Ruhan A, Liu Dongchang
College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Key Laboratory of Desert Ecosystem Conservation and Restoration, State Forestry and Grassland Administration of China, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
PLoS One. 2024 Dec 31;19(12):e0309615. doi: 10.1371/journal.pone.0309615. eCollection 2024.
To offer a foundational science for the land spatial planning of Beijing Tianjin sandstorm source area, the remote sensing images of Duolun County in Inner Mongolia from 2000 to 2020 were used to obtain the spatial information of production, living and ecological space(PLES). In order to construct the index system of the carrying capacity of the PLES, 24 indicators were chosen from the perspectives of ecological space, living space, and production space. AHP method, TOPSIS Model with entropy combination weight, coupling coordination model and obstacle degree model are used to analyze the coupling coordination scheduling and obstacle degree of the PLES carrying capacity. The findings exhibited that (1) the distribution area of ecological space and production space decreased, while the living space area increased slightly; (2) The carrying capacity of production space showed a weak growth trend, the carrying capacity of production space, living space and the PLES space showed a weak downward trend; (3) The coupling degree and coupling coordination degree between two spaces show a slow downward trend; (4) The obstacle degree of the carrying capacity of production space and living space has increased, while the carrying capacity of ecological space is decreasing. Livestock carrying capacity is the most important obstacle restricting the carrying capacity of production space. The scale of construction land has the greatest obstacle to the carrying capacity of living space, the degree of desertification has the greatest obstacle to the carrying capacity of ecological space, and soil organic matter has the greatest obstacle to the comprehensive carrying capacity of the PLES.
为了给京津风沙源区土地空间规划提供基础科学依据，利用内蒙古多伦县2000年至2020年的遥感影像获取生产、生活和生态空间（PLES）的空间信息。为构建PLES承载力指标体系，从生态空间、生活空间和生产空间的角度选取了24个指标。运用层次分析法、熵权组合权重的TOPSIS模型、耦合协调模型和障碍度模型，对PLES承载力的耦合协调调度和障碍度进行分析。研究结果表明：（1）生态空间和生产空间分布面积减少，生活空间面积略有增加；（2）生产空间承载力呈微弱增长趋势，生产空间、生活空间和PLES空间承载力呈微弱下降趋势；（3）两个空间之间的耦合度和耦合协调度呈缓慢下降趋势；（4）生产空间和生活空间承载力的障碍度增加，而生态空间承载力在下降。载畜量是制约生产空间承载力的最重要障碍。建设用地规模对生活空间承载力的障碍最大，荒漠化程度对生态空间承载力的障碍最大，土壤有机质对PLES综合承载力的障碍最大。
