Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 343 - 343

Published: Feb. 8, 2025

It is well established that China’s rapid urban expansion has led to a substantial loss of cropland. However, few studies have examined how different patterns contribute cropland consumption, which hindered the formulation sustainable development and protection policies. To fill this gap, we analyzed occupation under three (leap-frogging, edge-spreading, interior filling) in China from 1990 2020, using long-term land use data. The dominant driving forces were then explored XGBoost model SHAP values. Our findings indicate 2020 resulted 6.3% reduction cropland, with edge-spreading (4.0%) contributing most, followed by leap-frogging (2.1%) filling (0.2%). Change intensity (CUI) proved be most critical driver loss, values 0.38, 0.28, 0.37 for leap-frogging, filling, respectively. Over time, evolved single demographic-economic dominance more diversified integrated set drivers. Based on these findings, propose tailored planning policies patterns; regions dominated stricter controls boundaries stronger constraints are required. For prominent expansion, efforts should made improve internal efficiency while preserving existing spaces. In characterized further optimization construction allocation needed reduce productive suburban These not only offer new empirical evidence understanding interplay between conservation but also provide transferable insights can inform land-use strategies other rapidly urbanizing facing similar challenges.

Language: Английский

Analysing the Spatial and Temporal Characteristics of Ecological Land Encroachment by Cropland Expansion and Its Drivers in Cambodia

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2195 - 2195

Published: Dec. 16, 2024

The rapid expansion of cropland in Cambodia, the world’s seventh-largest rice exporter, has created an imbalance land use structure. However, there is a lack quantitative investigation loss ecological as result and its drivers. In this research, spatial autocorrelation, landscape pattern index transfer matrix methods were used based on data from 2000 to 2023. Then, eXtreme Gradient Boosting-SHapley Additive exPlanations (XGBoost-SHAP) Geographic Detector explore drivers expansion. findings indicate that expanse agricultural Cambodia significantly increased by 13.47%. proportion area (37.87%) close forest (40.19%). Cultivated dominated fields, supplemented drylands. Spatial clustering obvious both drylands fields. Drylands are mainly concentrated eastern western mountainous areas northern border, while fields central plains. encroached total 30,579.27km2 land, which 62.88% was dry 37.12% Forests shrubs main source cropland. addition, soil type (0.18), elevation (0.17) GDP (0.17), population (0.52) their interactions strongly drove dryland should conduct scientific research assess demand for growth economic progress. It realize orderly cultivated reduce damage promote coordinated development society, environment economy.

Language: Английский