Research on the Evolution of Human-Land Patterns and Influencing Factors in the Mountainous Regions of Southwest China
文献类型：期刊论文
| 作者 | Ni, Qingsong1; Chen, Zongfeng4; Wang, Chenlin3; Liu, Xueqi2 |
| 刊名 | LAND
 |
| 出版日期 | 2026-02-05 |
| 卷号 | 15期号:2页码:269 |
| 关键词 | mountainous Southwest China's mountainous areas human-land relationship decoupling mode terrain constraint driving mechanism |
| DOI | 10.3390/land15020269 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Against the backdrop of rapid urbanization, the human-land relationship in the mountainous regions of Southwest China (Sichuan, Yunnan, Guangxi, Chongqing, and Guizhou) confronts dual pressures from terrain constraints and development demands, shaping a uniquely complex evolutionary pattern. To clarify the evolutionary laws of the regional human-land system, this study focuses on the period of 2000-2020, integrating land use, socioeconomic, and topographic data to construct a comprehensive analytical framework of Human Activity Intensity (HAI)-Land Use Dynamic Degree (LUDD)-decoupling model-geographic detector. This framework is employed to explore the spatio-temporal evolution characteristics of the human-land pattern, the differentiation of decoupling modes, and the underlying driving mechanisms. The key findings are as follows: Human Activity Intensity (HAI) presents a stable spatial pattern of agglomeration in low-altitude areas and dispersion in high-altitude areas, undergoing a three-stage temporal evolution of terrain anchoring-policy constraint-all-round expansion. Land use dynamics are predominantly governed by terrain: low-altitude river valley plains exhibit significant changes, while high-altitude karst regions remain relatively stable, with an overall policy-responsive fluctuation of rise-fall-rebound. Human-land decoupling forms a continuous spectrum encompassing four modes: collaborative optimization-extensive transition-rigid stagnation-advantageous aggregation, with strong negative decoupling dominating low-altitude favorable areas and recessive decoupling prevailing in high-altitude mountainous areas. In terms of driving mechanisms, terrain factors serve as the rigid foundation of the human-land relationship, while the urban-rural population structure, urbanization level, and land use intensity act as core human drivers. Additionally, the interaction of factors such as terrain-economy-transportation plays a crucial role in the differentiation of decoupling modes. This study clarifies the evolutionary logic of terrain laying the foundation and human factors shaping the pattern for the human-land relationship in Southwest China's mountainous regions, providing scientific support for the coordinated advancement of regional economic development and ecological protection, as well as a Chinese case study for global research on human-land coordination in ecologically fragile mountainous areas. |
| URL标识 | 查看原文 |
| WOS关键词 | RURAL-POPULATION ; INTENSITY |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001701536700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221349]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Zongfeng |
| 作者单位 | 1.POWERCHINA Chengdu Engn Corp Ltd, Chengdu 610072, Peoples R China; 2.Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China 3.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Ni, Qingsong,Chen, Zongfeng,Wang, Chenlin,et al. Research on the Evolution of Human-Land Patterns and Influencing Factors in the Mountainous Regions of Southwest China[J]. LAND,2026,15(2):269. |
| APA | Ni, Qingsong,Chen, Zongfeng,Wang, Chenlin,&Liu, Xueqi.(2026).Research on the Evolution of Human-Land Patterns and Influencing Factors in the Mountainous Regions of Southwest China.LAND,15(2),269. |
| MLA | Ni, Qingsong,et al."Research on the Evolution of Human-Land Patterns and Influencing Factors in the Mountainous Regions of Southwest China".LAND 15.2(2026):269. |
入库方式： OAI收割
来源：地理科学与资源研究所
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