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Characteristics of super drought in Southwest China and the associated compounding effect of multiscalar anomalies

Science China Earth Sciences 2024年第7期67卷 2084-2102页

作者： Lin WANG Wen CHEN Gang HAUNG Ting WANG Qiulin WANG Xiaoyun SU Zixuan REN Chakrit CHOTAMONSAK Atsamon LIMSAKUL Kritanai TORSRI CAS Key Laboratory of Regional Climate-Environment for Temperate East asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province Chengdu 610072China Department of Atmospheric Science Yunnan UniversityKunming 650500China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Carbon Neutrality Research Center Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Hangzhou Meteorological Bureau Hangzhou 310051China Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Geography Faculty of Social SciencesChiang Mai UniversityChiang Mai 50200Thailand Environmental Science Research Center Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Climate Change and Environmental Research Center TechnopolisKlong 5Klong LuangPathumthani 12120Thailand Hydro-Informatics Innovation Division Hydro-Informatics InstituteMinistry of Higher EducationScienceResearch and InnovationBangkok 10900Thailand

In recent decades,Southwest China(SWC)has suffered from frequent super droughts,leading to severe economic losses and ecological *** study investigates the characteristics of super droughts in SWC during 1961-2022,reveals the compounding effect of multiscalar anomalies,and explores the plausible atmospheric circulation mechanisms *** nature of super drought is a compound drought caused by the superposition of extreme drought events across multiple time *** contrasting the typical drought cases in 2006 and 2022,the decisive role of multiscalar drought compounding is *** on the Comprehensive Multiscalar Index(CMI),multiple super drought events in SWC were identified to be temporally clustered during *** them,the decadal background of enhanced evaporation and precipitation deficit at long time scales is a necessary condition for shaping the overall pattern of super droughts,while the precipitation and evaporation anomalies at short time scales trigger the outbreak of super droughts,determining the exact timing of *** events include August-September 2006,November 2009 to May 2010,July-October 2011,April-May 2012,January-April 2013,*** results suggest that the contribution of superposed precipitation anomalies to super drought is 2.4 times that of *** regards the circulation mechanisms affecting multiscalar precipitation,the anomalous spatial patterns at short-term and long-term scales are similar,featuring the cyclonic circulation over the South China Sea and the northeasterly wind anomalies together with the subsidence center over *** 2006-2014,the possible causes for the cross-seasonal persistent precipitation reduction in SWC are the extreme negative phase of the Pacific Decadal Oscillation(PDO)in the North Pacific as well as the pronounced warming of the warm pool in the western *** key dynamic processes are outlined as *** the one hand,the negative PDO p

关键词： Super drought Multiscalar Compounding effect Mechanism analysis Southwest China

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Antelope adaptations to counteract overheating and water deficit in arid environments

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Journal of Arid Land 2022年第10期14卷 1069-1085页

作者： David BLANK LI Yaoming Research Center for Ecology and Environment of central asia BishkekKyrgyzstan State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

Many arid areas have very severe climates with extremely high summer temperatures,strong solar radiation,and a lack of drinking water during the driest ***,antelopes living in arid areas are forced to solve two main problems:avoiding overheating and maintaining water ***,there are physiological,morphological,and behavioral mechanisms for antelope adaptations to arid *** the mechanisms,behavioral adjustments have a minimal cost and are activated first,while physiological mechanisms are the most energetically costly and involve adaptations to high temperatures when other mechanisms are *** previous publications,some examples of the antelope behavioral adaptations have been described only rarely,while in this review,we try to clarify all available information on the adaptations of antelopes living in arid areas to their native environments,paying particular attention to behavioral *** mechanisms,especially daily activity,diet and microclimate selection,and migrations,are so important and commonly used by antelopes in natural conditions,in which physiological mechanisms are usually not *** adjust their behaviors according to environmental changes so successfully that purely physiological mechanisms are discovered under laboratory conditions;for example,adaptive heterothermia or selective brain cooling phenomenon is difficult to observe in their natural *** review provides a better understanding of the main behavioral mechanisms of antelope adaptations to arid environments and allows for the identification of the key factors for successful conservation of antelopes in their natural habitats.

关键词： antelopes desert antelopes behavioral mechanisms drinking water water loss behaviors arid environments

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Temporal and spatial evolution of global major grain trade patterns

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Journal of Integrative Agriculture 2024年第3期23卷 1075-1086页

作者： Ziqi Yin Jiaxuan Hu Jing Zhang Xiangyang Zhou Lingling Li Jianzhai Wu Agricultural Information institute Chinese Academy of Agricultural SciencesBeijing 100081China institute of Scientific and Technical Information of China Beijing 100038China Zibo Agricultural Science Research institute Zibo 255000China Zibo institute for Digital Agriculture and Rural Research Zibo 255000China

The complex and volatile international landscape has significantly impacted global grain supply security. This study uses a complex network analysis model to examine the evolution and trends of the global major grain trade from 1990 to 2020, focusing on network topology, centrality ranking, and community structure. There are three major findings. First, the global major grain trade network has expanded in scale, with a growing emphasis on diversification and balance. During the study period, the United States, Canada, China, and Brazil were the core nodes of the network. Grain-exporting countries were mainly situated in asia, the Americas, and Europe, and importing countries in asia, Africa, and Europe. Second, a significant increase in the number of high centrality countries with high export capacity occurred, benefiting from natural advantages such as fertile land and favorable climates. Third, the main global grain trade network is divided into four communities, with the Americas-Europe community being the largest and most widespread. The formation of the community pattern was influenced by geographic proximity, driven by the core exporting countries. Therefore, the world needs to enhance the existing trade model, promote the multi-polarization of the grain trade network, and establish a global vision for the future community. Countries and regions should participate actively in global grain trade security governance and institutional reform, expand trade links with other countries, and optimize import and export policies to reduce trade risks.

关键词： grain trade pattern evolution complex network

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Spatiotemporal characteristics and influencing factors of ecosystem services in central asia

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干旱区科学:英文版 2023年第1期15卷 1-19页

作者： YAN Xue LI Lanhai State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Ili Station for Watershed Ecosystem Research Chinese Academy of SciencesXinyuan 835800China CAS Research Centre for Ecology and Environment of central asia Urumqi 830011China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

Land use/land cover(LULC)change and climate change are two major factors affecting the provision of ecosystem services which are closely related to human ***,a clear understanding of the relationships between these two factors and ecosystem services in central asia is still *** study aimed to comprehensively assess ecosystem services in central asia and analyze how they are impacted by changes in LULC and *** spatiotemporal patterns of three ecosystem services during the period of 2000-2015,namely the net primary productivity(NPP),water yield,and soil retention,were quantified and mapped by the Carnegie-Ames-Stanford Approach(CASA)model,Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model,and Revised Universal Soil Loss Equation(RUSLE).Scenarios were used to determine the relative importance and combined effect of LULC change and climate change on ecosystem ***,the relationships between climate factors(precipitation and temperature)and ecosystem services,as well as between LULC change and ecosystem services,were further *** results showed that the high values of ecosystem services appeared in the southeast of central *** the six biomes(alpine forest region(AFR),alpine meadow region(AMR),typical steppe region(TSR),desert steppe region(DSR),desert region(DR),and lake region(LR)),the values of ecosystem services followed the order of AFR>AMR>TSR>DSR>DR>*** addition,the values of ecosystem services fluctuated during the period of 2000-2015,with the most significant decreases observed in the southeast mountainous area and northwest of central *** change had a greater impact on the NPP,while climate change had a stronger influence on the water yield and soil *** combined LULC change and climate change exhibited a significant synergistic effect on ecosystem services in most of central ***,ecosystem services were more strongly and positively correlated with precipitation

关键词： ecosystem services land use/land cover change climate change net primary productivity water yield soil retention central asia

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Genetic analyses of ancient tea trees provide insights into the breeding history and dissemination of Chinese Assam tea(Camellia sinensis ***)

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Plant Diversity 2024年第2期46卷 229-237页

作者： Miao-Miao Li Muditha K.Meegahakumbura Moses C.Wambulwa Kevin S.Burgess Michael Möller Zong-Fang Shen De-Zhu Li Lian-Ming Gao CAS Key Laboratory for Plant Diversity and Biogeography of East asia Kunming Institute of BotanyChinese Academy of ScienceKunming650201China Germplasm Bank of Wild Species Kunming Institute of BotanyChinese Academy of ScienceKunming650201China Kunming College of Life Science University of Chinese Academy of SciencesKunming650201YunnanChina Department of Export Agriculture Faculty of Animal Science and Export AgricultureUva Wellassa UniversityBadulla90000Sri Lanka Department of Life Sciences School of Science and ComputingSouth Eastern Kenya University170-90200KituiKenya Department of Biology Columbus State UniversityUniversity System of GeorgiaColumbusGA31907-5645USA Royal Botanic Garden Edinburgh 20A Inverleith RowEdinburghEH35LRScotlandUK Lijiang Forest Biodiversity National Observation and Research Station Kunming Institute of BotanyChinese Academy of SciencesLijiang674100YunnanChina

Chinese Assam tea(Camellia sinensis ***)is an important tea crop with a long history of cultivation in Yunnan,*** its potential value as a genetic resource,its genetic diversity and domestication/breeding history remain *** address this issue,we genotyped 469 ancient tea plant trees representing 26 *** *** populations,plus two of its wild relatives(six and three populations of *** and ***,respectively)using 16 nuclear microsatellite *** showed that Chinese Assam tea has a relatively high,but comparatively lower gene diversity(H_(S)=0.638)than the wild relative ***(H_S=0.658).Clustering in STRUCTURE indicated that Chinese Assam tea and its two wild relatives formed distinct genetic groups,with considerable interspecific *** Chinese Assam tea accessions clustered into three gene pools,corresponding well with their geographic ***,New Hybrids analysis indicated that 68.48%of ancient Chinese Assam tea plants from Xishuangbanna were genetic intermediates between the Puer and Lincang gene *** addition,10%of the ancient Chinese Assam tea individuals were found to be hybrids between Chinese Assam tea and *** results suggest that Chinese Assam tea was domesticated separately in three gene pools(Puer,Lincang and Xishuangbanna)in the Mekong River valley and that the hybrids were subsequently selected during the domestication *** the domestication history of Chinese Assam tea in southwestern Yunnan remains complex,our results will help to identify valuable genetic resources that may be useful in future tea breeding programs.

关键词： Tea plant Hybrid origin Genetic diversity Domestication history Camellia sinensis var.assamica Camellia taliensis

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Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1455-1486页

作者： Kolli Ramujee Pooja Sadula Golla Madhu Sandeep Kautish Abdulaziz S.Almazyad Guojiang Xiong Ali Wagdy Mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer Science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrinkage properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural networks(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k for k-fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework,facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

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Plastid phylogenomics provides new insights into the systematics,diversification,and biogeography of Cymbidium(Orchidaceae)

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Plant Diversity 2024年第4期46卷 448-461页

作者： Hai-Yao Chen Zhi-Rong Zhang Xin Yao Ji-Dong Ya Xiao-Hua Jin Lin Wang Lu Lu De-Zhu Li Jun-Bo Yang Wen-Bin Yu Center for Integrative Conservation&Yunnan Key Laboratory for the Conservation of Tropical Rainforests and asian Elephants Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaYunnan 666303China University of Chinese Academy of Sciences Huairou DistrictBeijing 101408China Plant Germplasm and Genomics Center Germplasm Bank of Wild SpeciesKunming Institute of BotanyChinese Academy of SciencesKunmingYunnan 650201China State Key Laboratory of Plant Diversity and Specility Crops Institute of BotanyChinese Academy of SciencesHaidian DistrictBeijing 100093China School of Pharmaceutical Sciences Yunnan Key Laboratory of Pharmacology for Natural Productsand Yunnan College of Modern Biomedical IndustryKunming Medical UniversityKunmingYunnan 650500China Southeast asia Biodiversity Research institute Chinese Academy of SciencesYezinNay Pyi Taw 05282Myanmar

Cymbidium(Orchidaceae:Epidendroideae),with around 60 species,is widely-distributed across Southeast asia,providing a nice system for studying the processes that underlie patterns of biodiversity in the ***,phylogenetic relationships of Cymbidium have not been well resolved,hampering investigations of species diversification and the biogeographical history of this *** this study,we construct a plastome phylogeny of 56 Cymbidium species,with four well-resolved major clades,which provides a framework for biogeographical and diversification rate *** dating and biogeographical analyses show that Cymbidium likely originated in the region spanning northern IndoBurma to the eastern Himalayas during the early Miocene(~21.10 Ma).It then rapidly diversified into four major clades in East asia within approximately a million years during the middle *** *** to the adjacent regions(Borneo,Philippines,and Sulawesi)primarily occurred during the Pliocene-Pleistocene *** analyses indicate that the net diversification rate of Cymbidium has decreased since its origin,and is positively associated with changes in temperature and monsoon *** hydrothermal conditions brought by monsoon intensification in the early Miocene possibly contributed to the initial rapid diversification,after which the net diversification rate was reduced with the cooling climate after the middle *** transition from epiphytic to terrestrial habits may have enabled adaptation to cooler environments and colonization of northern niches,yet without a significant effect on diversification *** study provides new insights into how monsoon activity and temperature changes affected the diversification dynamics of plants in Southeast asia.

关键词： Cymbidium East asia asian monsoons Climate change Biogeographical patterns

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Microbiome and metabolome dysbiosis analysis in impaired glucose tolerance for the prediction of progression to diabetes mellitus

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Journal of Genetics and Genomics 2024年第1期51卷 75-86页

作者： Boxun Zhang Xuan Zhang Zhen Luo Jixiang Ren Xiaotong Yu Haiyan Zhao Yitian Wang Wenhui Zhang Weiwei Tian Xiuxiu Wei Qiyou Ding Haoyu Yang Zishan Jin Xiaolin Tong Jun Wang Linhua Zhao institute of Metabolic Diseases Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Faculty of Biological Science and Technology Baotou Teacher's CollegeBaotouInner Mongolia 014030China CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Infinitus(China)Company Ltd GuangzhouGuangdong 510405China Affiliated Hospital of Changchun University of Chinese Medicine ChangchunJilin 130021China Department of Endocrinology Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Xinjiekou Community Health Service Center in Xicheng District Beijing 100035China Department of Spleen and Stomach Shenzhen Traditional Chinese Medicine HospitalShenzhenGuangdong 518033China University of Chinese Academy of Sciences Beijing 100049China Beijing University of Chinese Medicine Beijing 100105China Northeast asia institute of Traditional Chinese Medicine Changchun University of Chinese MedicineChangchunJilin 130117China

Gut microbiota and circulating metabolite dysbiosis predate important pathological changes in glucose metabolic disorders;however,comprehensive studies on impaired glucose tolerance(IGT),a diabetes mellitus(DM)precursor,are ***,we perform metagenomic sequencing and metabolomics on 47 pairs of individuals with IGT and newly diagnosed DM and 46 controls with normal glucose tolerance(NGT);patients with IGT are followed up after 4 years for progression to *** of baseline data reveals significant differences in gut microbiota and serum metabolites among the IGT,DM,and NGT *** addition,13 types of gut microbiota and 17 types of circulating metabolites showed significant differences at baseline before IGT progressed to DM,including higher levels of Eggerthella unclassified,Coprobacillus unclassified,Clostridium ramosum,L-valine,L-norleucine,and L-isoleucine,and lower levels of Eubacterium eligens,Bacteroides faecis,Lachnospiraceae bacterium 3_1_46FAA,Alistipes senegalensis,Megaspaera elsdenii,Clostridium perfringens,α-linolenic acid,10E,12Z-octadecadienoic acid,and dodecanoic acid.A random forest model based on differential intestinal microbiota and circulating metabolites can predict the progression from IGT to DM(AUC=0.87).These results suggest that microbiome and metabolome dysbiosis occur in individuals with IGT and have important predictive values and potential for intervention in preventing IGT from progressing to DM.

关键词： Impaired glucose tolerance Diabetes mellitus Gut microbiota Metabolomics

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Spatial-temporal distribution and geochemistry of highly evolved Mesozoic granites in Great Xing’an Range,NE China:Discriminant criteria and geological significance

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Global Geology 2024年第1期27卷 20-34页

作者： WU Haoran YANG Hao GE Wenchun JI Zheng DONG Yu JING Yan JING Jiahao College of Earth Sciences Jilin UniversityChangchun 130061China State Key Laboratory of Lithospheric Evolution Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Mineral Resources Evaluation in Northeast asia Ministry of Natural Resources of ChinaChangchun 130061China

Highly evolved granite is an important sign of the mature continent crust and closely associated with deposits of rare *** this work,the authors undertake systematically zircon U-Pb ages and whole rock elemental data for highly evolved granitic intrusions from the Great Xing’an Range(GXR),NE China,to elucidate their discriminant criteria,spatial-temporal distribution,differentiation and geodynamic *** data of these highly evolved granites suggest that high w(SiO_(2))(>70%)and differentiation index(DI>88)could be quantified indicators,while strong Eu depletion,high TE_(1,3),lowΣREE and low Zr/Hf,Nb/Ta,K/Rb could only be qualitative *** U-Pb ages suggest that the highly evolved gran-ites in the GXR were mainly formed in Late Mesozoic,which can be divided into two major stages:Late Ju-rassic-early Early Cretaceous(162-136 Ma,peak at 138 Ma),and late Early Cretaceous(136-106 Ma,peak at 126 Ma).The highly evolved granites are mainly distributed in the central-southern GXR,and display a weakly trend of getting younger from northwest to southeast,meanwhile indicating the metallogenic potential of rare metals within the central *** spatial-temporal distribution,combined with regional geological data,indicates the highly evolved Mesozoic granites in the GXR were emplaced in an extensional environ-ment,of which the Late Jurassic-early Early Cretaceous extension was related to the closure of the Mongol-Okhotsk Ocean and roll-back of the Paleo-Pacific Plate,while the late Early Cretaceous extension was mainly related to the roll-back of the Paleo-Pacific Plate.

关键词： highly evolved granite Great Xing’an Range spatial-temporal distribution extensional environment

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Machine learning-based prediction of sand and dust storm sources in arid central asia

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International Journal of Digital Earth 2023年第1期16卷 1530-1550页

作者： Wei Wang Alim Samat Jilili Abuduwaili Philippe De Maeyer Tim Van de Voorde State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqiPeople’s Republic of China Research Centre for Ecology and Environment of central asia Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqiPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China Department of Geography Ghent UniversityGhentBelgium Sino-Belgian Joint Laboratory of Geo-Information GhentBelgium Sino-Belgian Joint Laboratory of Geo-Information UrumqiPeople’s Republic of China

With the emergence of multisource data and the development of cloud computing platforms,accurate prediction of event-scale dust source regions based on machine learning(ML)methods should be considered,especially accounting for the temporal variability in sample and predictor *** central asia(ACA)is recognized as one of the world’s primary potential sand and dust storm(SDS)*** this study,based on the Google Earth Engine(GEE)platform,four ML methods were used for SDS source prediction in *** meteorological and terrestrial factors were selected as influencing factors controlling SDS source susceptibility and applied in the modeling ***,the results revealed that the random forest(RF)algorithm performed best,followed by the gradient boosting tree(GBT),maximum entropy(MaxEnt)model and support vector machine(SVM).The Gini impurity index results of the RF model indicated that the wind speed played the most important role in SDS source prediction,followed by the normalized difference vegetation index(NDVI).This study could facilitate the development of programs to reduce SDS risks in arid and semiarid regions,particularly in ACA.

关键词： Susceptibility mapping event scale google earth engine(GEE) remote sensing

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