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Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest

文献类型：期刊论文

作者Chen, Jinghua1; Wang, Shaoqiang1,2,3; Chen, Bin1,2; Li, Yue4; Amir, Muhammad1,2; Ma, Li1,2; Zhu, Kai1,2; Yang, Fengting1,2; Wang, Xiaobo1,2; Liu, Yuanyuan1,2
刊名REMOTE SENSING
出版日期2021-08-01
卷号13期号:16页码:18
关键词chlorophyll fluorescence model comparison SCOPE model evergreen conifer water stress
DOI10.3390/rs13163143
通讯作者Wang, Shaoqiang(sqwang@igsnrr.ac.cn)
英文摘要Solar-induced chlorophyll fluorescence (SIF) is considered as a prospective indicator of vegetation photosynthetic activity and the ecosystem carbon cycle. The current coarse spatial-temporal resolutions of SIF data from satellite missions and ground measurements still cannot satisfy the corroboration of its correlation with photosynthesis and carbon flux. Practical approaches are needed to be explored for the supplementation of the SIF measurements. In our study, we clarified the diurnal variations of leaf and canopy chlorophyll fluorescence for a subtropical evergreen coniferous forest and evaluated the performance of the canopy chlorophyll concentration (CCC) approach and the backward approach from gross primary production (GPP) for estimating the diurnal variations of canopy SIF by comparing with the Soil Canopy Observation Photosynthesis Energy (SCOPE) model. The results showed that the canopy SIF had similar seasonal and diurnal variations with the incident photosynthetically active radiation (PAR) above the canopy, while the leaf steady-state fluorescence remained stable during the daytime. Neither the CCC nor the raw backward approach from GPP could capture the short temporal dynamics of canopy SIF. However, after improving the backward approach with a correction factor of normalized PAR incident on leaves, the variation of the estimated canopy SIF accounted for more than half of the diurnal variations in the canopy SIF (SIF687: R-2 = 0.53, p < 0.001; SIF760: R-2 = 0.72, p < 0.001) for the subtropical evergreen coniferous forest without water stress. Drought interfered with the utilization of the improved backward approach because of the decoupling of SIF and GPP due to stomatal closure. This new approach offers new insight into the estimation of diurnal canopy SIF and can help understand the photosynthesis of vegetation for future climate change studies.
WOS关键词WATER-STRESS ; SATELLITE MEASUREMENTS ; SEASONAL DROUGHT ; STEADY-STATE ; PHOTOSYNTHESIS ; CANOPY ; MODEL ; TEMPERATURE ; RETRIEVAL ; LEAF
资助项目National Key Research and Development Program of China[2017YFC0503803] ; National Natural Science Foundation of China[41871342]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000689804800001
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/165168]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shaoqiang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
4.Hebei Univ Engn, Sch Earth Sci & Engn, Handan 056038, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Jinghua,Wang, Shaoqiang,Chen, Bin,et al. Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest[J]. REMOTE SENSING,2021,13(16):18.
APA Chen, Jinghua.,Wang, Shaoqiang.,Chen, Bin.,Li, Yue.,Amir, Muhammad.,...&Wang, Zhaosheng.(2021).Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest.REMOTE SENSING,13(16),18.
MLA Chen, Jinghua,et al."Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest".REMOTE SENSING 13.16(2021):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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