Evidence map›Paper›PMID 41835526›Full record

ArticleACS omega2026

Effects of Different Cultivated Land Utilization Types on Heavy Metal Characteristics and Microbial Community Composition.

Xiaojia Zhou, Demiao Mu, Shunan Zheng, Dasong Lin, Gao Yu, Fen Chen, Yuebing Sun

Abstract read
In one paragraph

Article in ACS omega, 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

7 authors.

Xiaojia ZhouKey Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs (MARA),Agro-Environmental Protection Institute, MARA, Tianjin 300191, China.ORCID https://orcid.org/0009-0000-1896-9379
Demiao MuKey Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs (MARA),Agro-Environmental Protection Institute, MARA, Tianjin 300191, China.
Shunan ZhengRural Energy & Environment Agency, Ministry of Agriculture and Rural Affairs, Beijing 100125, China.
Dasong LinKey Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs (MARA),Agro-Environmental Protection Institute, MARA, Tianjin 300191, China.
Gao YuFaculty of Agricultural and Forestry Engineering and Planning, Tongren University, Tongren 554300, China.
Fen ChenFaculty of Agricultural and Forestry Engineering and Planning, Tongren University, Tongren 554300, China.
Yuebing SunKey Laboratory of Original Agro-Environmental Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs (MARA),Agro-Environmental Protection Institute, MARA, Tianjin 300191, China.ORCID https://orcid.org/0000-0001-7751-6193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a comprehensive analysis of soil heavy metals and the structure of the microbial community in various cultivated land types in an area with naturally high heavy metal content. 96 Topsoil and 20 soil profile samples were collected from agricultural soils: bare land (CK), corn (COR), paddy (RIC), and vegetable (VEG). The primary purpose of this investigation was to elucidate the underlying assembly mechanisms and key driving factors that influence dynamic changes in bacterial community composition across different cultivated land environments. Across all regions, substantial disparities were observed in bacterial diversity and levels of heavy metal contamination. The results of this study reveal that the average Cd and Cr levels in the four soil types were relatively high, with the greatest Cd contamination observed in the COR soil type. Notably, COR soils had the highest available As, Cd, Cr, Pb, and Zn levels compared to the other three types. Concerning bacterial diversity, the RIC soil type exhibited the highest levels, as demonstrated by high Shannon, Chao1, and ACE indices, compared to other land use types. Principal coordinate analysis (PCoA) and nonmetric multidimensional scaling (NMDS) results indicated that bacterial communities in RIC, VEG, and CK, COR soils showed a similar pattern. A deeper analysis of the microbial community revealed that

Identifiers

PMID41835526
PMCPMC12980424

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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.