Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models

Yongguang Zhang, Luis Guanter, Joseph A. Berry, Joanna Joiner, Christiaan van der Tol, Alfredo Huete, Anatoly Gitelson, Maximilian Voigt, Philipp Köhler

Research output: Contribution to journalArticle

138 Citations (Scopus)

Abstract

Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control parameter of photosynthetic capacity. Even though Vcmax is known to vary substantially in space and time in response to environmental controls, it is typically parameterized in models with tabulated values associated to plant functional types. Remote sensing can be used to produce a spatially continuous and temporally resolved view on photosynthetic efficiency, but traditional vegetation observations based on spectral reflectance lack a direct link to plant photochemical processes. Alternatively, recent space-borne measurements of sun-induced chlorophyll fluorescence (SIF) can offer an observational constraint on photosynthesis simulations. Here, we show that top-of-canopy SIF measurements from space are sensitive to Vcmax at the ecosystem level, and present an approach to invert Vcmax from SIF data. We use the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) balance model to derive empirical relationships between seasonal Vcmax and SIF which are used to solve the inverse problem. We evaluate our Vcmax estimation method at six agricultural flux tower sites in the midwestern US using spaced-based SIF retrievals. Our Vcmax estimates agree well with literature values for corn and soybean plants (average values of 37 and 101 μmol m-2 s-1, respectively) and show plausible seasonal patterns. The effect of the updated seasonally varying Vcmax parameterization on simulated gross primary productivity (GPP) is tested by comparing to simulations with fixed Vcmax values. Validation against flux tower observations demonstrate that simulations of GPP and light use efficiency improve significantly when our time-resolved Vcmax estimates from SIF are used, with R2 for GPP comparisons increasing from 0.85 to 0.93, and for light use efficiency from 0.44 to 0.83. Our results support the use of space-based SIF data as a proxy for photosynthetic capacity and suggest the potential for global, time-resolved estimates of Vcmax.

Original languageEnglish (US)
Pages (from-to)3727-3742
Number of pages16
JournalGlobal Change Biology
Volume20
Issue number12
DOIs
StatePublished - Dec 1 2014

Fingerprint

Chlorophyll
Sun
biosphere
chlorophyll
fluorescence
Fluorescence
vegetation
Photosynthesis
light use efficiency
photosynthesis
Productivity
productivity
Towers
simulation
canopy
Carboxylation
Fluxes
spectral reflectance
inverse problem
estimation method

Keywords

  • Farquhar model Cropland
  • GPP
  • Photosynthesis
  • SCOPE
  • Solar-induced fluorescence
  • V

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • Environmental Science(all)

Cite this

Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. / Zhang, Yongguang; Guanter, Luis; Berry, Joseph A.; Joiner, Joanna; van der Tol, Christiaan; Huete, Alfredo; Gitelson, Anatoly; Voigt, Maximilian; Köhler, Philipp.

In: Global Change Biology, Vol. 20, No. 12, 01.12.2014, p. 3727-3742.

Research output: Contribution to journalArticle

Zhang, Y, Guanter, L, Berry, JA, Joiner, J, van der Tol, C, Huete, A, Gitelson, A, Voigt, M & Köhler, P 2014, 'Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models', Global Change Biology, vol. 20, no. 12, pp. 3727-3742. https://doi.org/10.1111/gcb.12664
Zhang, Yongguang ; Guanter, Luis ; Berry, Joseph A. ; Joiner, Joanna ; van der Tol, Christiaan ; Huete, Alfredo ; Gitelson, Anatoly ; Voigt, Maximilian ; Köhler, Philipp. / Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. In: Global Change Biology. 2014 ; Vol. 20, No. 12. pp. 3727-3742.
@article{94184ee90d0a465fae90fca9900ad896,
title = "Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models",
abstract = "Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control parameter of photosynthetic capacity. Even though Vcmax is known to vary substantially in space and time in response to environmental controls, it is typically parameterized in models with tabulated values associated to plant functional types. Remote sensing can be used to produce a spatially continuous and temporally resolved view on photosynthetic efficiency, but traditional vegetation observations based on spectral reflectance lack a direct link to plant photochemical processes. Alternatively, recent space-borne measurements of sun-induced chlorophyll fluorescence (SIF) can offer an observational constraint on photosynthesis simulations. Here, we show that top-of-canopy SIF measurements from space are sensitive to Vcmax at the ecosystem level, and present an approach to invert Vcmax from SIF data. We use the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) balance model to derive empirical relationships between seasonal Vcmax and SIF which are used to solve the inverse problem. We evaluate our Vcmax estimation method at six agricultural flux tower sites in the midwestern US using spaced-based SIF retrievals. Our Vcmax estimates agree well with literature values for corn and soybean plants (average values of 37 and 101 μmol m-2 s-1, respectively) and show plausible seasonal patterns. The effect of the updated seasonally varying Vcmax parameterization on simulated gross primary productivity (GPP) is tested by comparing to simulations with fixed Vcmax values. Validation against flux tower observations demonstrate that simulations of GPP and light use efficiency improve significantly when our time-resolved Vcmax estimates from SIF are used, with R2 for GPP comparisons increasing from 0.85 to 0.93, and for light use efficiency from 0.44 to 0.83. Our results support the use of space-based SIF data as a proxy for photosynthetic capacity and suggest the potential for global, time-resolved estimates of Vcmax.",
keywords = "Farquhar model Cropland, GPP, Photosynthesis, SCOPE, Solar-induced fluorescence, V",
author = "Yongguang Zhang and Luis Guanter and Berry, {Joseph A.} and Joanna Joiner and {van der Tol}, Christiaan and Alfredo Huete and Anatoly Gitelson and Maximilian Voigt and Philipp K{\"o}hler",
year = "2014",
month = "12",
day = "1",
doi = "10.1111/gcb.12664",
language = "English (US)",
volume = "20",
pages = "3727--3742",
journal = "Global Change Biology",
issn = "1354-1013",
publisher = "Wiley-Blackwell",
number = "12",

}

TY - JOUR

T1 - Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models

AU - Zhang, Yongguang

AU - Guanter, Luis

AU - Berry, Joseph A.

AU - Joiner, Joanna

AU - van der Tol, Christiaan

AU - Huete, Alfredo

AU - Gitelson, Anatoly

AU - Voigt, Maximilian

AU - Köhler, Philipp

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control parameter of photosynthetic capacity. Even though Vcmax is known to vary substantially in space and time in response to environmental controls, it is typically parameterized in models with tabulated values associated to plant functional types. Remote sensing can be used to produce a spatially continuous and temporally resolved view on photosynthetic efficiency, but traditional vegetation observations based on spectral reflectance lack a direct link to plant photochemical processes. Alternatively, recent space-borne measurements of sun-induced chlorophyll fluorescence (SIF) can offer an observational constraint on photosynthesis simulations. Here, we show that top-of-canopy SIF measurements from space are sensitive to Vcmax at the ecosystem level, and present an approach to invert Vcmax from SIF data. We use the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) balance model to derive empirical relationships between seasonal Vcmax and SIF which are used to solve the inverse problem. We evaluate our Vcmax estimation method at six agricultural flux tower sites in the midwestern US using spaced-based SIF retrievals. Our Vcmax estimates agree well with literature values for corn and soybean plants (average values of 37 and 101 μmol m-2 s-1, respectively) and show plausible seasonal patterns. The effect of the updated seasonally varying Vcmax parameterization on simulated gross primary productivity (GPP) is tested by comparing to simulations with fixed Vcmax values. Validation against flux tower observations demonstrate that simulations of GPP and light use efficiency improve significantly when our time-resolved Vcmax estimates from SIF are used, with R2 for GPP comparisons increasing from 0.85 to 0.93, and for light use efficiency from 0.44 to 0.83. Our results support the use of space-based SIF data as a proxy for photosynthetic capacity and suggest the potential for global, time-resolved estimates of Vcmax.

AB - Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control parameter of photosynthetic capacity. Even though Vcmax is known to vary substantially in space and time in response to environmental controls, it is typically parameterized in models with tabulated values associated to plant functional types. Remote sensing can be used to produce a spatially continuous and temporally resolved view on photosynthetic efficiency, but traditional vegetation observations based on spectral reflectance lack a direct link to plant photochemical processes. Alternatively, recent space-borne measurements of sun-induced chlorophyll fluorescence (SIF) can offer an observational constraint on photosynthesis simulations. Here, we show that top-of-canopy SIF measurements from space are sensitive to Vcmax at the ecosystem level, and present an approach to invert Vcmax from SIF data. We use the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) balance model to derive empirical relationships between seasonal Vcmax and SIF which are used to solve the inverse problem. We evaluate our Vcmax estimation method at six agricultural flux tower sites in the midwestern US using spaced-based SIF retrievals. Our Vcmax estimates agree well with literature values for corn and soybean plants (average values of 37 and 101 μmol m-2 s-1, respectively) and show plausible seasonal patterns. The effect of the updated seasonally varying Vcmax parameterization on simulated gross primary productivity (GPP) is tested by comparing to simulations with fixed Vcmax values. Validation against flux tower observations demonstrate that simulations of GPP and light use efficiency improve significantly when our time-resolved Vcmax estimates from SIF are used, with R2 for GPP comparisons increasing from 0.85 to 0.93, and for light use efficiency from 0.44 to 0.83. Our results support the use of space-based SIF data as a proxy for photosynthetic capacity and suggest the potential for global, time-resolved estimates of Vcmax.

KW - Farquhar model Cropland

KW - GPP

KW - Photosynthesis

KW - SCOPE

KW - Solar-induced fluorescence

KW - V

UR - http://www.scopus.com/inward/record.url?scp=84912035440&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84912035440&partnerID=8YFLogxK

U2 - 10.1111/gcb.12664

DO - 10.1111/gcb.12664

M3 - Article

C2 - 24953485

AN - SCOPUS:84912035440

VL - 20

SP - 3727

EP - 3742

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 12

ER -