自寒武纪生物大爆发以来，地球上的生物经历了五次生物大灭绝事件，发生在晚二叠纪末期的是其中最大的一次。二叠纪-三叠纪之交生物大灭绝与复苏已成为当前国际古生物学研究的热点问题之一。由于当时中国华南（特提斯域）和西藏（冈瓦纳边缘）处在不同地理位置，两地之间生物灭绝和复苏延续的时间是否一致？全球生物灭绝是同时的还是随时间的推移存在地理上的迁移？这些问题都需要高精度区域地层对比研究来提供解决依据。因此，华南-西藏二叠纪-三叠纪高精度区域地层对比已经成为研究这一生物演化重大转折的关键问题之一。在全球层型剖面和点位(GSSP)和中国地层建阶标准的统一框架下，本项目通过多种地层学方法综合研究，建立与完善华南和西藏地区晚二叠世-中三叠世区域地层划分标准，进行相关地层单位之间的高精度对比，可有效推动二叠纪-三叠纪时期生物的灭绝与复苏以及环境的变化研究的深入开展，实现地层从区域对比发展到全球对比的目标。

Owing to natural factors, global biotic mass extinctions had appeared for five times since Cambrian biotic explosion. One of the most mass extinctions event happened in the end of Permian. The research on the Permian-Triassic biotic mass extinctions and recovery has become one of the important problem in the global paleontological research. Because South China (Tethys) and Tibet (Gondwanaland marginal) were situated in different geographical position during Permian and Triassic, we don't know whether or not the time of the biotic mass extinctions and recovery were identical between South China and Tibet; and biotic extinctions in the world happened at the same time, or passed with the lapse of time to move from South China to Tibet. For solving these important problems，the basis of the sitratigraphic correlation of high precision is very important. Therefore, the Permian-Triassic regional sitratigraphic correlations of high precision between South China and Tibet have become one of the heart of the matter in research on the major turning period of the biotic evolution. According to the Global Stratotype Section and Point(GSSP) and Unit-Stratotype of China, this project will establish the standards of the Late Permian-Middle Triassic regional stratigraphic division and correlation in South China and Tibet, and make stratigraphic correlation of high precision between South China and Tibet, by comprehensive study of different stratigraphic methods. These researches will bring about a great development in the study on the Permian -Triassic biotic mass extinctions and recovery as well as environmental change, and realize the aim from regional correlation to global correlation.