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Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model
Yan, Wei1,2,3; Hu, Zhongmin4; Zhao, Yuping1; Zhang, Xianzhou1; Fan, Yuzhi1; Shi, Peili1; He, Yongtao1; Yu, Guirui4; Li, Yingnian5
2015-04-07
发表期刊PLOS ONE
卷号10期号:4
文章类型Article
摘要Estimate of net ecosystem carbon exchange (NEE) between the atmosphere and terrestrial ecosystems, the balance of gross primary productivity (GPP) and ecosystem respiration (Reco) has significant importance for studying the regional and global carbon cycles. Using models driven by satellite data and climatic data is a promising approach to estimate NEE at regional scales. For this purpose, we proposed a semi-empirical model to estimate NEE in this study. In our model, the component GPP was estimated with a light response curve of a rectangular hyperbola. The component Reco was estimated with an exponential function of soil temperature. To test the feasibility of applying our model at regional scales, the temporal variations in the model parameters derived from NEE observations in an alpine grassland ecosystem on Tibetan Plateau were investigated. The results indicated that all the inverted parameters exhibit apparent seasonality, which is in accordance with air temperature and canopy phenology. In addition, all the parameters have significant correlations with the remote sensed vegetation indexes or environment temperature. With parameters estimated with these correlations, the model illustrated fair accuracy both in the validation years and at another alpine grassland ecosystem on Tibetan Plateau. Our results also indicated that the model prediction was less accurate in drought years, implying that soil moisture is an important factor affecting the model performance. Incorporating soil water content into the model would be a critical step for the improvement of the model.; Estimate of net ecosystem carbon exchange (NEE) between the atmosphere and terrestrial ecosystems, the balance of gross primary productivity (GPP) and ecosystem respiration (Reco) has significant importance for studying the regional and global carbon cycles. Using models driven by satellite data and climatic data is a promising approach to estimate NEE at regional scales. For this purpose, we proposed a semi-empirical model to estimate NEE in this study. In our model, the component GPP was estimated with a light response curve of a rectangular hyperbola. The component Reco was estimated with an exponential function of soil temperature. To test the feasibility of applying our model at regional scales, the temporal variations in the model parameters derived from NEE observations in an alpine grassland ecosystem on Tibetan Plateau were investigated. The results indicated that all the inverted parameters exhibit apparent seasonality, which is in accordance with air temperature and canopy phenology. In addition, all the parameters have significant correlations with the remote sensed vegetation indexes or environment temperature. With parameters estimated with these correlations, the model illustrated fair accuracy both in the validation years and at another alpine grassland ecosystem on Tibetan Plateau. Our results also indicated that the model prediction was less accurate in drought years, implying that soil moisture is an important factor affecting the model performance. Incorporating soil water content into the model would be a critical step for the improvement of the model.
WOS标题词Science & Technology
关键词[WOS]GROSS PRIMARY PRODUCTION ; USE EFFICIENCY MODEL ; FLUX DATA ; TEMPERATURE-DEPENDENCE ; VEGETATION INDEXES ; FOREST ECOSYSTEMS ; INTEGRATING MODIS ; SOIL RESPIRATION ; DIOXIDE EXCHANGE ; TIBETAN PLATEAU
收录类别SCI
语种英语
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000352477800134
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/5565
专题中国科学院西北高原生物研究所
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
3.Beijing Meteorol Bur, Beijing 100089, Peoples R China
4.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China
推荐引用方式
GB/T 7714
Yan, Wei,Hu, Zhongmin,Zhao, Yuping,et al. Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model[J]. PLOS ONE,2015,10(4).
APA Yan, Wei.,Hu, Zhongmin.,Zhao, Yuping.,Zhang, Xianzhou.,Fan, Yuzhi.,...&Li, Yingnian.(2015).Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model.PLOS ONE,10(4).
MLA Yan, Wei,et al."Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model".PLOS ONE 10.4(2015).
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