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三江源国家公园NPP长时序时空变化多模型集成分析

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地理学报 2024年第9期79卷 2356-2371页

作者：刘畅任小丽张黎王军邦赵亮何洪林徐茜张梦宇曾纳高超中国科学院地理科学与资源研究所中国科学院生态系统网络观测与模拟重点实验室北京100101 国家生态科学数据中心北京100101 中国地质大学(武汉)地理与信息工程学院武汉430074 中国科学院大学资源与环境学院北京100190 中国科学院西北高原生物研究所西宁810001 中国科学院大学北京100049 浙江农林大学环境与资源学院杭州311300

三江源国家公园位于青藏高原腹地,拥有独特气候和丰富物种基因,在生态系统中具有特殊地位。然而,气候变化和人类活动的影响使其面临生态挑战。准确监测三江源国家公园植被净初级生产力(NPP)的时空变化对于促进生态环境的保护和改善至关... 详细信息

三江源国家公园位于青藏高原腹地,拥有独特气候和丰富物种基因,在生态系统中具有特殊地位。然而,气候变化和人类活动的影响使其面临生态挑战。准确监测三江源国家公园植被净初级生产力(NPP)的时空变化对于促进生态环境的保护和改善至关重要。模型模拟是陆地生态系统研究的重要方法,但模拟结果存在不确定性。多模型集成技术能够综合不同模型的优点,提高NPP模拟的准确性,为研究NPP长时序变化提供思路,同时为环境治理提供科学支持。本文应用多模型集成分析方法,结合4种生态系统过程模型CLM、DALEC、CEVSA和GLOPEM-CEVSA,分析三江源国家公园2.00—2.18年NPP的时空变化,并探讨气候因子对NPP变化的影响。结果表明:①2.00—2.18年三江源国家公园年均NPP为2.1.17 g C m^(-2.a^(-1),澜沧江源园区最大(2.7.2. g C m^(-2.a^(-1)),长江源园区最小(12..88 g C m^(-2.a^(-1)),黄河源园区居中(198.81 g C m^(-2.a^(-1)),NPP呈现自东南向西北递减的空间分布。②2.00—2.18年三江源平均NPP为2.2.00~2.8.02.g C m^(-2.a^(-1),年际变化呈显著增加趋势,增速为9.8 g C m^(-2.10a^(-1)。③气候因子对三江源NPP的影响存在区域差异性,长江源园区和黄河源园区主要受到气温和辐射的影响,澜沧江源园区还受降水的显著影响。本文研究结果将为三江源国家公园生态保护成效评估和科学管理提供技术支撑与决策依据。

关键词：植被净初级生产力多模型集成三江源国家公园时空变化

Emerging contaminants:A One health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian Ehelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott Xchang Guanyong Su Bryan MWong Tzung-May Fu dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun wang Yuhao Fu Zhong Wei Rainer Lohmann changer Chen Yang Song Concepcion Sanchez-Cid Yu wang Ali El-Naggar Yiming Yao Yanran huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong zhang Natàlia Corcoll Min liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos huan he Yi Yang Meiping Tong Weina zhang Fidèle Suanon Ferdi Brahushi Zhenyu wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China university of Chinese Academy of sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical university of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

香鳞毛蕨dfr-miR160a和靶基因DfARF10的生物信息学及表达模式分析

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植物学报 2024年第1期59卷 22-33页

作者：仲昭暄张冬瑞李璐苏颖王黛宁王泽冉刘洋常缨东北农业大学生命科学学院哈尔滨150036 北京师范大学南山附属学校深圳518000

为深入探究miRNA参与调控香鳞毛蕨(Dryopteris fragrans)生长发育的分子机理,依据实验室前期建立的miRNA数据库,筛选出与非生物胁迫相关的差异表达dfr-miR160a前体(dfr-pri-mir160a),预测其靶基因为DfARF10,并通过本氏烟草(Nicotiana be... 详细信息

为深入探究miRNA参与调控香鳞毛蕨(Dryopteris fragrans)生长发育的分子机理,依据实验室前期建立的miRNA数据库,筛选出与非生物胁迫相关的差异表达dfr-miR160a前体(dfr-pri-mir160a),预测其靶基因为DfARF10,并通过本氏烟草(Nicotiana benthamiana)瞬时共转化GUS以及双荧光素酶(LUC)系统验证dfr-miR160a和DfARF10的靶向关系。结果显示,共注射dfr-pri-mir160a和DfARF10的本氏烟草叶片中GUS活性和LUC活性明显降低;qRT-PCR分析显示,dfr-miR160a及其靶基因DfARF10在香鳞毛蕨的根、配子体、叶柄、叶片和孢子囊中均有表达,在叶片中表达量最高,在根中表达量最低;通过qRT-PCR分析干旱、盐(NaCl)、高温和低温胁迫对dfr-miR160a及其靶基因DfARF10表达的影响。结果表明,在干旱和高温处理下, dfr-miR160a的表达均上调,但在NaCl处理下, dfr-miR160a的表达下调;低温处理下, dfr-miR160a的表达在0–1小时下调,在3–48小时上调。在NaCl、高温以及低温处理下DfARF10表达均上调;但在干旱处理下, DfARF10表达下调,与dfr-miR160a呈现相反的表达趋势。综上, dfr-miR160a靶向DfARF10基因且二者均能响应非生物胁迫。研究结果为从分子层面揭示香鳞毛蕨非生物胁迫抗性机制提供了新的科学依据。

关键词：香鳞毛蕨 dfr-miR160a DfARF10 非生物胁迫

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载人月球探测科学研究发展概述与趋势分析

同济大学学报（自然科学版） 2024年第8期52卷 1188-1198页

作者：张鹏代巍白一帆张光牛冉刘成保王之郑海菠杨瀚哲刘光辉刘欣童小华中国科学院空间应用工程与技术中心北京100094 同济大学测绘与地理信息学院上海200092 同济大学上海市航天测绘遥感与空间探测重点实验室上海200092

月球是具有重要科学价值与战略价值的自然天体,开展载人月球探测,实现中国人首次登陆地外天体,将成为航天强国建设的重要标志。在载人月球探测过程中,可利用月球特殊条件及资源,开展有人参与的科学研究活动,获取月球科学、月基科学和月... 详细信息

月球是具有重要科学价值与战略价值的自然天体,开展载人月球探测,实现中国人首次登陆地外天体,将成为航天强国建设的重要标志。在载人月球探测过程中,可利用月球特殊条件及资源,开展有人参与的科学研究活动,获取月球科学、月基科学和月球资源利用等方面的研究成果。首先回顾了阿波罗计划、阿尔忒弥斯计划、嫦娥工程等月球探测任务,针对其中的科学研究任务实施情况及关键成果进行了总结,并分析了后续载人月球科学任务发展趋势。在此基础上,对人类在开展未来载人月球探测任务过程中重点部署的方向提出了建议,涉及月球样品采集、月球科学探测,以及月球原位资源利用等方面。对载人月球探测科学研究发展趋势的分析及建议,可为未来载人登月相关论证设计提供参考。

关键词：载人月球探测科学研究与应用月球样品采集月球科学探测原位资源利用

Evaluation of multidecadal and longer-term temperature changes since 850 CE based on Northern hemisphere proxy-based reconstructions and model simulations

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science china Earth sciences 2020年第8期63卷 1126-1143页

作者： Jianglin wang Bao YANG Jingyun ZheNG Xuezhen zhang Zhiyuan wang Miao FANG Feng shi Jingjing liu Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China CAS Center for Excellence in Tibetan Plateau Earth sciences Chinese Academy of SciencesBeijing 100101China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100049China college of Geography and Environmental science Zhejiang Normal UniversityJinhua 321004China Northwest Institute of Eco-Environment and Resource Chinese Academy of SciencesLanzhou 730000China Key Laboratory of Cenozoic Geology and Environment Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China CAS Center for Excellence in Life and Paleoenvironment Beijing 100044China

The temperature variability over multidecadal and longer timescales(e.g., the cold epochs in the late 15 th, 17 th, and early 19 th centuries) is significant and dominant in the millennium-long, large-scale reconstructions and model simulations;however, their temporal patterns in the reconstructed and simulated temperature series are not well understood and require a detailed assessment and comparison. here, we compare the reconstructed and simulated temperature series for the Northern hemisphere(NH) at multidecadal and longer-term timescales(>30 years) by evaluating their covariance, climate sensitivity and amplitude of temperature changes. We found that covariances between different reconstructions or between reconstructions and simulations are generally high for the whole period of 850–1999 CE, due to their similar long-term temporal patterns. However,covariances between different reconstructions or between reconstructions and simulations steadily decline as time series extends further back in time, becoming particularly small during Medieval times. This is related to the large uncetainties in the reconstructions caused by the decreased number of proxy records and sample duplication during the pre-instrumental *** based solely on tree-ring data show higher skill than multiproxy reconstructions in capturing the amplitude of volcanic cooling simulated by models. Meanwhile, climate models have a shorter recovery(i.e., lag) in response to the cooling caused by volcanic eruptions and solar activity minima, implying the lack of some important feedback mechanisms between external forcing and internal climate processes in climate models. Amplitudes of temperature variations in the latest published tree-ring reconstructions are comparable to those of the multiproxy reconstructions. We found that the temperature difference between the Medieval Climate Anomaly(950–12.0 CE) and the Little Ice Age(1450–1850 CE) is generally larger in proxybased reconstruct

关键词： Temperature changes Multidecadal and longer-term variability Northern hemisphere Last millennium

Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.chang W.L.chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.J.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen Z.J.Chen Z.Y.Chen S.K.Choi X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.Ding X.X.Ding Y.Ding Y.Ding J.{2. L.Y.{2. M.Y.{2. X.{2. M.C.Du S.X.Du Z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.L.Guan A.Q.Guo L.B.Guo M.J.Guo R.P.Guo Y.P.Guo A.Guskov J.Gutierrez K.L.Han T.T.Han X.Q.Hao F.A.Harris K.K.he K.L.he F.H.heinsius C.H.heinz Y.K.heng C.herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou Z.L.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.S.huang K.X.huang L.Q.huang X.T.huang Y.P.huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson S.Janchiv J.H.Jeong Q.Ji Q.P.Ji W.Ji X.B.Ji X.L.Ji Y.Y.Ji X.Q.Jia Z.K.Jia D.Jiang H.B.Jiang P.C.Jiang S.S.Jiang T.J.Jiang X.S.Jiang Y.Jiang J.B.Jiao J.K.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing X.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn J.J.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.B.Li H.J.Li H.N.Li Hui Li J.R.Li J.S.Li K.Li L.J.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang university Beijing 100191China Bochum Ruhr-university D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon university PittsburghPennsylvania 15213USA Central china normal {2. Wuhan 430079China Central South university Changsha 410083China china Center of Advanced science and Technology Beijing 100190China china university of Geo{2.s Wuhan 430074China Chung-Ang university Seoul06974Republic of Korea COMSATS university Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan university Shanghai 200433China GSI helmholtzcentre for heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi normal university Guilin 541004China Guangxi university Nanning 530004China Hangzhou normal university Hangzhou 310036China hebei university Baoding 071002China helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany henan normal university Xinxiang 453007China henan university Kaifeng 475004China henan university of science and Technology Luoyang 471003China henan university of Technology Zhengzhou 450001China huangshan college Huangshan 245000China Hunan normal university Changsha 410081China Hunan university Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana university BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia university Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(12.0)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2.ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2.1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.02._(stat.)±0.02._(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

An improved hybrid bream derived from a hybrid lineage of Megalobrama amblycephala(♀)×Culter alburnus(♂)

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science china(Life sciences) 2022年第6期65卷 1213-1221页

作者： Dingbin Gong Min Tao Lihui Xu Fangzhou Hu Zehong Wei shi wang Yude wang Qingfeng liu chang Wu Kaikun Luo Chenchen Tang Rong Zhou Chun zhang Yuequn wang Shaojun liu State Key Laboratory of Developmental Biology of Freshwater Fish Hunan Normal UniversityChangsha 410081China college of Life sciences Hunan Normal UniversityChangsha 410081China

Distant hybridization is an important technique in fish genetic *** this study,based on the establishment of an allodiploid fish lineage(BT,2.=48,F_(1)–F_(6))derived from distant hybridization between female Megalobrama amblycephala(BSB,2.=48)and male Culter alburnus(TC,2.=48),and the backcross progeny(BTB,2.=48)derived by backcrossing female F_(1) of BT to male BSB,an improved hybrid bream(BTBB,2.=48)was obtained by backcrossing BTB(♀)to BSB(♂).Moreover,the morphological and genetic characteristics of BTBB individuals were investigated;BTBB was similar to BSB in appearance but had a higher body height than *** study results regarding chromosome numbers and DNA content indicated that BTBB is a diploid hybrid *** 5S rDNA and Hox gene of BTBB were inherited from the original *** development in BTBB was *** the other hand,BTBB had a faster growth rate,higher muscle protein level,and lower muscle carbohydrate level than ***,bisexual fertile BTBB is promoted and can be applied as a high-quality fish,and it can also be used as a new fish germplasm resource to develop high-quality fish ***,this study is of great significance for fish genetic breeding.

关键词： distant hybridization Megalobrama amblycephala backcrossing improved germplasm resources

Effect of Microstructures and Textures on Different Surfaces on Corrosion Behavior of an as-Extruded ATZ411 Magnesium Alloy Sheet

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Acta Metallurgica Sinica(English Letters) 2021年第8期34卷 1029-1041页

作者： Shuai zhang Bao-{2. liu Mei-Xuan Li Hui-Yuan wang Yin-Long Ma Key Laboratory of Drilling and Exploitation Technology in Complex Conditions of Ministry of Land and resources College of Construction EngineeringJilin UniversityNo.938 Ximinzhu StreetChangchun 130026China Key Laboratory of Automobile Materials of Ministry of Education School of Materials Science and EngineeringJilin UniversityNanling CampusNo.5988 Renmin StreetChangchun 130025China

The effect of textures on different surfaces of an as-extruded Mg-4 Al-1 Sn-1 Zn(ATZ411) alloy sheet on its corrosion behavior was systematically investigated. The microstructure was examined by optical/scanning electron microscopy. The texture was characterized by X-ray diffraction and electron backscatter diffraction. The corrosion performance was evaluated by immersion tests, electrochemical measurements, and corrosion morphology observation. The results showed that there were obvious differences in the corrosion morphology and corrosion resistance on different surfaces. The surface perpendicular to extrusion direction had better corrosion resistance and more uniform corrosion damage than that perpendicular to the normal direction and that perpendicular to the transverse direction in 3.5 wt% NaCl solution. The corrosion morphology was mainly determined by the distribution of the second phase and fine-grained regions. The corrosion rate was more related to the overall texture.

关键词： Corrosion behavior Micro-galvanic Magnesium alloys Texture Extrusion

Significant loss of soil inorganic carbon at the continental scale

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National science Review 2022年第2期9卷 13-20页

作者： Xiao-dong Song Fei Yang hua-Yong Wu Jing {2. De-Cheng Li Feng liu Yu-Guo Zhao Jin-Ling Yang bing Ju Chong-Fa Cai Biao huang huai-Yu Long Ying Lu Yue-Yu Sui Qiu-bing wang Ke-Ning Wu Feng-Rong {2. Ming-Kui {2. Zhou shi Wan-Zhu Ma Gang Xin Zhi-Ping Qi Qing-Rui {12. En Ci Da-Gang Yuan Yang-Zhu {2. Jun-Ping Bai Jia-Ying Chen Jie Chen Yin-Jun Chen Yun-Zhong dong Chun-Lan Han Ling Li Li-Ming liu Jian-Jun Pan Fu-Peng Song Fu-Jun Sun Deng-Feng wang Tian-Wei wang Xiang-hua Wei Hong-Qi Wu Xia Zhao Qing Zhou Gan-Lin {2. State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences college of Advanced Agricultural sciences University of Chinese Academy of Sciences college of resources and Environment Huazhong Agricultural University Institute of Agricultural resources and Regional Planning Chinese Academy of Agricultural Sciences college of Natural resources and Environment South China Agricultural University Northeast Institute of Geography and Agroecology Chinese Academy of Sciences college of Land and Environment Shenyang Agricultural University School of Land science and Technology China University of Geosciences college of Land science and Technology China Agricultural University college of Environmental and Resource sciences Zhejiang University Institute of Digital Agriculture Zhejiang Academy of Agricultural Sciences college of Agriculture Heilongjiang Bayi Agricultural University Tropical Crops Genetic resources Institute Chinese Academy of Tropical Agricultural Sciences college of Natural resources and Environment Northwest A & F University college of resources and Environment Southwest University college of resources Sichuan Agricultural University college of resources and Environment Hunan Agricultural University Institute of Agricultural Product Quality Standard and Testing Research Tibet Academy of Agricultural and Animal Husbandry Sciences School of Agricultural sciences Zhengzhou University Institute of Agriculture Environment and resources Research Shanxi Academy of Agricultural Sciences college of resources and Environment Henan Agricultural University college of resources and Environment China Agricultural University college of resources and Environmental {2.s Nanjing Agricultural University college of resources and Environment Shandong Agricultural University Agricultural college Guangxi University college of Grassland and Environment science Xinjiang Agricultural University college of Geographical science Qinghai Normal University

Widespread soil acidification due to atmospheric acid deposition and agricultural fertilization may greatly accelerate soil carbonate dissolution and ***,to date,few studies have addressed these ***,we use meta-analysis and nationwide-survey datasets to investigate changes in soil inorganic carbon(SIC) stocks in *** observe an overall decrease in SIC stocks in topsoil(0-30 cm)(11.33 g C m-2.r-1) from the 1980 s to the 2.10 *** SIC stocks have decreased by～8.99±2.2.%(1.37±0.37 Pg C).The average SIC losses across{2.(0.046 Pg C yr-1) and in cropland(0.016 Pg C yr-1) account for～17.6%-2..0% of the terrestrial C sink and 57.1% of the soil organic carbon sink in cropland,*** deposition and climate change have profound influences on SIC *** estimate that～19.12.-19.47% of SIC stocks will be further lost by *** consumption of SIC may offset a large portion of global efforts aimed at ecosystem carbon sequestration,which emphasizes the importance of achieving a better understanding of the indirect coupling mechanisms of nitrogen and carbon cycling and of effective countermeasures to minimize SIC loss.

关键词： china soil inorganic carbon stocks global change carbonate soil acidification