Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis

Nastassia Vilfan*, Christiaan van der Tol, Wouter Verhoef

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Abstract

In photosynthesis models following the Farquhar formulation, the maximum carboxylation rate Vcmax is the key parameter. Remote-sensing indicators, such as reflectance ρ and Chl fluorescence (ChlF), have been proven as valuable estimators of photosynthetic capacity and can be used as a constraint to Vcmax estimation. We present a methodology to retrieve Vcmax from leaf ρ and ChlF by coupling a radiative transfer model, Fluspect, to a model for photosynthesis. We test its performance against a unique dataset, with combined leaf spectral, gas exchange and pulse-amplitude-modulated measurements. Our results show that the method can estimate the magnitude of Vcmax estimated from the far-red peak of ChlF and green ρ or transmittance τ, with values of root-mean-square error below 10 μmol CO2 m−2 s−1. At the leaf level, the method could be used for detection of plant stress and tested against more extensive datasets. With a similar scheme devised for the higher spatial scales, such models could provide a comprehensive method to estimate the actual photosynthetic capacity of vegetation.

Original languageEnglish
Pages (from-to)487-500
Number of pages14
JournalNew Phytologist
Volume223
Issue number1
DOIs
Publication statusPublished - 1 Jul 2019

Fingerprint

Photosynthesis
reflectance
Fluorescence
photosynthesis
fluorescence
leaves
transmittance
plant stress
carboxylation
Gases
methodology
remote sensing
gas exchange
vegetation
radiative transfer
Datasets
testing

Keywords

  • Fluspect
  • leaf Chl fluorescence
  • photosynthesis
  • reflectance
  • Soil–Canopy Observation of Photosynthesis and Energy balance (SCOPE)
  • V

Cite this

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title = "Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis",
abstract = "In photosynthesis models following the Farquhar formulation, the maximum carboxylation rate Vcmax is the key parameter. Remote-sensing indicators, such as reflectance ρ and Chl fluorescence (ChlF), have been proven as valuable estimators of photosynthetic capacity and can be used as a constraint to Vcmax estimation. We present a methodology to retrieve Vcmax from leaf ρ and ChlF by coupling a radiative transfer model, Fluspect, to a model for photosynthesis. We test its performance against a unique dataset, with combined leaf spectral, gas exchange and pulse-amplitude-modulated measurements. Our results show that the method can estimate the magnitude of Vcmax estimated from the far-red peak of ChlF and green ρ or transmittance τ, with values of root-mean-square error below 10 μmol CO2 m−2 s−1. At the leaf level, the method could be used for detection of plant stress and tested against more extensive datasets. With a similar scheme devised for the higher spatial scales, such models could provide a comprehensive method to estimate the actual photosynthetic capacity of vegetation.",
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Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis. / Vilfan, Nastassia; van der Tol, Christiaan; Verhoef, Wouter.

In: New Phytologist, Vol. 223, No. 1, 01.07.2019, p. 487-500.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis

AU - Vilfan, Nastassia

AU - van der Tol, Christiaan

AU - Verhoef, Wouter

PY - 2019/7/1

Y1 - 2019/7/1

N2 - In photosynthesis models following the Farquhar formulation, the maximum carboxylation rate Vcmax is the key parameter. Remote-sensing indicators, such as reflectance ρ and Chl fluorescence (ChlF), have been proven as valuable estimators of photosynthetic capacity and can be used as a constraint to Vcmax estimation. We present a methodology to retrieve Vcmax from leaf ρ and ChlF by coupling a radiative transfer model, Fluspect, to a model for photosynthesis. We test its performance against a unique dataset, with combined leaf spectral, gas exchange and pulse-amplitude-modulated measurements. Our results show that the method can estimate the magnitude of Vcmax estimated from the far-red peak of ChlF and green ρ or transmittance τ, with values of root-mean-square error below 10 μmol CO2 m−2 s−1. At the leaf level, the method could be used for detection of plant stress and tested against more extensive datasets. With a similar scheme devised for the higher spatial scales, such models could provide a comprehensive method to estimate the actual photosynthetic capacity of vegetation.

AB - In photosynthesis models following the Farquhar formulation, the maximum carboxylation rate Vcmax is the key parameter. Remote-sensing indicators, such as reflectance ρ and Chl fluorescence (ChlF), have been proven as valuable estimators of photosynthetic capacity and can be used as a constraint to Vcmax estimation. We present a methodology to retrieve Vcmax from leaf ρ and ChlF by coupling a radiative transfer model, Fluspect, to a model for photosynthesis. We test its performance against a unique dataset, with combined leaf spectral, gas exchange and pulse-amplitude-modulated measurements. Our results show that the method can estimate the magnitude of Vcmax estimated from the far-red peak of ChlF and green ρ or transmittance τ, with values of root-mean-square error below 10 μmol CO2 m−2 s−1. At the leaf level, the method could be used for detection of plant stress and tested against more extensive datasets. With a similar scheme devised for the higher spatial scales, such models could provide a comprehensive method to estimate the actual photosynthetic capacity of vegetation.

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