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Spatial heterogeneity of the driving forces of cropland change in china

Science china Earth sciences 2005年第12期48卷 2231-2240页

作者： liu xuhua1,2. wang jinfeng1,{2.,{3., Chinese Academy of sciences, beijing 100101, china 2. Graduate School of the Chinese Academy of sciences, beijing 10003., china 3. College of Arts and sciences of beijing Union University, beijing 100083. china 4. School of Forestry and Wildlife sciences, Auburn University, Auburn, Alabama, AL3.849, USA institute of geographic {2. and {3. resources research Chinese Academy of Sciences Beijing China Graduate School of the Chinese Academy of sciences Beijing China School of Forestry and Wildlife sciences Auburn University Auburn Alabama USA College of Arts and sciences of beijing Union University Beijing China

By using digital satellite remote sensing data acquired in 1987―1989 and 1999―2.00 and GIS combined with the natural and socio-economic data, this paper drew an integrated zonation of the cropland change and its driving forces in{2.. The results indicated that the cropland change in the study period was constrained by geographical factors and driven by cli-mate change as well as socio-economic system. Moreover, the regional differences of the drivers for cropland change were significant. In the midwest of{2., natural condition changes and geographical background were the main constraints and drivers, while in Eastern{2., social and economic changes and economic policies were the main driving forces. The cropland loss was nationwide. The dominant factors to cause this decrease included buildup of developing area to attract foreign capital and technologies, changes of industry structure due to urban in-fluence, the change of employment notions thanks to living standard improvement, rapid ur-banization due to the expansion of cities and towns, the diminished farming net income partly because of the global warming effects, and the rapid economic growth stimulated by the con-venient transportation system. These factors interact and interdepend with each other to cause the cropland loss in{2. recently. The reasons for the increase of cropland were primarily the cultivation and deforestation by the farmers who want to increase income. This study on the mechnism of LUCC relied on the cropland change integrated classification considering the natural or human factors both inside and outside the region, which provides a new approach to study the integrated regionalization and LUCC mechanism.

关键词： land use change, driving force, integrated classification, spatial statistics, cropland, china.

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Modeling the impacts of climate change on china's agriculture

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Journal of geographical sciences 2001年第2期11卷 149-160页

作者： liu Hui~1, LI Xiu-bin~1, Guenther Fischer~2. SUN Lai-xiang~2.(1. {2. of geographic sciences and natural resources research, CAS, beijing 100101, china 2. International {2. for Applied System Analysis, A-2.61 Laxenburg, Austria) institute of geographic {2. and {3. resources research CAS International institute for Applied System Analysis A-2361 Laxenburg Austria

The impacts of climate change on china's agriculture are measured based on Ricardian model. By using county-level cross-sectional data on agricultural net revenue, climate, and other economic and geographical data for 12.5 agriculture-dominated counties in the period of 1985-1991, we find that both higher temperature and more precipitation will have overall positive impact on china's agriculture. However, the impacts vary seasonally and regionally. Higher temperature in all seasons except spring increases agricultural net revenue while more precipitation is beneficial in winter but is harmful in summer. Applying the model to five climate scenarios in the 2.2.s and 2.50s shows that the North, the Northeast, the Northwest, and the Qinghai-Tibet Plateau would always benefit from climate change while the South and the Southwest may be negatively affected. For the East and the Central china, most scenarios show that they may benefit from climate change. In conclusion, climate change would be beneficial to the whole china.

关键词： climate change Ricardian model china's agriculture

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Mapping china’s offshore mariculture based on dense time-series optical and radar data

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International Journal of Digital Earth 2022年第1期15卷 1326-1349页

作者： Xiaoliang liu Zhihua wang Xiaomei Yang Yueming liu {3. liu Junyao Zhang Ku Gao Dan meng Yaxin Ding State Key Laboratory of resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China University of Chinese Academy of sciences BeijingPeople’s Republic of China

Due to the weak information about cultural targets in the complex marine environment,an omission problem exists in large-scale mariculture extraction using single-view and single-source *** overcome this problem,we developed a mariculture extraction method that combines dense time-series Sentinel-2.and Sentinel-1 data.A high-precision Chinese mariculture distribution map for 2.2. was produced with an overall accuracy of 94.00%and a kappa coefficient of *** results show that(1)the total area of mariculture was 1173.1}9.2. ha on the national scale,which was significantly larger than the previous studies(459595.70 and 2.592..2. ha,respectively),with Shandong Province(3..09%)having the largest proportion;(2.china’s mariculture presented a spatial distribution characteristic of‘Denser North and Sparser South’,and mariculture was centralized in the coastal zones of the northern provinces(60.76%)rather than the southern provinces;(3.the official production statistics and remote sensing-derived mariculture area revealed a highly corresponding trend at the provincial level,with an R2.reaching 0.78,which is much higher than the 0.07 and 0.41 values of the comparison *** results directly provide data reference for mariculture production estimation and site selection or ideas for mariculture extraction in other regions and globally.

关键词： Aquaculture mariculture multi-source remote sensing time-series china’s coastal zone

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N-(2.Phenoxy)ethyl imidazo[1,2.a]pyridine-3.carboxamides containing various amine moieties:Design,synthesis and antitubercular activity

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Chinese Chemical Letters 2020年第2期31卷 409-412页

作者： Linhu Li Apeng wang bin wang {3. liu Kai Lv Zeyu Tao Chao Ma Xican Ma bing Han Aoyu wang Yu Lu institute of Medicinal Biotechnology Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050China Limin Chemical Co. Ltd.Xinyi 221422China beijing Key Laboratory of Drug Resistance Tuberculosis research Department of PharmacologyBeijing Tuberculosis and Thoracic Tumor Research InstituteBeijing Chest HospitalCapital Medical UniversityBeijing 100149China

Seven 2.6-disubstituted N-(2.phenoxy)ethyl imidazo[1,2.a]pyridine-3.carboxamide series containing various amine moieties were designed and synthesized as new anti-TB *** of them show excellent in vitro activity against both drug-sensitive MTB strain H3.Rv and two MDR-MTB clinical isolates(MIC:2.0.03. μg/mL).Compounds 2.,5e and 5g display acceptable safety and pharmacokinetic profiles,opening a new direction for further development.

关键词： N-(2.Phenoxy)ethyl imidazo[1,2.α]pyridine Design Synthesis Antimycobacterial activity

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基于无人机遥感的盐渍化土壤有机质反演方法研究

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地球信息科学学报 2024年第3期26卷 736-752页

作者：王玮莹彭金榜朱婉雪杨斌刘振公华锐王俊栋杨婷娄金勇孙志刚中国科学院地理科学与资源研究所北京100101 中国科学院大学资源与环境学院北京100049 中科山东东营地理研究院东营257000 长光禹辰信息技术与装备(青岛)有限公司青岛266000

土壤有机质含量是衡量土壤肥力的重要指标,对粮食生产具有重要影响。我国滨海盐碱地分布广阔,土壤有机质呈现显著的空间异质性。传统的“实地采集-实验测量”的方法费时费力,难以快速描绘盐碱地区土壤有机质含量的空间分布特征。因此,... 详细信息

土壤有机质含量是衡量土壤肥力的重要指标,对粮食生产具有重要影响。我国滨海盐碱地分布广阔,土壤有机质呈现显著的空间异质性。传统的“实地采集-实验测量”的方法费时费力,难以快速描绘盐碱地区土壤有机质含量的空间分布特征。因此,采用遥感技术对土壤有机质含量进行高效且精准地反演,可以快速了解土壤肥力,从而调整与优化农业生产与管理。本研究以黄河三角洲典型滨海盐碱地裸土(0~10 cm土层)为研究对象,通过提取土壤的无人机遥感光谱与空间纹理信息,构建并筛选遥感指数。分别采用多元线性逐步回归、偏最小二乘以及随机森林模型对土壤有机质含量进行反演,并对比分析耕作与未耕作处理对反演的影响,同时探究融入对土壤盐分含量敏感的遥感信息是否可提高盐碱地区土壤有机质的反演精度。研究结果表明:(1)在土壤有机质含量反演中,随机森林模型的反演精度(R2.0.83.0.95)显著高于多元线性逐步回归(R2.0.2.~0.69)和偏最小二乘模型(R2.0.3.~0.72.;(2.与未耕作土壤(R2.0.2.~0.95)相比,耕作处理下的土壤有机质的反演精度较高(R2.0.54~0.94),即土壤的耕作处理能提高光谱指数对于土壤有机质含量的响应,从而提升土壤有机质含量的反演精度,为更加精准地监测土壤有机质提供新思路;(3.融入遥感纹理信息或土壤盐分含量信息(盐分实测值和盐分敏感指数)可显著提高土壤有机质反演精度。本研究将为提升田块尺度滨海盐渍化农田的土壤有机质含量反演提供理论与技术支撑,从而促进滨海盐渍化地区现代化农业的发展。

关键词：土壤有机质反演无人机多光谱遥感土壤盐分光谱指数盐碱地裸土耕作未耕作

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Water consumption and biodiversity:Responses to global emergency events

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Science Bulletin 2024年第16期69卷 2632-2646页

作者： Dandan Zhao Junguo liu Laixiang Sun Klaus Hubacek Stephan Pfister Kuishuang Feng Heran Zheng Xu Peng Daoping wang Hong Yang Lei Shen Fei Lun Xu Zhao {2. Chen Marko Keskinen Shaohui Zhang Jialiang Cai Olli Varis Water&Development research Group Department of Built EnvironmentAalto UniversityEspoo 15200Finland School of Water Conservancy North China University of Water Resources and Electric PowerZhengzhou 450046China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of geographical sciences University of MarylandCollege Park 20742USA School of Finance and Management SOASUniversity of LondonLondon WC1H0XGUK Integrated research on Energy Environment and SocietyEnergy and Sustainability Research Institute GroningenUniversity of GroningenGroningen 9747AGthe Netherlands ETH Zurich Institute of Environmental EngineeringZurich 8093Switzerland The Bartlett School of Sustainable Construction University College LondonLondon WC1E6BTUK School of Business Jiangnan UniversityWuxi 214122China Department of Computer Science and Technology University of CambridgeCambridge CB21TNUK w2. Environmental Consulting GmbH Duebendorf 8600Switzerland Key Laboratory for Resource Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Land Science and Technology China Agricultural UniversityBeijing 100083China institute of Blue and Green Development Shandong UniversityWeihai 264209China Fudan Tyndall Center Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China School of Economics and Management Beihang UniversityBeijing 100191China International institute for Applied Systems Analysis Laxenburg A-2361Austria

Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2.19(COVID-19)pandemic caused diverse disruptions and changes in life and work *** changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on ***,there has been a lack of holistic evaluation of these ***,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)*** framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of *** results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new *** 2.2.,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement ***,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on *** the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on *** study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency ***,we recommend the development o

关键词： Global emergency events Water-biodiversity causal effect COVID-19 Biodiversity MRIO-enhanced DPSIR framework Supply-chain network High-resolution water consumption dataset Supply-constrained multi-regional input-output(mixed MRIO)model

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Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

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Advances in Atmospheric sciences 2020年第7期37卷 663-670页

作者： Fei liu Chen XING Jinbao LI bin {2. Jing CHAI Chaochao GAO Gang HUANG Jian liu Deliang CHEN School of Atmospheric sciences and Guangdong Province Key Laboratory for Climate Change and natural Disaster Studies Sun Yat-sen UniversityZhuhai 519082China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Earth System Modeling and Climate Dynamics research Center Nanjing University of Information Science and TechnologyNanjing 210044China Department of Geography University of Hong KongPokfulamHong Kong Department of Atmospheric sciences and International Pacific research Center University of Hawaii at ManoaHonoluluHI 96822USA Department of Environmental Science Zhejiang UniversityHangzhou 310058China State key Laboratory of Numerical Modeling for Atmospheric sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory for Virtual geographic Environment Ministry of EducationJiangsu Provincial State Key Laboratory Cultivation Base of Geographical Environment EvolutionSchool of Geography ScienceNanjing Normal UniversityNanjing 210023China Department of Earth sciences University of GothenburgGothenburg 40530Sweden

The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines.A recent eruption occurred on 12.January 2.2.(Fig.1a),and this volcano is still active with the occurrence of volcanic *** eruption has become a deep concern worldwide,not only for its damage on local society,but also for potential hazardous consequences on the Earth’s climate and environment.

关键词： Volcano Philippines worldwide

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Urban expansion patterns and their driving forces based on the center of gravity-GTWR model:A case study of the beijing-Tianjin-Hebei urban agglomeration

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Journal of geographical sciences 2020年第2期30卷 297-318页

作者： wang Haijun ZHANG bin {2. Yaolin {2. Yanfang XU Shan ZHAO Yuntai CHEN Yuchen HONG Song School of resources and Environmental Science Wuhan UniversityWuhan 430079China Key Laboratories of geographic Information Systems Ministry of EducationWuhan UniversityWuhan 430079China Collaborative Innovation Center for Geospatial Information Science Wuhan UniversityWuhan 430079China institute of geographic {2. and {3. resources research CASBeijing 100101China china Land Survey and Planning institute Beijing 100035China

research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and *** this paper,we reveal the multi-dimensional characteristics of urban expansion patterns,based on the intensity index of the urban expansion,the differentiation index of the urban expansion,the fractal dimension index,the land urbanization rate,and the center of gravity model,by taking the beijing-Tianjin-Hebei(Jing-Jin-Ji)urban agglomeration as an *** then build the center of gravity-{2.ally and temporally weighted regression(GTWR)model by coupling the center of gravity model with the GTWR *** the analysis of the temporal and spatial patterns and by using the center of gravity-GTWR model,we analyze the driving forces of the urban land expansion and summarize the dominant development modes and core driving forces of the Jing-Jin-Ji urban *** results show that:1)Between 1990 and 2.15,the expansion intensity of the Jing-Jin-Ji urban agglomeration showed a down-up-down trend,and the peak period was in *** 2.05,high-speed development took place in beijing,Tianjin,Baoding,and Langfang;after 2.05,rapid development was seen in Xingtai and Handan.2.Although the barycenter of cities in the Jing-Jin-Ji urban agglomeration has shown a divergent trend,the local interaction between cities has been enhanced,and the driving forces of urban land expansion have shown a characteristic of spatial spillover.3.The spatial development mode of the Jing-Jin-Ji urban agglomeration has changed from a dual-core development mode to a multi-core development mode,which is made up of three functional cores:the transportation core in the northern part,the economic development core in the central part,and the investment core in the southern *** synergistic development between each functional core has led to the multi-core development mode.4)The center of gravity-GTWR model combines the analy

关键词： urban land expansion driving forces center of gravity geographically and temporally weighted regression Jing-Jin-Ji

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新质生产力赋能自然资源高质量管理:逻辑与路径

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自然资源学报 2024年第9期39卷 2011-2028页

作者：金晓斌沈镭黄贤金邓祥征胡守庚柯新利吴志峰赵多平刘晶南京大学地理与海洋科学学院南京210023 中国科学院地理科学与资源研究所北京100101 中国地质大学(武汉)公共管理学院武汉430074 华中农业大学公共管理学院武汉430070 广州大学地理科学与遥感学院广州510006 宁夏大学地理科学与规划学院银川750021 中国矿业大学公共管理学院徐州221116

中国社会经济已由高速增长阶段转向高质量发展阶段,推动自然资源高质量管理已成为关乎国家发展全局的重大问题。加快构建和培育新质生产力,赋能自然资源高质量管理,对于推动实现中国式现代化具有重大现实意义。围绕新质生产力赋能自然... 详细信息

中国社会经济已由高速增长阶段转向高质量发展阶段,推动自然资源高质量管理已成为关乎国家发展全局的重大问题。加快构建和培育新质生产力,赋能自然资源高质量管理,对于推动实现中国式现代化具有重大现实意义。围绕新质生产力赋能自然资源高质量管理的逻辑与路径,邀请来自不同学科领域的相关学者,就“新质生产力”与自然资源管理的逻辑关系、在自然资源管理中的定位与功能、对自然资源管理的启示与要求、促进自然资源高质量管理的重点领域,以及新质生产力应对气候变化与践行“双碳”目标、赋能国土空间治理现代化建设、重塑城乡协调发展新形态、保障粮食安全与助推农业强国建设路径等前沿议题发表观点。旨在深入解析这一议题及相关关键问题的解决路径,探索新质生产力在自然资源管理中的具体应用,为推动自然资源高质量管理、助力中国式现代化建设提供科学参考。综合各位专家的主要观点,以新质生产力推动自然资源高质量管理目标的实现,应特别关注以下关键问题:(1)面向全域、全要素、全过程、多部门协同的自然资源系统管理与机制创新;(2.面向综合保障自然资源安全与强化关键资源供给稳定的新质生产力培育重点领域与路径;(3.面向自然资源高效利用与精准管理的“数智化”新质生产力培育体系建设与实践创新。

关键词：新质生产力自然资源高质量管理机制创新 “数智化”转型

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Preliminary Estimation of Soil Carbon Sequestration of china’s Forests during 1999–2.08

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Journal of resources and Ecology 2022年第1期13卷 17-26页

作者： wang bin {2. Moucheng ZHOU Zhichun research institute of Subtropical Forestry Chinese Academy of ForestryFuyangZhejiang 311400China institute of geographic {2. and {3. resources research Chinese Academy of SciencesBeijing 100101China

The National Forest Inventory(NFI)is an important resource for estimating the national carbon balance(These data were unpublished data,and we could only obtain the data before 2.08 through data search by now).Based on the data from sample plots,the literature,and NFI,as well as the relationships between volume,biomass,annual litterfall and soil respiration of different forest types,the net ecosystem production(NEP),changes in forest biomass carbon storage(△Cbiomass)and non-respiratory losses(NR)of china’s forests during 1999-2.08 were estimated,and the forest soil carbon sequestration(△Csoil)was assessed according to the carbon balance principle of the forest ecosystem(△Csoil=NEP-NR-△Cbiomass).The results showed that the total NEP,△Cbiomass,NR and△Csoil values for china’s forests were 157.53.,48.704,3..03. and 77.793.Tg C yr^(-1) respectively,and average NEP,△Cbiomass,NR,and△Csoil values were 101.2.7,3..3.3.19.945 and 49.999 g C m^(-2. yr^(-1) *** were large spatial differences in forest soil carbon sequestration in different parts of *** forest soil in Jiangxi,Hunan,Zhejiang,Fujian,Anhui,Shanxi,Shaanxi,Guangxi and Liaoning served as carbon sources and the carbon released was about 2..507 Tg C yr^(-1).The other 2. provinces served as carbon sinks and the average carbon sequestration by forest soil came to 103.3.0 Tg C yr^(-1).This {2. established a method for evaluating soil carbon sequestration by china’s forests based on the NFI,which is a useful supplement to current statistical data-based studies on the forest ecosystem carbon cycle,and can promote comparable studies on forest soil carbon sequestration with consistent {2. methods at the regional scale.

关键词： carbon balance forest ecosystem national forest inventory soil carbon sequestration

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