欢迎访问林草资源研究
Practice Discussion

Analysis of Vegetation Cover Changes in Beijing from 2005 to 2020

  • Shiyong YU ,
  • Qian XU ,
  • Xiaofei YU
Expand
  • 1. Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
    2. Information Center of National Forestry and Grassland Administration,Beijing 100714,China
    3. Dalian Territory Spatial Planning and Design Co.,Ltd.,Dalian,Liaoning 116011,China

Received date: 2023-03-28

  Revised date: 2023-05-16

  Online published: 2023-08-09

Abstract

Based on NDVI data from 2005—2020,the spatial distribution characteristics,temporal distribution characteristics and spatio-temporal characteristics of vegetation were analysed using NDVI classification and difference analysis to reveal the spatio-temporal patterns of NDVI changes in Beijing,and to explore the reasons for the changes by analysing the vegetation cover changes in Beijing in the past 15 years.Through analysis,it is found that,the overall vegetation cover in the Beijing area is at a high level.From a regional perspective,the areas with very high NDVI mean coverage classes in Beijing from 2005 to 2020 were all located in the Jundu and Xishan mountain ranges.The vegetation coverage of Mentougou District,Huairou District,Yanqing District,Fangshan District,Changping District and Pinggu District was at the highest level in Beijing.In terms of time,the level of vegetation coverage changed significantly from 2005 to 2020,with the average annual NDVI value increasing from 0.659 0 to 0.756 6,an increase of 14.81%.The proportion of area with "very high" vegetation coverage increased from 5.31% to 47.79%,and the proportion of area with "low" vegetation coverage decreased from 5.91% to 1.25%.In terms of spatiotemporal change characteristics of vegetation,the area with obvious improvement and slight improvement accounted for more than 80%.Two "million mu afforestation" projects and mountain forest management were the main driving forces to improve the quality of vegetation coverage in Beijing.

Cite this article

Shiyong YU , Qian XU , Xiaofei YU . Analysis of Vegetation Cover Changes in Beijing from 2005 to 2020[J]. Forest and Grassland Resources Research, 2023 , 0(3) : 98 -104 . DOI: 10.13466/j.cnki.lyzygl.2023.03.013

References

[1] 于世勇, 史绍林. 全球变化对森林的影响[J]. 温带林业研究, 2021, 4(2):8-12.
[2] Wessels K J, Prince S D, Frost P E, et al. Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series[J]. Remote Sensing of Environment, 2004,(91):47-67.
[3] Xin Zhongbao, Xu Jiongxin, Zheng Wei. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau(1981—2006):Impacts of climate changes and human activities[J]. Science in China Series D:Earth Sciences, 2008, 51(1):67-78.
[4] Piao Shilong, Wang Xuhui, Philippe C, et al. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J]. Global Change Biology, 2011, 17(10):3228-3239.
[5] 王小霞, 刘志华, 焦珂伟. 2000—2017 年东北森林NDVI时空动态及其驱动因子[J]. 生态学杂志, 2020, 39(9):2878-2886.
[6] 刘向培, 刘烈霜, 史小康, 等. 中国东北植被动态变化及其与气候因子的关系[J]. 大气科学学报, 2015, 38(2):222-231.
[7] 梁钊雄, 王兮之, 魏兴琥, 等. 基于TM影像的广西河池市岩溶地区植被覆盖度的动态变化研究[J]. 中国岩溶, 2014, 33(2):208-215.
[8] 杨绍锷, 谭裕模, 胡钧铭. 基于NDVI的广西近十年植被变化特征分析[J]. 南方农业学报, 2012, 43(11):1783-1788.
[9] 刘皓波, 邱新法. 基于GIS和TM影像的植被变化分析——以江西省武宁县为例[J]. 林业科技开发, 2013, 27(6):76-79
[10] 李晶晶, 闫庆武. 胡苗苗基于地理加权回归模型的能源“金三角”地区植被时空演变及主导因素分析[J]. 生态与农村环境学报, 2018, 34(8):700-708.
[11] 北京地形地貌及汛期特点[EB/OL].(2013-06-13)[2023-03-03]. http://www.weather.com.cn/beijing/sygdt/06/1898262.shtml.
[12] 国家林业和草原局. 2021中国林草资源及生态状况[M]. 北京中国林业出版社, 2022.
[13] 陶立超, 谭洪田. 基于NDVI数据的双峰县22年植被变化研究[J]. 西北林学院学报 2022, 37(3):149-154.
[14] 李红, 李德志, 宋云, 等. 快速城市化背景下上海崇明植被覆盖度景观格局分析[J]. 华东师范大学学报:自然科学版, 2009(6):89-100.
[15] 贾宝全, 邱尔发, 张红旗. 基于归一化植被指数的西安市域植被变化[J]. 林业科学, 2012, 48(10):6-12.
[16] 冯露, 岳德鹏, 郭祥. 植被指数的应用研究综述[J]. 林业调查规划, 2009, 34(2):48-52.
[17] 北京市国土空间生态修复规划(2021 年—2035 年)[EB/OL].(2022-06-02)[2023-03-03]. http://www.beijing.gov.cn/zhengce/zfwj/zfwj2016/szfwj/202206/W020220602627614477147.pdf.
[18] 韦艳葵. 北京平原地区森林资源状况及经营策略[J]. 林业资源管理, 2022(2):10-18.
Outlines

/