Evidence map›Paper›PMID 42707420›Full record

ArticleFrontiers in plant science2026

Spatial variability and influencing factors of topsoil organic carbon and total nitrogen in agricultural areas of North China.

Jingyi Zhang, Yuanyuan Li, Qiong Yang, Peilin Su, Jie Chen, Zhenfu Wu

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingyi ZhangSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Yuanyuan LiSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Qiong YangSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Peilin SuSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Jie ChenSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Zhenfu WuSchool of Agricultural and Biomanufacturing Zhengzhou University, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil organic carbon (SOC) and soil total nitrogen (STN) play crucial roles in the sustainability of soil production and ecological service function. Spatially explicit estimations of SOC and STN and the identification of factors influencing the spatial variability of them are prerequisites for formulating and implementing site-specific management measures to improve soil quality. Based on 613 topsoil observations and environmental covariates, this study revealed the spatial variability of SOC and STN in agricultural areas of North China employing the random forest (RF) model, and identified the controlling factors of them. The results indicated that SOC and STN in agricultural areas of North China displayed a similar spatial distribution pattern (high in the north and low in the south), with the mean value of 14.03 g kg

Indexed as

agricultural areas North China Plaindigital soil mappingrandom forestsoil organic carbonsoil total nitrogen

Identifiers

PMID42707420
PMCPMC13547266

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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.