This study selected vegetation cover as the main evaluation index, calculated the grassland degradation index (GDI) and established the remote sensing monitoring and evaluation system for grassland degradation in Northern Tibet, according to the National Standard (GB19377-2003), based on the remote sensing data such as NDVI data derived from NOAA/AVHRR with a spatial resolution of 8 km of 1981–2000, from SPOT/VGT with a spatial resolution of 1 km of 2001 and from MODIS with a spatial resolution of 0.25 km of 2002–2004 respectively in this area, in combination with the actual condition of grassland degradation. The grassland degradation processes and their responses to climate change during 1981–2004 were discussed and analyzed in this paper. The result indicated that grassland degradation in Northern Tibet is very serious, and the mean value of GDI in recent 20 years is 2.54 which belongs to the serious degradation grade. From 1981 to 2004, the GDI fluctuated distinctly with great interannual variations in the proportion of degradation degree and GDI but the general tendency turned to severe-grade during this period with the grassland degradation grade changed from light degraded to serious degraded in Northern Tibet. The extremely serious degraded and serious degraded grassland occupied 1.7% and 8.0% of the study area, the moderate and light degraded grassland accounted for 13.2% and 27.9% respectively, and un-degraded grassland occupied 49.2% of the total grassland area in 2004. The grassland degradation was serious, especially in the conjunctive area of Naqu, Biru and Jiali counties, the headstream of the Yangtze River lying in the Galadandong snow mountain and glaciers, the area along the Qinghai-Tibet highway and railway, and areas around the Tanggula and Nianqingtanggula snow mountains and glaciers. So the snow mountains and glaciers as well as their adjacent areas in Northern Tibet were sensitive to climate change and the areas along the vital communication line with frequent human activities experienced relatively serious grassland degradation.
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Carlson T N, D A Ripley, 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62: 241–252.
Chen Yunhao, Li Xiaobing, Shi Peijun et al., 2001. Estimating vegetation coverage change using remote sensing data in Haidian District, Beijing. Acta Phytoecologica Sinica, 25(5): 588–593. (in Chinese)
Department of Animal Husbandry and Veterinary, The General Station of Animal Husbandry and Veterinary of the Ministry of Agriculture of China, 1996. Rangeland Resources of China. Beijing: Science and Technology Press of China. (in Chinese)
Ding Jianli, Tashpolat Tiyip, Liu Chuansheng, 2003. Study on dynamic change of Qira oasis plant cover based on remote sensing. Journal of Desert Research, 23(1): 79–83. (in Chinese)
Eastwood J A, Yates M G, Thomson A G et al., 1997. The reliability of vegetation indices for monitoring saltmarsh vegetation cover. Int. J. Remote Sensing, 18(18): 3901–3907.
Gansu Grassland Ecological Research Institute and Animal Husbandry Bureau of Naqu Prefecture of Tibet, Grassland Resources and Animal Production in the Naqu Region of Tibet. Lanzhou Gansu Science and Technology Press, 1991. (in Chinese)
GB19377-2003: Parameters for Degradation, Sandification and Salification of Rangelands. (in Chinese)
Geerkena R, Ilaiwi M, 2004. Assessment of rangeland degradation and development of a strategy for rehabilitation. Remote Sensing of Environment, 90: 490–504.
Holma A M, Cridland S W, Roderick M L, 2003. The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of western Australia. Remote Sensing of Environment, 85: 145–158.
Leprieur C, Kerr Y H, Mastorchio S et al., 2000. Monitoring vegetation cover across semi-arid regions: comparison of remote observations from various scales. Int. J. Remote Sensing, 21(2): 281–300.
Li Jianlong, Huang Jingfeng, Wang Xiuzhen, 1997. Remote Sensing of Grassland. Beijing: China Meteorological Press. (in Chinese)
Li Mingsen, 2000. Rational exploitation of grassland resources in the Northern Xizang Plateau. Journal of Natural Resources, 15(4): 335–339. (in Chinese)
Liu Shuzhen, Zhou Lin, Qiu Chongshan et al., 1999. Studies on Grassland Degradation and Desertification of Naqu Prefecture in Tibet Autonomous Region. Lhasa: Tibet People’s Press. (in Chinese)
Liu Xuesong, Ma Yucai, Laba et al., 2003. Climatic Regionalization of the Animal Husbandry of Naqu Region. Beijing: China Meteorological Press. (in Chinese)
Naqu Statistical Bureau, 2001. The Corpus of Statistical Data of Naqu Prefecture in Tibet Autonomous Region (1958–2000). Lhasa: Tibet Statistical Press. (in Chinese)
Purevdorj T, Tateishi R, Ishiyama T et al., 1998. Relationships between percent vegetation cover and vegetation indices. Int. J. Remote Sensing, 19(18): 3519–3535.
Sun Hongyu, Wang Changyao, Niu Zheng et al., 1998. Analysis of the vegetation cover change and the relationship between NDVI and environmental factors by using NOAA time series data. Journal of Remote Sensing, 2(3): 204–210. (in Chinese)
Tong Chuan, Yang Jingrong, Yong Weiyi et al., 2002. Spatial pattern of steppe degradation in Xilin river basin of Inner Mongolia. Journal of Natural Resources, 17(5): 201–206. (in Chinese)
Tu Jun, Xiong Yan, Shi Dejun, 1999. Study on alpine meadow and grassland degradation with remote sensing techniques in Qinghai, China. J. Appl. Environ. Biol., 5(2): 131–135. (in Chinese)
Wei Xinghu, Yang Ping, Wang Yajun et al., 2003. The current management pattern and grassland degradation in Naqu prefecture, Tibet, China. Pratacultural Science, 20(9): 49–53. (in Chinese)
Wittich K P, Hansing O, 1995. Area-averaged vegetative cover fraction estimated from satellite data. International Journal of Biometereology, 38: 209–215.
Zha Yong, Gao Jay, Ni Shaoxiang, 2003. Most recent progress of international research on remote sensing of grassland resources. Progress in Geography, 22(6): 607–617. (in Chinese)
Zhang Jianping, Liu Shuzhen, Zhou Lin et al., 1998. Soil degradation of main grassland in Naqu area of Tibet. Journal of Soil Erosion and Soil and Water Conservation, 4(3): 6–11. (in Chinese)
Zou Yarong, Zhang Zengxiang, Zhao Xiaoli et al., 2003. Analysis of grassland resource dynamics in China’s arid region supported by RS and GIS. Research of Environmental Science, 16(1): 19–26. (in Chinese)
Foundation: The National Basic Research Program of China, No.2002CB412508; Cooperation project with Naqu Bureau of Agriculture and Husbandry Management Department and Institute of Agricultural Environment and Sustainable Development
Author: Gao Qingzhu (1975–), Ph.D., specialized in physical geography, mainly engaged in climate change and its impact on grassland ecosystem, land use and ecological security.
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Gao, Q., Li, Y., Wan, Y. et al. Grassland degradation in Northern Tibet based on remote sensing data. J GEOGR SCI 16, 165–173 (2006). https://doi.org/10.1007/s11442-006-0204-1