曲靖师范学院学报 ›› 2023, Vol. 42 ›› Issue (6): 75-82.

• 云贵高原资源环境研究 • 上一篇    下一篇

曲靖市陆良县近20年土地利用时空变化

刘艳, 刘凤莲   

  1. 云南财经大学 国土资源与持续发展研究所,云南 昆明 650221
  • 收稿日期:2022-06-10 出版日期:2023-11-26 发布日期:2023-12-07
  • 通讯作者: 刘凤莲, 云南财经大学国土资源与持续发展研究所硕士生导师, 博士,主要从事土地利用与区域可持续发展研究.
  • 作者简介:刘 艳,云南财经大学国土资源与持续发展研究所硕士研究生,主要从事土地资源可持续利用研究
  • 基金资助:
    国家自然科学基金重点项目“中国乡村人地系统演化过程及其资源环境效应研究”(41931293);云南省教育厅科学研究基金项目“基于FLUS模型和蚁群算法的低碳型土地利用优化研究”(2021J0592).

Temporal and Spatial Change of Land Use in Luliang in Qujing during Recent 20 Years

LIU Yan, LIU Fenglian   

  1. Institute of Land Resources and Sustainable Development, Yunnan University of Finance and Economics, Kunming Yunnan 650221, China
  • Received:2022-06-10 Published:2023-11-26 Online:2023-12-07

摘要: 基于陆良县2000、2010、2020年土地利用覆被数据,借助土地利用动态度、土地利用转移矩阵、标准差椭圆对陆良县近20年的土地利用时空变化进行研究.结果表明:(1)耕地、草地、林地是陆良县主要的土地利用类型,研究期间,草地、耕地、林地和未利用地面积减少,建设用地和水域面积增加,其中建设用地面积增加幅度最大.(2)土地利用综合动态度较小,土地利用变化总体较平缓,建设用地增加较快.(3)耕地、草地、林地相互转移量大,建设用地的扩张主要是通过占用中部坝区的耕地来实现.(4)建设用地总体呈东北—西南的布局特征,重心迁移变化不明显,2000年建设用地的空间聚集性最强.

关键词: 土地利用变化, 土地利用动态度, 土地利用转移矩阵, 标准差椭圆

Abstract: Based on the land use and cover data of Luliang in 2000, 2010 and 2020, the temporal and spatial changes of land use in Luliang in recent 20 years are studied by using land use dynamic attitude, land use transfer matrix and standard deviation ellipse. The results show that cultivated land, grassland and forest land are the main land use types in Luliang and the area of grassland, cultivated land, forest land and unused land decreased, while the area of construction land and water area increased, and the area of construction land increased the most; the comprehensive dynamic attitude of land use is small, the change of land use is gentle on the whole, and the increase of construction land is fast; the mutual transfer of cultivated land, grassland and forest land is large, and the expansion of construction land is mainly realized by occupying cultivated land in the central dam area; and the overall distribution of construction land was northeast to southwest, and the change of center of gravity was not obvious. The spatial aggregation of construction land was the strongest in 2000.

Key words: land use change, dynamic attitude of land use, land use transfer matrix, standard deviation ellipse

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