基于景观生态学和马尔可夫模型的日本北九州土地利用分析
  • 【摘要】

    Based on four phases of TM images acquired in 1990, 1995, 2000 and 2005, this paper took Kitakyushu in Japan as a case study to analyze spatial change of land use landscape and corresponding effects o... 展开>>Based on four phases of TM images acquired in 1990, 1995, 2000 and 2005, this paper took Kitakyushu in Japan as a case study to analyze spatial change of land use landscape and corresponding effects on environmental issues guided by landscape ecology theory in virtue of combining technology of Remote Sensing with GIS. Firstly, land use type swere divided into 6 classes (farmland, mountain, forestland, water body, urban land and un-used land) according to national classification standard of land use, comprehensible ability of TM image and purpose of this study. Secondly, following the theory of landscape ecology analysis, 11 typical landscape indices were abstracted to evaluate the environmental effects and spatial feature changes of land use. Research results indicated that land use has grown more and more diversified and unbalanced, human activities have disturbed the landscape more seriously. Finally, transfer matrix of Markov was applied to forecast change process of land use in the future different periods, and then potential land use changes were also simulated from 2010 to 2050. Results showed that conversion tendency for all types of land use in Kitakyushu into urban construction land were enhanced. The study was anticipated to help local authorities better understand and address a complex land use system, and develop improved land use management strategies that could better balance urban expansion and ecological conservation. 收起<<

  • 【作者】

    官冬杰  高伟俊  渡利和之  深堀秀敏 

  • 【作者单位】

    Department of Environmental Space Design/Planning Section of Sewer and River Department in Kitakyushu

  • 【刊期】

    地理学报(英文版) ISTIC SCI 2008年4期

  • 【关键词】

    land use  landscape ecology  Markov model  Kitakyushu in Japan 

  • 【基金项目】

    Sasakawa Scientific Foundation of Japan 国家重点基础研究发展计划(973计划) 国家自然科学基金