On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals

REMOTE SENSING OF ENVIRONMENT

卷:205

Article

Zhang, Yao¹  Xiao, Xiangming^1,2  Zhang, Yongguang³  Wolf, Sebastian⁴  Zhou, Sha⁵  Joiner, Joanna⁶  Guanter, Luis⁷  Verma, Manish⁸  Sun, Ying⁹  Yang, Xi¹⁰  Paul-Limoges, Eugenie^4,11  Gough, Christopher M.¹²  Wohlfahrt, Georg¹³  Gioli, Beniamino¹⁴  van der Tol, Christiaan¹⁵  Nouvellon, Yann¹⁶  Lund, Magnus¹⁷  de Grandcourt, Agnes^16,18 

[1] Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA

[2] Fudan Univ, Inst Biodivers Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China

[3] Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China

[4] Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland

[5] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China

[6] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA

[7] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Remote Sensing Sect, Telegrafenberg A17, D-14473 Potsdam, Germany

[8] Univ Michigan, Consulting Stat Comp & Analyt Res, Ann Arbor, MI 48109 USA

[9] Cornell Univ, Sch Integrat Plant Sci, Ithaca, NY 14853 USA

[10] Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA

[11] Univ Zurich, Remote Sensing Water Syst, Zurich, Switzerland

[12] Virginia Commonwealth Univ, Dept Biol, Richmond, VA 23284 USA

[13] Univ Innsbruck, Inst Ecol, Sternwartestr 15, A-6020 Innsbruck, Austria

[14] CNR, Inst Biometeorol, Via Giovanni Caproni 8, I-50145 Florence, Italy

[15] Univ Twente, Fac ITC, Dept Water Resources, NL-7500 Enschede, Netherlands

[16] CIRAD, UMR Eco&Sols, 2 Pl Viala, F-34060 Montpellier, France

[17] Aarhus Univ, Arctic Res Ctr, Dept Biosci, Frederiksborgvej 399, DK-4000 Roskilde, Denmark

[18] Ctr Rech Durabil & Prod Plantat Ind, BP 1291, Pointe Noire, Rep Congo

关键词: Diurnal variation;    Photosynthetically active radiation;    Light use efficiency;    Phenology;    Correction factor;    FLUXNET;    SCOPE;    FluxCom;   

DOI  :  10.1016/j.rse.2017.12.009

来源: Elsevier

【 摘 要 】

Spatially and temporally continuous estimation of plant photosynthetic carbon fixation (or gross primary production, GPP) is crucial to our understanding of the global carbon cycle and the impact of climate change. Besides spatial, seasonal and interannual variations, GPP also exhibits strong diurnal variations. Satellite retrieved solar-induced chlorophyll fluorescence (SIF) provides a spatially continuous, but temporally discrete measurement of plant photosynthesis, and has the potential to be used to estimate GPP at global scale. However, it remains unclear whether the seasonal time series of SIF snapshots taken at a fixed time of the day can be used to infer daily total GPP variation at spatial and seasonal scales. In this study, we first used GPP estimates from 135 eddy covariance flux sites, covering a wide range of geographic locations and biome types, to investigate the relationship between the instantaneous GPP (GPP(inst)) and daily GPP (GPP(daily)) on the seasonal course for different times of the day. Latitudinal and diurnal patterns were found to correspond to variations in photo-synthetically active radiation (PAR) and light use efficiency (LUE), respectively. We then used the Soil-Canopy Observation Photosynthesis and Energy Balance (SCOPE) model and the FluxCom GPP product to investigate the instantaneous and daily SIF-GPP relationships at five flux tower sites along a latitudinal gradient and at a global scale for different biome types. The results showed that daily SIF had a stronger linear correlation with daily GPP than instantaneous SIF at the seasonal scale, with an instantaneous to daily SIF conversion factor following the latitudinal and seasonal pattern driven by PAR. Our study highlights the necessity to take the latitudinal and diurnal factors into consideration for SIF-GPP relationship analyses or for physiological phenology analyses based on SIF.

【 授权许可】

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