Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data
Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data
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DOI：
10.1016/j.rse.2006.10.003
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发表时间：
2007-04-12
影响因子：
13.5
通讯作者：
Fu, Yuling
中科院分区：
文献类型：
--
作者：
Li, Zhengquan;Yu, Guirui;Fu, Yuling
涡流协方差技术提供了大气和陆地生态系统之间二氧化碳净生态系统交换（NEE）的测量，该技术被广泛用于估计许多二氧化碳涡流塔站点的生态系统呼吸和总初级生产（GPP）。本文利用青藏高寒沼泽生态系统、高山灌木生态系统和高山草甸生态系统涡通量塔站点观测的CO2通量数据和光合有效辐射(PAR)数据，估算了星基植被光合作用模型(VPM)中的关键参数——冠层最大光利用效率。 高原，中国。 VPM模型利用中分辨率成像光谱辐射计（MODIS）数据和通量塔站点气候数据衍生的两个改进的植被指数（增强植被指数（EVI）、地表水指数（LSWI）），估算了青藏高原三个高寒草原生态系统GPP的季节动态。 VPM 模型预测的 GPP 季节性动态与涡流塔估计的 GPP 非常吻合。这些结果证明了卫星驱动的 VPM 模型在扩大高山草原生态系统 GPP 方面的潜力，这是区域和全球尺度碳循环研究的关键组成部分。 (c) 2006 Elsevier Inc. 保留所有权利。
The eddy covariance technique provides measurements of net ecosystem exchange (NEE) Of CO2 between the atmosphere and terrestrial ecosystems, which is widely used to estimate ecosystem respiration and gross primary production (GPP) at a number Of CO2 eddy flux tower sites. In this paper, canopy-level maximum light use efficiency, a key parameter in the satellite-based Vegetation Photosynthesis Model (VPM), was estimated by using the observed CO2 flux data and photosynthetically active radiation (PAR) data from eddy flux tower sites in an alpine swamp ecosystem, an alpine shrub ecosystem and an alpine meadow ecosystem in Qinghai-Tibetan Plateau, China. The VPM model uses two improved vegetation indices (Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI)) derived from the Moderate Resolution Imaging Spectral radiometer (MODIS) data and climate data at the flux tower sites, and estimated the seasonal dynamics of GPP of the three alpine grassland ecosystems in Qinghai-Tibetan Plateau. The seasonal dynamics of GPP predicted by the VPM model agreed well with estimated GPP from eddy flux towers. These results demonstrated the potential of the satellite-driven VPM model for scaling-up GPP of alpine grassland ecosystems, a key component for the study of the carbon cycle at regional and global scales. (c) 2006 Elsevier Inc. All rights reserved.