中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model

文献类型:SCI/SSCI论文

作者Yan W.; Hu, Z. M.; Zhao, Y. P.; Zhang, X. Z.; Fan, Y. Z.; Shi, P. L.; He, Y. T.; Yu, G. R.; Li, Y. N.
发表日期2015
关键词gross primary production use efficiency model flux data temperature-dependence vegetation indexes forest ecosystems integrating modis soil respiration dioxide exchange tibetan plateau
英文摘要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.
出处Plos One
10
4
收录类别SCI
语种英语
ISSN号1932-6203
源URL[http://ir.igsnrr.ac.cn/handle/311030/38972]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Yan W.,Hu, Z. M.,Zhao, Y. P.,et al. Modeling Net Ecosystem Carbon Exchange of Alpine Grasslands with a Satellite-Driven Model. 2015.

入库方式: OAI收割

来源:地理科学与资源研究所

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