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An updated vegetation map of China(1:1000000)

Science Bulletin 2020年第13期65卷 1125-1136,M0004页

作者： Yanjun Su Qinghua Guo Tianyu Hu Hongcan Guan Shichao Jin Shazhou An Xuelin Chen Ke Guo Zhanqing Hao Yuanman Hu Yongmei Huang Mingxi Jiang Jiaxiang Li Zhenji Li Xiankun Li Xiaowei Li Cunzhu Liang Renlin Liu Qing Liu Hongwei Ni Shaolin Peng Zehao Shen Zhiyao Tang Xingjun Tian Xihua Wang Renqing Wang Zongqiang Xie Yingzhong Xie Xiaoniu Xu Xiaobo Yang Yongchuan Yang Lifei Yu Ming Yue Feng Zhang Keping Ma State Key Laboratory of vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China University of Chinese Academy of Sciences Beijing 100049China College of Pratacultural and Environmental Sciences Xinjiang Agricultural UniversityUrumqi 830052China College of Life Science Northwest Normal UniversityLanzhou 730070China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China College of Resources Science and Technology Beijing Normal UniversityBeijing 100875China Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of SciencesWuhan 430074China College of Forestry Central South University of Forestry&TechnologyChangsha 410004China College of Life Sciences Xiamen UniversityXiamen 361005China Guangxi Institute of Botany Chinese Academy of SciencesGuilin 541006China Agricultural College Ningxia UniversityYinchuan 750021China School of Ecology and Environment Inner Mongolia UniversityHohhot 010000China Institute of Navel Orange School of Life and Environmental ScienceGannan Normal UniversityGanzhou 341000China Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization Chengdu Institute of BiologyChinese Academy of SciencesChengdu 610041China Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of BiologyChinese Academy of SciencesChengdu 610041China Institute of Natural Resources and Ecology Heilongjiang Academy of SciencesHarbin 150040China State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources School of Life SciencesSun Yat-sen UniversityGuangzhou 510275China Institute of Ecology College of Urban and Environmental Science and Key Laboratory of Earth Surface ProcessesPeking UniversityBeijing 100871China School of Life Sciences Nanjing UniversityNanjing 210023China Zhejiang Tiantong Forest Ecosystem National Observation and Research St

vegetation maps are important sources of information for biodiversity conservation,ecological studies,vegetation management and restoration,and national strategic decision *** current vegetation map of China(1:1000000)was generated by a team of more than 250 scientists in an effort that lasted over 20 years starting in the ***,the vegetation distribution of China has experienced drastic changes during the rapid development of China in the last three decades,and it urgently needs to be updated to better represent the distribution of current vegetation ***,we describe the process of updating the vegetation map of China(1:1000000)generated in the 1980s using a‘‘crowdsourcing-change detection-classification-expert knowledge"vegetation mapping strategy.A total of 203,024 field samples were collected,and 50 taxonomists were involved in the updating *** resulting updated map has 12 vegetation type groups,55 vegetation types/subtypes,and 866 vegetation formation/sub-formation *** overall accuracy and kappa coefficient of the updated map are 64.8%and 0.52 at the vegetation type group level,61%and 0.55 at the vegetation type/subtype level and 40%and 0.38 at the vegetation formation/sub-formation *** compared to the original map,the updated map showed that 3.3 million km^2 of vegetated areas of China have changed their vegetation type group during the past three decades due to anthropogenic activities and climatic *** expect this updated map to benefit the understanding and management of China’s terrestrial ecosystems.

关键词： vegetation map Crowdsource Remote sensing Update

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vegetation mapping for Regional Ecological Research and Management: A Case of the Loess Plateau in China

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Chinese Geographical Science 2020年第3期30卷 410-426页

作者： LIU Yuanxin LYU Yihe BAI Yingfei ZHANG Buyun TONG Xiaolin State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of Sci-encesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China The Grain for Green Project Management Office of Yan'an Municipality Yan'an 716000China The Grain for Green Project Management Office of Ansai Dis-trict Yan'an 717400China

vegetation maps are fundamental for regional-scale ecological research. However, information is often not sufficiently up to date for such research. The Loess Plateau is a key area for vegetation restoration projects and a suitable area for regional ecological research. To carry out regional vegetation mapping based on the principles of hierarchical classification, object-oriented methods, visual interpretation, and accuracy assessment, this study integrated land cover, high-resolution remote sensing images, background environmental data, bioclimate zoning data, and field survey data from the Loess Plateau. To further clarify the implications of vegetation mapping, we compared the deviation of the 2015 vegetation map of the Loess Plateau(VMLP) and the widely used vegetation map of China(VMC)(1 : 1 000 000) for the expressed vegetation information and the evaluation of ecosystem services. The results indicated that 1) the vegetation of the Loess Plateau could be divided into 9 vegetation type groups and 18 vegetation types with classification accuracies of 87.76% and 83.97%, respectively;2) the distribution of vegetation had obvious zonal regularity;3) a deviation of 29.56 × 10^4 km^2 occurred when the vegetation coverage area was quantified with the VMC;4) the vegetation classification accuracy affected the ecosystem service assessment, the total water yield of the Loess Plateau calculated by the VMC and other required parameters was overestimated by 2.2 × 10^6 mm in 2015. Because vegetation mapping is a basic and important activity, that requires greater attention, this study provides supporting data for subsequent multivariate vegetation mapping and vegetation management for conservation and restoration.

关键词： vegetation map Loess Plateau spatial pattern vegetation classification ecosystem service

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mapping the vegetation distribution of the permafrost zone on the Qinghai-Tibet Plateau

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Journal of Mountain Science 2016年第6期13卷 1035-1046页

作者： WANG Zhi-wei WANG Qian ZHAO Lin WU Xiao-dong YUE Guang-yang ZOU De-fu NAN Zhuo-tong LIU Guang-yue PANG Qiang-qiang FANG Hong-bing WU Tong-hua SHI Jian-zong JIAO Ke-qin ZHAO Yong-hua ZHANG Le-le Guizhou Institute of Prataculture Guizhou Academy of Agricultural Sciences Guiyang 550006 China Cryosphere Research Station on the Qinghai-Tibet Plateau State Key Laboratory of Cryosheric Sciences Cold and Arid Regions Environmental and Engineer Research Institute Chinese Academy of Sciences Lanzhou 730000 China Graduate University of Chinese Academy of Science Beijing 10049 China

In this paper, an updated vegetation map of the permafrost zone in the Qinghai-Tibet Plateau （QTP） was delineated. The vegetation map model was extracted from vegetation sampling with remote sensing （RS） datasets by decision tree method. The spatial resolution of the map is 1 km×1 kin, and in it the alpine swamp meadow is firstly distinguished in the high-altitude areas. The results showed that the total vegetated area in the permafrost zone of the QTP is 1,201,751 km2. In the vegetated region, 50,260 km2 is the areas of alpine swamp meadow, 583,909 km2 for alpine meadow, 332,754 km2 for alpine steppe, and 234,828 km2 for alpine desert. This updated vegetation map in permafrost zone of QTP could provide more details about the distribution of alpine vegetation types for studying the vegetation mechanisms in the land surface processes of highaltitude areas.

关键词： High-altitude areas Alpine vegetationtype vegetation map Alpine swamp meadow MODIS Decision tree

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Application of aerial remote sensing in the study on vegetation in Guangzhou,China

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Journal of Environmental Sciences 1995年第1期7卷 107-114页

作者： Chen Shijie He Shigan Yang Jielin Wang Liangping (Department of Geography,Guangzhou Normal College,Guanezhou 510400,China) China

ＡｐｐｌｉｃａｔｉｏｎｏｆａｅｒｉａｌｒｅｍｏｔｅｓｅｎｓｉｎｇｉｎｔｈｅｓｔｕｄｙｏｎｖｅｇｅｔａｔｉｏｎｉｎＧｕａｎｇｚｈｏｕ，ＣｈｉｎａＣｈｅｎＳｈｉｊｉｅ；ＨｅＳｈｉｇａｎ；ＹａｎｇＪｉｅｌｉｎ；ＷａｎｇＬｉ... 详细信息

ＡｐｐｌｉｃａｔｉｏｎｏｆａｅｒｉａｌｒｅｍｏｔｅｓｅｎｓｉｎｇｉｎｔｈｅｓｔｕｄｙｏｎｖｅｇｅｔａｔｉｏｎｉｎＧｕａｎｇｚｈｏｕ，ＣｈｉｎａＣｈｅｎＳｈｉｊｉｅ；ＨｅＳｈｉｇａｎ；ＹａｎｇＪｉｅｌｉｎ；ＷａｎｇＬｉａｎｇｐｉｎｇ（Ｄｅｐａｒｔｍｅｎ...

关键词： aerial remote sensing vegetation classification vegetation map ecological evaluation.

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中国植被图(1:1000000)现实性更新（英文）

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Science Bulletin 2020年第13期65卷 1125-1136页

作者：苏艳军郭庆华胡天宇关宏灿金时超安沙舟陈学林郭柯郝占庆胡远满黄永梅江明喜李家湘李振基李先琨李小伟梁存柱刘仁林刘庆倪宏伟彭少麟沈泽昊唐志尧田兴军王希华王仁卿谢宗强谢应忠徐小牛杨小波杨永川喻理飞岳明张峰马克平 State Key Laboratory of vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences University of Chinese Academy of Sciences College of Pratacultural and Environmental Sciences Xinjiang Agricultural University College of Life Science Northwest Normal University Key Laboratory of Forest Ecology and Management Institute of Applied Ecology Chinese Academy of Sciences College of Resources Science and Technology Beijing Normal University Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden Chinese Academy of Sciences College of Forestry Central South University of Forestry & Technology College of Life Sciences Xiamen University Guangxi Institute of Botany Chinese Academy of Sciences Agricultural College Ningxia University School of Ecology and Environment Inner Mongolia University Institute of Navel Orange School of Life and Environmental Science Gannan Normal University Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization Chengdu Institute of Biology Chinese Academy of Sciences Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Institute of Natural Resources and Ecology Heilongjiang Academy of Sciences State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources School of Life Sciences Sun Yat-sen University Institute of Ecology College of Urban and Environmental Science and Key Laboratory of Earth Surface Processes Peking University School of Life Sciences Nanjing University Zhejiang Tiantong Forest Ecosystem National Observation and Research Station School of Ecological and Environmental Sciences East China Normal University School of Life Sciences Shandong University Department of Forest Science Anhui Agricultural University Institute of Tropical Agriculture and Forestry College of Material and Chemical Engineering Hainan University Key Laboratory of Three Gorges Reservoir Region’s Eco-Environment

植被图是生物多样性保护、生态学研究、植被管理与恢复和国家决策的重要辅助信息源.我国上一代植被图,即中国植被图(1:1000000),是由逾250位生态学家组成的团队自20世纪80年代花了20多年完成的.但是,随着过去30多年间的快速发展,我国的... 详细信息

植被图是生物多样性保护、生态学研究、植被管理与恢复和国家决策的重要辅助信息源.我国上一代植被图,即中国植被图(1:1000000),是由逾250位生态学家组成的团队自20世纪80年代花了20多年完成的.但是,随着过去30多年间的快速发展,我国的植被分布与植被类型发生了剧烈的变化,对上一代植被图进行现实性更新已成为迫在眉睫的需求.本文使用了一种"众源采集—变化检测—遥感分类—专家审核"的策略尝试对中国植被图(1:1000000)进行现实性更新.本研究共收集了203024条地面调查数据,并有50余位植被生态学家参与到专家审核的工作中.更新后的植被图包含12个植被型组、55个植被(亚)型和866个(亚)群系类别,精度在植被型组、植被(亚)型和(亚)群系水平上分别为64.8%, 61%和40%.与上一代植被图相比,过去30多年间的人类活动和气候变化导致了我国约330万km2植被类型发生了变化.更新后的植被图将会有助于理解和管理我国的陆地生态系统.

关键词： vegetation map Crowdsource Remote sensing Update

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