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A high-resolution late Pleistocene record of pollen vegetation and climate change from Jingning, NW{1.

Science china Earth {1. 2006年第2期49卷 154-162页

作者： li chunhai12. tang lingyu1,{1.,4,{2., Chinese academy of sciences, nanjing 2.0008, china 2. Nanjng institute of Geography and limnology, Chinese academy of sciences, nanjing 2.0008, china 3. Environment and Resources College, Lanzhou University, Lanzhou 730000, china 4. Beijing Normal University, Beijing 1.0875, china 1. nanjing {1. of geology and palaeontology Chinese Academy of Sciences Nanjing 210008 China 2. Nanjng institute of Geography and {1.mnology Chinese Academy of Sciences Nanjing 210008 China 3. Environment and Resources College Lanzhou University Lanzhou 730000 China 4. Beijing Normal University Beijing 100875 China

With the support of 1. AMS-1.C data, a high-resolution pollen record from the Suancigou section at Jingning, Gansu Province was estab{2.shed. Our results showed that the vegetation ex-perienced a series of changes characterized by the alternative growth and dec{2.ne of forest and steppe components during the period from 44.2.to 1. ka B.P. in the Jingning area. Over the period of 44―2. ka B.P. (MIS3), coniferous forests were flourishing, indicating a humid c{2.mate with the tem-perature being lower than that of the present. Since 2. ka B.P., the vegetation was dominated by steppe-desert steppe under a cold and dry condition, and entered the Last Glacial Maximum domi-nated by desert steppe. Several periods of the marked decrease in the arborous pollen content in Suancigou well corresponded to the North Atlantic Heinrich events, especially to Heinrich event 3, further supporting that the Heinrich events were well reflected by the pollen record in the Loess Pla-teau as well.

关键词： Western Loess Plateau, pollen record, climatic change, late Pleistocene.

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Quantitative Estimates of Climate since the Last Deglaciation from Pollen in Northwest Yunnan,SW{1.

Quantitative Estimates of Climate since the Last Deglaciatio...

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中国古生物学会孢粉学分会十届二次学术年会

作者： Caiming Shen Bin Yin Hongwei Meng linpei Huang Qifa Sun Qian Zheng {1. {2. lingyu tang chunhai li Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Changes College of Tourism and Geographical SciencesYunnan Normal University nanjing {1. of {2. and Paleontology Chinese Academy of Sciences nanjing {1. of Geography and {2.mnology Chinese Academy of Sciences

A modern pollen dataset used in this study consists of 75 surface samples from ponds,lakes,and reservoirs in Northwest Yunnan,Southwest *** data for each site,including monthly,seasonal and dry/rainy seasonal,as well as mean annual temperature and precipitation,were derived from observational data（1.61.2.1.） of 2. meteorological stations in this region using linear interpolation *** correspondence analysis（CCA） was used to reveal the climatic parameters that best reflect the main patterns of variation in this modern pollen dataset,and to detect anomalous *** of CCA indicate that mean annual precipitation（MAP）,precipitation in dry season（November-April）（Pds）,and January temperature（Tjan） are three climatic parameters controlling the variation of this modern pollen dataset in Northwest ***–climate transfer functions for MAP,Pds and Tjan were developed using the weighted-averaging partial least squares（WA-PLS） regression *** to the performance of WA-PLS regression models,3-component WA-PLS models were selected respectively for these three climatic parameters with low RMSEP（the root mean square error of prediction）,low maximum bias,and high coefficient of determination（r2. between observed and predicted values（RMSEP=48.7,1..9 mm,and 1.0 ℃;Maximum Bias=79.8,37.1.mm,and 1.6 ℃;r2.0.6,0.6,and 0.74 for MAP,Pds and Tjan,respectively）.Transfer functions for MAP,Pds and Tjan were then applied to a fossil pollen record from Lugu Lake in Northwest Yunnan to reconstruct paleoclimate in the catchment of this *** estimates of paleoclimate show that MAP and Pds fluctuated around 1.00 and 1.0 mm（their present values）,but Tjan is 0.8-4.3 ℃ lower than the present（5 ℃） during 1.000-12800 a BP（cal.a BP）.From 12800 to 1.500 a BP,MAP and Pds were ca.50 and 2. mm higher than the present,and Tjan increased to be the present *** climatic parameters at 1.500-91.0 a BP reached their maxima throughout the last d

关键词： Quantitative estimates,Climate Pollen,Transfer functions,Northwest Yunnan,Last deglaciation

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Sub-percent precision measurement of neutrino oscillation parameters with JUNO

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Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonel{1. Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basi{1.co Eric Baussan Marco Bellato Antonio Bergno{1. Thilo Birkenfeld Sylvie B{1.n David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming Chen Pingping Chen Po-An Chen Shaomin Chen Xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso O{1.via Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei {1.-Cheng feng Qichun feng Richard Ford Amé{1.e Fournier Haonan Gan feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics institute YerevanArmenia Universiélibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina china {1. of Atomic Energy BeijingChina institute of High Energy Physics BeijingChina North china Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese academy of {1. BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin institute of Technology HarbinChina University of Science and Technology of china HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South china HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina institute of Modern Physics Chinese Academy of SciencesLanzhouChina nanjing University NanjingChina Guangxi University NanningChina East china University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee institute Shanghai Jiao Tong UniversityShanghaiChina institute of Hydro{1. and Environmental {1. Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi'an Jiaotong University Xi'anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31.^(2.,△m_(2.1}^(2.,sin^(2.θ_({1.),and sin^(2.θ_(1.) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(2.1}^(2. and sin^(2.θ_({1.) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31.^(2. parameter will be determined to about 0.2.precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

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中国现代花粉数据集

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植物生态学报 2021年第7期45卷 799-808页

作者：陈海燕徐德宇廖梦娜李凯倪健曹现勇程波郝秀东孔昭宸李升峰李小强刘光琇刘平妹刘兴起孙湘君唐领余魏海成许清海阎顺羊向东杨振京于革张芸张志勇赵克良郑卓 Ulrike HERZSCHUH 浙江师范大学化学与生命科学学院浙江金华321004 浙江金华山亚热带森林生态系统野外科学观测研究站浙江金华321004 中国科学院青藏高原研究所青藏高原地球系统科学国家重点实验室北京100101 华中师范大学城市与环境科学学院武汉430079 南宁师范大学北部湾环境演变与资源利用教育部重点实验室南宁530001 中国科学院植物研究所北京100093 南京大学地理与海洋科学学院南京210023 中国科学院古脊椎动物与古人类研究所北京100044 中国科学院西北生态环境资源研究院兰州730000 台湾大学地质科学系中国台北106171 首都师范大学资源环境与旅游学院北京100048 同济大学海洋与地球科学学院上海200092 中国科学院南京地质古生物研究所南京210008 中国科学院青海盐湖研究所西宁810008 河北师范大学资源与环境科学学院石家庄050027 中国科学院新疆生态与地理研究所乌鲁木齐830011 中国科学院南京地理与湖泊研究所南京210008 中国地质科学院水文地质与环境地质研究所石家庄050061 中国科学院庐山植物园江西九江332900 中山大学地球科学与工程学院广州510275 Alfred Wegener institute Helmholtz Centre for Polar and Marine Research Potsdam 14473Germany

孢粉是重建古植被、古气候的重要基础数据。孢粉数据库对研究样点至区域和全球尺度上的古环境演变规律、古气候变化特征反演和古生物地球化学循环模拟等具有重要意义。该文收集整理了中国1.60–2.2.年间发表和部分未发表的现代花粉数据... 详细信息

孢粉是重建古植被、古气候的重要基础数据。孢粉数据库对研究样点至区域和全球尺度上的古环境演变规律、古气候变化特征反演和古生物地球化学循环模拟等具有重要意义。该文收集整理了中国1.60–2.2.年间发表和部分未发表的现代花粉数据记录,包括样品编号、采样位置、采样地经纬度和海拔高度、样品类型、数据来源、数据类型、周边植被信息、参考文献、花粉类群及其含量等信息;并对数据进行筛选和标准化等处理,由此整合为中国现代花粉数据集。该数据集由4 497个现代花粉采样点的数据信息组成,包括660个来自中国第四纪孢粉数据库数据,1.763个前期整理发表的数据和2.074个近期收集的数据,涵盖772.花粉类群。样品类型以土壤表层样品(3 332.)为主,苔藓样品以及湖泊、海洋表层样品等为辅,广泛分布于全国不同地理区域和植被类型中,其中以温带荒漠区域(2..91.)和亚热带常绿阔叶林区域(2..02.)最丰富,其次为温带草原区域(1..1.%)和青藏高原高寒植被区域(1..83%)。数据按照来源可分为原始数据(58%)和数值化数据(42.);按照数据类型可分为原始统计粒数的样点(59%)和以花粉百分比表达的样点(41.)。半个多世纪以来,科研人员开展了大量的表层现代花粉取样和研究。本数据集虽然仅获取部分记录,但样点覆盖了我国绝大多数地区,可有效地用于古植被与古气候重建的现代孢粉与现代植被校验,并将为中国孢粉数据库的建立与更深入的孢粉研究提供数据支撑。

关键词：中国花粉数据库表层花粉现代植被

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