Journal of Geo-information Science, Volume. 22, Issue 3, 543(2020)

Land Use Simulation of the City Clusters Around Poyang Lake based on Land Ecological Security Assessment

Luyi SHAN1...1, Haijun WANG1,1,2,2, Bin ZHANG1,1, and Peng PAN33,* |Show fewer author(s)
Author Affiliations
  • 1School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
  • 1武汉大学资源与环境科学学院,武汉 430079
  • 2Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China
  • 2武汉大学地理信息系统教育部重点实验室,武汉 430079
  • 3Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
  • 3生态环境部环境工程评估中心,北京100012
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    Figures & Tables(20)
    Land use status of the city clusters around Poyang Lake
    Technical flowchart of land use simulation in the city clusters around Poyang Lake
    Land ecological security patterns in the city clusters around Poyang Lake in 2005, 2010 and 2015
    Changes of the land ecological security patterns in the city clusters around Poyang Lake from 2005 to 2015
    Suitability of each land use type in the city clusters around Poyang Lake from 2005 to 2010
    Suitability of each land use type in the city clusters around Poyang Lake from 2010 to 2015
    Suitability of the lands for constructing towns and other construction purposes under the ecological protection scenario in the city clusters around Poyang Lake from 2010 to 2015
    Land use simulation result in the city clusters around Poyang Lake in 2015
    Land use simulations of the city clusters around Poyang Lake in 2030 under the two scenarios
    Changes of the lands for constructing towns and other construction purposes in the city clusters around Poyang Lake in 2030 under the two scenarios
    Land ecological security patterns under the two scenarios in the city clusters around Poyang Lake in 2030
    Changes of land ecological security patterns under the two scenarios in the city clusters around Poyang Lake from 2015 to 2030
    • Table 1. Analytic hierarchy process judgment matrix of land ecological security assessment index in the city clusters around Poyang Lake

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      Table 1. Analytic hierarchy process judgment matrix of land ecological security assessment index in the city clusters around Poyang Lake

      因素生态景观结构生态功能生态干扰度生态恢复力
      生态景观结构1122
      生态功能1133
      生态干扰度1/21/311
      生态恢复力1/21/311
    • Table 2. Land ecological security assessment index in the city clusters around Poyang Lake

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      Table 2. Land ecological security assessment index in the city clusters around Poyang Lake

      目标层项目层指标层正/负向权重
      土地生态安全生态景观结构景观形状指数0.167
      蔓延度指数0.032
      分离度指数0.018
      香农均匀度指数0.103
      生态功能生态系统服务价值0.391
      生态干扰度建设用地面积0.144
      生态恢复力生态弹性度0.144
    • Table 3. Potential driving factors of land use change in the city clusters around Poyang Lake

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      Table 3. Potential driving factors of land use change in the city clusters around Poyang Lake

      变量类型变量说明
      社会经济因素地均GDP期初GDP空间数据
      人口期初人口空间数据
      城市流强度期初城市流强度,根据参考文献公式及统计数据进行计算
      自然因素DEM
      坡度根据DEM数据进行计算
      邻域因素距道路距离距道路的最近距离
      距城镇距离距期初城镇用地的最近距离
      距农村距离距期初农村居民点的最近距离
      距水域距离距期初水域的最近距离
    • Table 4. The areas of each land ecological security level inthe city clusters around Poyang Lakein 2005, 2010, and 2015 (km2

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      Table 4. The areas of each land ecological security level inthe city clusters around Poyang Lakein 2005, 2010, and 2015 (km2

      生态安全级别2005年2010年2015年
      低生态安全627.13699.13773.12
      较低生态安全2042.502186.502393.39
      中等生态安全13 679.3713 771.9914 599.22
      较高生态安全67 120.2966 994.6265 992.50
      高生态安全8421.978239.018133.03
    • Table 5. Land use driving factors and weights in the city clusters around Poyang Lake from 2005 to 2010

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      Table 5. Land use driving factors and weights in the city clusters around Poyang Lake from 2005 to 2010

      约束因子/用地类型耕地林地草地水域城镇用地农村居民点其他建设用地未利用地
      地均GDP0.22(+)0.23(+)0.11(+)
      人口0.53(-)0.25(-)0.03(+)0.10(-)0.05(+)0.21(-)
      城市流强度0.20(+)0.11(+)0.04(+)0.03(+)0.03(+)0.15(-)
      DEM0.08(-)0.05(+)0.24(-)0.54(-)0.07(+)0.13(-)0.21(-)
      坡度0.24(-)0.04(-)0.02(-)0.23(-)0.15(-)
      距道路距离0.10(+)0.05(+)0.02(+)0.09(-)0.20(-)0.31(-)0.01(+)
      距城镇距离0.13(-)0.03(-)0.04(-)0.01(+)0.63(-)0.11(-)0.10(-)0.01(+)
      距农村距离0.06(-)0.02(+)0.04(+)0.05(+)0.07(-)0.18(-)0.04(+)0.02(+)
      距水域距离0.19(-)0.04(-)0.11(+)0.34(-)0.06(-)0.04(+)0.07(-)0.54(-)
    • Table 6. Land use drivingfactors and weights in the city clusters around Poyang Lake from 2010 to 2015

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      Table 6. Land use drivingfactors and weights in the city clusters around Poyang Lake from 2010 to 2015

      约束因子/用地类型耕地林地草地水域城镇用地农村居民点其他建设用地未利用地
      地均GDP0.06(+)0.06(+)0.03(+)0.06(+)0.10(+)0.11(-)
      人口0.05(-)0.83(-)0.05(-)0.01(-)0.09(-)0.09(-)
      城市流强度0.08(-)0.46(-)0.10(-)0.07(-)0.02(-)0.16(-)0.01(-)0.23(-)
      DEM0.34(-)0.11(-)0.50(-)0.08(-)0.39(-)
      坡度0.08(+)0.03(-)0.02(+)0.04(-)0.06(-)0.03(-)
      距道路距离0.09(+)0.03(-)0.41(-)0.21(-)0.26(-)0.03(-)
      距城镇距离0.16(-)0.23(-)0.17(-)0.12(-)0.14(-)0.12(-)
      距农村距离0.11(-)0.06(-)0.01(-)0.05(-)0.32(-)0.17(-)0.22(-)
      距水域距离0.11(-)0.11(+)0.02(-)0.46(-)0.04(-)
    • Table 7. Land use areas in the city clusters around Poyang Lake in 2015 and 2030 (km2)

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      Table 7. Land use areas in the city clusters around Poyang Lake in 2015 and 2030 (km2)

      年份耕地林地草地水域城镇用地农村居民点其他建设用地未利用地
      201529 436.4849 326.362862.006163.59987.811628.94954.76531.31
      2030(预测)26 732.7746 201.043158.226103.612683.321348.625172.59491.08
    • Table 8. The areas of land in all ecological security levels under the two scenarios inthe city clusters around Poyang Lake in 2030 (km2)

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      Table 8. The areas of land in all ecological security levels under the two scenarios inthe city clusters around Poyang Lake in 2030 (km2)

      生态安全级别自然发展情景生态保护情景
      低生态安全2137.832137.83
      较低生态安全5219.695543.69
      中等生态安全21 196.6021 412.60
      较高生态安全58 588.1056 176.11
      高生态安全4749.046621.03
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    Luyi SHAN, Haijun WANG, Bin ZHANG, Peng PAN. Land Use Simulation of the City Clusters Around Poyang Lake based on Land Ecological Security Assessment[J]. Journal of Geo-information Science, 2020, 22(3): 543

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    Paper Information

    Received: Jun. 15, 2019

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email: PAN Peng (dpper@126.com)

    DOI:10.12082/dqxxkx.2020.190306

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