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Satellite-based Estimation of Gross Primary Production in an alpine swamp meadow on the Tibetan Plateau:A Multi-model Comparison

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Journal of Resources and Ecology 2017年第1期8卷 57-66页

作者： NIU Ben ZHANG Xianzhou HE Yongtao SHI Peili FU Gang DU Mingyuan ZHANG Yangjian ZONG Ning ZHANG Jing WU Jianshuang Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China Institute for Agro-Environmental Sciences National Agriculture and Food Research Organization 3-1-3 Kannondai Tsukuba Ibaraki 305-8604 Japan College of Global Change and Earth System Sciences Beijing Normal University Beijing 100875 China

alpine swamp meadows on the Tibetan Plateau,with the highest soil organic carbon content across the globe,are extremely vulnerable to climate *** accurately and continually quantify the gross primary production（GPP） is critical for understanding the dynamics of carbon cycles from site-scale to global *** covariance technique（EC） provides the best approach to measure the site-specific carbon flux,while satellite-based models can estimate GPP from local,small scale sites to regional and global ***,the suitability of most satellite-based models for alpine swamp meadow is *** we tested the performance of four widely-used models,the MOD17 algorithm（MOD）,the vegetation photosynthesis model（VPM）,the photosynthetic capacity model（PCM）,and the alpine vegetation model（AVM）,in providing GPP estimations for a typical alpine swamp meadow as compared to the GPP estimations provided by EC-derived *** results indicated that all these models provided good descriptions of the intra-annual GPP patterns（R〉20.89,P〈0.0001）,but hardly agreed with the inter-annual GPP *** strongly underestimated the GPP of alpine swamp meadow,only accounting for 54.0% of GPP_***,the other three satellite-based GPP models could serve as alternative tools for tower-based GPP *** estimated from AVM captured 94.5% of daily GPP_EC with the lowest average RMSE of 1.47 g C m^（-2）.PCM slightly overestimated GPP by 12.0% while MODR slightly underestimated by 8.1% GPP compared to the daily GPP_*** results suggested that GPP estimations for this alpine swamp meadow using AVM were superior to GPP estimations using the other relatively complex models.

关键词： satellite remote sensing eddy covariance technique(EC) gross primary production(GPP) model performance alpine swamp meadow Tibetan Plateau

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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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