Evaluation, simulation, and optimization of land use spatial patterns for high-quality development: A case study of Zhengzhou city, China

• Published in: Journal of geographical sciences Vol. 33; no. 2; pp. 266 - 288
• Main Authors: Zhu, Wenchao, Jiang, Zhimeng, Cen, Luyu, Wu, Hao
• Format: Journal Article
• Language: English
• Published: Heidelberg Science Press 01.02.2023; Springer; Springer Nature B.V
• Subjects: Agricultural land; Analysis; Carrying capacity; Case studies; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Land use; Nature Conservation; Optimization; Physical Geography; Remote sensing; Remote Sensing/Photogrammetry; Resource conservation; Sustainable development; China; land use spatial pattern; resource environment carrying capacity; Zhengzhou city; land use change; high-quality land development; spatial optimization
• ISSN: 1009-637X; 1861-9568
• DOI: 10.1007/s11442-023-2082-1

High-intensity land use and resource overloaded-induced regional land use spatial pattern (LUSP) are essential and challenging for high-quality development. The empirical studies have shown that a scientific land uses spatial layout, and the supporting system should be based on a historical perspective and require better considering the double influence between the current characteristics and future dynamics. This study proposes a comprehensive framework that integrates the resource environment carrying capacity (RECC) and land use change (LUC) to investigate strategies for optimizing the spatial pattern of land use for high-quality development. China’s Zhengzhou city was the subject of a case study whose datasets include remote sensing, spatial monitoring, statistics, and open sources. Three significant results emerged from the analysis: (1) The RECC has significant spatial differentiation but does not follow a specific spatial law, and regions with relatively perfect ecosystems may not necessarily have better RECC. (2) From 2020 to 2030, the construction land and farmland will fluctuate wildly, with the former increasing by 346.21 km 2 and the latter decreasing by 295.98 km 2 . (3) The study area is divided into five zones, including resource conservation, ecological carrying, living core, suitable construction, and grain supply zones, and each one has its LUSP optimization orientation. This uneven distribution of RECC reflects functional defects in the development and utilization of LUSP. In addition, the increase in construction land and the sharp decline of farmland pose potential threats to the sustainable development of the study area. Hence, these two elements cannot be ignored in the future high-quality development process. The findings indicate that the LUSP optimization based on dual dimensions of RECC and LUC is more realistic than a single-dimension solution, exhibiting the LUSP optimization’s effectiveness and applicability.