Analysis and Prediction of Spatial and Temporal Land Use Changes in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains

Xiaoxu He, Zhaojin Yan (), Yicong Shi, Zhe Wei, Zhijie Liu and Rong He
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Xiaoxu He: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Zhaojin Yan: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Yicong Shi: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Zhe Wei: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Zhijie Liu: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Rong He: Department of Civil, Environmental and Sustainable Engineering, Santa Clara University, Santa Clara, CA 95053, USA

Land, 2025, vol. 14, issue 5, 1-25

Abstract: This study investigates the spatiotemporal changes in land use within the urban agglomeration on the northern slopes of the Tianshan Mountains (TNUA), aiming to identify the driving factors and provide a scientific basis for regional ecological protection, rational land use planning, and sustainable resource utilization. Using land use data, we analyzed transitions, dynamics, intensity, and gravity shifts in land use, examined driving mechanisms using geographic detectors, and simulated future land use patterns with the Patch-generating Land Use Simulation (PLUS) model. The results indicate that between 2010 and 2020, forest, water body, and unused land areas decreased, while cropland, grassland, and construction land expanded. The rate of land use change accelerated significantly, increasing from 0.0955% during 2010–2015 to 0.3192% during 2015–2020. The comprehensive land use dynamic degree index rose from 157.8371 to 161.1008, with Shayibake District exhibiting the most rapid growth. Precipitation, temperature, economic development, and elevation were the dominant driving factors throughout the study period. Population density had the strongest influence on the expansion of water body, while slope was the most significant factor for cropland expansion. Nighttime light was the primary driver of construction land growth. Projections for 2025, 2030, and 2035 suggest a continued decline in unused land and forest areas, alongside increases in cropland, grassland, water body, and construction land.

Keywords: urban agglomeration on the northern slopes of the Tianshan Mountains (TNUA); land use transition; driving mechanisms; influencing factors; geographical detector; PLUS model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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