Study On The Response Of Vegetation To Climate Change In Xinjiang

Vegetation is one of the important role in terrestrial ecosystem, and plays a decisive role in the regulation of climate, control of CO2, environment and the study of global change. At the same time, vegetation has a significant impact on the earth’s surface radiation and hydrological characteristics. In addition, vegetation also can provide food and place for animals. Moreover, vegetation has obvious interannual and seasonal variation, and the dynamic change of vegetation can predict the trend of climate change.So the research on regional and global climate change is dependent on the analysis of dynamic changes of vegetation and vegetation response to climate change. Vegetation phenology is one of the most direct and sensitive indicators of climate change impacts on seasonal dynamics of the biosphere. Therefore, it is easier to study the dynamic change of vegetation and its response to climate change by analyzing the vegetation index and vegetation phenology. At the same time, it can avoid the isolation and uncertainty by the single factor, and make the monitoring result and effect more effective. In recent decades, remotely sensed data have become increasingly important to monitor dynamic changes of vegetation and Its response to climate change. However different vegetation types will lead to inconsistent results of the analysis of the same research area. Therefore, it is necessary and significant to carry out comprehensive analyses that remote sensing to climate change at regional, continental, and global scales.For tackling above problems, four procedures were critical. First, according to different regional vegetation types, Xinjiang is divided into five zones based on Chinese vegetation regionalization map. These five vegetation zones include Alpine desert zone(ⅧCi); Warm temperate zone half shrubs Desert shrubs zone(ⅦBiia); Temperate subshrub Desert shrubs zone(ⅦBib); Temperate subshrub Dwarf tree desert terrain(ⅦAi); Northern temperate grassland region(ⅥBia) from south to north, respectively. Then, spatial distribution of temperature and precipitation is simulated through the regression analysis method combined with spatial interpolation that latitude, longitude and elevation are considered.There are any novel findings in this paper:Currently, the normally satellite sensors have NOAA AVHRR,SPOT VGT,MODIS,Landsat MSS、TM and ETM+,VIIRS,MERIS and so on. Moreover, the widely used vegetation index is Normalized Difference Vegetation Index(NDVI) and Enhanced Vegetation Index(EVI). In this paper, using the latest AVHRR EVI2 long series data which the time resolution is from 1982 to 2013 and the spatial resolution is 0.05 degrees. On the one hand, Its prolonging the span of time which SPOT VGT/NDVI is starting in April 1998. On the other hand, Its improving the spatial resolution. Thirdly, According to five vegetation zones,using AVHRR EVI2 data and climate data,the paper analyzed dynamic,interannual,and monthly vegetation cover change in different vegetation and its response to climate change. Finally, using vegetation phenology and climate data,the paper analyzed dynamic,interannual,and monthly vegetation cover change in growing season and end season and its response to climate change.