Consistency Between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America
Consistency Between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America
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DOI：
10.1016/j.rse.2016.05.015
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发表时间：
2016-06
影响因子：
13.5
通讯作者：
Yao Zhang;Xiangming Xiao;C. Jin;Jinwei Dong;Sha Zhou;P. Wagle;J. Joiner;L. Guanter;Yongguang Zhang
中科院分区：
文献类型：
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作者：
Yao Zhang;Xiangming Xiao;C. Jin;Jinwei Dong;Sha Zhou;P. Wagle;J. Joiner;L. Guanter;Yongguang Zhang
准确估算陆地生态系统的初级生产总值（GPP）对于更好地了解全球碳循环的时空格局至关重要。在这项研究中，我们估计GPP在北美（NA）使用基于卫星的植被光合作用模型（VPM），MODIS图像在8天的时间和500米的空间分辨率，和NCEP-NARR（国家环境预测中心-北美区域再分析）气候数据。模拟的GPP（GPPVPM）同意与通量塔推导的GPP（GPPEC）在39 AmeriFlux站点（155站点年）。将2010年的GPPVPM在空间上聚合到0.5x0.5 °网格单元，然后与来自全球臭氧监测仪器2（GOME-2）的太阳诱导叶绿素荧光（SIF）数据进行比较，该数据与植被光合作用直接相关。GPPVPM和GOME-2 SIF的空间分布和季节动态具有较好的一致性。在生物群落尺度上，GPPVPM和SIF表现出很强的线性关系（R2> 0.95），回归斜率变化很小（4.60-5.55 g C m− 2day− 1/mW m− 2nm− 1 sr − 1）。2010年北美地区的全球生产力变化趋势年平均值约为13.53 Pg C年-1，约占全球陆地生产力的11.0%，处于其他六个基于过程和数据驱动的模式的全球生产力估算值范围内（11.35-22.23 Pg C年-1）。在这7个模型中，有些模型没有捕捉到GOME-2 SIF数据在年尺度上的空间格局，特别是在中西部农田地区。这项研究的结果表明，在大陆尺度上的VPM的可靠性能，和SIF数据被用作基准与GPP模式进行比较的潜力。
Accurate estimation of the gross primary production (GPP) of terrestrial ecosystems is vital for a better understanding of the spatial-temporal patterns of the global carbon cycle. In this study, we estimate GPP in North America (NA) using the satellite-based Vegetation Photosynthesis Model (VPM), MODIS images at 8-day temporal and 500 m spatial resolutions, and NCEP-NARR (National Center for Environmental Prediction-North America Regional Reanalysis) climate data. The simulated GPP (GPPVPM) agrees well with the flux tower derived GPP (GPPEC) at 39 AmeriFlux sites (155 site-years). The GPPVPMin 2010 is spatially aggregated to 0.5 by 0.5° grid cells and then compared with sun-induced chlorophyll fluorescence (SIF) data from Global Ozone Monitoring Instrument 2 (GOME-2), which is directly related to vegetation photosynthesis. Spatial distribution and seasonal dynamics of GPPVPMand GOME-2 SIF show good consistency. At the biome scale, GPPVPMand SIF shows strong linear relationships (R2> 0.95) and small variations in regression slopes (4.60–5.55 g C m− 2day− 1/mW m− 2nm− 1sr− 1). The total annual GPPVPMin NA in 2010 is approximately 13.53 Pg C year− 1, which accounts for ~ 11.0% of the global terrestrial GPP and is within the range of annual GPP estimates from six other process-based and data-driven models (11.35–22.23 Pg C year− 1). Among the seven models, some models did not capture the spatial pattern of GOME-2 SIF data at annual scale, especially in Midwest cropland region. The results from this study demonstrate the reliable performance of VPM at the continental scale, and the potential of SIF data being used as a benchmark to compare with GPP models.