[Objective]To discover fossil habitats that can be compared with the Chengjiang biota in the lower Cambrian Qiongzhusi Formation,regional stratigraphic correlation,and further reveal the life evolution of early Cam-brian organisms,important paleontological fossil evidence is provided.[Methods]The study focuses on the macrobiot-ic fossils developed in the dark gray sandy shale of the lower Cambrian Qiongzhusi Formation.Fine profile surveys,fossil identification,electron probes,scanning electron microscopy,X-ray fluorescence(XRF)testing,and other analyses were conducted to explore the geological significance of the newly discovered macrobiotic fossils.[Results]The main types of fossils in Daxinshan include Kunmingella douvillei,pest ichnology,Conotheca sp.,Maotianshania sp.,Kutorgina chengjiangensis,Branchiocaris sp.,Vetulicola sp.,Eoredlichia sp.,and fossil leguminosae(unknown species).In addition,suspected skeletal fossils have been discovered at the same level in the Pude area.XRF scanning shows that the fossils contain relatively high concentrations of Ca,Cr,and P and are significantly different from the composition of the surrounding rock(Fe,S,Ti).Ca and P are the main constituent elements of skeletal fossils.The fossils in the Daxinshan Pude area are not only well preserved and relatively abundant,but also have a large number of individual and diverse species.[Conclusions and Prospects]Transportation to the fossil site is con-venient.Moreover,the occurrence of the fossils is relatively low compared to the"Chengjiang biota,"which has re-search significance and scientific popularization value.Thus,it is possible to establish a second early Cambrian biota in the Luquan area of central Yunnan:the Daxinshan Pude biota.This discovery provides important paleontological fossil research materials for studying the patterns,scope,recovery,paleoenvironmental evolution,and stratigraphic regional correlation of early Cambrian biological activities.
Chengjiang biotabone fossilslower CambrianQiongzhusi FormationLuquan area
维普
万方数据
