ORIGINAL RESEARCH
Pattern and Formation Mechanism of
Cultivated Land Ecological Security Based on
Interactions: A Case Study on the Middle and
Lower Reaches of the Yellow River, China
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1
College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou
450046, China
2
Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry
of Education, Kaifeng 475004, China
Submission date: 2025-10-18
Final revision date: 2026-01-15
Acceptance date: 2026-02-03
Online publication date: 2026-07-13
Corresponding author
Shaoqi Pan
College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou
450046, China
KEYWORDS
TOPICS
ABSTRACT
Cultivated land ecological security is vital for preventing human–land relationship deterioration,
enhancing ecosystem service value, and promoting sustainable development. This study constructed
a DPSIR-based evaluation index system and applied an improved TOPSIS method to assess countylevel
cultivated land ecological security subsystems in the middle and lower reaches of the Yellow
River in 2020. Interactions among subsystems were further analyzed using Pearson correlation and
geographically weighted regression to capture both overall and local spatial heterogeneity. The main
findings are as follows: (1) The overall level of cultivated land ecological security in the study area
remains in a marginally secure and transitional state, and the spatial distribution shows a west-high–
east-low pattern. The ranking of subsystem levels is: State > Driving Force > Response > Impact >
Pressure. (2) Subsystems are closely and intricately interlinked, such that changes in any single
subsystem may trigger chain reactions in others; however, the strength of these correlations varies
significantly across subsystem pairs. (3) Subsystem combinations can be classified into global and local
correlations. Globally positive correlations include D → P, P ↔ S, P ↔ R, I ↔ S, and I ↔ R. Globally
negative correlations include D → I, D → S, D → R, and S ↔ R. Locally autocorrelated combinations
include P → D, I → D, S → D, and R → D.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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