Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective

Author:

Zhang Tianjiao1,Zhang Cuifang1,Wang Qian12,Yang Chuanhao1,Zhang Jin1ORCID,Zhang Chenxuan1,Zhang Qipeng12

Affiliation:

1. School of Geography and Environment, Liaocheng University, Liaocheng 252059, China

2. Liaocheng Innovative High Resolution Data Technology Co., Liaocheng 252059, China

Abstract

Changes in land use types in alpine meadow areas have significant impacts on the ecological environment in alpine areas. Exploring land use change is crucial for land use management and optimization in alpine regions. Thus, it is necessary to analyze land use evolution and its drivers in alpine meadow regions from a production–living–ecology space (PLES) perspective by using remote sensing data. We first constructed the PLES evaluation system for Gannan. Then, we analyzed the spatial and temporal evolution characteristics and coupling degree of PLES in the study area. Finally, the driving factors affecting PLES were explored with geodetector. The conclusions of the study reveal that the distribution of productive and ecological spaces is large and concentrated, while the distribution of living spaces is more decentralized. The PLES was mainly concentrated in the area above 2500 m but below 4000 m and with a slope of 40° or less. During the study period, the area of production space showed a decreasing trend, while the areas of living and ecological space both showed increasing trends, primarily occurring at the expense of production space. DEM and GDP were the main factors affecting the distribution of PLES. The coupling level and the degree of coupling coordination were relatively stable in general, showing a pattern of “high in the east and low in the west”. The study provides technical support and a theoretical basis for the future planning of land space and ecological environment optimization in the alpine meadow regions.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Shandong Province Key Research and Development Program (Soft Science) Project

Doctoral Startup Fund of Liaocheng University

Publisher

MDPI AG

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