陕西晚始新世植物群对于认识北秦岭地区新生代植被演变和古环境变化具有重要意义，但是目前关于该地区新生代相关化石植物群的报道和深入研究较少。本项目以陕南秦岭北缘临渭-蓝田地区晚始新世植物化石为研究对象，拟开展精细的古植物系统分类及古气候和古大气CO2浓度的定量化重建研究。项目将通过实验和现代技术手段，结合化石植物的形态学和解剖学特征，对化石进行准确鉴定，认识植物群的区系组成，进而利用生物群区化法和整合植物记录分析法分析植物群的古植被组成和植物多样性特征。进一步利用共存分析法、气候-叶片多变量分析程序对研究区秦岭北缘的古气候进行定量重建；利用化石角质层气孔参数重建该时期古大气CO2浓度。最终通过与其他古环境研究成果进行综合对比分析，以期揭示研究区晚始新世这一气候演化特殊时期的古气候和植被演化规律，阐明古环境与古植物的耦合关系，为预测未来气候变化和维护植物和环境的可持续发展提供一定的理论依据。

The Late Eocene floras from Shaanxi Province are significant to understand the Neogene evolution of vegetation and paleoenvironment changes in North Qinling Mountain. While the related fossil floras there have been rarely investigated. This project will carry out a detailed study of paleophytotaxonomy and quantitative reconstruction of paleoclimate and paleoatmospheric CO2 concentration based on the plant fossils from the Upper Eocene in the North Qinling Mountains, Linwei-Lantian Counties, Shaanxi Province. On the Basis of the morphological and anatomical analysis, the fossil leaves and fruits will be identified accurately, and therefore the vegetational composition and plant diversity will be discussed by the methods of Biome Reconstruction and Integrated Plant Record. The paleoclimate will be quantitative reconstructed with two methods, i.e., the coexistence approach (CA) and the climate leaf analysis multivariate program (CLAMP). The data of paleoatmospheric CO2 concentration can be obtained on the basis of stomatal frequency analysis of certain fossil and living species. Combining with previous research findings, this project will explore the paleoenvironment change trends in the Late Eocene, and probe deeply into the relationship among the plant evolution, paleoclimate changes and paleoatmospheric CO2-levels. The relationship analysis could provide certain theoretical basis for predicting the future climate change and maintenance of plant and environment sustainable development.