THE QUALITY ASSESSMENT,INTEGRATION AND APPLICATION OF CHINESE MODERN POLLEN DATASETS
High-quality modern pollen datasets and accurate meteorological interpolation data are the foundation of paleoclimate quantitative reconstruction.In recent decades,several modern pollen datasets covering China and adjacent areas have been published,which greatly promoted the research of palynology in paleoclimatic and paleoenvironmental reconstruction.However,the databases were established by researchers in different years,three issues need to be noted in the use of the datasets:(1)The standard of pollen species classification is not unified,and some datasets excluded the pteridophyte spores and aquatic pollen components;(2)The meteorological interpolation of modern pollen samples is not standardized,often using grid longitude and latitude values,lacking vertical altitude correction;(3)The spatial distribution of modern pollen samples exists heterogeneity.This article evaluates and integrates the newly added pollen data of more than 1791 samples in the cold and arid areas of the Tibetan Plateau and other published pollen data,standardizes pollen types,deletes duplicate and poor-quality samples;compares the advantages and disadvantages of the grid method and inverse distance method in interpolation the mean annual temperature(MAT)and annual precipitation(MAP).It is organized into a modern pollen dataset(MPD_IGG.A)containing 9484 samples of 555 families/genera,of which 5107 samples including pteridophyte spores and aquatic pollen constitute the MPD_IGG.B dataset,and 4377 samples without pteridophyte spores and aquatic pollen constitute the MPD_IGG.C dataset.The MPD_IGG.A dataset covers an area from latitude 6°N to 65° N,from longitude 67° E to 146° E,and from elevation-159 m to 5570 m.Quality evaluation shows that using the database(MPD_IGG.B)with pteridophyte spores and aquatic plant pollen and meteorological interpolated by the inverse distance method to establish a transfer function,has a relatively smaller prediction error and a higher correlation coefficient between the reconstructed value and the observation value.The newly integrated three datasets will provide important support for quantitative reconstruction of paleoclimate,paleoenvironment,and paleoecology in China.
IGG modern pollen datasetclimatic interpolationpaleoclimatic quantitative reconstruction
万方数据
维普
