**5. Conclusions**

Based on the MOD13Q1 EVI remote sensing data, vegetation type data, topographical data, and three climatic data (air temperature, relative humidity, and precipitation) of different time series, the temporal and spatial distribution patterns and changing trends of the EVI in growing season were analyzed in IMAR from 2000 to 2015. Using the method of GRA, we studied the time lag of the EVI responding to climatic factors during the 16 years and finally zone the EVI driving areas according to the different climatic factors on the basis of time lag analysis. The main conclusions were as follows:


**Author Contributions:** D.H., G.Y., and T.Z. jointly designed the study and wrote the thesis. J.M., J.L., and X.B. all participated in the process of discussion, editing, and revision.

**Funding:** This research was funded by the National Natural Science Foundation of China (41501060), the China Geological Survey (DD20160015-26) and the accented term of natural science of Sichuan Provincial Education Department (18ZA0042).

**Acknowledgments:** The author thanks anonymous reviewers for providing invaluable comments on the original manuscript.

**Conflicts of Interest:** The authors declare no conflicts of interest.
