Journal Article

FZJ-2020-02996

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges

Jonard, F.FZJ* ; De Cannière, S. ; Brüggemann, N.FZJ* ; Gentine, P. ; Short Gianotti, D. J. ; Lobet, G.FZJ* ; Miralles, D. G. ; Montzka, C.FZJ* ; Pagán, B. R. ; Rascher, U.FZJ* ; Vereecken, H.FZJ*

2020
Elsevier Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.agrformet.2020.108088

Abstract: Predictions of hydrological states and fluxes, especially transpiration, are poorly constrained in hydrological models due to large uncertainties in parameterization and process description. Novel technologies like remote sensing of sun-induced chlorophyll fluorescence (SIF)—which provides information from the photosynthetic apparatus—may help in constraining water cycle components. This paper discusses the nature of the plant physiological basis of the fluorescence signal and analyses the current literature linking hydrological states and fluxes to SIF. Given the connection between photosynthesis and transpiration, through the water use efficiency, SIF may serve as a pertinent constraint for hydrological models. The FLuorescence EXplorer (FLEX) satellite, planned to be launched in 2023, is expected to provide spatially high-resolution measurements of red and far-red SIF complementing the products from existing satellite missions and the high-temporal resolution products from upcoming geostationary missions. This new data stream may allow us to better constrain plant transpiration, assess the impacts of water stress on plants, and infer processes occurring in the root zone through the soil-plant water column. To make optimal use of this data, progress needs to be made in 1) our process representation of spatially aggregated fluorescence signals from spaceborne SIF instruments, 2) integration of fluorescence processes in hydrological models—particularly when paired with other satellite data, 3) quantifying the impact of soil moisture on SIF across scales, and 4) assessment of the accuracy of SIF measurements—especially from space.

Note: Es gibt kein Postprint dazu, dies ist das Einzige was vom Verlag zur Verfügung gestellt wird

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)
2. DFG project 390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324)

Appears in the scientific report 2020

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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