资源与产业 ›› 2026, Vol. 28 ›› Issue (1): 118-128.DOI: 10.13776/j.cnki.resourcesindustries.20260104.005

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安阳市土地利用景观格局时空演变特征及驱动因素分析

赵冬1,郭兰博2,王业宁1,陈心旸3,王爱国4,闫丽洁1   

  1. (1.河南省科学院 地理研究所,河南 郑州 450052;2.河南科博信息技术服务有限公司,河南 郑州 450052;3.清华大学 五道口金融学院,北京 100083;4.洛阳师范学院 地理与旅游学院,河南 洛阳 471022)
  • 收稿日期:2025-04-15 修回日期:2025-06-09 出版日期:2026-02-20 发布日期:2026-02-20
  • 通讯作者: 郭兰博,硕士、中级工程师,主要从事区域经济开发与管理、土地可持续发展和GIS应用研究。E-mail:guolb1224@163.com
  • 作者简介:赵冬,博士、副研究员,主要从事土壤生态学、区域研究和土地可持续发展研究。E-mail:zdong3746@163.com
  • 基金资助:
    国家自然科学基金青年科学基金项目(41807018);河南省重点研发与推广专项(252102320223);河南省科学院基本科研费项目(240601087,20250601004);河南省软科学项目(242400410371);河南省自然科学基金面上项目(232300420175)。

Spatio-temporal Evolution and Drives Factors of Anyang's Land Use Landscape Pattern

ZHAO Dong1, GUO Lanbo2, WANG Yening1, CHEN Xinyang3, WANG Aiguo4, YAN Lijie1   

  1. (1.Institute of Geographical Science, Henan Academy of Sciences, Zhengzhou 450052 China;2.Henan Kebo Information Technology Service Co., Ltd, Zhengzhou 450052 China;3.PBC School of Finance, Tsinghua University, Beijing 100083, China;4.College of Geography and Tourism, Luoyang Normal University, Luoyang 471022, China)
  • Received:2025-04-15 Revised:2025-06-09 Online:2026-02-20 Published:2026-02-20

摘要: 城市化加速了土地利用景观格局的演变,而合理分析城市生态风险对保护城市生态环境和实现城市可持续发展具有重要意义。论文以河南省安阳市为研究区,采用土地利用转移矩阵、景观格局指数和热点分析等方法,并基于2000—2020年安阳市土地利用数据,对安阳市土地利用景观格局演变特征进行分析,并利用主成分分析方法确定演化的主要驱动因素。研究结果表明:1)2000—2020年,安阳市土地利用演变格局呈现“三增两减”的趋势,即耕地、林地减少,草地、水域、建设用地增加,以耕地与建设用地之间的相互转化最为明显;2)2000—2020年,安阳市景观生态高风险区面积增加6 170.52 km2,景观生态风险等级逐渐升级,热点区域位于安阳市市区;3)2000—2010年,景观生态低风险区转向较高风险区,而2010—2020年景观生态较高风险区转向高风险区;4)景观格局演化是城市化水平指数、经济因子指数和人口密度共同作用的结果,产业结构因子对景观格局演化也有一定的影响。建议安阳市在城市化进程中,既要重视生态保护,又要因地制宜制定适宜区域土地利用良性发展的政策。

关键词: 转移矩阵, 景观格局指数, 热点分析, 主成分分析, 安阳市

Abstract: Urbanization speeds up the evolution of land use landscape pattern, which is of significance to study ecological risks on protecting urban eco-environment and sustainable development. This paper uses land use transfer matrix, landscape pattern indicator and hotspots to study Anyang's land use landscape pattern evolution via its 2000 to 2020 land use data, and employs principle component method to determine the major drives factor of evolution. Anyang's land use pattern shows a trend of “three-increase-two-decrease” during 2000 to 2020, with increase in grassland, water and construction land uses, decrease in farmland and forest land uses, especially in the transformation between farmland and construction land uses. Anyang's scenic ecological area with high risks has increased by 6 170.52 km2 during 2000 to 2020, meaning a growing risk level with the hotspot locating in Anyang city. Its scenic ecological low risks area turned to higher risks, and its higher risk areas turned to even higher. Landscape pattern evolution is a mutual result of urbanization index, economy index and population density index, also impacted by industrial structure factor. This paper presents suggestions on ecological protection and on making appropriate land use policies amid Anyang's urbanization.

Key words: transfer matrix, landscape pattern index, hotspot analysis, principal component analysis, Anyang city

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