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Linking the past and present to predict the distribution of Asian crested ibis(Nipponia nippon)under global changes

Integrative Zoology 2022年第6期17卷 1095-1105页

作者： Fangyuan YU Yiwen SUN Tiejun wang Andrew KSKIDMORE Changqing DING Xinping YE School of Geographical sciences and Remote Sensing Guangzhou UniversityGuangzhouChina Department of Natural resources Faculty of Geo-Information Science and Earth ObservationUniversity of TwenteEnschedeThe Netherlands Department of Environmental Science New South WalesMacquarie UniversityMacquarieAustralia College of Nature Conservation Beijing Forestry UniversityBeijingChina College of Life sciences Shaanxi Normal UniversityXi’anChina

Understanding how species’ecological niches adapt to environmental changes through time is critical for predicting the effect of future global change on endangered *** few studies have incorporated knowledge of past niche shifting into the assessment of species’future fate in a changing *** this study,we integrated the ecological niche dynamics into the species distribution modeling of the Asian crested ibis(Nipponia nippon)in East ***ﬁcally,we compared historical and present ecological niches of crested ibis in four-dimensional environmental space based on species occurrence and environmental *** then employed a multi-temporal ecological niche model to estimate the potential geographical distribution of crested ibis under future climate and land-use *** results show that crested ibis retained similar though not identical ecological niches over *** to the historical baseline range,the current suitable habitat for crested ibis has been reduced by 39.6%.The effects of human activity outweigh those of climate change regarding the distribution of crested *** conclude that the ecological niche of crested ibis was tended to be conservative,and future potentially suitable habitat may encounter northeastward and northwestward shift,and possibly expand by 18.7%referred to the historical ***ﬁndings of our study are of clear importance for the conservation and successful reintroduction of crested ibis in East Asia.

关键词： biogeography climate change ecological niche land-use change niche conservatism

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U-Pb dating of zircon from the Central Zone of the East Kunlun Orogen and its implications for tectonic evolution

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Science China earth sciences 2008年第7期51卷 929-938页

作者： CHEN NengSong SUN Min wang QinYan ZHANG KeXin WAN YuSheng CHEN HaiHong faculty of earth Science China University of GeosciencesWuhan 430074China Department of earth sciences the University of Hong KongHong Kong SARChina beijing SHRIMP Center Beijing 100037China State Key Laboratory of Geological Processes and mineral resources in China {2. of geosciences Wuhan 430074China

LA-ICP-MS and SHRIMP U-Pb dating of zircons from orthogneisses and amphibolite from the Central Zone of the Kunlun Orogen is reported in this paper. One orthogneiss sample has metamorphic zircons yielding weighted average 2.6Pb/2.8U age of 517.0 +5.0/-6.0 Ma, and the other orthogneiss sample con- tains zircons with inherited magmatic cores giving three population 2.7Pb/2.6Pb ages of 955 Ma, 895 Ma and 657 Ma for the magmatic protolith, and metamorphic recrystallized rims with peak 2.6Pb/2.8U ages of 559 +12.?17 Ma and 516 ± 13 Ma. The amphibolite yielded three populations of weighted average 2.6Pb/2.8U age of 482.0 +10/?8.0 Ma, 516.2.± 5.8 Ma and 549 ± 10 Ma for the metamorphic zircons. These dating results recorded the tectonothermal events that occurred in the early Paleozoic and the Pre- cambrian time. The records of the Cambrian magmatic-metamorphic event in the Qinling Orogen, the Altyn Tagh belt, north margin of the Qaidam Block and the Kunlun Orogen suggest that continental assembly probably occurred in the early evolutionary history of the Proto-Tethys.

关键词： zircon U-Pb dating East Kunlun Orogen Proto-Tethys tectonic evolution

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刚果(金)Manono-Kitotolo含锂-铯-钽伟晶岩地质与矿化特征研究

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中国地质 2024年第2期51卷 443-456页

作者：曾瑞垠祝新友王蓉李庆哲詹勇张雄孙宁李亮谭康雨黄建业昆明理工大学国土资源工程学院云南昆明650093 北京矿产地质研究院有限责任公司北京100012 中色地科矿产勘查股份有限公司北京100012 中国地质大学(北京)地球科学与资源学院北京100083

【研究背景】Manono-Kitotolo伟晶岩位于刚果(金)中元古代Kibaran稀有金属成矿带,属于锂-铯-钽伟晶岩(LCT),主要由含锂辉石伟晶岩(40%~70%)构成。通过野外地质调查发现:伟晶岩在横向上由外至内依次发育有:花岗细晶岩带(Ⅰ)—白云母长石... 详细信息

【研究背景】Manono-Kitotolo伟晶岩位于刚果(金)中元古代Kibaran稀有金属成矿带,属于锂-铯-钽伟晶岩(LCT),主要由含锂辉石伟晶岩(40%~70%)构成。通过野外地质调查发现:伟晶岩在横向上由外至内依次发育有:花岗细晶岩带(Ⅰ)—白云母长石石英带(Ⅱ)—石英钠长石带(Ⅲ)—锂辉石带(Ⅳ)—石英内核(Ⅴ)。【研究方法】通过电子探针(EPMA)法测试,获得伟晶岩中云母、锂辉石、锡石和铌钽铁矿的主量成分,对伟晶岩的分异演化特征、锂矿化、铌钽矿化和锡矿化特征进行了讨论,并对Manono-Kitotolo伟晶岩型稀有金属矿床的成矿作用进行了分析。【研究结果】白云母由外向内Rb、Li和F含量逐渐升高,K/Rb值逐渐降低,锂云母石英带(Ⅴ-1)中产出的锂云母FeO和Rb_(2.O含量相对高于白云母,表明伟晶岩由外向内结晶的分异演化程度较高。【结论】锂矿化主要分布在锂辉石伟晶岩(Ⅳ)中,锂辉石粒度呈巨晶—粗粒—中粒变化,主量成分较稳定,但近地表的氧化淋滤作用与黏土化、云英岩化等蚀变作用造成锂元素发生流失;锡矿化分布于Ⅲ—Ⅳ带中,锡石Nb和Ta含量相对较高,属于稀有金属伟晶岩成因,但粗粒锡石主要形成于云英岩化阶段;铌钽矿化分布于Ⅱ—Ⅳ带中,根据元素含量比值显示其为铌铁矿-钽铁矿-锰钽铁矿系列,随着分异作用的进行,铌钽矿物中的钽和锰的含量增加,铌、铁和钛的含量降低,形成富钽、富锰的铌钽铁矿。

关键词：锂辉石锡石铌钽铁矿白云母云英岩化 Manono-Kitotolo伟晶岩矿产勘查工程刚果(金)

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Geochemistry of Argillaceous Siliceous Rocks from the North Tianshan Accretionary Complex,Wusu Area,NW China,and its Geological Implications

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Acta Geologica Sinica(English Edition) 2021年第2期95卷 705-707页

作者： wang Meng ZHANG Bo CHEN Youxin PEI Xianzhi ZHANG Jinjiang ZHANG Yongming Key Laboratory of Western mineral resources and Geological Engineering MOESchool of Earth Science and ResourcesChang'an UniversityXi'an 710054China Key Laboratory of Orogenic Belts and Cnistal Evolution MOESchool of Earth and Space SciencesPeking UniversityBeijing 100871China faculty of resources and Environmental Engineering Shandong University of TechnologyZiboShandong 255049China

Objective Siliceous rocks can form in different positions in the oceanic plate,for example,the oceanic spreading ridge center,the oceanic basin and the continental *** geochemistry of siliceous rocks is very sensitive to the depositional environment,which can thus be used to constrain the tectonic setting of related rocks(Garbán et al.,2.17).

关键词： oceanic Tianshan geochemistry

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Advances in coastal ocean boundary layer detection technology and equipment in China

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Journal of Environmental sciences 2023年第1期123卷 156-168页

作者： Haitao Zheng Youwen Sun Tao Luo Xueling Cheng Shiyong Shao Shouyin Zheng Bangyi Tao Bin Chen Qianguang Tu Kan Huang Bingbing wang Mian wang Xiaoquan Song Tianshu Zhang Yin Cheng Jianguo Liu Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHFIPSChinese Academy of SciencesHefei 230031China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei 230031China Advanced Laser Technology Laboratory of Anhui Province Hefei 230031China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China College of earth sciences University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Surveying and Municipal Engineering Zhejiang University of Water Resources and Electric PowerHangzhou 310018China Center for Atmospheric Chemistry Study Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3)Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China State Key Laboratory of Marine Environmental Science College of Ocean and Earth SciencesXiamen UniversityXiamen 361005China Meteorological Observation Centre China Meteorological AdministrationBeijing 100081China College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China

Accurate and comprehensive knowledge of the atmospheric environment and its evolution within the coastal ocean boundary layer are necessary for understanding the sources,chemical mechanisms,and transport processes of air pollution in land,sea,and *** present an overview of coastal ocean boundary layer detection technology and equipment in China and summarize the progress and main achievements in recent *** has developed a series of coastal ocean boundary layer detection technologies,including Light Detection and Ranging(LIDAR),turbulent exchange analyzer,air-sea flux analyzer,stereoscopic remote sensing of air pollutants,and oceanic aerosol detection equipment to address the technical bottleneck caused by harsh environmental conditions in coastal ocean *** in these technologies and equipment have provided scientific assistance for addressing air pollution issues and understanding land-sea-atmosphere interactions over coastal ocean regions in *** the future,routine atmospheric observations should cover the coastal ocean boundary layer of China.

关键词： Atmospheric pollution Coastal ocean Atmospheric monitoring Environmental instrument

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南秦岭略阳地区略阳组牙形刺新材料及其时代意义

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微体古生物学报 2019年第1期36卷 87-96页

作者：杨志华王训练周洪瑞景秀春沈阳于子栋杨运军石颖中国地质大学(北京)地球科学与资源学院北京100083 中国地质大学(北京)博物馆北京100083 中国科学院南京地质古生物研究所现代古生物学和地层学国家重点实验室南京210008 陕西省地质调查中心西安710068

略阳组分布于南秦岭勉略缝合带附近,是略阳地区重要的岩石地层单元。本次研究在略阳灵岩寺南部剖面的略阳组获得牙形刺13枚,共识别出3属5种,包含2.种和2.定种,分别为:Siphonodella homosimplex,Polygnathus communis communis,*** ino... 详细信息

略阳组分布于南秦岭勉略缝合带附近,是略阳地区重要的岩石地层单元。本次研究在略阳灵岩寺南部剖面的略阳组获得牙形刺13枚,共识别出3属5种,包含2.种和2.定种,分别为:Siphonodella homosimplex,Polygnathus communis communis,*** inornatus,Po. sp.和Pseudopolygnathus sp.。该牙形刺组合可以与华南同时期牙形刺进行对比,时代为早石炭世杜内期早期,这为确定略阳组的下部层位的具体时代提供了新的牙形刺证据。略阳组中所产出的***为华南地区浅水相牙形刺的典型代表,*** inornatus广泛见于西欧的浅水相地层,这表明在早石炭世期间勉略地区为浅水碳酸盐岩台地沉积环境,且与华南地区生物区系存在紧密联系,同前人根据底栖生物化石研究得出的结论相一致。

关键词：牙形刺略阳组石炭纪南秦岭陕西

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城市地表温度遥感:从方向温度、全表面温度到三维表面温度

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遥感学报 2024年第6期28卷 1480-1496页

作者：陈云浩王丹丹占文凤周纪胡德勇全金玲孙灏郭徵夏海萍代秀娟姜璐北京师范大学地理科学学部遥感科学国家重点实验室北京100875 中国地质大学(北京)土地科学技术学院北京100083 南京大学江苏省地理信息技术重点实验室/南京大学国际地球系统科学研究所南京210023 江苏省地理信息资源开发与利用协同创新中心南京210023 电子科技大学资源与环境学院成都611731 首都师范大学资源环境与旅游学院北京100048 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室北京100101 中国矿业大学(北京)地球科学与测绘工程学院北京100083 中国气象局中国遥感卫星辐射测量和定标重点开放实验室/国家卫星气象中心(国家空间天气监测预警中心) 北京100081 气象卫星创新中心北京100081 杭州师范大学遥感与地球科学研究院杭州311121 南京邮电大学地理与生物信息学院南京210023

城市地表温度是城市下垫面能量收支和局地气候变化的重要参数,较大范围的城市地表温度一般通过遥感技术手段获取。城市地表显著的三维结构,使其具有较强的热辐射方向性。热红外遥感通常可以提供传感器在特定方向视场中所有组分表面的平... 详细信息

城市地表温度是城市下垫面能量收支和局地气候变化的重要参数,较大范围的城市地表温度一般通过遥感技术手段获取。城市地表显著的三维结构,使其具有较强的热辐射方向性。热红外遥感通常可以提供传感器在特定方向视场中所有组分表面的平均温度(即方向温度),方向温度随传感器观测角度变化,且与城市表面温度的真实分布状况存在差异。为更好地表征城市下垫面与大气的能量交换,已有研究常采用“全表面温度”代表城市表面温度特征。目前,“全表面温度”仅在描述城市表面温度的平均状况方面有所突破,但无法体现城市表面温度的高时空分辨率特征,不能满足精细城市热环境评估的需求。本文梳理了城市地表温度从“方向温度”(二维)到“全表面温度”(2.5维)再到“三维表面温度”(三维)的发展脉络;概括了目前利用遥感方向观测获取城市地表不同维度温度的进展;厘清了不同维度城市地表温度的差异及其相互关系;阐述了不同维度城市地表温度的应用。在总结存在的问题的基础上,指出了城市地表温度遥感的未来发展趋势:(1)面向应用的城市三维表面温度定义;(2.面向城市三维表面温度重建的立体化观测;(3)三维表面温度产品与城市气候模型的耦合。

关键词：城市遥感地表温度方向温度全表面温度三维表面温度

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Advances in alternating electromagnetic field data processing for earthquake monitoring in China

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Science China earth sciences 2015年第1期58卷 172-182页

作者： ZHAO GuoZe BI YaXin wang LiFeng HAN Bing wang Xiao XIAO QiBin CAI JunTao ZHAN Yan CHEN XiaoBin TANG Ji wang JiJun State Key Laboratory for earthquake Dynamics Institute of Geology China Earthquake Administration Computer Science Research Institute Faculty of Computing and Engineering University of UlsterBelfast BT37 0QB United Kingdom beijing Qilu Institute of Geology and mineral {2.

The alternating electromagnetic(EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasing applications and research of artificial-source extremely low frequency EM and satellite EM technologies in earthquake studies, the amount of observed data from the alternating EM method increases rapidly and exponentially, so it is imperative to develop suitable and effective methods for processing and analyzing the influx of big data. This paper presents research on the self-adaptive filter and wavelet techniques and their applications to analyzing EM data obtained from ground measurements and satellite observations, respectively. Analysis results show that the self-adaptive filter method can identify both natural- and artificial-source EM signals, and enhance the ratio between signal and noise of EM field spectra, apparent resistivity, and others. The wavelet analysis is capable of detecting possible correlation between EM anomalies and seismic events. These techniques are effective in processing and analyzing massive data obtained from EM observations.

关键词： wavelet alternating detecting capable exponentially captured apparent publications extremely processed

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An Objective Approach to Generating Multi-Physics Ensemble Precipitation Forecasts Based on the WRF Model

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Journal of Meteorological Research 2020年第3期34卷 601-620页

作者： Chenwei SHEN Qingyun DUAN Wei GONG Yanjun GAN Zhenhua DI Chen wang Shiguang MIAO State Key Laboratory of earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875 State Key Laboratory of Hydrology–Water resources and Hydraulic Engineering and College of Hydrology&Water resources Hohai UniversityNanjing 210098 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 South China Botanical Garden Chinese Academy of SciencesGuangzhou 510650 Institute of Urban Meteorology China Meteorological AdministrationBeijing 100081

Selecting proper parameterization scheme combinations for a particular application is of great interest to the Weather Research and Forecasting(WRF)model *** study aims to develop an objective method for identifying a set of scheme combinations to form a multi-physics ensemble suitable for short-range precipitation forecasting in the Greater beijing *** ensemble is created by using statistical techniques and some *** initial sample of 90 scheme combinations was first generated by using Latin hypercube sampling(LHS).Then,after several rounds of screening,a final ensemble of 40 combinations were *** ensemble forecasts generated for both the training and verification cases using these combinations were evaluated based on several verification metrics,including threat score(TS),Brier score(BS),relative operating characteristics(ROC),and ranked probability score(RPS).The results show that TS of the final ensemble improved by 9%-33%over that of the initial *** reliability was improved for rain≤10 mm day^-1,but decreased slightly for rain>10 mm day^-1 due to insufficient *** resolution remained about the *** final ensemble forecasts were better than that generated from randomly sampled scheme *** results suggest that the proposed approach is an effective way to select a multi-physics ensemble for generating accurate and reliable forecasts.

关键词： ensemble precipitation forecast Weather Research and Forecasting(WRF)model multi-physics verification bootstrapping

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Internet of Things to network smart devices for ecosystem monitoring

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Science Bulletin 2019年第17期64卷 1234-1245页

作者： Xin Li Ning Zhao Rui Jin Shaomin Liu Xiaomin Sun Xuefa Wen Dongxiu Wu Yan Zhou Jianwen Guo Shiping Chen Ziwei Xu Mingguo Ma Tianming wang Yonghua Qu Xinwei wang Fangming Wu Yuke Zhou Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing 100875 China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy o f Sciences Beijing 100101 China Center for Excellence in Tibetan Plateau earth sciences Chinese Academy o f Sciences Beijing 100101 China Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China State Key Laboratory of earth Surface Processes and Resource Ecology Faculty o f Geographical Science Beijing Normal University Beijing 100875 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing 100093 China Optoelectronics System Laboratory Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China Research Base of Karst Eco-environments at Nanchuan in Chongqing Ministry of Nature Resources School of Geographical Sciences Southwest University Chongqing 400715 China Ministry of Education Key Laboratory for Biodiversity Science and Engineering Monitoring and Research Center for Amur Tigers and Amur Leopards National Forestry and Grassland Administration & College of Life Sciences Beijing Normal University Beijing 100875 China

Smart, real-time, low-cost, and distributed ecosystem monitoring is essential for understanding and managing rapidly changing ecosystems. However, new techniques in the big data era have rarely been introduced into operational ecosystem monitoring, particularly for fragile ecosystems in remote *** introduce the Internet of Things(IoT) techniques to establish a prototype ecosystem monitoring system by developing innovative smart devices and using IoT technologies for ecosystem monitoring in isolated environments. The developed smart devices include four categories: large-scale and nonintrusive instruments to measure evapotranspiration and soil moisture, in situ observing systems for CO2.and d13 C associated with soil respiration, portable and distributed devices for monitoring vegetation variables, and Bi-CMOS cameras and pressure trigger sensors for terrestrial vertebrate monitoring. These new devices outperform conventional devices and are connected to each other via wireless communication networks. The breakthroughs in the ecosystem monitoring IoT include new data loggers and longdistance wireless sensor network technology that supports the rapid transmission of data from devices to wireless networks. The applicability of this ecosystem monitoring IoT is verified in three fragile ecosystems, including a karst rocky desertification area, the National Park for Amur Tigers, and the oasis-desert ecotone in China. By integrating these devices and technologies with an ecosystem monitoring information system, a seamless data acquisition, transmission, processing, and application IoT is created. The establishment of this ecosystem monitoring IoT will serve as a new paradigm for ecosystem monitoring and therefore provide a platform for ecosystem management and decision making in the era of big data.

关键词： Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device

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