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| 1 | Discussion on geobiology, biogeology and geobiofacies显示文摘Here we first discuss the definition of and the difference between geobiology and biogeology following a brief introduction of recent geobiology research in China. Geobiology is defined as an interdisciplinary study of life sciences and earth sciences, and biogeology as an interdisciplinary study of biology and geology. Scope of the term geobiology covers that of the term biogeology. Branch interdisciplines of both are listed. We then propose the term geobiofacies, defined as the facies of a geologic body embodying the whole process of interaction between organisms and environments. Differences among geobiofacies, biofacies, and organic facies are discussed. Main parameters defining a geobiofacies include habitat type, biotic composition and productivity, paleo-oxygenation regimes, and early diagenesis phases. Each of them is discussed in detail, and a semi-quantitative assessment of the biogeofacies of source rocks is proposed based on these parameters. A two-fold terminology for geobiofacies is recommended, namely, the biological and environmental aspects of biota and the redox conditions during life-burial-diagenesis | YIN HongFu XIE ShuCheng QING JianZhong YAN JiaXin LUO GenMing | 2008 | Science China Earth Sciences2008，51，11： | 11 |
| 2 | Progress and perspective on frontiers of geobiology显示文摘Geobiology is a new discipline on the crossing interface between earth science and life science,and aims to understand the interaction and co-evolution between organisms and environments.On the basis of the latest international achievements,the new data presented in the Beijing geobiology forum sponsored by Chinese Academy of Sciences in 2013,and the papers in this special issue,here we present an overview of the progress and perspectives on three important frontiers,including geobiology of the critical periods in Earth history,geomicrobes and their responses and feedbacks to global environmental changes,and geobiology in extreme environments.Knowledge is greatly improved about the close relationship of some significant biotic events such as origin,radiation,extinction,and recovery of organisms with the deep Earth processes and the resultant environmental processes among oceans,land,and atmosphere in the critical periods,although the specific dynamics of the co-evolution between ancient life and paleoenvironments is still largely unknown.A variety of geomicrobial functional groups were found to respond sensitively to paleoenvironmental changes,which enable the establishment of proxies for paleoenvironmental reconstruction,and to play active roles on the Earth environmental changes via elemental biogeochemical cycles and mineral bio-transformations,but to be deciphered are the mechanisms of these functional groups that change paleoenvironmental conditions.Microbes of potential geobiology significance were found and isolated from some extreme environments with their biological properties partly understood,but little is known about their geobiological functions to change Earth environments.The biotic processes to alter or modify the environments are thus proposed to be the very issue geobiology aims to decipher in the future.Geobiology will greatly extend the temporal and spatial scope of biotic research on Earth and beyond.It has great potential of application in the domains of resource exploration and global change.To achieve these aims needs coordinative multidisciplinary studies concerning geomicrobiology and related themes,database and modeling of biogeochemical cycles,typical geological environments,and coupling of biological,physical,and chemical processes. | XIE ShuCheng YIN HongFu | 2014 | Science China Earth Sciences2014，57，5： | 10 |
| 3 | The fluctuating environment associated with the episodic biotic crisis during the Permo/Triassic transition:Evidence from microbial biomarkers in Changxing,Zhejiang Province显示文摘The environmental conditions and the biotic crisis during the Permo-Triassic (Tr/P) transition received increasing attention in the past decades. Presented herein are the molecular fossil records of cyano-bacteria and green sulfur bacteria,the base of the marine ecosystem,to highlight the episodic nature of both the environment and the biotic crisis during this critical period. At least two episodes of cyano-bacterial expansion are documented by 2-methylhopanes ranging from C28 to C32 in carbon number,indicative of the instable marine ecosystem and the fluctuant aquatic nutrients. Meanwhile,the index of 2-alkyl-1,3,4-trimethylbenzenes (biomarkers of green sulfur bacteria) and the ratio of pristane to phy-tane (Pr/Ph) witness the fluctuation of sedimentary environmental redox conditions. The above mo-lecular evidence suggests the occurrence of highly fluctuating environmental conditions during the Tr/P transition,which is consistent with,and probably the cause of,the multi-phased biotic crisis and the prolonged faunal recovery. | HUANG XianYu JIAO Dan LU LiQiang XIE ShuCheng HUANG JunHua WANG YongBiao YIN HongFu WANG HongMei ZHANG KeXin LAI XuLong | 2007 | Science China Earth Sciences2007，50，7： | 10 |
| 4 | Geobiological approach to evaluating marine carbonate source rocks of hydrocarbon显示文摘Evaluating the pre-Jurassic marine source rocks in China has been difficult because these rocks are generally too highor over-maturated for most traditional methods to work.As to the remaining parameter TOC (%),its lower limit for recognizing the carbonate source rocks in China has been in dispute.Nineteen Phanerozoic sections in the Middle-Upper Yangtze Platform and the Guizhou-Hunan-Guangxi Basin have been studied in search for a different approach to complementing the traditional evaluation method for these source rocks.We have applied a geobiological approach to tracing the organic carbon (OC) output and accumulation from the living stage (primary productivity) to the post-mortem deposited remains,and finally to the preserved burial organics.Four biological and geological parameters are employed to represent the OC of the three stages.A series of proxies of these parameters are discussed and integrated to establish a geobiological evaluation system independent of TOC and other traditional methods.Here we use the Guangyuan section in Sichuan as an example for the geobiological evaluation.Our results indicate that in the argillaceous rocks,the geobiological parameters show the qualified source rocks in accordance with high TOC values;but in the carbonates,the good source rocks delineated by the geobiological parameters have a wide range of TOC,from 0.03% to 1.59%,mostly<0.3%.We suggest that it is still premature to set TOC=0.3% or 0.5% as the lower limit for the pre-Jurassic carbonate source rocks in South China. | YIN HongFu XIE ShuCheng YAN JiaXin HU ChaoYong HUANG JunHua Tenger QIE WenKun QIU Xuan | 2011 | Science China Earth Sciences2011，54，8： | 7 |
| 5 | Novel polybenzimidazole/graphitic carbon nitride nanosheets composite membrane for the application of acid-alkaline amphoteric water electrolysis显示文摘It is a great challenge to develop membrane materials with high performance and long durability for acidalkaline amphoteric water electrolysis.Hence,the graphitic carbon nitride(g-C_(3)N_(4))nanosheets were compounded with the(2,2'-m-phenylene)-5,5'-benzimidazole(m-PBI)matrix for the preparation of m-PBI/g-C_(3)N_(4) composite membranes.The synthesis of g-C_(3)N_(4) nanosheets and m-PBI matrix have been confirmed by X-ray diffraction(XRD),scanning electron microscopy(SEM),transmission electron microscoy(TEM)and ^(1)H nuclear magnetic resonance spectra(^(1)H NMR),respectively.The fourier transform infrared spectroscopy(FT-IR)and SEM of the composite membranes showed the g-C_(3)N_(4) nanosheets were well dispersed in the m-PBI/g-C_(3)N_(4) composite membrane.The mechanical properties test exhibited the good mechanical strength,and the TGA curves of m-PBI showed the high thermal stability of composite membranes.Besides,the m-PBI/g-C_(3)N_(4) composite membrane showed excellent proton and hydroxide ion conductivity,which was higher than pure m-PBI and Nafion 115 membrane.The acid-alkaline amphoteric water electrolysis test showed m-PBI/1%g-C_(3)N_(4) composite membrane has the best performance with a current density of 800 mA cm^(-2) at cell voltage of 1.98 V at 20℃.It showed that m-PBI/g-C_(3)N_(4) composite membrane has a good application prospect for acid-alkaline amphoteric water electrolysis. | Bo Lv Hang Yin Zhigang Shao Zoujie Luan Ziyi Huang Shucheng Sun Yue Teng Chunhui Miu Qiang Gao | 2022 | Journal of Energy Chemistry2022，31，1： | 2 |
| 6 | Two episodes of microbial change coupled with Permo/Triassic faunal mass extinction 显示文摘 | Xie Shucheng Pancost R D Yin Hongfu | 2005 | Nature2005，434，： | 1 |
| 7 | On the geobiological evaluation of hydrocarbon source rocks显示文摘 | Xie Shucheng Hongfu Yin Xinong Xie Jianzhong Qin Chaoyong Hu Jiaxin Yan Junhua Huang Lian Zhou Xianghua Yang Yongbiao Wang Sihuang Xu | 2007 | Frontiers of Earth Science in China2007，，4： | 1 |
| 8 | On the geobiological evaluation of hydrocarbon source rocks显示文摘 | Xie Shucheng Hongfu Yin Xinong Xie Jianzhong Qin Chaoyong Hu Jiaxin Yan Junhua Huang Lian Zhou Xianghua Yang Yongbiao Wang Sihuang Xu | | 0，2007，： | 1 |
| 9 | Deep learning-based subseasonal to seasonal precipitation prediction in southwest China:Algorithm comparison and sensitivity to input features显示文摘The prediction of precipitation at subseasonal to seasonal(S2S)timescales remains an enormous challenge because of the gap between weather and climate predictions.This study compares three deep learning algorithms,namely,the long short-term memory recurrent(LSTM),gated recurrent unit(GRU),and recurrent neural network(RNN),and selects the optimal algorithm to establish an S2S precipitation prediction model.The models were evaluated in four subregions of the Sichuan Province:the Plateau,Valley,eastern Basin,and western Basin.The results showed that the RNN model had better performance than the LSTM and GRU models.This could be because the RNN model had an advantage over the LSTM model in the transformation of climate indices with positive and negative variations.In the validation of test datasets,the RNN model successfully predicted the precipitation trend in most years during the wet season(May-October).The RNN model had a lower prediction bias(within±10%),higher sign accuracy of the precipitation trend(~88.95%),and greater accuracy of the maximum precipitation month(>0.85).For the prediction of different lead times,the RNN model was able to provide a stable trend prediction for summer precipitation,and the time correlation coefficient score was higher than that of the National Climate Center of China.Furthermore,this study proposed a method to measure the sensitivity of the RNN model to different input features,which may provide unprecedented insights into the nonlinear relationship and complicated feedback process among climate systems.The results of the sensitivity distribution are as follows.First,the Niño 4 and Niño 3.4 indices were equally important for the prediction of wet season precipitation.Second,the sensitivity of the snow cover on the Tibetan Plateau was higher than that in the Northern Hemisphere.Third,an opposite sensitivity appeared in two different patterns of the Indian Ocean and sea ice concentrations in the Arctic and the Barents Sea. | GuoLu Gao Yang Li XueYun Zhou XiaoMing Xiang JiaQi Li ShuCheng Yin | 2023 | Earth and Planetary Physics2023，7，4： | 0 |
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