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Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model

文献类型：期刊论文

作者Bu, Jingyi2,3,13; Gan, Guojing11; Chen, Jiahao13; Su, Yanxin13; Yuan, Mengjia13; Gao, Yanchun; Domingo, Francisco12; Lopez-Ballesteros, Ana; Migliavacca, Mirco7; El-Madany, Tarek S.
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2024-03-15
卷号303页码:113999
关键词Dryland Evapotranspiration Contiguous solar-induced chlorophyll fluores cence Optimal conductance model Root-zone soil water content Land surface temperature
DOI10.1016/j.rse.2024.113999
产权排序1
文献子类Article
英文摘要Evapotranspiration (ET) represents the largest water loss flux in drylands, but ET and its partition into plant transpiration (T) and soil evaporation (E) are poorly quantified, especially at fine temporal scales. Physicallybased remote sensing models relying on sensible heat flux estimates, like the two-source energy balance model, could benefit from considering more explicitly the key effect of stomatal regulation on dryland ET. The objective of this study is to assess the potential of satellite-based solar-induced chlorophyll fluorescence (SIF), a proxy for gross primary productivity (GPP), to constrain canopy conductance (Gc) of an optimal stomatal model within a two-source energy balance model in drylands. We assessed our ET model forced with in situ eddy covariance GPP as a benchmark, and compared with GPP estimates based on the Contiguous solar-induced chlorophyll fluorescence (CSIF) remote sensing product, with and without the effect of root-zone soil moisture on the Gc. The estimated ET was robust across four steppes and two tree-grass dryland ecosystems. Comparison of ET simulated using in situ GPP against ET measurements yielded an average coefficient of determination (R2) of 0.74 (0.87) and root-mean-square error (RMSE) of 0.030 (0.35) mm at half-hourly (daily) timescale. For the CSIF model, the average RMSE for ET estimates was 0.036 (0.46) mm. Including explicitly the soil moisture effect on Gc, R2 for ET simulated using CSIF increased from 0.68 (0.82) to 0.77 (0.89), with RMSE ranging between 0.023 (0.21) and 0.040 (0.49) mm depending on the site. The ET partitioning using CSIF is also consistent with model partitioning based on EC GPP using the underlying water use efficiency method. In addition to the site-level model simulations, we conducted a regional application in the Southwest US drylands, with the model calibrated against the remote sensing land surface temperature. Our results demonstrate the capacity of SIF to estimate subdaily and daily ET fluxes in drylands. SIF can provide effective vegetation signals to constrain stomatal conductance and partition ET into T and E similar to those from EC GPP. This approach could be extended for
WOS关键词GROSS PRIMARY PRODUCTION ; RADIOMETRIC SURFACE-TEMPERATURE ; CARBON-DIOXIDE EXCHANGE ; MEDITERRANEAN DRYLANDS ; CANOPY CONDUCTANCE ; TERRESTRIAL GROSS ; FLUX ESTIMATION ; WATER-STRESS ; HEAT-FLUX ; IN-SITU
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:001174972300001
源URL[http://ir.igsnrr.ac.cn/handle/311030/203355]  
专题陆地水循环及地表过程院重点实验室_外文论文
作者单位1.Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark
2.Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
3.Columbia Univ, Earth Inst, New York, NY USA
4.Columbia Univ, Dept Earth & Environm Sci, New York, NY USA
5.Columbia Univ, Dept Earth & Environm Engn, New York, NY USA
6.European Commiss, Joint Res Ctr, Via Fermi 2749, I-21027 Ispra, VA, Italy
7.Migliavacca, Mirco; El-Madany, Tarek S.] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, Jena, Germany
8.Agrifood Res & Technol Ctr Aragon CITA, Dept Agr & Forest Syst & Environm, Avda Montanana 930, Zaragoza 50059, Spain
9.Univ Politecn Madrid, Res Ctr Management Environm & Agr Risks CEIGRAM, ETS Ingn Agron Alimentaria & Biosistemas, Senda del Rey 13, Madrid 28040, Spain
10.Chinese Acad Sci, Key Lab Watershed Geog Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China
推荐引用方式
GB/T 7714		 Bu, Jingyi,Gan, Guojing,Chen, Jiahao,et al. Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model[J]. REMOTE SENSING OF ENVIRONMENT,2024,303:113999.
APA Bu, Jingyi.,Gan, Guojing.,Chen, Jiahao.,Su, Yanxin.,Yuan, Mengjia.,...&Garcia, Monica.(2024).Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model.REMOTE SENSING OF ENVIRONMENT,303,113999.
MLA Bu, Jingyi,et al."Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model".REMOTE SENSING OF ENVIRONMENT 303(2024):113999.

入库方式： OAI收割

来源：地理科学与资源研究所

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