Evidence map›Paper›PMID 42739327›Full record

ArticlePlants (Basel, Switzerland)2026

Effects of Different Vegetation-Soil Conditions on Soil Physicochemical Properties, Enzyme Activities, and Microbial Communities in Bauxite Mine Wasteland of Southwest China.

Guangxu Zhu, Xingyun Zhao, Yunyan Wang, Yakun Zhang, Yunhe Zhao, Qiang Tu

Abstract read
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

6 authors.

Guangxu ZhuCollege of Biology and Environment Engineering, Guiyang University, Guiyang 550005, China.ORCID 0009-0008-6779-6492
Xingyun ZhaoCollege of Biology and Environment Engineering, Guiyang University, Guiyang 550005, China.
Yunyan WangCollege of Biology and Environment Engineering, Guiyang University, Guiyang 550005, China.
Yakun ZhangCollege of Biology and Environment Engineering, Guiyang University, Guiyang 550005, China.
Yunhe ZhaoCenter for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Qiang TuHelmholtz International Lab for Anti-Infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.ORCID 0000-0002-8552-9485

Funding

Central funds for guiding local science and technology 2026ZYT045National Natural Science Foundation of China U2344228the National College Student Innovation and Entrepreneurship Training Program 202310976056the science and technology innovation Program of Hunan Province 2025RC4019the Shandong province science and technology small and medium-sized enterprise innovation ability improvement project 2025TSGCXTHG005the Sixth Batch of High-level Innovative Talents Project in Guizhou Province GCC[2022] 007
6 · The paper itself

Abstract

Bauxite mining causes severe soil degradation in the ecologically fragile karst region of Southwest China, yet targeted vegetation restoration schemes remain poorly developed. This study aimed to screen promising selected restoration species and preliminarily explore their soil improvement characteristics in karst bauxite mine wastelands through a field observational survey. We investigated six vegetation-soil conditions at 0-10 cm topsoil (two-year monocultures of

Indexed as

bauxite mine wastelandkarst regionmicrobial communitysoil improvementSouthwest Chinavegetation restoration

Identifiers

PMID42739327
PMCPMC13567477

What OpenQuestion holds

Textmetadata
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.