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近20年中国北方草原植被长势动态监测

田海静, 王林, 石俊华

田海静,王林,石俊华. 近20年中国北方草原植被长势动态监测. 草业科学, 2020, 37(11): 2165-2174. DOI: 10.11829/j.issn.1001-0629.2020-0261
引用本文: 田海静,王林,石俊华. 近20年中国北方草原植被长势动态监测. 草业科学, 2020, 37(11): 2165-2174. DOI: 10.11829/j.issn.1001-0629.2020-0261
TIAN H J, WANG L, SHI J H. Vegetation dynamics of the north Chinese grassland in the past 20 years. Pratacultural Science, 2020, 37(11): 2165-2174. DOI: 10.11829/j.issn.1001-0629.2020-0261
Citation: TIAN H J, WANG L, SHI J H. Vegetation dynamics of the north Chinese grassland in the past 20 years. Pratacultural Science, 2020, 37(11): 2165-2174. DOI: 10.11829/j.issn.1001-0629.2020-0261

近20年中国北方草原植被长势动态监测

基金项目: 国家林业和草原局草原管理司项目,"草原重点生态工程效益监测"
摘要: 草原是我国陆地上重要的绿色生态屏障,其中北方草原占全国草原总面积的40.72%。本研究利用2000−2019年卫星植被指数分析了近20年我国北方草原植被长势动态。结果表明:1) 2000−2019年,北方草原植被指数呈现显著性增长趋势(P < 0.01),归一化植被指数(normalized difference vegetation index, NDVI)年均增长幅度为0.0029,近20年来稳定性增长比例为24%;2) 2000−2019年,北方草原呈现整体植被恢复、局部地区植被退化的现象,植被恢复区域占北方草原总面积的52.22%,退化区域占0.86%,退化区域呈点状零星分布;3)在低纬度地区和湿润半湿润地区,草原恢复更加明显,而植被恢复不明显的区域主要分布在高纬度地区和干旱区;4)国家加强草原生态建设,加之有力气象条件,促进了草原生态质量的提升,但是在自然条件恶劣的地区,生态修复难度大,未来更应注重草原保护修复工程的长效性和连续性建设。

 

English

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    GAO Y, LIN H L. The development status and potential of grass-based agriculture in the nationsl economy. Acta Prataculturae Sinica, 2015, 24(1): 141-157. doi: 10.11686/cyxb20150118

    [2] 刘加文. 继往开来 大力推进草原保护工作再上新水平. 中国畜牧业, 2018(15): 56-58. doi: 10.3969/j.issn.2095-2473.2018.15.026

    LIU J W. Carrying forward the past and opening up the future, vigorously promoting grassland protection to a new level. China Animal Industry, 2018(15): 56-58. doi: 10.3969/j.issn.2095-2473.2018.15.026

    [3] 潘庆民, 薛建国, 陶金, 徐明月, 张文浩. 中国北方草原退化现状与恢复技术. 科学通报, 2018, 63(17): 1642-1650. doi: 10.1360/N972017-01178

    PAN Q M, XUE J G, TAO J, XU M Y, ZHANG W H. Current status of grassland degradation and measures for grassland restoration in northern China. Chinese Science Bulletin, 2018, 63(17): 1642-1650. doi: 10.1360/N972017-01178

    [4] 田育红, 纪中奎, 刘鸿雁. 内蒙古高原中部主要气候因子及地表覆盖对沙尘暴影响分析. 应用气象学报, 2005, 16(4): 476-483. doi: 10.3969/j.issn.1001-7313.2005.04.008

    TIAN Y G, JI Z K, LIU H Y. Main climatic factors and land cover effects on sandstorms in the central part of Inner Mongolia Plateau Quarterly. Journal of Applied Meteorology, 2005, 16(4): 476-483. doi: 10.3969/j.issn.1001-7313.2005.04.008

    [5] 刘源. 2015年全国草原监测报告. 中国畜牧业, 2016(6): 18-35. doi: 10.3969/j.issn.2095-2473.2016.06.005

    LIU Y. National grassland monitoring report 2015. China Animal Industry, 2016(6): 18-35. doi: 10.3969/j.issn.2095-2473.2016.06.005

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    LIU J W. Develop the effective strategies for grassland restoration. Acta Agrestia Sinica, 2018, 26(5): 1052-1055. doi: 10.11733/j.issn.1007-0435.2018.05.002

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  • 图  1   北方草原区遥感影像图(a)和气候分区图(b)

    该图基于自然资源部标准地图服务网站下载的审图号为GS(2020)4630号的标准地图制作,底图边界无修改。

    Figure  1.   Satellite image (a) and climate regions (b) of the north Chinese grassland

    This map was produced from a standard map downloaded from the standard map service website of the Ministry of National Resources of China.The examination number is GS(2020)4630, and the base map boundary was not modified.

    图  2   研究区2000年(a)、2019年(b)归一化植被指数和2019年与2000年差值图(c)空间分布

    Figure  2.   Map of normalized difference vegetation index (NDVI) for (a) 2000, (b) 2019, and (c) the difference between 2019 and 2000

    图  3   研究区2000−2019年归一化植被指数(NDVI)走势

    Figure  3.   Normalized difference vegetation index (NDVI) trend in the study area from 2000 to 2019

    图  4   研究区2000−2019年植被显著(P < 0.05)恢复或退化区域空间分布

    Figure  4.   Map of areas with significant (P < 0.05) vegetation restoration or degradation from 2000 to 2019

    图  5   内蒙古正蓝旗草原植被恢复前后高分遥感对比和工程区内外样地图片对比

    Figure  5.   High-resolution satellite images before and after vegetation restoration and photos taken inside and outside grazing prohibition areas in Zhenglan Banner, Inner Mongolia

    图  6   植被显著恢复区和其他区域在不同气候区所占面积比例

    HR, 湿润区;SHR, 半湿润区;SDR, 半干旱区;DR, 干旱区;EDR, 极干旱区。

    Figure  6.   Proportion of areas with significant vegetation restoration and other areas in different climatic regions

    HR, Humid region; SHR, Semi humid region; SDR, Semi dry region; DR, Dry region; EDR, Extreme dry reigon.

    图  7   植被显著恢复区和其他区域在不同纬度所占面积比例

    Figure  7.   Proportion of areas with significant vegetation restoration and other areas in different latitudes

  • [1] 高雅, 林慧龙. 草业经济在国民经济中的地位、现状及其发展建议. 草业学报, 2015, 24(1): 141-157. doi: 10.11686/cyxb20150118

    GAO Y, LIN H L. The development status and potential of grass-based agriculture in the nationsl economy. Acta Prataculturae Sinica, 2015, 24(1): 141-157. doi: 10.11686/cyxb20150118

    [2] 刘加文. 继往开来 大力推进草原保护工作再上新水平. 中国畜牧业, 2018(15): 56-58. doi: 10.3969/j.issn.2095-2473.2018.15.026

    LIU J W. Carrying forward the past and opening up the future, vigorously promoting grassland protection to a new level. China Animal Industry, 2018(15): 56-58. doi: 10.3969/j.issn.2095-2473.2018.15.026

    [3] 潘庆民, 薛建国, 陶金, 徐明月, 张文浩. 中国北方草原退化现状与恢复技术. 科学通报, 2018, 63(17): 1642-1650. doi: 10.1360/N972017-01178

    PAN Q M, XUE J G, TAO J, XU M Y, ZHANG W H. Current status of grassland degradation and measures for grassland restoration in northern China. Chinese Science Bulletin, 2018, 63(17): 1642-1650. doi: 10.1360/N972017-01178

    [4] 田育红, 纪中奎, 刘鸿雁. 内蒙古高原中部主要气候因子及地表覆盖对沙尘暴影响分析. 应用气象学报, 2005, 16(4): 476-483. doi: 10.3969/j.issn.1001-7313.2005.04.008

    TIAN Y G, JI Z K, LIU H Y. Main climatic factors and land cover effects on sandstorms in the central part of Inner Mongolia Plateau Quarterly. Journal of Applied Meteorology, 2005, 16(4): 476-483. doi: 10.3969/j.issn.1001-7313.2005.04.008

    [5] 刘源. 2015年全国草原监测报告. 中国畜牧业, 2016(6): 18-35. doi: 10.3969/j.issn.2095-2473.2016.06.005

    LIU Y. National grassland monitoring report 2015. China Animal Industry, 2016(6): 18-35. doi: 10.3969/j.issn.2095-2473.2016.06.005

    [6] 刘加文. 大力开展草原生态修复. 草地学报, 2018, 26(5): 1052-1055. doi: 10.11733/j.issn.1007-0435.2018.05.002

    LIU J W. Develop the effective strategies for grassland restoration. Acta Agrestia Sinica, 2018, 26(5): 1052-1055. doi: 10.11733/j.issn.1007-0435.2018.05.002

    [7]

    ROSENTHAL W D, BLANCHARD B J, BLANCHARD A J. Visible infrared microwave agriculture classification, biomass, and plant height algorithms. IEEE Transactions on Geoscience and Remote Sensing, 1985(2): 84-90.

    [8]

    ASRAR G, FUCHS M, KANEMASU E T, HATFIELD J L. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 1984, 76(2): 300-306. doi: 10.2134/agronj1984.00021962007600020029x

    [9]

    TIAN H J, CAO C X, CHEN W, BAO S N, MYNENI R B. Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012. Ecological Engineering, 2015(82): 276-289.

    [10]

    BARET F, GUYOT G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of the Environment, 1991(35): 161-173.

    [11] 王炳煜, 孙斌, 姜佳昌, 张洁, 吴江. 基于NDVI的甘肃省2015年天然草原植被长势监测评价. 甘肃农业, 2016(21): 32-33.

    WANG B Y, SUN B, JIANG J C, ZHANG J, WU J. Monitoring and evaluation of natural grassland vegetation growth in 2015 in Gansu Province based on NDVI. Gansu Agriculture, 2016(21): 32-33.

    [12] 鲁岩, 黄爱纤, 唐祯勇, 唐川江. 川西北天然草原植被长势遥感监测. 草业与畜牧, 2016(3): 33-37.

    LU Y, HUANG A Q, TANG Z Y, TANG C J. Remote sensing monitoring upon the vegetation growth of natural grassland in northwest of Sichuan. Journal of Grassland and Forage Science, 2016(3): 33-37.

    [13] 于海达, 杨秀春, 徐斌, 金云翔, 高添, 李金亚. 草原植被长势遥感监测研究进展. 地理科学进展, 2012, 31(7): 885-894. doi: 10.11820/dlkxjz.2012.07.007

    YU H D, YANG X C, XU B, JIN Y X, GAO T, LI J Y. The progress of remote sensing monitoring for grassland vegetation growth. Progress in Geography, 2012, 31(7): 885-894. doi: 10.11820/dlkxjz.2012.07.007

    [14] 徐斌, 杨秀春, 侯向阳, 陶伟国, 覃志豪. 草原植被遥感监测方法研究进展. 科技导报, 2007(9): 5-8. doi: 10.3321/j.issn:1000-7857.2007.09.002

    XU B, YANG X C, HOU X Y, TAO W G, QIN Z H. Advance of technology of remote sensing monitoring for grassland vegetation. Science and Technology Review, 2007(9): 5-8. doi: 10.3321/j.issn:1000-7857.2007.09.002

    [15] 徐斌, 陶伟国, 杨秀春, 覃志豪, 刘海启, 缪建明. 中国草原植被长势MODIS遥感监测. 草地学报, 2006(3): 242-247. doi: 10.11733/j.issn.1007-0435.2006.03.009

    XU B, TAO W G, YANG X C, QIN Z H, LIU H Q, LIAO J M. MODIS-based remote sensing monitoring upon the vegetation growth of China’s grassland. Acta Agrestia Sinica, 2006(3): 242-247. doi: 10.11733/j.issn.1007-0435.2006.03.009

    [16] 田海静, 曹春香, 戴晟懋, 郑盛, 陆诗雷, 徐敏, 陈伟, 赵坚, 刘迪, 朱红缘. 准格尔旗植被覆盖度变化的时间序列遥感监测. 地球信息科学学报, 2014, 16(1): 126-133.

    TIAN H J, CAO C X, DAI S M, ZHENG S, LU S L, XU M, CHEN W, ZHAO J, LIU D, ZHU H Y. Analysis of vegetation fractional cover in Jungar Banner based on time-series remote sensing data. Journal of Geo-Information Science, 2014, 16(1): 126-133.

    [17] 田海静, 孙涛, 刘旭升, 孔祥吉. 基于时间序列遥感数据的嵯岗国家沙化土地封禁保护成效评估. 中国沙漠, 2019, 39(3): 155-162.

    TIAN H J, SUN T, LIU X S, KONG X J. Effect evaluation of the enclosure-rehabilitation of desertification land in Cuogang based on time series remote sensing data. Journal of Desert Research, 2019, 39(3): 155-162.

    [18] 金云翔, 徐斌, 杨秀春, 李金亚, 王道龙, 马海龙. 内蒙古锡林郭勒盟草原产草量动态遥感估算. 中国科学: 生命科学, 2011, 41(12): 1185-1195. doi: 10.1360/052011-228

    JIN Y X, XU B, YANG X C, LI J Y, WANF D L, MA H L. Remote sensing dynamic estimation of grass production in Xilinguole, Inner Mongolia. Scientia Sinica Vitae, 2011, 41(12): 1185-1195. doi: 10.1360/052011-228

    [19] 高黎明, 张乐乐. 青海湖流域植被盖度时空变化研究. 地球信息科学学报, 2019(9): 1318-1329. doi: 10.12082/dqxxkx.2019.180696

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文章相关
  • 通讯作者: 王林
  • 收稿日期:  2020-05-14
  • 接受日期:  2020-08-24
  • 网络出版日期:  2020-11-01
  • 发布日期:  2020-11-14

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