
研究员 · 博士生导师 · 新西兰皇家科学院院士
中国科学院地理科学与资源研究所 地理信息科学与技术全国重点实验室
地址:北京市朝阳区安外大屯路甲11号(邮编100101)
邮箱:baozhang.chen@igsnrr.ac.cn 电话:010-64889574
一、个人简介
陈报章,男,中国科学院地理科学与资源研究所研究员、博士生导师,加拿大不列颠哥伦比亚大学(UBC)和中国矿业大学双博士,中国科学院大学表层地球模式首席科学家,2025年当选新西兰皇家科学院院士;国际期刊Spatio-Temporal Intelligence(MDPI)创刊主编。2000年获江苏省高校教师教授任职资格,曾任徐州师范大学(现江苏师范大学)教授;后赴加拿大,先后任职于多伦多大学、不列颠哥伦比亚大学,并任昆特兰理工大学教授;2009年入选中国科学院引才项目回国工作。
主要从事时空智能、GeoAI与对地观测、时空数据挖掘与因果推断、地球系统数字孪生,以及数据-模型同化、碳监测与碳同化系统、表层地球系统模型研发和全球变化应对研究。研发了动态陆面生态模型DLM、中国首个天空地双碳数字孪生模拟器、中国高时空分辨率碳同化系统(CT-China和3-GAS)以及高分辨率嵌套式区域碳同化系统(RCAS),实现了国家级准业务化运行及省、市多尺度碳排放与碳汇的高精度核算应用,在全球、国家和地方碳核算与碳中和评估方面的贡献得到国际同行和相关政府部门的认可。在环境考古与古生态学领域,20世纪90年代发现了距今约8000年的河南舞阳贾湖栽培水稻遗存,是当时已知世界上最早的驯化水稻遗存,也是迄今发现的世界水稻驯化史上纬度最北的稻作发源地,具有人类文明发展史上的“断代”意义。
主持或作为骨干成员参加完成加拿大NSERC、CFCAS等国家级科研项目10余项;主持国家自然科学基金原创探索计划重点项目、重点项目、面上项目,国家重点研发计划、973计划、863计划、国家科技支撑计划和中国科学院战略性先导科技专项等国内科研项目20余项。在Nature Communications、Science Bulletin、Global Change Biology、Remote Sensing of Environment、New Phytologist、《科学通报》《地理学报》等期刊发表论文200余篇,其中SCI收录120余篇;出版独著专著1部、主持撰写专著1部、参编著作3部;获授权国家发明专利7项、软件著作权20余项。
获自然资源科学技术奖(科技进步类)二等奖1项(2023,排名第1)、环境技术进步奖二等奖2项(2024、2025,均排名第1)、环境保护科学技术奖二等奖1项(2019,排名第6)。曾获中国地理学会第三届中国青年地理科技奖(1995),入选江苏省高校优秀青年骨干教师(1996)、江苏省“333高层次人才培养工程”中青年科学技术带头人(1998)、江苏省“双创计划”创新类人才和创新类团队(2014),并获国际工程技术(IET)优秀研究生奖学金、加拿大NSERC Alexander Graham Bell加拿大研究生奖学金(CGS,加拿大最高级别研究生奖学金)等个人学术奖励20余项。
二、主要学术任职
现任
• 国际期刊 Spatio-Temporal Intelligence(MDPI,ISSN 3043-1883)创刊主编(Founding Editor-in-Chief)
• 国际自然资源学会(iAONR) 执行副主席(常务副理事长),遥感与时空智能分会主席
• 中国科学院大学 表层地球模式首席科学家
• 生态环境部 碳监测评估试点技术委员会委员
• 《地理研究》、Scientific Data(Nature旗下)、Forests、Water、Atmosphere等10余种期刊编委,多个专刊客座主编
曾任
• 中国气象局温室气体及碳中和监测评估中心 首席科学家
• 中国科学院院士增选办法改革后第一届评审委员会 专家
• 教育部“长江学者奖励计划” 评审专家
• 国家自然科学基金青年科学基金项目(A类、B类) 评审专家
三、主要研究方向
• 时空智能:面向动态世界的感知、表征、理解、推理、预测、模拟与响应的理论与方法
• GeoAI与对地观测:遥感与地理空间人工智能融合、基础模型与智能解译
• 时空数据挖掘与因果推断:多源多尺度时空数据融合、尺度推绎与时空因果分析
• 地球系统数字孪生:天空地双碳数字孪生模拟器、“感知—认知—行动”闭环系统
• 数据-模型同化与碳同化系统:CT-China、RCAS、3-GAS等多尺度碳同化反演系统;卫星-地基联合同化
• 碳监测与碳中和评估:天空地一体化碳监测网络、碳排放与碳汇高精度核算
• 陆面模式与陆气相互作用:动态陆面过程模型DLM、碳-氮-水耦合过程模拟、生态水文过程
• 环境遥感、GIS与环境大数据:多源遥感数据融合、通量足迹模型、空间分析与环境大数据
• 生物多样性与生态系统功能和服务:生境质量、生态系统服务评估与生态安全
• 全球变化与环境考古:陆地生态系统对气候变化的响应;植硅石分析与稻作起源
四、主要学术成就
(一)表层地球系统模型、数据-模型同化与碳同化系统
围绕遥感、生态建模、碳循环和应对气候变化等主题,以土壤-植被-大气一体化理论为指导,系统开展了基于遥感的陆面过程模型与碳循环模型研发、模型耦合、多源多尺度遥感数据同化、数据-模型融合和尺度转换等研究,取得了一系列原创性成果:(1)建成了多源多尺度数据融合的“自下而上”区域碳源/汇模拟系统,包括机理性生态水文模型、遥感反演模型和遥感驱动的碳过程机理模型等子系统;(2)构建了“自上而下”的中国区域大气CO₂源/汇反演模型和数据-模型同化系统,即“中国碳追踪器”;(3)开发了卫星-地基CO₂联合同化技术、集合卡尔曼滤波-四维变分混合同化高效算法,以及机理过程模型-遥感反演模型-大气CO₂同化模型耦合技术,研发了首个中国天空地数据融合双碳数字孪生模拟器,实现了国家级准业务化运行及省、市多尺度碳排放与碳汇的高精度核算应用。上述成果具有原创性、突破性和引领性,得到国内外同行专家的高度评价,可持续服务于碳达峰、碳中和行动有效性评估和决策制定等国家重大需求,并在应对全球气候变化研究中发挥重要作用。面向国家“双碳”目标,围绕多源多尺度碳排放/碳汇监测核算关键技术及示范应用,主要成就可概括为以下五个方面:
1. 原创性研发中国首个高分辨率CO₂同化反演系统——中国碳追踪器(CarbonTracker-China)
这是继美国国家海洋与大气管理局CarbonTracker(NOAA)和欧洲CarbonTracker-Europe之后,全球第三个完整的全球尺度嵌套式碳同化系统,引领建立了卫星遥感监测与地基观测联合同化的大气CO₂源汇同化系统。
2. 研发高分辨率、高效率区域碳同化系统(RCAS)
主要创新包括:(1)开发了集合卡尔曼滤波-四维变分混合同化高效算法,显著提高了同化效率,突破了传统集合或变分同化算法难以支撑矩阵维数巨大的高分辨率区域碳同化系统有效计算的瓶颈,实现了公里级格网CO₂通量的高效同化反演;(2)采用POD-4DVar数据同化方法,实现了区域尺度CO₂排放与CO₂浓度的同步同化;(3)利用生态系统碳通量观测数据实时优化碳过程关键参数,实现了自然碳通量与人为碳通量的同步同化;(4)将多源碳卫星柱浓度数据和地基CO₂浓度观测数据与大气传输模式同化,构建多源卫星-地基联合区域碳同化系统,破解了地面高精度温室气体观测数据稀少的限制,提高了区域碳源汇反演精度;(5)通过RCAS与CT-China嵌套耦合并融合人工智能技术,研发了首个中国天空地双碳数字孪生模拟器,可同化核算1–5 km高分辨率的自然碳通量和人为碳排放,实现了国家级准业务化运行及省、市多尺度碳排放与碳汇的高精度核算应用,推动了我国碳达峰碳中和评估、陆地生态系统碳循环及全球变化研究的纵深发展。
3. 研发具有自主知识产权的集成动态陆面过程模型(DLM)
引入树冠聚集指数(clumping index),将冠层划分为上层林冠阳叶、阴叶和林下冠层阳叶、阴叶四个层次,分别计算各层次叶片的辐射平衡、阻抗、光合作用以及感热和潜热通量;实现了从定量模拟到系统集成的跨越,并耦合数据-模型同化算法,在陆地表层关键过程分析与系统模拟研究中发挥了重要作用。
4. 研建温室气体通量与浓度足迹模型(SEAF: Simple Analytical Footprint model on Eulerian coordinates)
基于欧拉场理论开发了足迹模型SEAF,在空间异质性分析与评估、尺度扩展及全球通量网观测资料的合理解释等方面发挥了重要作用,该方法被加拿大碳计划(CCP: Canadian Carbon Program)确定为加拿大通量网各观测站的常规评估方法。将遥感驱动的固定网格EASS陆面过程模型与加拿大国家天气预报所用的超大型可变网格区域气候模式(GEM)以C++和Fortran混合编程方式耦合,解决了超大型模型耦合、调试和并行计算的难题;利用在线耦合模型研究碳、水和能量交换过程的尺度效应,提出了国家和大陆尺度碳源汇研究中尺度扩展的新理论和新方法,发展了空间尺度转换关键技术。
基于Landsat TM/ETM+影像和通量塔观测数据,发展了基于通量塔足迹分析和多源数据融合的碳通量尺度上推方法,成功实现了从生态系统尺度(1–3 km)通量塔观测到景观和区域尺度的扩展。该方法体系包括通量足迹模型、改进回归树等机器学习模型以及影像融合技术,与其他尺度扩展方法相比具有效率高、精度高和鲁棒性强的特点。在区域和景观尺度上,对基于涡度相关观测、基于Landsat和MODIS影像反演以及基于CarbonTracker同化反演的结果进行了独立对比与验证。相关成果发表于Remote Sensing of Environment、Agricultural and Forest Meteorology和Remote Sensing等期刊。
5. 研发我国第一台多角度自动光谱监测系统(AMSPEC II: Automated, Multi-angular SPECtroradiometer system)
获发明专利“一种具有自动校正功能的地物光谱多角度连续观测系统”。该系统加入参考白板自动伸缩模块,可自动进行白板校正,解决了手动校正繁琐的问题,在太阳光强和天气条件较差时亦能及时校正,保证数据可用性和数据质量;加入风道吹扫模块,可定期清理参考白板;加入旋转云台,可对观测角度实施高精度控制,实现地物光谱多角度观测。该平台可实现连续自动的地物光谱观测与数据采集,观测频率可与涡度相关通量系统30 min数据匹配,为农业、森林遥感观测、生态过程和尺度扩展研究提供了重要技术手段。
该系统应用于“黑河生态水文遥感试验(HiWATER)”,可不间断获取高光谱观测数据,并可根据研究需要预设追踪不同卫星(如MODIS、Landsat等)的观测角度,实现星-地协同观测,为地表过程尺度扩展研究提供了有效手段;在国际上首次将改造的多角度自动光谱仪应用于农作物(张掖玉米地超级观测站)研究。在此基础上,设计了ASD全光谱原位自动观测系统,实现了360°旋转、直径61 m足迹区取样,是世界上第一个原位自动全光谱监测系统。
(二)研究成果与时空智能的衔接
上述成果本身即是时空智能(Spatio-Temporal Intelligence)的典型实践,与所创办的国际期刊Spatio-Temporal Intelligence的学术定位一脉相承:
• 中国首个天空地双碳数字孪生模拟器:对应地球系统数字孪生与“感知—认知—行动”闭环系统,实现从多源观测到核算、评估与决策支持的闭环。
• CT-China与RCAS时空数据同化系统(EnKF-4DVar、POD-4DVar):对应多源、多尺度时空数据融合与时空推理。
• SEAF通量足迹模型与通量塔空间代表性研究:本质上是“时空可测量性”与“尺度推绎”问题,是时空智能的基础科学问题之一。
• RCAS与人工智能的耦合:对应GeoAI与物理过程模型的混合建模,体现数据驱动与机理约束的结合。
(三)环境考古与古生态学
20世纪90年代,陈报章采用植硅石(phytolith)分析方法,发现了距今约8000年的河南省舞阳县贾湖遗址稻作遗存。贾湖遗址(距今8942–7801年)位于黄河流域中原地区,该发现是当时已知世界上最早的栽培水稻遗存;遗址位于北纬33°37′以北,远超出现今野生稻的分布范围,推翻了当时考古界公认的栽培稻起源于长江流域的结论。进一步采用孢粉和植硅石等气候代用指标,揭示了8000年前中原黄河流域气候比现在温暖湿润、气温高出约1–2℃,从环境考古学角度合理解释了世界水稻驯化发源地和最早的稻作文化中心出现于黄河流域中原地区的环境机制。
五、获奖与荣誉
(一)科技成果奖励
2025 “大气减污降碳耦合监测与溯源关键技术及应用示范”,环境技术进步奖二等奖,排名1/15。主要完成人:陈报章、马江红、孙佳龙、樊建凌、王然、刘水东、杨建虎、马景金、张慧芳、高柳堂、肖强松、吕志勇、安贇书、孟毅、张先鹏。
2024 “碳同化反演系统及高精度温室气体监测仪器研制的关键技术与应用”,环境技术进步奖二等奖,排名1/13。主要完成人:陈报章、唐桂刚、王然、何俊峰、吕洪刚、张慧芳、陈兵、丁俊男、汪巍、吴瑞丽、王界、袁松、滕洁。
2023 “多源、多尺度碳排放/碳汇监测核算关键技术及应用”,自然资源科学技术奖(科技进步类)二等奖,排名1/6。主要完成人:陈报章、王然、熊向陨、孙天乐、张慧芳等。
2019 “土地利用覆盖变化及其生态与气候效应监测模拟关键技术”,环境保护科学技术奖二等奖(证书编号:KJ2019-2-29-G06),排名6/7。主要完成人:邵全琴、刘纪远、樊江文、邓祥征、曹巍、陈报章等。
(二)个人学术荣誉与奖励
2025 当选新西兰皇家科学院院士
2014 入选江苏省“双创计划”创新类人才(江苏省委组织部)
2014 入选江苏省“双创计划”创新类团队(核心成员)
2009 入选中国科学院引才项目
2009–2010 Four Year Fellowship (FYF) for PhD Students,不列颠哥伦比亚大学(UBC)
2009 NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS),加拿大自然科学与工程研究理事会(NSERC);加拿大最高级别研究生奖学金,C$100,500
2008 Asa Johal Graduate Fellowship,UBC
2008 George S. Allen Memorial Fellowship,UBC
2008 Donald S. McPhee Fellowship,UBC
1998 IET优秀研究生奖学金(IET Excellent Graduate Scholarship),国际工程技术(IET)教育基金会
1998 江苏省“333高层次人才培养工程”中青年科学技术带头人
1997 江苏省跨世纪学术带头人(江苏省教育委员会)
1997 江苏省优秀学者(江苏省人民政府)
1996 江苏省高校优秀青年骨干教师(江苏省教育委员会)
1996 徐州师范大学(现江苏师范大学)优秀学者
1996 徐州师范大学(现江苏师范大学)1990–1995年度优秀研究者
1995 中国地理学会第三届中国青年地理科技奖(全国公开评选,每两年一届,全国共10人获奖)
1994 徐州师范大学(现江苏师范大学)优秀青年教师
六、近三年主持或参加国内外学术会议
(一)主持、组织学术会议
2026.09.28–30 第五届环境遥感与地理信息技术国际学术会议(ERSGIT 2026),中国·南京(南京信息工程大学)
大会主席;主持开幕式及分会场一,任最佳口头报告奖评委;作大会主旨报告“从GeoAI走向时空智能:迈向动态世界智能”。会议由国际自然资源学会遥感与时空智能分会主办,南京信息工程大学承办,MDPI提供媒体支持。
2025.10.15–16 第五届环境监测与预警技术研讨会暨中国环境科学学会环境监测专业委员会2025年学术年会,中国·济南(中国环境科学学会、中国环境监测总站联合主办)
分会场七“天空地海大数据智能同化与反演”主持人,并作报告,阐述人工智能赋能陆海空碳源汇核算与同化技术。
2024.11.23 第三届环境遥感与地理信息技术国际学术会议(ERSGIT 2024),中国·西安
大会组委会委员;大会主题报告:“中国天空地融合多尺度嵌套双碳数字孪生模拟器原型研发与应用”
2023.12.23–24 第十四次全国生态环境监测学术交流会暨第三届环境监测与预警技术大会,中国·重庆(中国环境科学学会等主办)
分会场主持人;作报告“中国天空地融合多尺度嵌套双碳数字孪生模拟器原型”
2023.11.04 学术论坛(议题:碳中和与温室气体排放),中国·桂林
主持上午第二单元;作报告“中国天空地双碳数字孪生模拟器”
(二)大会主旨报告与特邀报告
2026.07.19 2026草原生态保护国际产学研用合作会议,中国·呼和浩特(内蒙古农业大学主办)
大会主旨报告:“双碳数字孪生模拟器及应用”
2026.07.11 MDPI地球科学研讨会“空间地球科学:对地观测赋能韧性治理”,中国·北京(中国科学院空天信息创新研究院)
大会特邀嘉宾,作学术报告
2026.06.06 MDPI环境科学研讨会“双碳目标下的环境生态系统协同增效”,中国·北京(北京师范大学)
特邀报告:“中国省级大气污染控制与碳减排协同效应的系统评估”
2025.07.06 2025年生态文明贵阳国际论坛——环保新产品新技术发布会,中国·贵阳(贵州省科技厅、工信厅、贵州科学院主办)
技术发布报告:“碳同化反演系统及高精度温室气体监测仪器研制的关键技术与应用示范”(经专家评审入选10项重点发布技术)
2024.11.10 第四届环境监测与预警技术研讨会暨中国环境科学学会环境监测专业委员会2024年学术年会,中国·无锡
特邀报告:“中国天空地融合多尺度嵌套双碳数字孪生模拟器原型研发与应用”
2024.11.02 第四届中国温室气体监测研讨会,中国·南京(南京大学大气科学学院承办)
报告:“中国天空地融合多尺度嵌套双碳数字孪生模拟器原型”
2024.10.30–31 京津冀生态环境科技产业金融协同发展大会,中国·石家庄
双碳及绿色金融政策创新分会场报告:“中国天空地融合多尺度嵌套双碳数字孪生模拟器原型”
2024.09.29 中国生态大讲堂“生态系统碳汇监测技术与核算方法”高级研修班,中国·北京(中国生态系统研究网络CERN科学委员会)
特邀报告:“多尺度高精度温室气体监测与核算体系”
2024.08.19 中国生态大讲堂“温室气体高精度监测技术及应用”高级研讨班,中国·北京(中国生态系统研究网络CERN科学委员会)
特邀学术报告
2024.06.18 第十五次生态环境监测学术交流会,中国·合肥(中国环境监测总站主办)
分会场六报告:“中国空气污染控制与碳减排协同效应分析与协同监测思考”;分会场十二(生态环境质量预测与模拟)特邀报告:“中国天空地数据融合、多尺度嵌套双碳数字孪生模拟器及应用”
2023.07.23 第四届表层地球系统模拟与数据同化大讲堂,中国·天津(天津大学)
特邀讲座:“中国天空地融合、多尺度嵌套双碳数字孪生模拟器”
七、学术著作
1. 陈报章 著. 陆地表层系统模拟与分析. 北京: 科学出版社, 2017. 58万字, 390页.
2. 陈报章, 张慧芳 著. 全球碳同化系统及其应用研究. 北京: 科学出版社, 2015. 34.2万字, 169页.
3. 陈报章, 朴世龙, 张小曳, 刘竹. 碳循环与碳中和评估进展. 见: 应对气候变化报告(2021):碳达峰碳中和专辑(气候变化绿皮书). 2021: 40–64.
4. Chen B. Coupled terrestrial carbon and water dynamics in terrestrial ecosystems: Contributions of remote sensing. InTech, 2012.
5. Chen JM, Chen B, Higuchi K, Chan D, Huang L, Worthy D, Shashkov A. Usefulness of air CO₂ measurements at a continental site: Carbon cycle information at the landscape level near Fraserdale, Ontario. In: Report of the 12th WMO/IAEA Meeting of Experts on CO₂ Concentration and Related Tracer Measurement Techniques (Toronto, September 2003). WMO/GAW Report No. 161, 2005: 116–121.
八、代表性论文(15篇)
注:* 为通讯作者。
1. Chen B*, Chen F, Ciais P, et al. Challenges to achieve carbon neutrality of China by 2060: status and perspectives. Science Bulletin, 2022, 67(20): 2030–2035.
2. Chen B*, Zhang H, Wang T, Zhang X. An atmospheric perspective on the carbon budgets of terrestrial ecosystems in China: Progress and challenges. Science Bulletin, 2021, 66(17): 1713–1718.
3. Chen B*, Xu G, Coops NC, Ciais P, Innes JL, Wang G, Myneni RB, Wang T, Krzyzanowski J, Li Q, Cao L. Changes in vegetation photosynthetic activity trends across the Asia–Pacific region over the last three decades. Remote Sensing of Environment, 2014, 144: 28–41.
4. Chen B*, Coops NC, Fu D, Margolis HA, Amiro BD, Barr AG, Black TA, et al. Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis. Remote Sensing of Environment, 2012, 124: 742–755.
5. Chen B*, Kayiranga A, Ge M, Ciais P, Zhang H, Black A, Xiao X, Yuan W, Zeng Z, Piao S. Anthropogenic activities dominated tropical forest carbon balance in two contrary ways over the Greater Mekong Subregion in the 21st century. Global Change Biology, 2023, 29(12): 3421–3432.
6. Chen B*, Coops NC, Black TA, Jassal RS, Chen JM, Johnson M. Modeling to discern nitrogen fertilization impacts on carbon sequestration in a Pacific Northwest Douglas-fir forest in the first post-fertilization year. Global Change Biology, 2011, 17(3): 1442–1460.
7. Chen B*, Black TA, Coops NC, Krishnan P, Jassal R, Brümmer C, Nesic Z. Seasonal controls on interannual variability in carbon dioxide exchange of a near-end-of-rotation Douglas-fir stand in the Pacific Northwest, 1997–2006. Global Change Biology, 2009, 15(8): 1962–1981.
8. Chen B*, Chen JM, Huang L, Tans PP. Modeling dynamics of stable carbon isotopic exchange between a boreal forest ecosystem and the atmosphere. Global Change Biology, 2006, 12(10): 1842–1867.
9. Chen B*, Fang J, Piao S, Ciais P, Black TA, Wang F, Niu S, Zeng Z, Luo Y. A meta-analysis highlights globally widespread potassium limitation in terrestrial ecosystems. New Phytologist, 2024, 241(1): 154–165.
10. Chen B*, Chen JM. Diurnal, seasonal and interannual variability of carbon isotope discrimination at the canopy level in response to environmental factors in a boreal forest ecosystem. Plant, Cell & Environment, 2007, 30(10): 1223–1239.
11. Chen B*, Ke Y, Ciais P, et al. Inhibitive effects of recent exceeding air temperature optima of vegetation productivity and increasing water limitation on photosynthesis reversed global greening. Earth's Future, 2022, 10(11): e2022EF002788.
12. Chen B*, Coops NC, Fu D, Margolis HA, Amiro BD, Barr AG, Black TA, et al. Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling. Agricultural and Forest Meteorology, 2011, 151(1): 87–100.
13. Chen B*, Chen JM, Mo G, Black TA. Comparison of regional carbon flux estimates from CO₂ concentration measurements and remote sensing based footprint integration. Global Biogeochemical Cycles, 2008, 22(2): 148–161.
14. Chen B*. Comparison of the two most common phenology algorithms imbedded in land surface models. Journal of Geophysical Research: Atmospheres, 2022, 127(21): e2022JD037167.
15. Chen B*, Jiang Q. Antiquity of the earliest cultivated rice in central China and its implications. Economic Botany, 1997, 51(3): 307–310.
九、主持与参加的科研项目
(一)国内科研项目
|
序号 |
项目名称/ 资助来源与编号 |
经费(直接经费) |
起止年月 |
角色/状态 |
|
1 |
基于Yau-Yau非线性滤波算法与人工智能耦合技术的跨圈层多尺度碳同化反演系统研究 国家自然科学基金委员会,原创探索计划重点项目|编号:42450217(主申请)、42450242(联合申请) |
135万元(主申请)+125万元(联合申请),合计260万元 |
2025.01–2027.12 |
主持,在研 |
|
2 |
“面向可持续发展目标的徐州市减排降碳关键技术研究及重大科技示范”之课题一“徐州市碳排放调查及监测耦合技术研究” 江苏省科学技术厅,碳达峰碳中和科技创新专项重点项目|编号:BE2023855 |
500万元 |
2023.09–2027.08 |
主持,在研 |
|
3 |
我国碳中和行动有效性监测评估系统构建中关键科学问题研究 国家自然科学基金委员会,重点项目(碳中和专项)|编号:42141018 |
299万元 |
2022.01–2025.12 |
主持,执行期满 |
|
4 |
大规模人类扰动对陆表能水通量影响的优化模拟及区域气候效应研究——以京津冀地区为例 国家自然科学基金委员会,面上项目|编号:41977404 |
62万元 |
2020.01–2023.12 |
主持,结题 |
|
5 |
“高分辨率区域地球系统模式的研发及应用”之课题一“考虑人类活动的区域生态-生物地球化学模型研制” 科学技术部,国家重点研发计划|编号:2018YFA0606001 |
539万元 |
2018.05–2023.04 |
主持,结题 |
|
6 |
面向计算区域高分辨率光合与呼吸分量通量的碳同化技术研究 国家自然科学基金委员会,面上项目|编号:41771114 |
70万元 |
2018.01–2021.12 |
主持,结题 |
|
7 |
“高分辨率全球陆面过程模式研发与应用”之专题“土地利用与陆面物理扰动过程建模” 科学技术部,国家重点研发计划|编号:2017YFA0604302 |
100万元 |
2018.01–2021.12 |
主持,结题 |
|
8 |
多源卫星-地基联合碳同化技术研究 中国科学院,对外合作重点项目|编号:GJHZ1803 |
100万元 |
2018.01–2020.12 |
主持,结题 |
|
9 |
“陆地生态系统碳源汇监测技术及指标体系”之专题“植被-大气间碳同位素通量的连续观测技术和方法” 科学技术部,国家重点研发计划|编号:2017YFC0503904 |
60万元 |
2018.01–2020.12 |
主持,结题 |
|
10 |
星-空-地多源碳排放检测数据融合同化和系统集成研究 资源与环境信息系统国家重点实验室,自主创新项目|编号:O88RA901YA |
200万元 |
2016.01–2019.12 |
主持,结题 |
|
11 |
“国家生态系统观测评估技术系统集成研究与示范”之专题“中国陆地生态系统生产力和蒸散发模拟产品” 科学技术部,国家科技支撑计划|编号:2013KJZ0603805 |
50万元 |
2013.01–2016.12 |
主持,结题 |
|
12 |
中国涡度相关通量塔空间代表性评估与碳源/汇尺度扩展研究 国家自然科学基金委员会,面上项目|编号:41271116 |
75万元 |
2013.01–2016.12 |
主持,结题 |
|
13 |
“基于碳卫星的遥感定量监测应用技术研究”之课题“多源碳观测数据融合与同化技术研究”子课题“全球碳观测数据同化系统” 科学技术部,国家863计划重点项目|编号:2013AA122002 |
150万元 |
2013.01–2015.12 |
主持,结题 |
|
14 |
“应对气候变化的碳收支认证及相关问题”之子课题“基于GCM模式的全球同化系统” 中国科学院,战略性先导科技专项(A类)|编号:XDA05040403 |
300万元 |
2011.01–2015.12 |
主持,结题 |
|
15 |
景观和区域尺度陆地生态系统碳水耦合循环机理过程与固碳能力研究 国家自然科学基金委员会,面上项目|编号:41071059 |
45万元 |
2011.01–2013.12 |
主持,结题 |
|
16 |
“全球不同区域陆地生态系统碳源汇演变驱动机制及其优化计算研究”之专题“基于高塔CO₂浓度数据和遥感-模型同化的区域碳源/汇研究” 科学技术部,国家973计划|编号:2010CB950900 |
120万元 |
2010.06–2014.05 |
主持,结题 |
|
17 |
景观和区域尺度CO₂源汇分布以及陆地生态系统碳氮循环耦合过程对气候变化的响应研究 中国科学院,引才项目|编号:O9W90020ZZ |
200万元 |
2009.06–2014.05 |
主持,结题 |
|
18 |
“重大自然灾害风险损失等级评估与风险制图技术”之专题“风险损失等级评估研究” 科学技术部,国家科技支撑计划 |
180万元 |
2008.01–2011.12 |
主持,结题 |
注:“执行期满”指项目执行期已结束。
(二)国际科研项目(加拿大及国际组织资助)
|
序号 |
Project title / Funding agency |
经费 |
起止年月 |
角色 |
|
1 |
Adaptation of Asia-Pacific Forests to Climate Change Asia-Pacific Network for Sustainable Forest Management and Rehabilitation (APFNet) |
US$2,211,000 |
2012.05–2013.10 |
Investigator |
|
2 |
Flux footprint simulation for groundplot upscaling and verification of spatially-explicit ecosystem models for the Chibougamau (EOBS) Canadian Foundation for Climate and Atmospheric Sciences (CFCAS),Canadian Carbon Program (CCP) Add-on Project |
C$4,000 |
2008.05–2009.09 |
PI(唯一申请书撰写人) |
|
3 |
Canadian Carbon Program CFCAS |
— |
2007.03–2009.09 |
Participant |
|
4 |
Impact of nitrogen fertilization of coastal Douglas-fir stands in British Columbia on forest productivity, carbon sequestration and greenhouse gas emissions Natural Sciences and Engineering Research Council of Canada (NSERC) |
C$267,170 |
2007.01–2009.12 |
Investigator |
|
5 |
Nested global inversion for North America carbon sinks/sources with δ¹³CO₂ constraint CFCAS |
C$299,000 |
2006.07–2009.07 |
Key Investigator(主笔申请书) |
|
6 |
Tall tower measurements of trace gases and stable isotope in Saskatchewan CFCAS |
C$158,000 |
2005.09–2007.03 |
Co-PI(主笔申请书) |
|
7 |
Ecosystem-coupled, nested atmospheric inversion for carbon fluxes over Canada's landmass CFCAS |
C$389,065 |
2003.10–2006.10 |
Key Investigator(主笔申请书) |
|
8 |
Carbon balance estimation at landscape level from atmospheric CO₂ and isotope concentration measurements CFCAS |
C$148,160 |
2001.09–2004.01 |
Co-PI(主笔申请书) |
十、国家发明专利
1. 一种具有自动校正功能的地物光谱多角度连续观测系统
发明人:陈报章,尤元品;专利号:ZL 2021 1 1481144.X;状态:2023-07-14授权,CN 114112939 B
通过参考白板自动伸缩、风道吹扫和旋转云台模块,实现地物光谱多角度原位连续自动观测与自动定标。
2. 基于卫星-地基CO₂数据联合同化的碳源汇估测方法
发明人:陈报章,张慧芳;专利号:ZL 2015 1 0251620.7;状态:2018-08-21授权,CN 104834823 B
构建基于卫星柱浓度与地基站点观测的卫星-地基CO₂联合同化方法,克服了大气反演模型只能同化站点CO₂浓度的局限。
3. 同步反演高分辨率人为CO₂排放与自然CO₂通量的同化方法及系统
发明人:陈报章;专利号:ZL 2022 1 0642075.4;状态:2024-04-02授权,CN 114970184 B
实现高精度、高分辨率人为CO₂排放与自然CO₂通量的同步反演。
4. 碳同位素联合同化模型及甄别人为碳排放与自然碳通量区域同化系统的构建方法
发明人:陈报章,张慧芳;专利号:ZL 2022 1 0642009.7;状态:2024-04-05授权,CN 115186437 B
构建碳同位素联合同化的区域高分辨率同化系统,为精准评估碳中和行动有效性提供关键支撑。
5. 基于卫星柱浓度和4D-LETKF混合同化算法的碳卫星同化系统及其构建方法
发明人:陈报章,张慧芳;专利号:ZL 2022 1 0667098.0;状态:2024-04-09授权,CN 115876948 B
利用多源卫星柱浓度数据和4D-LETKF混合同化算法,获得全球2°×2.5°逐日优化CO₂通量及高精度三维CO₂浓度数据。
6. 一种城市人为碳排放与自然通量区分方法
发明人:张慧芳,陈报章,方君君;专利号:ZL 2025 1 1495747.3;状态:2026-03-27授权,CN 121352221 B
利用高时空分辨率区域碳同化系统获取城市CO₂浓度时空分布,采用集合均方根滤波同化得到最优净碳通量,并结合NO₂等示踪信息,实现城市人为碳排放与自然碳通量的实时定量区分。
7. 地理空间场景生成方法、生态调控方法、设备及程序产品
发明人:张慧芳,陈报章;专利号:ZL 2025 1 1489798.5;状态:2026-02-06授权,CN 120950621 B
基于城市区与非城市区地理空间单元构建地理空间场景,开展生态安全评估与场景数量、空间优化调控,提高生态调控精细度。
十一、发表论文目录
(一)SCI/国际期刊论文(共120篇,按年份倒序排列,序号自最早论文起编;* 为通讯作者)
2026
120. Xiao Q, Wang Y, Cai L, Chen B*. Vegetation carbon use efficiency across management zones in the Three-River Headwaters Region: Boundary-based comparison and climate–land-use attribution. Remote Sensing, 2026, 18(9): 1282. DOI: 10.3390/rs18091282
119. Alem BB, Chen B*, Zhang H, Iqbal U. Comparative review of global methane budget estimation: Top-down, bottom-up, and integrated approaches. Remote Sensing, 2026, 18(9): 1336. DOI: 10.3390/rs18091336
118. Guo M, Chen B, Gosling SN, Hamm NAS. A systematic assessment of provincial-level synergy between air pollution control and carbon mitigation in China. GIScience & Remote Sensing, 2026, 63(1): 2673654. DOI: 10.1080/15481603.2026.2673654
117. Gemechu TM, Zhang H, Sun J, Chen B*. A SIF-constrained Noah-MP land surface model for simulating water use efficiency and drought resilience: Application in a semi-arid basin. International Journal of Applied Earth Observation and Geoinformation, 2026, 152: 105460. DOI: 10.1016/j.jag.2026.105460
116. Fang J, Sun T, Zeng P, Zhang H, Chen B*. Enhancing CO₂ flux inversion accuracy in a coastal megacity: Impacts of land cover and topography in a regional carbon assimilation system. Environmental and Sustainability Indicators, 2026, 32: 101497. DOI: 10.1016/j.indic.2026.101497
115. Li Z, Guo S, Zhang D, Shi W, Sun J*, Chen B*. Topographic and human-pressure interactions in micro-island ecological quality: A Geodetector-based framework from Jiangsu, China. Journal of Marine Science and Engineering, 2026, 14(17): 1588. DOI: 10.3390/jmse14171588
2025
114. Liu S, Sun T, Ciais P, Zhang H, Fang J, Fang J, Gemechu TM, Chen B*. Assessing habitat quality on synergetic land-cover dataset across the Greater Mekong Subregion over the last four decades. Remote Sensing, 2025, 17(8): 1467. DOI: 10.3390/rs17081467
113. Gemechu TM, Zhang H, Sun J*, Chen B*. Assessing the impact of multi-decadal land use change on agricultural water–energy dynamics in the Awash Basin, Ethiopia: Insights from remote sensing and hydrological modeling. Agronomy, 2025, 15(12): 2804. DOI: 10.3390/agronomy15122804
112. Sun S, Song Z, Guo L, Duarte CM, Macreadie PI, Zhang Z, Fang Y, Chen B, et al. A spatial baseline of China's blue carbon stocks for improved monitoring, management, and protection. Earth's Future, 2025, 13(5): e2024EF005380. DOI: 10.1029/2024EF005380
2024
111. Dilawar A, Chen B*, Ul-Haq Z, Ali S, Sajjad MM, Junjun F, Gemechu TM, Guo M, Dilawar H, Zhang H, Zicheng Z. Corrigendum: Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan. Frontiers in Environmental Science, 2024, 12: 1408441.
110. Pan X, Xiong X, Sun T, Xue L, Zhang H, Fang J, Fang J, Zhang G, Xu H, Chen B*. Integration of surface-based and space-based atmospheric CO₂ measurements for improving carbon flux estimates using a new developed 3-GAS inversion model. Atmospheric Research, 2024, 307: 107477.
109. Wang F, Fang J, Yao L, Han D, Zhou Z, Chen B*. Applications of land surface model to economic and environmental-friendly optimization of nitrogen fertilization and irrigation. Heliyon, 2024, 10(6).
108. Sun S, Chen B*, Yan J, Van Zwieten L, Wang H, Dong J, Fu P, Song Z. Potential impacts of land use and land cover change (LUCC) and climate change on evapotranspiration and gross primary productivity in the Haihe River Basin, China. Journal of Cleaner Production, 2024, 476: 143729.
107. Guo M, Hamm NAS, Chen B*. Understanding air pollution reduction from the perspective of synergy with carbon mitigation in China from 2008 to 2017. Journal of Environmental Management, 2024, 367: 122017.
106. Fang J, Chen B*, Wang F, Li W, Zhang H, Fang J, Liu S, Zheng Z, Guo M, Niu S. Nitrogen, phosphorus, and potassium co-limitation in terrestrial ecosystems: A global meta-analysis. Plants, People, Planet, 2024. DOI: 10.1002/ppp3.10524
105. Fang J, Fang J, Chen B*, Zhang H, Dilawar A, Guo M, Liu S. Assessing spatial representativeness of global flux tower eddy-covariance measurements using data from FLUXNET2015. Scientific Data, 2024, 11(1): 569. DOI: 10.1038/s41597-024-03291-3
104. Gemechu TM, Chen B*, Zhang H, Fang J, Dilawar A. Enhancing transpiration estimates: A novel approach using SIF partitioning and the TL-LUE model. Remote Sensing, 2024, 16(21): 3924.
103. Chen B*, Fang J, Piao S, Ciais P, Black TA, Wang F, Niu S, Zeng Z, Luo Y. A meta-analysis highlights globally widespread potassium limitation in terrestrial ecosystems. New Phytologist, 2024, 241(1): 154–165.
102. Chen B*, Zhong S, Hamm NA, Liao H, Zhu T, Zhang H, Guo L, Hou K. Region-oriented simultaneously joint two-pollutant control strategies are required to substantially reduce deaths attributed to both PM2.5 and ozone pollution in China. Atmospheric Environment, 2024, 334: 120708.
2023
101. Sun S, Song Z, Chen B*, Wang Y, Ran X, Fang Y, Van Zwieten L, Hartley IP, Wang Y, Li Q, Wu L, Liu C, Wang H. Current and future potential soil organic carbon stocks of vegetated coastal ecosystems and their controls in the Bohai Rim Region, China. CATENA, 2023, 225: 107023. DOI: 10.1016/j.catena.2023.107023
100. Dilawar A, Chen B*, Ul-Haq Z, Amir M, Arshad A, Hassan M, Guo M, Shafeeque M, Fang J, Boyang S, Zhang H. Investigating the potential climatic effects of atmospheric pollution across China under the National Clean Air Action Plan. Remote Sensing, 2023, 15(8): 2084. DOI: 10.3390/rs15082084
99. Wang T, Wang X, Liu D, Lv G, Ren S, Ding J, Chen B, Qu J, Wang Y, Piao S, Chen F. The current and future of terrestrial carbon balance over the Tibetan Plateau. Science China Earth Sciences, 2023, 66(7): 1493–1503.
98. Hou K, Zhang L, Xu X, Yang F, Chen B, Hu W, Shu R. High ambient temperatures are associated with urban crime risk in Chicago. Science of the Total Environment, 2023, 856: 158846.
97. Guo M, Chen B*, Hamm N. Analysis of the spatiotemporal heterogeneity of drivers on province-level synergy of air pollution control and carbon mitigation in China. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023, X-1/W1: 509–516.
96. Fang J, Chen B*, Zhang H, Dilawar A, Guo M, Li C, Liu S, Gemechu TM, Zhang X. Global evaluation and intercomparison of XCO₂ retrievals from GOSAT, OCO-2, and TANSAT with TCCON. Remote Sensing, 2023, 15(20): 5073. DOI: 10.3390/rs15205073
95. Chen B*, Kayiranga A, Ge M, Ciais P, Zhang H, Black A, Xiao X, Yuan W, Zeng Z, Piao S. Anthropogenic activities dominated tropical forest carbon balance in two contrary ways over the Greater Mekong Subregion in the 21st century. Global Change Biology, 2023, 29(12): 3421–3432. DOI: 10.1111/gcb.16688
2022
94. Hou K, Zhang L, Xu X, Yang F, Chen B, Hu W. Ambient temperatures associated with increased risk of motor vehicle crashes in New York and Chicago. Science of the Total Environment, 2022, 830: 154731.
93. Kayiranga A, Chen B*, Wang F, et al. Spatiotemporal variation in gross primary productivity and their responses to climate in the great lakes region of sub-Saharan Africa during 2001–2020. Sustainability, 2022, 14(5): 2610.
92. Dilawar A, Chen B*, Ashraf A, et al. Development of a GIS based hazard, exposure, and vulnerability analyzing method for monitoring drought risk at Karachi, Pakistan. Geomatics, Natural Hazards and Risk, 2022, 13(1): 1700–1720.
91. Lu H, Qin Z, Lin S, Chen X, Chen B, He B, et al., Yuan W. Large influence of atmospheric vapor pressure deficit on ecosystem production efficiency. Nature Communications, 2022, 13(1): 1653.
90. Chen B*. Comparison of the two most common phenology algorithms imbedded in land surface models. Journal of Geophysical Research: Atmospheres, 2022, 127(21): e2022JD037167.
89. Chen B*, Ke Y, Ciais P, et al. Inhibitive effects of recent exceeding air temperature optima of vegetation productivity and increasing water limitation on photosynthesis reversed global greening. Earth's Future, 2022, 10(11): e2022EF002788.
88. Chen B*, Chen F, Ciais P, et al. Challenges to achieve carbon neutrality of China by 2060: Status and perspectives. Science Bulletin, 2022, 67(20): 2030–2035.
2021
87. Sun S, Du W, Song Z, Zhang D, Wu X, Chen B, Wu Y. Response of gross primary productivity to drought time-scales across China. Journal of Geophysical Research: Biogeosciences, 2021, 126(4): e2020JG005953. DOI: 10.1029/2020JG005953
86. Sun S, Che T, Gentine P, Chen Q, Wang L, Zhang Y, Chen B. Shallow groundwater inhibits soil respiration and favors carbon uptake in a wet alpine meadow ecosystem. Agricultural and Forest Meteorology, 2021, 297: 108254. DOI: 10.1016/j.agrformet.2020.108254
85. Measho S, Chen B, Pellikka P, Guo L, Zhang H, Cai D, Sun S, Kayiranga A, Sun X, Ge M. Assessment of vegetation dynamics and ecosystem resilience in the context of climate change and drought in the Horn of Africa. Remote Sensing, 2021, 13(9): 1668.
84. Kayiranga A, Chen B*, Zhang H, Nthangeni W, Measho S, Ndayisaba F. Spatially explicit and multiscale ecosystem shift probabilities and risk severity assessments in the greater Mekong subregion over three decades. Science of the Total Environment, 2021, 798: 149281.
83. Kayiranga A, Chen B*, Guo L, Measho S, Hirwa H, Liu S, Bofana J, Sun S, Wang F, Karamage F, Tuankrua V. Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992–2016 and 2020–2099 under different climate scenarios. Agricultural and Forest Meteorology, 2021, 310: 108662.
82. Li J, Chen B*. Optimal solar zenith angle definition for combined Landsat-8 and Sentinel-2A/2B data angular normalization using machine learning methods. Remote Sensing, 2021, 13(13): 2598. DOI: 10.3390/rs13132598
81. Guo L, Chen B*, Zhang H, Fang J. Prediction and source contribution analysis of PM2.5 using a combined FLEXPART model and Bayesian method over the Beijing-Tianjin-Hebei Region in China. Atmosphere, 2021, 12(7): 860. DOI: 10.3390/atmos12070860
80. Dilawar A, Chen B*, Trisurat Y, Tuankrua V, Arshad A, Hussain Y, Measho S, Guo L, Kayiranga A, Zhang H, Wang F. Spatiotemporal shifts in thermal climate in responses to urban cover changes: A case analysis of major cities in Punjab, Pakistan. Geomatics, Natural Hazards and Risk, 2021, 12(1): 763–793.
79. Dilawar A, Chen B*, Guo L, Liu S, Shafeeque M, Arshad A, Hussain Y, Qureshi MA, Kayiranga A, Wang F, et al. Evaluation the WRF model with different land surface schemes: Heat wave event simulations and its relation to Pacific variability over coastal region, Karachi, Pakistan. Sustainability, 2021, 13: 12608. DOI: 10.3390/su132212608
78. Dilawar A, Chen B*, Arshad A, Guo L, Ehsan MI, Hussain Y, Kayiranga A, Measho S, Zhang H, Wang F, Sun X, Ge M. Towards understanding variability in droughts in response to extreme climate conditions over the different agro-ecological zones of Pakistan. Sustainability, 2021, 13(12): 6910. DOI: 10.3390/su13126910
77. Chen B*, Zhang H, Wang T, Zhang X. An atmospheric perspective on the carbon budgets of terrestrial ecosystems in China: Progress and challenges. Science Bulletin, 2021, 66(17): 1713–1718.
2020
76. Wang F, Chen B*, Lin X, Zhang H. Solar-induced chlorophyll fluorescence as an indicator for determining the end date of the vegetation growing season. Ecological Indicators, 2020, 109: 105755.
75. Usoltsev VA, Chen B*, Shobairi SOR, Tsepordey IS, Chasovskikh VP, Anees SA. Patterns for Populus spp. stand biomass in gradients of winter temperature and precipitation of Eurasia. Forests, 2020, 11: 906.
74. Ge M, Chen B*. Characteristics of δD and δ¹⁸O of reclaimed mine soil water profile and its source water bodies in a coal mining subsidence area with high groundwater level—A case study from the Longdong coal mining subsidence area in Jiangsu Province, China. Water, 2020, 12: 274.
73. Guo L, Chen B*, Zhang H, Zhang Y. A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5. Environmental Science and Pollution Research, 2020, 27: 2165–2183.
72. Kayiranga A, Chen B*, Trisurat Y, Ndayisaba F, Sun S, Tuankrua V, et al., Bofana J. Water use efficiency-based multiscale assessment of ecohydrological resilience to ecosystem shifts over the continent of Africa during 1992–2015. Journal of Geophysical Research: Biogeosciences, 2020, 125(8): e2020JG005749.
71. Measho S, Chen B*, Pellikka P, Trisurat Y, Guo L, Sun S, Zhang H. Land use/land cover changes and associated impacts on water yield availability and variations in the Mereb-Gash River Basin in the Horn of Africa. Journal of Geophysical Research: Biogeosciences, 2020, 125: e2020JG005632. DOI: 10.1029/2020JG005632
70. Li J, Chen B*. Global revisit interval analysis of Landsat-8/-9 and Sentinel-2A/-2B data for terrestrial monitoring. Sensors, 2020, 20(22): 6631.
69. Sun S, Song Z, Chen X, Wang T, Zhang Y, Zhang D, Zhang H, Hao Q, Chen B*. Multimodel-based analyses of evapotranspiration and its controls in China over the last three decades. Ecohydrology, 2020, 13(3): e2195.
68. Sun S, Zhang Y, Song Z, Chen B*, Zhang Y, Yuan W, Chen C, Chen W, Ran X, Wang Y. Mapping coastal wetlands of the Bohai Rim at a spatial resolution of 10 m using multiple open-access satellite data and terrain indices. Remote Sensing, 2020, 12(24): 4114.
2019
67. Ma OZ, Wang G, Wang G, Wang L, Chen B, Mi F, Shrestha A, Eshpeter S, Pang Y, Liu S, Guo X. Technical efficiency analysis of the conversion of cropland to forestland program in Jiangxi, Shaanxi, and Sichuan. International Journal of Sustainable Development & World Ecology, 2019, 26(6): 535–546.
66. Wang G, Ma OZ, Wang L, Shrestha A, Chen B, Mi F, Liu S, Guo X, Eshpeter S, Innes JL. Local perceptions of the conversion of cropland to forestland program in Jiangxi, Shaanxi, and Sichuan, China. Journal of Forestry Research, 2019, 30: 1833–1847.
65. Measho S, Chen B*, Trisurat Y, Pellikka P, Guo L, Arunyawat S, Tuankrua V, Ogbazghi W, Yemane T. Spatio-temporal analysis of vegetation dynamics as a response to climate variability and drought patterns in the semiarid region, Eritrea. Remote Sensing, 2019, 11(6): 724.
64. Xu G, Chen B*. Generating a series of land covers by assimilating the existing land cover maps. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 147: 206–214.
63. Lu L, Chen B*, Guo L, Zhang H, Li Y. A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations—A case study of Xuzhou, China. Environmental Science and Pollution Research, 2019, 26: 8748–8757. DOI: 10.1007/s11356-019-04246-7
62. Lin X, Chen B*, Zhang H, Wang F, Chen J, Guo L, Kong Y. Effects of the temporal aggregation and meteorological conditions on the parameter robustness of OCO-2 SIF-based and LUE-based GPP models for croplands. Remote Sensing, 2019, 11(11): 1328. DOI: 10.3390/rs11111328
61. Jin H, Chen B*, Sun S, Zhang H, Measho S, Lin X, Guo L. Spatially explicit modeling of coupled water and carbon processes using a distributed ecohydrological model in the upper Heihe watershed, China. Water, 2019, 11(6): 1242. DOI: 10.3390/w11061242
60. Kong Y, Chen B*, Measho S. Spatio-temporal consistency evaluation of XCO₂ retrievals from GOSAT and OCO-2 based on TCCON and model data for joint utilization in carbon cycle research. Atmosphere, 2019, 10(7): 354.
2018
59. Guo L, Chen B*, Zhang H, Xu G, Lu L, Lin X, Kong Y, Wang F, Li Y. Improving PM2.5 forecasting and emission estimation based on the Bayesian optimization method and the coupled FLEXPART-WRF model. Atmosphere, 2018, 9(11): 428. DOI: 10.3390/atmos9110428
58. Sun S, Song Z, Wu X, Wang T, Wu Y, Du W, Che T, Huang C, Zhang X, Ping B, Lin X, Li P, Yang Y, Chen B*. Spatio-temporal variations in water use efficiency and its drivers in China over the last three decades. Ecological Indicators, 2018, 94(3): 292–304.
57. Li L, Chen B*, Zhang Y, Zhao Y, Xian Y, Xu G, Zhang H, Guo L. Retrieval of daily PM2.5 concentrations using nonlinear methods: A case study of the Beijing–Tianjin–Hebei Region, China. Remote Sensing, 2018, 10(12): 2006.
2017
56. Lin X, Chen B*, Chen J, Zhang H, Sun S, Xu G, Guo L, Ge M, Qu J, Li L, Kong Y. Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation. Agricultural and Forest Meteorology, 2017, 236: 22–35.
55. Sun S, Chen B*, Shao Q, Chen J, Liu J, Zhang XJ, Zhang H, Lin X. Modeling evapotranspiration over China's landmass from 1979 to 2012 using multiple land surface models: Evaluations and analyses. Journal of Hydrometeorology, 2017, 18(4): 1185–1203.
54. Yang D, Zhang H, Liu Y, Chen B*. Monitoring carbon dioxide from space: Retrieval algorithm and flux inversion based on GOSAT data and using CarbonTracker-China. Advances in Atmospheric Sciences, 2017, 34(8): 965–976.
53. Wang X, Tan K, Chen B*, Du P. Assessing the spatiotemporal variation and impact factors of net primary productivity in China. Scientific Reports, 2017, 7(1): 44415.
2016
52. Jiang F, Chen JM, Zhou L, Ju W, Zhang H, Machida T, Ciais P, Peters W, Wang H, Chen B, Liu L. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches. Scientific Reports, 2016, 6(1): 22130.
51. Kong Y, Zhang X, Sheng L, Chen B. Validation and application of multi-source altimeter wave data in China's offshore areas. Acta Oceanologica Sinica, 2016, 35: 86–96.
50. Zhang X, Chen B*, Fan H, Huang J, Zhao H. The potential use of multi-band SAR data for soil moisture retrieval over bare agricultural areas: Hebei, China. Remote Sensing, 2016, 8(1): 7.
49. Zhang X, Chen B*, Zhao H, Fan H, Zhu D. Soil moisture retrieval over a semiarid area by means of PCA dimensionality reduction. Canadian Journal of Remote Sensing, 2016, 42(2): 136–144.
48. Sun S, Chen B*, Ge M, Qu J, Che T, Zhang H, Lin X, Che M, Zhou Z, Guo L, Wang B. Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China. Ecological Modelling, 2016, 330: 1–15.
47. Sun S, Chen B*, Chen J, Che M, Zhang H. Comparison of remotely-sensed and modeled soil moisture using CLM4.0 with in situ measurements in the central Tibetan Plateau area. Cold Regions Science and Technology, 2016, 129: 31–44.
46. Chen B*, Xu G, Coops NC, Ciais P, Myneni RB. Satellite-observed changes in terrestrial vegetation growth trends across the Asia-Pacific region associated with land cover and climate from 1982 to 2011. International Journal of Digital Earth, 2016, 9(11): 1055–1076.
2015
45. Ferster CJ, Trofymow JA, Coops NC, Chen B, Black TA. Comparison of carbon-stock changes, eddy-covariance carbon fluxes and model estimates in coastal Douglas-fir stands in British Columbia. Forest Ecosystems, 2015, 2: 1–9.
44. Dou X, Chen B*, Black TA, Jassal RS, Che M. Impact of nitrogen fertilization on forest carbon sequestration and water loss in a chronosequence of three Douglas-fir stands in the Pacific Northwest. Forests, 2015, 6(6): 1897–1921.
43. Zhang H, Chen B*, Xu G, Yan J, Che M, Chen J, Fang S, Lin X, Sun S. Comparing simulated atmospheric carbon dioxide concentration with GOSAT retrievals. Science Bulletin, 2015, 60(3): 380–386.
2014
42. Xu G, Zhang H, Chen B*, Zhang H, Innes JL, Wang G, Yan J, Zheng Y, Zhu Z, Myneni RB. Changes in vegetation growth dynamics and relations with climate over China's landmass from 1982 to 2011. Remote Sensing, 2014, 6(4): 3263–3283.
41. Chen J, Zhang H, Liu Z, Che M, Chen B*. Evaluating parameter adjustment in the MODIS gross primary production algorithm based on eddy covariance tower measurements. Remote Sensing, 2014, 6(4): 3321–3348.
40. Xu G, Zhang H, Chen B*, Zhang H, Yan J, Chen J, Che M, Lin X, Dou X. A Bayesian based method to generate a synergetic land-cover map from existing land-cover products. Remote Sensing, 2014, 6(6): 5589–5613.
39. Che M, Chen B*, Zhang H, Fang S, Xu G, Lin X, Wang Y. A new equation for deriving vegetation phenophase from time series of leaf area index (LAI) data. Remote Sensing, 2014, 6(6): 5650–5670.
38. Che M, Chen B*, Innes JL, Wang G, Dou X, Zhou T, Zhang H, Yan J, Xu G, Zhao H. Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan Plateau from 1982 to 2011. Agricultural and Forest Meteorology, 2014, 189: 81–90.
37. Yan JW, Liu JY, Chen B*, Feng M, Fang SF, Xu G, Zhang HF, Che ML, Liang W, Hu YF, Kuang WH. Changes in the land surface energy budget in eastern China over the past three decades: Contributions of land-cover change and climate change. Journal of Climate, 2014, 27(24): 9233–9252.
36. Zhang HF, Chen B*, van der Laan-Luijkx IT, Machida T, Matsueda H, Sawa Y, Fukuyama Y, Langenfelds R, van der Schoot M, Xu G, Yan JW, et al. Estimating Asian terrestrial carbon fluxes from CONTRAIL aircraft and surface CO₂ observations for the period 2006–2010. Atmospheric Chemistry and Physics, 2014, 14(11): 5807–5824.
35. Zhang HF, Chen B*, van der Laan-Luijkx IT, Xu G, Yan JW, Zhou LX, Fukuyama Y, Tans PP, Peters W. Net terrestrial CO₂ exchange over China during 2001–2010 estimated with an ensemble data assimilation system for atmospheric CO₂. Journal of Geophysical Research: Atmospheres, 2014, 119(6): 3500–3515.
34. Chen B*, Zhang H, Coops NC, Fu D, Worthy DE, Xu G, Black TA. Assessing scalar concentration footprint climatology and land surface impacts on tall-tower CO₂ concentration measurements in the boreal forest of central Saskatchewan, Canada. Theoretical and Applied Climatology, 2014, 118: 115–132.
33. Fu D, Chen B*, Zhang H, Wang J, Black TA, Amiro BD, Bohrer G, Bolstad P, Coulter R, Rahman AF, Dunn A, McCaughey JH, Meyers T, Verma S. Estimating landscape net ecosystem exchange at high spatial–temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements. Remote Sensing of Environment, 2014, 141: 90–104.
32. Chen B*, Xu G, Coops NC, Ciais P, Innes JL, Wang G, Myneni RB, Wang T, Krzyzanowski J, Li Q, Cao L. Changes in vegetation photosynthetic activity trends across the Asia–Pacific region over the last three decades. Remote Sensing of Environment, 2014, 144: 28–41.
2013
31. Yan J, Chen B*, Feng M, Innes JL, Wang G, Fang S, Xu G, Zhang H, Fu D, Wang H, Yu G, Sun X. Research on land surface thermal-hydrologic exchange in southern China under future climate and land cover scenarios. Advances in Meteorology, 2013, 2013: 1–12.
30. Fu D, Chen B*, Wang J, Zhu X, Hilker T. An improved image fusion approach based on enhanced spatial and temporal the adaptive reflectance fusion model. Remote Sensing, 2013, 5(12): 6346–6360.
29. Chen J, Chen B*, Black TA, Innes JL, Wang G, Kiely G, Hirano T, Wohlfahrt G. Comparison of terrestrial evapotranspiration estimates using the mass transfer and Penman-Monteith equations in land surface models. Journal of Geophysical Research: Biogeosciences, 2013, 118(4): 1715–1731.
2012
28. Brümmer C, Black TA, Jassal RS, Grant NJ, Spittlehouse DL, Chen B, Nesic Z, Amiro BD, Arain MA, Barr AG, et al. How climate and vegetation type influence evapotranspiration and water use efficiency in Canadian forest, peatland and grassland ecosystems. Agricultural and Forest Meteorology, 2012, 153: 14–30.
27. Chen B*, Coops NC, Fu D, Margolis HA, Amiro BD, Barr AG, Black TA, Arain MA, Bourque CP-A, Flanagan LB, Lafleur PM, McCaughey JH, Wofsy SC. Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis. Remote Sensing of Environment, 2012, 124: 742–755.
2011
26. Ferster CJ, Trofymow JA, Coops NC, Chen B, Black TA, Gougeon FA. Determination of ecosystem carbon-stock distributions in the flux footprint of an eddy-covariance tower in a coastal forest in British Columbia. Canadian Journal of Forest Research, 2011, 41(7): 1380–1393.
25. Wang Z, Grant RF, Arain MA, Chen BN, Coops NC, Hember R, Kurz WA, Price DT, Stinson G, Trofymow JA, Yeluripati J, Chen B. Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison. Ecological Modelling, 2011, 222(17): 3236–3249.
24. Chen B*, Coops NC, Fu D, Margolis HA, Amiro BD, Barr AG, Black TA, Arain MA, Bourque CP-A, Flanagan LB, Lafleur PM, McCaughey JH, Wofsy SC. Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling. Agricultural and Forest Meteorology, 2011, 151(1): 87–100.
23. Chen B*, Coops NC, Black TA, Jassal RS, Chen JM, Johnson M. Modeling to discern nitrogen fertilization impacts on carbon sequestration in a Pacific Northwest Douglas-fir forest in the first post-fertilization year. Global Change Biology, 2011, 17(3): 1442–1460.
2010
22. Chen B*, Ge Q, Fu D, Yu G, Sun X, Wang S, Wang H. A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling. Biogeosciences, 2010, 7(9): 2943–2958.
2009
21. van Gorsel E, Delpierre N, Leuning R, Black A, Munger JW, Wofsy S, Aubinet M, Feigenwinter C, Beringer J, Bonal D, Chen B, et al. Estimating nocturnal ecosystem respiration from the vertical turbulent flux and change in storage of CO₂. Agricultural and Forest Meteorology, 2009, 149(11): 1919–1930.
20. Krishnan P, Black TA, Jassal RS, Chen B, Nesic Z. Interannual variability of the carbon balance of three different-aged Douglas-fir stands in the Pacific Northwest. Journal of Geophysical Research: Biogeosciences, 2009, 114(G4).
19. Chen B*, Coops NC. Understanding of coupled terrestrial carbon, nitrogen and water dynamics—An overview. Sensors, 2009, 9(11): 8624–8657.
18. Chen B*, Black TA, Coops NC, Hilker T, Trofymow T, Morgenstern K. Assessing tower flux footprint climatology and scaling between remotely sensed and eddy covariance measurements. Boundary-Layer Meteorology, 2009, 130(2): 137–167.
17. Chen B*, Black TA, Coops NC, Krishnan P, Jassal R, Brümmer C, Nesic Z. Seasonal controls on interannual variability in carbon dioxide exchange of a near-end-of-rotation Douglas-fir stand in the Pacific Northwest, 1997–2006. Global Change Biology, 2009, 15(8): 1962–1981.
2008
16. Hilker T, Coops NC, Hall FG, Black TA, Chen B, Krishnan P, Wulder MA, Sellers PJ, Middleton EM, Huemmrich KF. A modeling approach for upscaling gross ecosystem production to the landscape scale using remote sensing data. Journal of Geophysical Research: Biogeosciences, 2008, 113(G3).
15. Jassal RS, Black TA, Chen B, Roy R, Nesic Z, Spittlehouse DL, Trofymow JA. N₂O emissions and carbon sequestration in a nitrogen-fertilized Douglas fir stand. Journal of Geophysical Research: Biogeosciences, 2008, 113(G4).
14. Chen B*, Chen JM, Mo G, Black TA. Comparison of regional carbon flux estimates from CO₂ concentration measurements and remote sensing based footprint integration. Global Biogeochemical Cycles, 2008, 22(2).
2007
13. Chen JM, Chen B, Tans P. Deriving daily carbon fluxes from hourly CO₂ mixing ratios measured on the WLEF tall tower: An upscaling methodology. Journal of Geophysical Research: Biogeosciences, 2007, 112(G1).
12. Chen B*, Chen JM, Mo G, Yuen C-W, Margolis H, Higuchi K, Chan D. Modeling and scaling coupled energy, water, and carbon fluxes based on remote sensing: An application to Canada's landmass. Journal of Hydrometeorology, 2007, 8(2): 123–143.
11. Chen B*, Chen JM. Diurnal, seasonal and interannual variability of carbon isotope discrimination at the canopy level in response to environmental factors in a boreal forest ecosystem. Plant, Cell & Environment, 2007, 30(10): 1223–1239.
10. Chen B*, Chen JM, Ju W. Remote sensing-based ecosystem–atmosphere simulation scheme (EASS)—Model formulation and test with multiple-year data. Ecological Modelling, 2007, 209(2): 277–300.
2006
9. Ju W, Chen JM, Black TA, Barr AG, Liu J, Chen B. Modelling multi-year coupled carbon and water fluxes in a boreal aspen forest. Agricultural and Forest Meteorology, 2006, 140(1): 136–151.
8. Chen JM, Chen B, Higuchi K, Liu J, Chan D, Worthy D, Tans P, Black A. Boreal ecosystems sequestered more carbon in warmer years. Geophysical Research Letters, 2006, 33(10).
7. Chen B*, Chen JM, Huang L, Tans PP. Simulating dynamics of δ¹³C of CO₂ in the planetary boundary layer over a boreal forest region: Covariation between surface fluxes and atmospheric mixing. Tellus B, 2006, 58(5): 537–549.
6. Chen B*, Chen JM, Huang L, Tans PP. Modeling dynamics of stable carbon isotopic exchange between a boreal forest ecosystem and the atmosphere. Global Change Biology, 2006, 12(10): 1842–1867.
2005
5. Higuchi K, Shashkov A, Chan D, Saigusa N, Murayama S, Yamamoto S, Kondo H, Chen JM, Liu J, Chen B. Simulations of seasonal and inter-annual variability of gross primary productivity at Takayama with BEPS ecosystem model. Agricultural and Forest Meteorology, 2005, 134(1): 143–150.
4. Chen B*, Chen JM, Worthy DEJ. Interannual variability in the atmospheric CO₂ rectification over a boreal forest region. Journal of Geophysical Research: Atmospheres, 2005, 110(D16).
2004
3. Chen B*, Chen JM, Liu J, Chan D, Higuchi K, Shashkov A. A vertical diffusion scheme to estimate the atmospheric rectifier effect. Journal of Geophysical Research: Atmospheres, 2004, 109.
1997
2. Chen B*, Jiang Q. Antiquity of the earliest cultivated rice in central China and its implications. Economic Botany, 1997, 51(3): 307–310.
1995
1. Chen B*, Zhang J, Lu H. Discovery of rice phytolith in the Neolithic site at Jiahu in Henan Province and its significance. Chinese Science Bulletin, 1995, 40(14): 1186–1191.
(二)中文核心期刊论文(共52篇)
1. 郑辉, 丹利, 符淙斌, 杨宗良, 赵得明, 冯锦明, 徐忠峰, 韩志伟, 王淑瑜, 吴涧, 杨清华, 汤剑平, 邹立维, 袁星, 陈报章, 等. 区域地球系统集成模式(RIEMS)的研发进展与未来展望[J]. 科学通报, 2026. DOI: 10.1360/CSB-2025-5854.
2. 曹钰, 李如仁, 张慧芳, 李会亚, 方君君, 陈报章. GOSAT与TROPOMI的甲烷柱浓度(XCH₄)对比分析[J]. 中国环境科学, 2025, 45(3): 1185–1197.
3. 徐辉, 陈报章, 方君君, 郑子铖, 江净泓, 张慧芳, 王然. 复杂地形区域高精度碳监测网络选址与评估——以重庆市为例[J]. 地理研究, 2025, 44(7): 1925–1940. DOI: 10.11821/dlyj020240100
4. 陈美玲, 袁国富, 陈报章*. 耦合叶肉导度的陆面过程模型最大叶肉导度参数的敏感性分析[J]. 生态学报, 2024, 44(1): 271–282.
5. 江净泓, 陈报章*. 曼谷地区干旱灾害风险分布及变化趋势分析[J]. 热带地理, 2024, 44(4).
6. 孙天乐, 方君君, 潘晓峰, 陈报章*. 滨海城市高精度温室气体监测网科学选址研究——以深圳市为例[J]. 环境科学学报, 2023, 43(11): 228–236.
7. 汪涛, 王晓昳, 陈报章*, 等. 青藏高原碳汇现状及其未来趋势[J]. 中国科学: 地球科学, 2023, 53(7): 1506–1516.
8. 宋柏泱, 陈报章*. 巴基斯坦瓜达尔港地区干旱灾害风险评估[J]. 地理研究, 2022, 41(8): 2251–2264.
9. 王菲, 陈报章*, 陈婧, 等. 华北平原冬小麦—夏玉米轮作区DLM与CLM5模型模拟对比研究[J]. 地理科学进展, 2022, 41(2): 289–303.
10. 林晓凤, 陈报章*. DLM-FvCB模型光合能力关键参数季节性参数化方案及模拟效果评估[J]. 地理科学, 2022, 42(7): 1260–1271.
11. 陈报章*, 渠俊峰, 葛梦玉, 等. 徐州市水土流失时空变化研究[J]. 地球信息科学学报, 2018, 20(11): 1622–1630.
12. 丁愫, 陈报章*, 王瑾, 等. 基于决策树的统计预报模型在臭氧浓度时空分布预测中的应用研究[J]. 环境科学学报, 2018, 38(8): 3229–3242.
13. 孙少波, 陈报章*, 车涛, 等. 青藏高原季节性冻土湿度模拟及参数优化——以黑河上游为例[J]. 高原气象, 2017, 36(3): 643–656.
14. 张景文, 咸月, 陈报章*. 南昌市移动源排放清单研究[J]. 环境科学学报, 2017, 37(5): 1855–1863.
15. 张景文, 陈报章*. 基于同位素分析研究禹城夏玉米水分来源[J]. 水土保持学报, 2017, 31(4): 99–104.
16. 咸月, 赵有政, 王文斌, 陈报章*. 基于GloBEIS模型的徐州市天然源VOCs排放量估算[J]. 环境科技, 2017, 30(5): 6–11.
17. 丁愫, 陈报章*. 城市医疗设施空间分布合理性评估[J]. 地球信息科学学报, 2017, 19(2): 185–196.
18. 张婷慧, 陈报章*, 王瑾, 等. 基于CAMx的徐州市2016年冬季PM2.5污染过程及来源分析[J]. 环境科学学报, 2017, 37(10): 3918–3925.
19. 张祥, 陈报章*, 赵慧, 等. 基于时序Sentinel-1A数据的农田土壤水分变化检测分析[J]. 遥感技术与应用, 2017, 32(2): 338–345.
20. 王冰洋, 陈报章*, 孙少波, 周子渊, 杨志青, 刘禹淇, 张景文. 山东省禹城市夏玉米生长期水分利用特征分析[J]. 水土保持学报, 2016(6): 153–161.
21. 刘禹淇, 陈报章*, 郭立峰, 刘莹. 南昌市固定燃烧点源大气污染物排放清单及特征[J]. 环境科学学报, 2016.
22. 杨志青, 陈报章*, 查天山, 贾昕. 城市绿地生态系统多角度高光谱光化学反射植被指数与光能利用率的关系[J]. 植物生态学报, 2016(10): 1077–1089.
23. 田向军, 陈报章*, 王雪梅, 张丽, 蔡兆男. 多源碳观测数据融合与同化技术研究2014年度报告[J]. 科技资讯, 2016(25): 183.
24. 姚炳楠, 陈报章*, 车明亮. 鄱阳湖流域植被总初级生产力时空变化特征及其气候驱动因子分析[J]. 植物学报, 2016(5): 639–649.
25. 刘莹, 陈报章*, 陈婧, 许光. 千烟洲森林生态系统蒸散发模拟模型的适用性[J]. 植物学报, 2016, 51(2): 226–234.
26. 徐博轩, 陈报章*, 许光, 陈婧, 车明亮. 基于叶面积指数估算植被总初级生产力[J]. 生态学报, 2015(12): 3546–3555.
27. 张慧芳, 陈报章*, 许光, 严建武, 车明亮, 陈婧, 房世峰, 林晓凤, 孙少波. 大气反演模型模拟的CO₂浓度与GOSAT卫星观测值的对比[J]. 科学通报, 2015(13): 1235.
28. 王小辉, 陈报章*, 张慧芳. 省级碳清单不确定性分析——基于陕西省2000—2012年碳排放测算[J]. 干旱区资源与环境, 2015(7): 7–11.
29. 车明亮, 陈报章*, 王瑛, 郭祥云. 全球植被动力学模型研究综述[J]. 应用生态学报, 2014, 25(1): 263–271.
30. 严建武, 陈报章*, 房世峰, 张慧芳, 付东杰, 薛晔. 植被指数对旱灾的响应研究——以中国西南地区2009—2010年特大干旱为例[J]. 遥感学报, 2012(4): 720–737.
31. 薛晔, 陈报章*, 黄崇福, 严建武. 多灾种综合风险评估软层次模型[J]. 地理科学进展, 2012(3): 353–360.
32. 陈报章*, 仲崇庆. 自然灾害风险损失等级评估的初步研究[J]. 灾害学, 2010, 25(3): 1–5.
33. 陈报章*. 河南贾湖遗址植硅石组合及其在环境考古学上的意义[J]. 微体古生物学报, 2001, 18(2): 101–106.
34. 陈报章*. 河南舞阳贾湖遗址八千年前稻作遗存的发现及古文化生态学研究(摘要)[J]. 农业考古, 1998, 18(1): 400.
35. 陈报章*. 水稻硅酸体的鉴定及在稻作起源与传播研究中的应用(摘要)[J]. 农业考古, 1998, 18(1): 401.
36. 陈报章*. 中国栽培稻究竟起源于何时何地——对河南贾湖遗址发现8000年前栽培稻遗存的思考[J]. 农业考古, 1997, 17(1): 59–62.
37. 陈报章*. 植硅石分析与栽培稻起源研究[J]. 作物学报, 1997, 48(1): 116–120.
38. 陈报章*. 苏北弶港地区埋藏潮沙体的发现与现代辐射状潮流沙脊群的成因[J]. 海洋通报, 1996, 15(5): 47–52.
39. 陈报章*, 张居中, 吕厚远. 河南贾湖新石器时代遗址水稻硅酸体的发现及意义[J]. 科学通报, 1995, 40(4): 339–342.
40. 陈报章*, 王象坤. 水稻颖壳植硅石与稻种起源研究[J]. 科学通报, 1995, 40(15): 1438.
41. 陈报章*, 李从先, 业治铮. 黄海南部陆区全新世埋藏潮沙体[J]. 地理学报, 1995, 50(5): 447–458.
42. 陈报章*, 李从先, 业治铮. 冰后期长江三角洲北翼沉积及其环境演变[J]. 海洋学报(中文版), 1995, 17(1): 64–75.
43. 陈报章*, 王象坤. 水稻颖壳硅石的初步研究及其意义[J]. 中国水稻科学, 1995, 9(4): 242–245.
44. 陈报章*, 王象坤, 张居中. 舞阳贾湖新石器时代遗址炭化稻米的发现、形态学研究及意义[J]. 中国水稻科学, 1995, 15(3): 94–95.
45. 陈报章*. 河南贾湖遗址出土炭化稻米与初步研究[J]. 农业考古, 1995, 15(3): 94–95.
46. 陈报章*. 植物硅酸体分析在农业考古中的应用[J]. 农业考古, 1995, 15(3): 24–26, 59.
47. 陈报章*, 李从先, 业治铮. 南黄海南部陆区全新世沉积研究[J]. 沉积学报, 1994, 12(2): 63–71.
48. 陈报章*. 江苏省海洋国土资源与综合开发[J]. 资源科学, 1994, 16(6): 47–54.
49. 陈报章*, 李从先, 业治铮. 黄海南部陆区冰后期沉积环境的演变[J]. 海洋科学, 1993, 17(4): 58–63.
50. 陈报章*. 江苏省地方性氟中毒流行病与区域环境[J]. 地域研究与开发, 1993, 17(4): 58–63.
51. 陈报章*, 李从先, 业治铮. 长江三角洲北翼全新统底界和“硬粘土层”的讨论[J]. 海洋地质与第四纪地质, 1991, 12(2): 39–48.
52. 张明书, 刘健, 李浩, 陈报章. 海南岛周缘珊瑚礁的基本特征和成礁时代[J]. 海洋地质与第四纪地质, 1990, 11(2): 27–45.
十二、研究生招生信息
• 招生专业:地图学与地理信息系统
• 招生方向:数据-模型同化、碳同化系统
• 联系方式:baozhang.chen@igsnrr.ac.cn;010-64889574