Leaf area index (LAI) and fractional vegetation cover are widely used to characterize vegetation in land models for land-atmosphere interaction studies.The prediction of LAI is one of the core tasks of Dynamic Vegetation Models (DVMs), and the spatiotemporal relationship between the climate and simulated LAI or other vegetation variables simulated by DVMs needs to be evaluated and better understood.In this work, the Dynamic Global Vegetation Model in the Community Land Model version 3.0 (CLM3.0-DGVM) is utilized to address this issue by evaluating the simulated LAI using the new plant function type (PFT) LAI parameters derived from the Moderate Resolution Imaging Speetroradiometer (MODIS) data developed by The National Center for Atmospheric Research.