Temporal consistency between gross primary production and solar-induced chlorophyll fluorescence in the ten most populous megacity areas over years

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作者
Yaoping Cui
Xiangming Xiao
Yao Zhang
Jinwei Dong
Yuanwei Qin
Russell B. Doughty
Geli Zhang
Jie Wang
Xiaocui Wu
Yaochen Qin
Shenghui Zhou
Joanna Joiner
Berrien Moore
机构
[1] Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions,Collaborative Innovation Center for the “Three Modernization” Harmonious Development of Central Plains Economic Region
[2] Henan University,Department of Microbiology and Plant Biology
[3] Center for Spatial Analysis,Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering
[4] University of Oklahoma,undefined
[5] Institute of Biodiversity Science,undefined
[6] Fudan University,undefined
[7] Institute of Geographic Sciences and Natural Resources Research,undefined
[8] Chinese Academy of Sciences,undefined
[9] NASA Goddard Space Flight Center,undefined
[10] College of Atmospheric and Geographic Sciences,undefined
[11] University of Oklahoma,undefined
来源
Scientific Reports | / 7卷
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摘要
The gross primary production (GPP) of vegetation in urban areas plays an important role in the study of urban ecology. It is difficult however, to accurately estimate GPP in urban areas, mostly due to the complexity of impervious land surfaces, buildings, vegetation, and management. Recently, we used the Vegetation Photosynthesis Model (VPM), climate data, and satellite images to estimate the GPP of terrestrial ecosystems including urban areas. Here, we report VPM-based GPP (GPPvpm) estimates for the world’s ten most populous megacities during 2000–2014. The seasonal dynamics of GPPvpm during 2007–2014 in the ten megacities track well that of the solar-induced chlorophyll fluorescence (SIF) data from GOME-2 at 0.5° × 0.5° resolution. Annual GPPvpm during 2000–2014 also shows substantial variation among the ten megacities, and year-to-year trends show increases, no change, and decreases. Urban expansion and vegetation collectively impact GPP variations in these megacities. The results of this study demonstrate the potential of a satellite-based vegetation photosynthesis model for diagnostic studies of GPP and the terrestrial carbon cycle in urban areas.
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