摘要

total of 237 surface soil pollen samples were collected from less disturbed zonal communities, and a new surface pollen data set has been established in northern China. Pollen - climate parameter transfer functions using weighted-averaging regression and calibration partial least squares (WA-PLS) model as a tool to reconstruct past climate changes from pollen data, were tested with this new surface pollen data set. The results of cross-validation showed that the method worked very well with precipitation (R = 0.94, R-jack(2) = 0.89, RMSEPjack = 69 mm, the safe dynamic range of the reconstruction was 40 mm similar to 800 mm) and worked well with temperature (T-ann: R = 0.84, R-jack(2) = 0.71, RMSEPjack = 2.0 degrees C, the safe dynamic range of the reconstruction was -4 degrees C similar to 13 degrees C; MTwa: R = 0.79, R-jack(2) = 0.63, RMSEPjack = 2.5 degrees C, and the safe dynamic range of the reconstruction was 8 degrees C similar to 26 degrees C), indicating that the surface pollen data set and WA-PLS reconstruction technique in this paper have strong potential for palaeoclimatic reconstruction.