Ecology and Environment, Southwest Forestry University, Kunming, 650224, Yunnan, China.
Yali SongCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, 650224, Yunnan, China. songyali@swfu.edu.cn.

Funding

Agricultural Joint Special Project of Yunnan Province 202301BD070001-059the First-Class Discipline Construction Project of Yunnan Province [2022] No. 73the Long-term Scientific Research Base of Yuxi Forest Ecosystem National in Yunnan Province 2020132550the Natural Ecology Monitoring Network Project Operation Project of Yuxi Forest Ecological Station in Yunnan Province 2024-YN-13Yunnan Fundamental Research Projects 202401AT070262
6 · The paper itself

Abstract

Microorganisms are critical in forest ecosystems, where they secrete soil ecological enzymes and mediate nutrient cycling. These processes are essential in determining how these ecosystems respond to nitrogen (N) addition inputs. In this study, an N addition experiment was conducted with three levels of N addition treatments in a subtropical evergreen broad-leaved forest in southwest China. The aim was to identify the effects of low (LN: 10 g m

Indexed as

NitrogenNutrientsSoilSoil MicrobiologyBacteriaBiodiversityChinaEcosystemForestsFungiMicrobiotaUreaseNitrogenNutrientsSoilUreaseEvergreen broad-leaved forestMicrobial communityNitrogen additionSoil enzymesSoil nutrients

Identifiers

PMID39953057
PMCPMC11829034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.