An improved framework for assessing territorial spatial conflict from the perspective of ecological security and its quantitative analysis of driving factors: A case study of the <scp>Yellow River Basin</scp>

Abstract Ecological security is fundamentally interconnected with territorial spatial conflict (TSC); however, current assessment frameworks frequently neglect ecological vulnerability. To address this gap, based on landscape pattern theory, this study proposes an enhanced TSC assessment framework that integrates ecological sensitivity and ecological risk into ecological vulnerability and further incorporates landscape complexity and fragmentation to construct a conflict risk index based on a composite landscape index. Applying this framework to the Yellow River Basin, this study examines the spatiotemporal evolution of TSC from 1990 to 2020 using multi‐source data on land use, terrain, climate, vegetation, and socioeconomic conditions. Spatial autocorrelation reveals distinct clustering patterns, and a Multiscale Geographically Weighted Regression (MGWR) model quantifies the spatially heterogeneous effects of key drivers. Results indicate a 5.40% reduction in severe conflict areas over the study period. Conflicts are predominantly concentrated in rapidly urbanizing and densely populated midstream and downstream cities, whereas plateau regions remain largely low‐conflict. TSC exhibits significant positive spatial autocorrelation, with high–high clusters progressively expanding southeastward. MGWR identifies SHDI and NDVI as generally positive influences on TSC, while distance from urban centers exerts a mitigating effect. Socioeconomic factors such as land‐use intensity, secondary industry value‐added, and local fiscal revenue demonstrate broad, scale‐dependent impacts. This framework provides a transferable methodology for embedding ecological security considerations into territorial spatial planning and conflict management.

Authors

Institutions

Publication Details

Journal
Environmental Progress & Sustainable Energy
Published
2026-03-31
DOI
https://doi.org/10.1002/ep.70434
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An improved framework for assessing territorial spatial conflict from the perspective of ecological security and its quantitative analysis of driving factors: A case study of the Yellow River Basin

Mengqi Hua, Shanhua Wang, Yiwen Wang, Jiqiang Niu et al.
Environmental Progress & Sustainable Energy
Land Use and Ecosystem Services
article

An improved framework for assessing territorial spatial conflict from the perspective of ecological security and its quantitative analysis of driving factors: A case study of the Yellow River Basin

Mengqi Hua, Shanhua Wang, Yiwen Wang, Jiqiang Niu, Hua Wang, Xiaofeng Li
article en

Abstract

Abstract Ecological security is fundamentally interconnected with territorial spatial conflict (TSC); however, current assessment frameworks frequently neglect ecological vulnerability. To address this gap, based on landscape pattern theory, this study proposes an enhanced TSC assessment framework that integrates ecological sensitivity and ecological risk into ecological vulnerability and further incorporates landscape complexity and fragmentation to construct a conflict risk index based on a composite landscape index. Applying this framework to the Yellow River Basin, this study examines the spatiotemporal evolution of TSC from 1990 to 2020 using multi‐source data on land use, terrain, climate, vegetation, and socioeconomic conditions. Spatial autocorrelation reveals distinct clustering patterns, and a Multiscale Geographically Weighted Regression (MGWR) model quantifies the spatially heterogeneous effects of key drivers. Results indicate a 5.40% reduction in severe conflict areas over the study period. Conflicts are predominantly concentrated in rapidly urbanizing and densely populated midstream and downstream cities, whereas plateau regions remain largely low‐conflict. TSC exhibits significant positive spatial autocorrelation, with high–high clusters progressively expanding southeastward. MGWR identifies SHDI and NDVI as generally positive influences on TSC, while distance from urban centers exerts a mitigating effect. Socioeconomic factors such as land‐use intensity, secondary industry value‐added, and local fiscal revenue demonstrate broad, scale‐dependent impacts. This framework provides a transferable methodology for embedding ecological security considerations into territorial spatial planning and conflict management.

Environmental Progress & Sustainable Energy
Xinyang Normal University (CN), Ministry of Natural Resources (CN), Zhengzhou University of Light Industry (CN)
Sustainable cities and communities
Openalex Percentile: Top 21%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.