Evidence map›Paper›PMID 40595838›Full record

ArticleScientific reports2025

Mechanism of arable land ecological security impact on arable land quality in different geomorphological areas of Northeast China.

Ranran Pang, Fengkui Qian, Wenbo Li

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. 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

3 authors.

Ranran PangSchool of Humanities and Law, Northeastern University, Shenyang, 110169, Liaoning, China.
Fengkui QianSchool of Humanities and Law, Northeastern University, Shenyang, 110169, Liaoning, China. fkqian@163.com.
Wenbo LiSchool of Humanities and Law, Northeastern University, Shenyang, 110169, Liaoning, China.

Funding

Key Technologies Research and Development Program 2021YFD1500200National Natural Science Foundation of China U23A2053
6 · The paper itself

Abstract

Assessing the arable land ecological security (ALES) and its quality is not only crucial for ensuring food security but also serves as an essential foundation for achieving sustainable agricultural development. This study focuses on three representative geomorphological areas in Northeast China as research subjects. It employs the bivariate spatial autocorrelation method to explore the spatial correlation between ALES and arable land quality, and uses spatial regression models to investigate the specific impact of ALES on arable land quality. The results show varying degrees of correlation between ALES and arable land quality in different geomorphological areas, and arable land quality changes with variations in ALES. To enhance arable land quality, the western low hilly area should prioritize improving the level of agricultural mechanization, while the central plain area and eastern mountain area mainly rely on the role of the net primary productivity index. When the net primary productivity index increases by 1 gC/m

Indexed as

Arable land ecological securityArable land qualityDifferent geomorphological areasImpact mechanismLiaoning provinceSpatial analysisSpatial regression model

Identifiers

PMID40595838
PMCPMC12217322

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.