Original Articles

Study on The Response of Vegetation Cover to Precipitation and Temperature in Central/East Tibetan Plateau

Expand
  • 1. Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China|
    2. Graduate School, Chinese Academy of Sciences, Beijing 100049, China

Received date: 2005-06-01

  Revised date: 2005-08-01

  Online published: 2005-09-25

Abstract

The Tibetan Plateau is among the few extensive regions remoted from human disturbance, and provides an ideal site to study the response of vegetation cover to water/thermal conditions (WTC), esp. the response of natural vegetation. Therefore, this paper focuses on the spatial variation and then relations of water/thermal climate elements and NDVI (Normalized Difference Vegetation Index, AVHRR NDVI product of 8km) from year 1982 to 2000, mainly in central and east Tibetan Plateau where the gauge is basically dense enough to qualify related analyses. In the study, to investigate the relationships between spatial variation of water/thermal conditions and multi-year mean NDVI, trend surfaces of N (short for NDVI), P (short for precipitation), N-P relation and N-T relation are simulated, transects of four directions are designed and vegetation types are compared by group. The relation differences of N-P and N-T are respectively investigated, both spatially and biologically.   According to our study, following conclusions are reached: a) Climate elements: Ten-day mean NDVI of certain region in Tibetan Plateau is influenced less by the water and thermal climate elements if the vegetation cover is evergreen dense or totally sparse. On the other hand, temperate WTC (thus vegetation cover of temperate density) tends to have stronger relationship with NDVI than extreme conditions. b) Spatial variation: As indicated by transect analysis and trend surface simulation, the relation values of peripheral Plateau are low (often because of extreme WTC and thus extreme vegetation cover) while the values of main plateau body are over 0.75 (because of temperate WTC and thus temperate vegetation cover). c) Zonality: Since altitude plays an important role in the distribution of thermal condition in Tibetan Plateau, annual NDVI bears a abvious vertical zonality while the horizontal zonalities are not so distinct. In addition, the relations of NDVI with precipitation and temperature have no clear zonal characteristics.

Cite this article

ZHANG Wenjiang, GAO Zhiqiang . Study on The Response of Vegetation Cover to Precipitation and Temperature in Central/East Tibetan Plateau[J]. PROGRESS IN GEOGRAPHY, 2005 , 24(5) : 13 -22 . DOI: 10.11820/dlkxjz.2005.05.002

References


[1] 张镱锂, 张 玮, 摆万奇 等. 青藏高原统计数据分析——以人口为例. 地理科学进展, 2005, 24(1): 11~21.

[2] Ehrlich D, Estes J E, Singh A. Applications of NOAA-AVHRR 1 km data for environmental monitoring. IJRS, 1994, 15: 145~161.

[3] Eklundh L. Estimating relation between AVHRR NDVI and rainfall in East Africa at 10-day and monthly time scales. IJRS, 1998, 19(3): 563~568.

[4] 牛亚菲. 青藏高原生态环境问题研究. 地理科学进展. 1999, 18(2): 163~171.

[5] 莫申国, 张百平, 程维明等. 青藏高原的主要环境效应. 地理科学进展. 2004,23(2): 88~96.

[6] 潘保田, 李吉均, 陈发虎. 青藏高原: 全球气候变化的驱动力与放大气(I 新生代气候变化的基本特征). 兰州大学学报(自然科学版). 1995, 31(3): 120~128.

[7] 吴国雄, 毛江玉, 段安民, 张琼. 青藏高原影响亚洲夏季气候研究的最新进展. 气象学报. 2004, 62(5): 528~540.

[8] 赵昕奕, 张惠远, 万 军. 青藏高原气候变化对气候带的影响. 地理科学. 2002, 22(2): 190~195.

[9] Potter C S, V Brooks. Global analysis of empirical relations between annual climate and seasonality of NDVI . IJRS, 1998, 19(15): 2921~2948.

[10] Richard Y, I Poccard. A statistical study of NDVI sensitivity to seasonal and intern annual rainfall variations in Southern Africa. IJRS, 1998, 19(15): 2907~2920.

[11] 王正兴, 刘 闯, HU ETE Alfredo. 植被指数研究进展: 从AVHRR-NDVI到MODIS-EVI. 生态学报. 2003, 23(5): 979~987.

[12] James M E, Kalluri S N V. The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring. IJRS, 1994, 15: 3347~3363.

[13] 刘纪远, 布和敖斯尔. 中国土地利用变化现代过程时空特征的研究. 第四纪研究. 2000, 20(3): 229~240.

[14] Townshend J R G, J ustice C, Li W, Gurney C, McManus J. Global land cover classification by remote sensing: Present capabilities and future possibilities. RS Env., 1991, 35: 234~255.

[15] Townshend J R G. Global data sets for land applications from the AVHRR: an introduction. IJRS, 1994, 15: 3319~3332.

[16] Eastman J R, Fulk M. Long Time series evaluation using standardized principal components. PERS, 1993, 59: 991~996.

[17] 国家气象信息中心. http://cdc.cma.gov.cn. 2005.

[18] NASA. http://disc.gsfc.nasa.gov. 2005.

[19] 刘纪元, 刘明亮, 庄大方,等. 中国近期土地利用变化的空间格局分析. 中国科学D辑, 2002, 32(12): 1021~1039.

Outlines

/