Global warming has become the undisputed facts, while since the last century, climate change is becoming the focus of governments, scientists and public concern, and focusing on the science of climate change has become one of the topics the active participation of domestic and foreign scholars. Climate change on Earth's
ecosystems change is enormous, and vegetation as the most sensitive ecosystems and the most vulnerable part responded to climate change mechanism, which attracted a lot of research scholars’ attention. West Kunlun Mountains located in China's westernmost region, northwestern Qinghai-Tibet Plateau, which is a typical alpine arid area, ecologically fragile vegetation by high climate impact. There is less vegetation growth conditions on the western Kunlun Mountains region under climate change research. So pending further study is that West Kunlun Mountains how to change in vegetation region in recent years, and vegetation growth how to respond to climate change.Meanwhile vegetation changes in West Kunlun Mountains and the surrounding areas whether they are differences, and so on.
In this paper, data are TERRA satellite MODIS-NDVI data, which combined with the region's digital elevation model DEM, vegetation type and temperature and precipitation data. Based on a linear regression, correlation analysis Theory, we researched 2000-2013, a total of 14 years, that the overall vegetation time and space in the growing season NDVI maximum and average distribution and trends of different vegetation types and its relationship with climatic factors (temperature and precipitation), topographic features (altitude, slope aspect, slope) in West Kunlun Mountains. Then we explored that the relationship between changes in vegetation and terrain factors and their response to climate change under the currently background of climate change in West Kunlun Mountains area. It is help to ecological protection and vegetation in Tibet alpine area which provides a reference value and reference recovery.