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vegetation classification of East China with multi-temporal NOAA-AVHRR data

Frontiers in Biology 2006年第3期1卷 303-309页

作者： LI Junxiang DA Liangjun WANG Yujie SONG Yongchang Department of Environmental Science East China Normal UniversityShanghai 200062China

East China lies in the subtropical monsoon cli-matic zone and is dominated by subtropical evergreen broad-leaved forests,a unique vegetation type mainly dis-tributed in East Asia with the largest distribution in *** is important to be able to monitor and estimate forest biomass and production,regional carbon storage,and global climate change impacts on these important vegetation *** this paper,we used coarse resolution remote sensing data to identify the vegetation types in East China and developed a map of the spatial distribution of vegetation types in this *** maximum normalized difference vegeta-tion index(NDVI)composite images(acquisition time span of 7 months from February to August),which were derived from 10 days National Oceanographic and Atmospheric Administration(NOAA)Advanced Very High Resolution Radiometer(AVHRR)channel 1 and channel 2 observa-tions,an unsupervised classification method,and the ISODATA algorithm were employed to identify the vegeta-tion *** reduce the dimensions of the dataset resulted in a total of 28 spectral clusters of land-cover of which two clusters were urban/bare soil and water,the images were processed using principal component analysis(PCA).The 26 remaining spectral clusters were merged into six vegeta-tion types using the Chinese vegetation taxonomy system:evergreen broad-leaved forest,coniferous forest,bamboo forest,shrub-grass,aquatic vegetation,and agricultural *** spatial distribution and areal extent for the coniferous forests,shrub-grass,evergreen broad-leaved for-ests,and agricultural vegetation were calculated and com-pared with the vegetation Atlas of China at a 1:1,000,000 *** spatial accuracy and the area accuracy for conif-erous forests,shrub-grass,evergreen broad-leaved forests,and agricultural vegetation were 79.2%,91.3%,68.2%and 95.9%and 92.1%,95.9%,63.8%and 90.5%,*** spatial accuracy and area accuracy of the bamboo forest were 28.7%and 96.5%,respectively

关键词： vegetation classification remote sensing NDVI principal component analysis East China

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Establishing a dynamic US federal national vegetation classification process standard in partnership with non federal partners

Establishing a dynamic US federal national vegetation classi...

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ⅩⅪ International Grassland Congress and the Ⅷ International Rangeland Congress

作者： Ralph H.Crawford US Forest Service Research and Development 1601 North Kent Street RPC-4 ArlingtonVirginia 22209

＜正＞Introduction The overall purpose of this Federal National vegetation classification Standard（NVC） is to support the development and use of a consistent national vegetation classification in order to produce uniform statistics about vegetation resources across the nation,based on vegetation data gathered at local,regional,or national levels.

关键词： vegetation types vegetation classification

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Modelling analysis embodies drastic transition among global potential natural vegetations in face of changing climate

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Forest Ecosystems 2024年第2期11卷 184-192页

作者： Zhengchao Ren Lei Liu Fang Yin Xiaoni Liu School of Earth Science and Resources Chang’an UniversityXi’an710054China Research Center of Ecological Construction and Environmental Conservation in Gansu Province Gansu Agricultural UniversityLanzhou730070China State Key Laboratory of Tibetan Plateau Earth System Environment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing100101China School of Land Engineering Chang’an UniversityXi’an710054China College of Pratacultural Science Gansu Agricultural UniversityLanzhou730070China

Potential natural vegetation(PNV)is a valuable reference for ecosystem renovation and has garnered increasing attention ***,there is limited knowledge on the spatio-temporal distributions,transitional processes,and underlying mechanisms of global natural vegetation,particularly in the case of ongoing climate *** this study,we visualize the spatio-temporal pattern and inter-transition procedure of global PNV,analyse the shifting distances and directions of global PNV under the influence of climatic disturbance,and explore the mechanisms of global PNV in response to temperature and precipitation *** achieve this,we utilize meteorological data,mainly temperature and precipitation,from six phases:the Last Inter-Glacial(LIG),the Last Glacial Maximum(LGM),the Mid Holocene(MH),the Present Day(PD),2030(20212040)and 2090(2081–2100),and employ a widely-accepted comprehensive and sequential classification sy–stem(CSCS)for global PNV *** find that the spatial patterns of five PNV groups(forest,shrubland,savanna,grassland and tundra)generally align with their respective ecotopes,although their distributions have shifted due to fluctuating temperature and ***,we observe an unexpected transition between tundra and savanna despite their geographical *** shifts in distance and direction of five PNV groups are mainly driven by temperature and precipitation,although there is heterogeneity among these shifts for each ***,the heterogeneity observed among different global PNV groups suggests that they may possess varying capacities to adjust to and withstand the impacts of changing *** spatio-temporal distributions,mutual transitions and shift tendencies of global PNV and its underlying mechanism in face of changing climate,as revealed in this study,can significantly contribute to the development of strategies for mitigating warming and promoting re-vegetation in degraded regions worldwide.

关键词： Potential natural vegetation Global warming vegetation classification Predicted model CSCS

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classification of vegetation in North Tibet Plateau Based on MODIS Time-Series Data

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Wuhan University Journal of Natural Sciences 2008年第3期13卷 273-278页

作者： LU Yuan YAN Yan TAO Heping Institute of Mountain Hazards and Environment ChineseAcademy of Sciences Chengdu 610041 Sichuan China School of Resource and Environmental Sciences GuangxiTeachers Education University Nanning 530001 Guangxi China

Based on the 16d-composite MODIS （moderate resolution imaging spectroradiometer）-NDVI（normalized difference vegetation index） time-series data in 2004, vegetation in North Tibet Plateau was classified and seasonal variations on the pixels selected from different vegetation type were analyzed. The Savitzky-Golay filtering algorithm was applied to perform a filtration processing for MODIS-NDVI time-series data. The processed time-series curves can reflect a real variation trend of vegetation growth. The NDVI time-series curves of coniferous forest, high-cold meadow, high-cold meadow steppe and high-cold steppe all appear a mono-peak model during vegetation growth with the maximum peak occurring in August. A decision-tree classification model was established according to either NDVI time-series data or land surface temperature data. And then, both classifying and processing for vegetations were carried out through the model based on NDVI time-series curves. An accuracy test illustrates that classification results are of high accuracy and credibility and the model is conducive for studying a climate variation and estimating a vegetation production at regional even global scale.

关键词： vegetation classification moderate resolution imaging spectroradiometer normalized difference vegetation index time-series data North Tibet Plateau

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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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vegetation distribution pattern in the dam areas along middle-low reach of Lancang-Mekong River in Yunnan Province, China

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Frontiers of Earth Science 2012年第3期6卷 283-290页

作者： Jinpeng LI Shikui DONG Mingchun PENG Xiaoyan LI Shiliang LIU School of Environment Beijing Normal UniversityBeijing 100875China Institute of Ecology and Geobotany of Yunnan University Kunming 650091China

Lancang-Mekong River Basin is one of ecoregions with rich biodiversity and high ecological values in the world. The basin has been strongly affected by human activities, particularly by dam construction. This study was conducted to investigate the vegetation distribution patterns in the dam areas along middle-low reach of the Lancang-Mekong River in Yunnan Province of China, where eight cascade dams have been planned or are being constructed. To identify the vegetation composition and structure, we sampled 126 quadrats along the transects arrayed vertically to both side of river channel from the year of 2004 to 2010. We found that the forest, shrub and grass communities were widely spread along the riverside. In low reach watershed of the Lancang-Mekong River, the dominated vegetations were grasses and shrubs which were severely disturbed by human activity. In middle reach of the Lancang-Mekong River, the dry-hot valley vegetation was found in the low valley. At high altitude, the pine forest and semi-evergreen seasonal forest were found. As a result of dam construction and operation, the structure and compositions of riparian vegetation were strongly changed. Some plants declined or disappeared due to the alteration of their habitats. The protection or restoration interventions are urgently needed to mitigate the risk of vegetation damage associated with dam projects along middle and low reach of the Lancang-Mekong River.

关键词： vegetation distribution pattern Lancang-Mekong River vegetation classification DCCA analysis

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Assessing vegetation community distribution characteristics and succession stages in mountainous areas hosting coming Winter Olympics Games

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Journal of Mountain Science 2021年第11期18卷 2870-2887页

作者： ZHANG Heng-shuo ZHA Tong-gang YU Yang JI Xiao-dong JESÚS Rodrigo-Comino School of Soil and Water Conservation Beijing Forestry UniversityQinghua East Road 35Beijing 100083China Jixian National Forest Ecosystem Research Network Station CNERNBeijing Forestry UniversityBeijing 100083China Departamento de Análisis Geográfico Regional y Geografía Física Facultad de Filosofía y LetrasCampus Universitario de CartujaUniversity of Granada18071 GranadaSpain

Alpine mountain ecosystem shows strong interactions between abiotic and biotic *** also receive high attention from human activities(natural tourism,trekking,skiing,etc.).However,as the potential disturbance risk areas in alpine mountains are increasing,it is necessary to understand the relationship between environmental factors and plant *** is also the key consideration for the coming international events such as the Winter Olympic Games,which could generate uncontrolled ecosystem issues not previously *** Yin Mountains in Chongli district,Zhangjiakou City,Hebei Province,China will be the core area of the 2022 Winter Olympic *** hypothesize that disturbances will be caused,therefore,the previous relationships between the habitat factors and plant community and the main environmental limiting factors before hosting them must be assessed to design future restoration ***,we used the two-way indicator species analysis(TWINSPAN)and market basket analysis(MBA)for vegetation classification in 91 sampling *** community and relationships among environmental variables(altitude,slope position,aspect,direction,inclination,soil porosity,soil bulk density,organic matter content and soil pH)were investigated through the trend correspondence(DCA)and canonical correspondence analyses(CCA).Also,the TWINSPAN was used to classify the vegetation into 6 different *** analysis showed that i)the spatial variation of soil moisture and the content of soil organic matter are the main factors limiting the development of shrub and herb communities;ii)the distribution of different forest communities was mainly affected by terrain factors(altitude,aspect and slope position);iii)the dynamic changes of vegetation communities in different altitudes were affected by the fluctuation of environmental factors and human disturbance,and the shrubs and herbaceous plants in mid-to-high altitude areas(above 1400 m)generally show the process o

关键词： vegetation classification Topographic factors Community distribution Winter Olympic Games

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

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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) Dept Geog Guangzhou Normal College Guangzhou 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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