湖北农业科学 ›› 2025, Vol. 64 ›› Issue (10): 233-238.doi: 10.14088/j.cnki.issn0439-8114.2025.10.036

• 经济·管理 • 上一篇    下一篇

世界遗产“三生”空间格局演变及其驱动因素分析——以红河哈尼梯田为例

李影芝1, 潘娇1, 彭文忆2, 李文峰1   

  1. 1.云南省教育厅作物模拟与智能调控重点实验室,云南农业大学,昆明 650201;
    2.德宏州经济作物技术推广站,云南 德宏 678400
  • 收稿日期:2024-04-15 出版日期:2025-10-25 发布日期:2025-11-14
  • 通讯作者: 李文峰(1983-),山东潍坊人,教授,博士,主要从事作物模拟模型与智能调控,(电子信箱)liwenfeng@yuau.edu.cn。
  • 作者简介:李影芝(1996-),女,安徽淮北人,在读硕士研究生,研究方向为农村科学技术发展,(电子信箱)1914086227@qq.com。
  • 基金资助:
    云南农业大学第十六届学生科技创新创业行动基金项目(2023SR13)

Evolution of the spatial pattern of the world heritage site:A case study of Honghe Hani rice terraces

LI Ying-zhi1, PAN Jiao1, PENG Wen-yi2, LI Wen-feng1   

  1. 1. Laboratory of Crop Simulation and Intelligent Control in Yunnan Province, Kunming 650201, China;
    2. Dehong Economic Crop Extension Station, Dehong 678400,Yunnan,China
  • Received:2024-04-15 Published:2025-10-25 Online:2025-11-14

摘要: 以云南省红河哈尼梯田世界遗产核心区为研究对象,集成1990年、2000年、2010年、2020年4期30 m分辨率土地利用数据、DEM(数字高程模型)及县域统计资料,构建“生产-生活-生态”三生空间分类体系;运用ArcGIS提取海拔、坡度、地貌信息,划分地形梯度,统计各梯度上“三生”空间的面积分布;借助空间转移矩阵揭示1990—2020年地类转换的流向;采用地理探测器模型,从气候、地形、经济、人口4个维度选取13项指标,量化单因子解释力(q)及双因子交互作用强度。结果表明,研究区生态空间占据绝对地位;从地貌、坡度和海拔因素来看,生产、生活与生态空间主要集中在中起伏中山和大起伏中山地貌类型、6°~15°和15°~25°坡度区间,以及0.5~2.0 km海拔范围;在研究期间,生产空间和生活空间均呈增加趋势,生态空间面积相应减少;从时空转换来看,生态空间转为生产空间的面积最大;驱动因素分析显示,城镇化率、乡村人均国民收入、地区生产总值对“三生”空间的解释力最强,且双因子交互作用表现为非线性增强与双因子增强。

关键词: 红河哈尼梯田, "三生"空间, 驱动因素, 格局演变

Abstract: Taking the core area of the Honghe Hani Rice Terraces World Heritage Site in Yunnan Province as the study area, A “production-living-ecological” spatial classification system was established by integrating four periods (1990, 2000, 2010, and 2020) of 30-meter resolution land use data, DEM (Digital elevation model), and county-level statistical materials. Using ArcGIS, elevation, slope, and geomorphological information were extracted to delineate terrain gradients and statistically analyze the area distribution of the “production-living-ecological” spaces across each gradient. A spatial transfer matrix was applied to reveal the flow directions of land type conversions from 1990 to 2020. The geodetector model was employed, with 13 indicators selected from four dimensions: Climate, topography, economy, and population, to quantify the explanatory power (q) of single factors and the intensity of two-factor interactions. The results showed that ecological space dominated the study area; in terms of geomorphology, slope, and elevation, production, living, and ecological spaces were mainly concentrated in medium-undulating and large-undulating mid-mountain types, slope ranges of 6°-15° and 15°-25°, and an elevation range of 0.5-2.0 km; during the study period, both production and living spaces showed an increasing trend, while ecological space decreased accordingly; analysis of spatiotemporal changes revealed that the largest conversion area was from ecological to production space; driver analysis indicated that urbanization rate, rural per capita national income, and regional GDP had the strongest explanatory power for the “production-living-ecological” spaces, with two-factor interactions showing nonlinear enhancement and bifactor enhancement.

Key words: Honghe Hani rice terraces, "production-living-ecological" space, driving factors, pattern evolution

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