四川农业大学学报 ›› 2015, Vol. 33 ›› Issue (03): 294-298,318.doi: 10.16036/j.issn.1000-2650.2015.03.010

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基于CA-Markov模型的贵州山区2022年土地利用格局模拟

郜红娟, 许丽君   

  1. 贵州师范学院地理与旅游学院, 贵州 贵阳 550018
  • 收稿日期:2015-04-08 出版日期:2015-09-30 发布日期:2017-02-28
  • 通讯作者: 许丽君,副教授,从事区域地理研究,E-mail:kuailebaby2005@126.com。 E-mail:kuailebaby2005@126.com
  • 作者简介:郜红娟,硕士研究生,讲师,主要从事自然资源开发与区域规划研究,E-mail:cgp1963@126.com。
  • 基金资助:
    贵州省环境科学教学团队项目(黔教高[2012]426号);贵州师范学院环境科学教学团队项目(贵师院[2012]47号)

Simulation of Landscape Pattern in Guizhou Mountainous Region Based on CA-Markov Model for 2022

GAO Hong-juan, XU Li-jun   

  1. College of Geography and Tourism Guizhou Normal College, Guiyang 550018, Guizhou, China
  • Received:2015-04-08 Online:2015-09-30 Published:2017-02-28

摘要: [目的] 为探讨快速发展的山区未来土地利用变化规律。[方法] 利用CA-Markov模型,以贵州省麻江县为例,利用1992年、2002年和2012年三期土地利用数据,模拟了2022年土地利用格局,并分析了土地利用格局演变特点。[结果] 结果表明:到2022年研究区耕地、未利用地、草地不断下降,而林地、建设用地和水域将持续增加。耕地、林地、草地和未利用地破碎化下降,建设用地破碎度增加,水域破碎度变化不大;耕地、林地、草地、建设用地的景观形状趋于规则化,而未利用地景观形状复杂化增强,水域景观形状复杂性变化不大;除未利用地聚合度下降外,其他地类聚合度都呈增加趋势。研究区景观破碎度降低;景观形状复杂性下降,各景观类型面积比重不断趋于均衡化,聚集度增强。[结论] 该模型对山区土地利用模拟具有较高精度,研究结果可为土地优化研究奠定基础。

关键词: 土地利用变化, CA-Markov模型, 山区, 动态模拟

Abstract: [Objective] In order to discuss the change of the future land-use in the mountainous region of rapid development. [Method] Taking Majiang County of Guizhou province as the study area, in this paper we simulated the land use pattern in 2022 based on the land use data in 1992, 2002 and 2012, and then analyzed the evolution characteristics of the land use pattern using the CA-Markov model. [Results] The results show that:cultivated land, unused land, grassland of the study area in 2022 will decline, while woodland, construction land and water body will increase. Concerning the landscape fragmentation, cultivated land, woodland, grassland and unused land will decrease, while construction land will increase, but the water body has a little change. LSI of cultivated land, woodland, grassland, construction land tend to be in regularization, while LSI of unused land will become more complex, but LSI of water body has a little change. AI of all the land use types will increase except for unused land. In general, landscape fragmentation of the study area will decrease, and LSI will decrease. The proportion of each land use type tends to be in equalization, and AI will increase. [Conclusion] The model has a high simulation accuracy for the land use in mountainous area. The results could provide a foundation for the research of land optimization.

Key words: land use change, CA-Markov model, mountainous region, simulation

中图分类号: 

  • F321.1