Evidence map›Paper›PMID 42588839›Full record

ArticlePlants (Basel, Switzerland)2026

Effects of Stand Spatial Structure on Soil Enzyme Activities in Chinese Fir Plantations in the Mid-Subtropical Zone of China.

Han Zhang, Xiaoyu Cao, Wende Yan, Liu He, Xinhua Huang, Yuxin Xiang, Duoyi Zhang, Manni Hu, Hongrui Du, Shuqin Yang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 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
–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

11 authors.

Han ZhangFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0009-0003-9759-596X
Xiaoyu CaoFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Wende YanNational Engineering Laboratory of Applied Technology for Forestry and Ecology in Southern China, Changsha 410004, China.
Liu HeFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Xinhua HuangFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Yuxin XiangFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Duoyi ZhangFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Manni HuFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Hongrui DuFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Shuqin YangFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
Zhuohui GaoFaculty of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.

Funding

Hunan Provincial Natural Science Foundation of China 2023JJ30991National Natural Science Foundation of China U21A20187
6 · The paper itself

Abstract

Soil enzyme activities regulate organic matter decomposition and nutrient cycling and are widely used as indicators of microbial functioning and ecosystem processes. However, the mechanisms underlying their spatial heterogeneity, particularly the role of forest stand spatial structure, remain poorly understood. This study investigated subtropical Chinese fir (

Indexed as

Chinese fir plantationsecosystem functioningredundancy analysisresponse surface analysissoil enzyme activitiesstand spatial structure

Identifiers

PMID42588839
PMCPMC13468024

What OpenQuestion holds

Textmetadata
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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.