Earth Surface Processes

Indicating variation of surface vegetation cover using SPOT NDVI in the northern part of North China

Expand
  • 1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
    2. Chengde Teachers College for Nationalities,Chengde 067000, China

Received date: 2007-12-10

  Revised date: 2008-04-16

  Online published: 2008-07-25

Supported by

教育部科学研究重大项目(306019)和国家自然科学基金项目(40771001)资助

Abstract

To investigate dynamics of surface vegetation, and optimize regional land use structure and pattern, monthly and annual NDVI were computed respectively by using maximum value composites and average method with 10-day NDVI of SPOT-VEGETATION from Jan. 1999 to Dec. 2006, and then variation of surface vegetation cover and its temporal dependence were indicated by the slope of one-variable linear regression and Hurst exponent. The results show that the greening area is larger than the degraded area in the northern part of North China as an indicator of positive or negative slope of NDVI series. The greening area, stable area, and degraded area account for 66.04%, 14.39% and 19.57% of the total area respectively. The dynamics of surface vegetation cover shows significant regional differentiation. For example, vegetation cover would show the decrease trends in transitional zones among Hebei Province, Shanxi Province and Inner Mongolia Autonomous Region, while persistent increase of vegetation cover appears in the Taihang Mountain, Yanshan Mountain and Luliang Mountain. The fact that Hurst exponents of the NDVI time series greater than 0.5 suggests NDVI series are generally persistent and a rising tendency in the past will cause possible increase in the future. So, the variation of surface vegetation cover in cropland, woodland, and built-up area would show the increasing tendency, while grassland would appear a possible decrease. Moreover, dynamics of surface vegetation exhibits obvious difference in different land cover types. The stability of coniferous forest ecosystem is larger than the deciduous broadleaf forest and shrub vegetation, while the stability of grassland vegetation is lower than the forestland system. Influencing factors of vegetation cover such as temperature, precipitation and evaporation differ in different elevations, and so the stability of ecosystem variation presents altitude differences. To increase the sustainability of regional agro-forestry ecosystems, more natural factors should be considered above 1000 m, while much more attentions have to be paid to the anthropic factors below 1000 m in landuse planning according to the research results.

Cite this article

ZHANG Yue-cong, ZHAO Zhi-qiang, LI Shuang-cheng, MENG Xian-feng . Indicating variation of surface vegetation cover using SPOT NDVI in the northern part of North China[J]. GEOGRAPHICAL RESEARCH, 2008 , 27(4) : 745 -755 . DOI: 10.11821/yj2008040003

References


[1] Cramer W P, Leemans R. Assessing impacts of climate change vegetation using climate classification system.In: Solomon A M, Shuart H H (eds. ). Vegetation Dynamics and Global Change. London: Chapman and Hall, 1993.190~217.

[2] Meyer W B, Turner B L. Changes in Land use and Land Cover: A Global Perspective. Cambridge:Cambridge University Press,1994.79~93.

[3] 孙红雨,王长耀.中国地表植被覆盖变化及其与气候因子关系.遥感学报,1998,2(3):204~209.

[4] 刘纪远,张增祥,庄大方,等. 20世纪90年代中国土地利用变化时空特征及其成因分析.地理研究,2003,22(1):1~11.

[5] 张镱锂,丁明军,张玮,等.三江源地区植被指数下降趋势的空间特征及其地理背景.地理研究,2007,26 (3) :500~506.

[6] 付新峰,杨胜天,刘昌明.雅鲁藏布江流域NDVI变化与主要气候因子的关系.地理研究,2007,26(1):60~66.

[7] 冯新灵,罗隆诚,邱丽,等.青藏高原至中国东部年雨日变化趋势的分形研究.地理研究,2007,26(4):835~843.

[8] 徐全洪,赵艳霞,刘芳圆.华北地区土地资源数据层面建立.地理学与国土研究,2001,16(4):68~72.

[9] 赵晓丽,张增祥,邹亚荣,等.中国华北地区土地利用动态变化特点分析.国土资源遥感,2002,2(52):23~28.

[10] 邹亚荣,赵晓丽,张增祥,等.华北土地利用十年动态特征分析.地理科学进展,2003,22(2):158~163.

[11] 蔡运龙,等.中国可持续发展总纲,中国地理多样性与可持续发展.北京:科学出版社,2007.266~268.

[12] Maisongrande P, uchemin B D, Dedieu G. VEGETATION/SPOT:An operational mission for the Earth monitoring; presentation of new standard products. International Journal of Remote Sensing,2004,25(1):9~14.

[13] 顾娟,李新,黄春林.时间序列数据集重建方法述评.遥感技术与应用,2006,21(4):391~395.

[14] 李双成,高伟明,周巧富,等.基于小波变换的NDVI与地形因子多尺度空间相关分析.生态学报,2006,26(12):4198~4203.

[15] 孙红雨,王长耀,牛铮,等.中国地表植被覆盖变化及其与气候因子关系.遥感学报,1998,2 (3) :205~210.

[16] Purevdorj T S, Tateishi R, Ishiyam T, et al.Relationships between percent vegetation cover and vegetation indi-ces.Remote Sens. ,1998 ,19 :3519~3535.

[17] 刘淑珍,周麟,仇崇善,等.西藏自治区那曲地区草地退化沙化研究.拉萨:西藏人民出版社,1999.73~79.

[18] 方精云,朴士龙,贺金升,等.近20年来中国植被活动在增强.中国科学(C辑),2003,33(6):554~565.

[19] 朴士龙,方精云.1982~1999年我国陆地植被活动对气候变化相应的季节差异.地理学报,2003,58(1):119~125.

[20] 朴士龙,方精云.最近18年来中国植被覆盖的动态变化.第四纪研究,2001,21(4):294~302.

[21] Stow D, Daeschner S, Hope A, et al. Variability of the season-ally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s. International Journal of Remote Sensing,2003,24(5):1111~1117.

[22] 宋怡,马明国.基于SPOT VEGETATION数据的中国西北植被覆盖变化分析.中国沙漠,2007,27(1):89~93.

[23] 江田汉,邓莲堂. Hurst指数估计中存在的若干问题——以在气候变化研究中的应用为例.地理科学,2004,24(2):177~182.

[24] 杨建平,丁永康,陈仁升.长江黄河源区高寒植被变化的NDVI纪录.地理学报,2005,60(3):467~478.

[25] 付新峰,杨胜天,刘昌明.雅鲁藏布江流域NDVI变化与主要气候因子的关系.地理研究,2007,26(1):60~66.

[26] 陈佑启, Peter H V,徐斌.中国土地利用变化及其影响的空间建模分析.地理科学进展,2000,19:116~127.

[27] Malmstrom C M, Thompson M V, Juday G P, et al. Interannual variation in global-scale net primary production: Testing model estimates. Global Biogeochem.Cycle, 1977,11:367~392.

[28] 李双成,杨勤业.中国森林资源动态变化的社会经济学初步分析.地理研究, 2000,19(1):1~7.

Outlines

/