气候变化领域集成服务门户(CCPortal): A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence

CCPortal

DOI	10.1016/j.rse.2020.112134
	A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence
	Shan N.; Zhang Y.; Chen J.M.; Ju W.; Migliavacca M.; Peñuelas J.; Yang X.; Zhang Z.; Nelson J.A.; Goulas Y.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Terrestrial evapotranspiration (ET) is an important flux that links global cycles of carbon, water and energy and is largely driven by transpiration (T) through leaf stomata in vegetated areas during the growing season. ET, however, remains one of the most uncertain hydrological variables at the global scale. In this study, we proposed a semi-mechanistic model for estimating terrestrial T by deriving an analytical solution between solar-induced chlorophyll fluorescence (SIF) and stomatal conductance (gc) as well as vapor pressure deficit (VPD), combining theories on the photosynthetic pathway and optimal stomatal behavior. The relationships of SIF-ETR and ETR-gc·VPD0.5 was calibrated by the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) model. This model was validated by hourly canopy SIF and concurrent eddy covariance flux observations at both forest and cropland ecosystems. Results showed that the SIF combined with VPD can better predict gc than using SIF alone with a more consistent seasonal trends found in both SIF and gc·VPD0.5. The correlation between gc·VPD0.5 and SIF was stronger than those between gc and SIF and between gc and VIs. Canopy T was accurately predicted from SIF at both hourly (R2 > 0.65) and daily (R2 > 0.76) scales and was also successfully estimated using SIF observations from the TROPOspheric Monitoring Instrument (TROPOMI) at cropland ecosystems. In comparison with empirical relationships of directly linking gc with SIF or VIs, the proposed model produced latent heat flux (λE) estimation in best agreement with measured values at all three sites. Our model could be a step forward in understanding the coupling of carbon and water cycles and may be used in ecosystem models for improving ET estimation over large areas. © 2020 Elsevier Inc.
英文关键词	SCOPE; Solar-induced chlorophyll fluorescence (SIF); Stomatal conductance; Vapor pressure deficit (VPD) transpiration; Vegetation indices
语种	英语
scopus关键词	Carbon; Chlorophyll; Evapotranspiration; Fluorescence; Heat flux; Plants (botany); Transpiration; Chlorophyll fluorescence; Empirical relationships; Hydrological variables; Monitoring instruments; Photosynthetic pathways; Semi-mechanistic models; Terrestrial evapotranspiration; Vapor pressure deficit; Ecosystems; chlorophyll; detection method; ecosystem modeling; eddy covariance; estimation method; fluorescence; growing season; instrumentation; remote sensing; solar power; stomach content; stomatal conductance; transpiration
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179076
作者单位	Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China; Nantong Academy of Intelligent Sensing, Nantong, Jiangsu 226000, China; Nanjing Institute of Environmental Sciences, MEE, Nanjing, Jiangsu 210042, China; Department of Geography and Program in Planning, University of Toronto, Toronto, ON M5S 3G3, Canada; Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany; CSIC, Global ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain; CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain; Department of Environmental Sciences, University of Virginia, Charlottesville, V...
推荐引用方式 GB/T 7714	Shan N.,Zhang Y.,Chen J.M.,et al. A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence[J],2021,252.
APA	Shan N..,Zhang Y..,Chen J.M..,Ju W..,Migliavacca M..,...&Goulas Y..(2021).A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence.Remote Sensing of Environment,252.
MLA	Shan N.,et al."A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence".Remote Sensing of Environment 252(2021).