全球气候变化与陆地生态系统响应是当前全球变化研究的重要内容，而植被是生态系统的初级生产者，其活动变化对生态系统整体至关重要，因此，研究植被活动对气候变化的响应成为研究热点。青藏高原作为亚洲乃至北半球气候变化的“感应器”和“敏感区”，在区域生态环境和全球气候变化等方面扮演重要角色，所以，本项目将依据长时间序列的遥感数据和气象站资料，结合模式，获得长时间序列的青藏高原植被指数（NDVI）和净初级生产力（NPP），进而，采用相关性分析、分段线性回归和时序统计等方法分析青藏高原植被活动与气候变化之间的空间遥相关和时间记忆效应。研究内容包括：青藏高原植被活动与气候因子的空间遥相关、时间记忆效应以及时空滞后性，由此获得对青藏高原植被活动影响较大的气候因子的分布区域、青藏高原植被活动对区域内和区域外气候因子的响应的滞后时间，从而达到为预测未来植被活动的发展提供信息的目的。

Global climate change and terrestrial ecosystems response are important contents of the current global change research, and vegetation is the primary producer of terrestrial ecosystems, whose activity is critical to the whole ecosystems, therefore, the study on response of vegetation activity to climate change has become a hot research topic. As the "sensor" and "sensitive" region of Asia and Northern Hemisphere, Qinghai-Tibet plateau plays an important role in the regional ecological environment and global climate change. So, based on a new generation of long time series of remote sensing data and weather data, combined with vegetation - atmosphere interaction model, this study will obtain a long period of time sequence of vegetation index (NDVI) and net primary productivity (NPP) in Qinghai-Tibet plateau, and then, using correlation analysis, the piecewise linear regression and time-series statistical method to analysis space teleconnection and memory effects of climate change on vegetation activity in the Qinghai-Tibet Plateau. Research contents include: space teleconnection between vegetation activity in the Qinghai-Tibet plateau and climate factors, memory effects on vegetation and time-space lag of vegetation response, finally we will gain the distribution of the area where climate factors affecting the Qinghai-Tibet plateau vegetation greatly, the time lag of response of vegetation activity in Qinghai-Tibet plateau to climate factors both within and outside area. This study is supposed to provide information for predicting the future development of vegetation.