Characteristics and causes of vegetation variation in the source regions of the Yellow River, China

The eco-environment in the source region of the Yellow River in western China has been experiencing deterioration in the past decades. Vegetation affected by climate variables and anthropogenic activities is indicative of eco-environment well-being. To quantify temporal and spatial variations of vegetation coverage and analyse potential causes for the variations, we analysed the normalized difference vegetation index (NDVI), temperature and precipitation data from 2000 to 2007. We found that altitude and topographic aspects have a strong influence on vegetation coverage. Altitudes between 4500 and 4800 m and shady aspects provide more favourable environments for vegetation growth. Data show stronger vegetation growth within the temperature range of 4.5–5.5°C. Vegetation growth generally increases with precipitation. At higher elevations of 4800–5200 m, however, despite high precipitation rates, lower temperatures restrict growth. Local hydrology conditions are found to directly influence vegetation variations. Vegetation degradation increases with distance from surface water boundaries up to 4 km, but groundwater might serve as a reliable source for preventing vegetation from degrading. Finally, we found that the percentage of degradation decreases with increasing distance from residential loci up to 24 km, which suggests that overgrazing can be a lead cause for localized vegetation degradation. Findings of this study may have a broad implication in assessing vegetation variation and grassland restoration.

[1]  Zhou Huakun,et al.  Degradation process and integrated treatment of "black soil beach" grassland in the source regions of Yangtze and Yellow Rivers , 2003 .

[2]  G. Foody Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI–rainfall relationship , 2003 .

[3]  José M. Paruelo,et al.  Grazing effect on NDVI across an aridity gradient in Argentina , 2008 .

[4]  G. Cox,et al.  ~ " " " ' l I ~ " " -" . : -· " J , 2006 .

[5]  J. Townshend,et al.  African Land-Cover Classification Using Satellite Data , 1985, Science.

[6]  John R. Wolberg,et al.  Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments , 2005 .

[7]  Sharon E. Nicholson,et al.  A STUDY OF RAINFALL AND VEGETATION DYNAMICS IN THE AFRICAN SAHEL USING NORMALIZED DIFFERENCE VEGETATION INDEX , 1990 .

[8]  Eco-Environmental Degradation in the Source Region of the Yellow River, Northeast Qinghai-Xizang Plateau , 2006, Environmental monitoring and assessment.

[9]  C. Nilsson,et al.  Slope aspect modifies community responses to clear-cutting in boreal forests. , 2007, Ecology.

[10]  Sharon E. Nicholson,et al.  On the relation between rainfall and the Normalized Difference Vegetation Index for diverse vegetation types in East Africa , 1993 .

[11]  Hu Cui-hua Development and Cause of Aeolian Desertification in Alpine Region—In Case of Maduo County in Yellow River Source Area , 2007 .

[12]  Gerald van Belle,et al.  Nonparametric Tests for Trend in Water Quality , 1984 .

[13]  Jin Chen,et al.  Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction , 2006 .

[14]  Yanhong Tang,et al.  Alpine grassland degradation and its control in the source region of the Yangtze and Yellow Rivers, China , 2005 .

[15]  Steven W. Running,et al.  Community type differentiation using NOAA/AVHRR data within a sagebrush-steppe ecosystem , 1993 .

[16]  C. Colvin,et al.  A review of information on interactions between vegetation and groundwater , 1999 .

[17]  Wanqin Guo,et al.  Vegetation cover changes and their relationship to climate variation in the source region of the Yellow River, China, 1990–2000 , 2008 .

[18]  J. D. Tarpley,et al.  Global vegetation indices from the NOAA-7 meteorological satellite , 1984 .

[19]  Wout Verhoef,et al.  Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images , 1993 .

[20]  M. Hayashi,et al.  Groundwater-wetland ecosystem interaction in the semiarid glaciated plains of North America , 2009 .

[21]  Ranga B. Myneni,et al.  Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems , 2004 .

[22]  C. Tucker,et al.  Global Interannual Variations in Sea Surface Temperature and Land Surface Vegetation, Air Temperature, and Precipitation , 2001 .

[23]  Ju Qian,et al.  The land ecological evolutional patterns in the source areas of the Yangtze and Yellow Rivers in the past 15 years, China , 2006, Environmental monitoring and assessment.

[24]  L. J. Blancoa,et al.  Grazing effect on NDVI across an aridity gradient in Argentina , 2008 .

[25]  G. Wang,et al.  Eco-environmental degradation and causal analysis in the source region of the Yellow River , 2001 .

[26]  Jianping Yang,et al.  Spatial and temporal of variations of alpine vegetation cover in the source regions of the Yangtze and Yellow Rivers of the Tibetan Plateau from 1982 to 2001 , 2006 .

[27]  Feng Zhaodong Spatial and Temporal Changes of Desertification in the Headwater Area of the Yellow River Using Remote Sensing , 2007 .

[28]  C. Tucker,et al.  Satellite remote sensing of rangelands in Botswana II. NOAA AVHRR and herbaceous vegetation , 1986 .

[29]  Zheng Du,et al.  Uplifting of Tibetan Plateau with Its Environmental Effects , 2006 .

[30]  Wang Yibo,et al.  Impacts of permafrost changes on alpine ecosystem in Qinghai-Tibet Plateau , 2006 .

[31]  Yaning Chen,et al.  Ground-water level affects plant species diversity along the lower reaches of the Tarim River, Western China , 2006 .