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洋河流域NDVI时空变化及驱动力分析

贾京伟 牛健植 蔺星娜 朱志俊 吴姗姗

贾京伟, 牛健植, 蔺星娜, 朱志俊, 吴姗姗. 洋河流域NDVI时空变化及驱动力分析[J]. 北京林业大学学报, 2019, 41(2): 106-115. doi: 10.13332/j.1000-1522.20180046
引用本文: 贾京伟, 牛健植, 蔺星娜, 朱志俊, 吴姗姗. 洋河流域NDVI时空变化及驱动力分析[J]. 北京林业大学学报, 2019, 41(2): 106-115. doi: 10.13332/j.1000-1522.20180046
Jia Jingwei, Niu Jianzhi, Lin Xingna, Zhu Zhijun, Wu Shanshan. Temporal and spatial variations of NDVI and its driving factors in the Yanghe Watershed of northern China[J]. Journal of Beijing Forestry University, 2019, 41(2): 106-115. doi: 10.13332/j.1000-1522.20180046
Citation: Jia Jingwei, Niu Jianzhi, Lin Xingna, Zhu Zhijun, Wu Shanshan. Temporal and spatial variations of NDVI and its driving factors in the Yanghe Watershed of northern China[J]. Journal of Beijing Forestry University, 2019, 41(2): 106-115. doi: 10.13332/j.1000-1522.20180046

洋河流域NDVI时空变化及驱动力分析

doi: 10.13332/j.1000-1522.20180046
基金项目: 

科技创新服务能力建设-科研基地建设-林果业生态环境功能提升协同创新中心(211协同创新中心) PXM2018_014207_000024

总理基金“农业排放状况及强化治理方案” DQGG0208

详细信息
    作者简介:

    贾京伟。主要研究方向:3S技术在植被动态变化中的应用。Email:jingwei.jia@foxmail.com 地址:100083北京市海淀区清华东路35号北京林业大学水土保持学院

    责任作者:

    牛健植,教授,博士生导师。研究方向:森林水文和景观生态。Email:niujianzhi@126.com 地址:同上

  • 中图分类号: Q948

Temporal and spatial variations of NDVI and its driving factors in the Yanghe Watershed of northern China

  • 摘要: 目的研究洋河流域的植被覆盖变化及驱动因素,可以为该区域生态建设及植被修复提供重要的参考价值。方法基于SPOT Vegetation NDVI数据、气象数据及土地利用数据,运用趋势分析、偏相关分析、复相关分析及残差分析等方法,探究1999—2015年气候变化及人类活动对洋河流域NDVI的影响。结果(1) 1999—2015年洋河流域NDVI整体呈上升趋势,增速为每10年3.9%,NDVI显著改善和显著退化的面积分别占流域总面积的57.90%和1.13%,其中有林地和灌木林地改善最为明显。(2)研究区有51.99%的区域NDVI变化受气候因子驱动明显,其中降水驱动型和降水、气温驱动型分别占流域总面积的26.13%和25.44%,前者主要分布在兴和、尚义、阳高、天镇、怀安及宣化等区域,后者主要分布在兴和南部及向东偏南方向延伸的带状区域,单一的年均气温对NDVI的变化影响较弱。(3)1999年以来,流域植被受人类活动的干扰逐渐增强,增速为每10年4.5%,以正向作用为主,正向作用主要分布在坝缘3县(尚义、万全、崇礼)及阳高等地,负向作用主要分布在城镇和农村等人口较为密集的地区。结论1999—2015年洋河流域NDVI变化是气候变化和人类活动共同作用的结果,但主要影响因素为人类活动干扰,京津风沙源治理等工程项目对当地的植被改善有十分重要的作用。

     

  • 图  1  研究区概况

    Figure  1.  Survey of the study area

    图  2  洋河流域土地利用类型

    Figure  2.  Land use types in the Yanghe River Basin

    图  3  洋河流域不同土地利用类型NDVI的年际变化

    Figure  3.  Interannual variations of NDVI of different land use types in the Yanghe River Basin

    图  4  NDVI变化趋势及显著性检验

    Figure  4.  Change trend and significance test of NDVI

    图  5  洋河流域NDVI与降水量的变化(a)及偏相关分布(b)

    Figure  5.  Change of NDVI and precipitation (a) and partial correlation distribution (b) in the Yanghe River Basin

    图  6  洋河流域NDVI与气温的变化(a)及偏相关分布(b)

    Figure  6.  Change of NDVI and temperature (a) and partial correlation distribution (b) in the Yanghe River Basin

    图  7  洋河流域NDVI与年降水量、年均气温的复相关分布

    Figure  7.  Multiple correlation distribution of NDVI and annual precipitation and annual average air temperature in the Yanghe River Basin

    图  8  1999—2015年洋河流域NDVI变化的气候因子驱动力分区

    Figure  8.  Climatic factor driving zoning of NDVI change in the Yanghe River Basin from 1999 to 2015

    图  9  1999—2015洋河流域年植被NDVI残差值时间变化(b)及变化趋势空间分布(a)

    Figure  9.  Temporal variations of vegetation NDVI residual value and spatial distribution of change trend during 1999-2015 in the Yanghe River Basin

    表  1  研究区植被NDVI变化等级划分标准

    Table  1.   Classification criteria for the change of vegetation NDVI in the study area

    变化类型
    Type of change
    检验显著性水平
    Test significance level
    斜率
    Slope (S)
    明显退化Apparent degradation P < 0.05 S < -0.016
    中度退化Moderate degeneration -0.016≤S≤-0.008
    轻度退化Mild degradation -0.008 < S≤0
    无显著变化No significant change P > 0.05
    轻度改善Mild improvement P < 0.05 0 < S0.008
    中度改善Moderate improvement 0.008≤S≤0.016
    明显改善Obvious improvement S > 0.016
    下载: 导出CSV

    表  2  NDVI变化驱动类型分区依据

    Table  2.   Driving type partition basis for NDVI changes

    NDVI变化类型
    Change type of NDVI
    分区依据Zoning basis
    rNDVIT-P rNDVIP-T RNDVIT-P
    气温驱动型
    Driven by air temperature
    tt0.1 FF0.1
    降水驱动型
    Driven by precipitation
    tt0.1 FF0.1
    降水、气温复合驱动型
    Combined driven by precipitation and air temperature
    tt0.1 tt0.1 FF0.1
    非气候因子驱动型
    Driven by non-climatic factors
    FF0.1
    下载: 导出CSV

    表  3  研究区年降水量、年均气温及人类活动对NDVI变化的影响

    Table  3.   Impact of annual precipitation, annual average temperature and human activities on NDVI in the study area

    NDVI变化趋势
    Changing trend of NDVI
    年降水量与年均气温对NDVI无复相关作用
    Annual precipitation and mean temperature have no multiple correlation effects on NDVI
    年降水量与年均气温对NDVI有复相关作用
    Annual precipitation and mean temperature have multiple correlation effects on NDVI
    人类活动无明显干扰作用的栅格数
    Raster number of human activities without obvious interference
    人类活动为负向干扰作用的栅格数
    Raster number of human activities as negative interference
    人类活动为正向干扰作用的栅格数
    Raster number of human activities as positive interference
    人类活动无明显干扰作用的栅格数
    Raster number of human activities without obvious interference
    人类活动为负向干扰作用的栅格数
    Raster number of human activities as negative interference
    人类活动为正向干扰作用的栅格数
    Raster number of human activities as positive interference
    明显退化Apparent degradation - 5 - - - -
    中度退化Moderate degeneration 4 154 - - - -
    轻度退化Mild degradation 4 34 - - - -
    无显著变化No significant change 3 441 112 7 3 629 11 116
    轻度改善Mild improvement 951 - 1 713 1 206 - 2 543
    中度改善Moderate improvement 2 - 2 083 6 - 1 765
    明显改善Obvious improvement 1 - 71 - - -
    总计Total 4 403 305 3 874 4 841 11 4 424
    注:人类活动无明显干扰为残差值变化未通过P < 0.1显著性检验区域,人类活动为负向/正向干扰的前提为残差值通过P < 0.1显著性检验区域。Notes: there is significant interference of human activities in the area where the residual passed the significance test (P < 0.1). Otherwise, there is no significant interference of human activities.
    下载: 导出CSV
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  • 收稿日期:  2018-01-30
  • 修回日期:  2018-05-06
  • 刊出日期:  2019-02-01

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