From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory

Ying Sun; Lianhong Gu; Jiaming Wen; Christiaan van der Tol; Albert Porcar-Castell; Joanna Joiner; Christine Y. Chang; Troy Magney; Lixin Wang; Leiqiu Hu; Uwe Rascher; Pablo Zarco-Tejada; Christopher B. Barrett; Jiameng Lai; Jimei Han; Zhenqi Luo

doi:10.1111/gcb.16634

From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory

Ying Sun, Lianhong Gu, Jiaming Wen, Christiaan van der Tol, Albert Porcar-Castell, Joanna Joiner, Christine Y. Chang, Troy Magney, Lixin Wang, Leiqiu Hu, Uwe Rascher, Pablo Zarco-Tejada, Christopher B. Barrett, Jiameng Lai, Jimei Han, Zhenqi Luo

Ecosystem Processes

Research output: Contribution to journal › Review article › peer-review

33 Scopus citations

Abstract

Solar-induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted during the light reactions of photosynthesis. The past two decades have witnessed an explosion in availability of SIF data at increasingly higher spatial and temporal resolutions, sparking applications in diverse research sectors (e.g., ecology, agriculture, hydrology, climate, and socioeconomics). These applications must deal with complexities caused by tremendous variations in scale and the impacts of interacting and superimposing plant physiology and three-dimensional vegetation structure on the emission and scattering of SIF. At present, these complexities have not been overcome. To advance future research, the two companion reviews aim to (1) develop an analytical framework for inferring terrestrial vegetation structures and function that are tied to SIF emission, (2) synthesize progress and identify challenges in SIF research via the lens of multi-sector applications, and (3) map out actionable solutions to tackle these challenges and offer our vision for research priorities over the next 5–10 years based on the proposed analytical framework. This paper is the first of the two companion reviews, and theory oriented. It introduces a theoretically rigorous yet practically applicable analytical framework. Guided by this framework, we offer theoretical perspectives on three overarching questions: (1) The forward (mechanism) question—How are the dynamics of SIF affected by terrestrial ecosystem structure and function? (2) The inference question: What aspects of terrestrial ecosystem structure, function, and service can be reliably inferred from remotely sensed SIF and how? (3) The innovation question: What innovations are needed to realize the full potential of SIF remote sensing for real-world applications under climate change? The analytical framework elucidates that process complexity must be appreciated in inferring ecosystem structure and function from the observed SIF; this framework can serve as a diagnosis and inference tool for versatile applications across diverse spatial and temporal scales.

Original language	English
Pages (from-to)	2926-2952
Number of pages	27
Journal	Global Change Biology
Volume	29
Issue number	11
DOIs	https://doi.org/10.1111/gcb.16634
State	Published - Jun 2023

Funding

YS, JW, JL, and ZL acknowledge support from NSF Macrosystem Biology (Award 1926488), NASA-CMS (80NSSC21K1058), NASA-FINESST (80NSSC20K1646), NASA MEaSures project, USDA-NIFA Hatch Fund (1014740), and the Cornell Initiative for Digital Agriculture Research Innovation Fund. CYC acknowledges support from USDA, Agricultural Research Service. JL acknowledges the Saltonstall Fellowship from the Soil and Crop Science Section at Cornell University. LH acknowledges support from NASA-IDS (80NSSC20K1263) and NASA-HAQAST (80NSSC21K0430). JJ is supported by NASA through the Arctic-Boreal Vulnerability Experiment (ABoVE) science team. LW acknowledges partial support from NSF Division of Earth Sciences (EAR-1554894). YS, JW, LH, and CBB also acknowledge support from USAID Feed the Future program (7200AA18CA00014). TSM acknowledges the Macrosystems Biology and NEON-Enabled Science program at NSF (award 1926090). ORNL is managed by UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725. We acknowledge Kathleen Kanaley for proofreading. YS, JW, JL, and ZL acknowledge support from NSF Macrosystem Biology (Award 1926488), NASA‐CMS (80NSSC21K1058), NASA‐FINESST (80NSSC20K1646), NASA MEaSures project, USDA‐NIFA Hatch Fund (1014740), and the Cornell Initiative for Digital Agriculture Research Innovation Fund. CYC acknowledges support from USDA, Agricultural Research Service. JL acknowledges the Saltonstall Fellowship from the Soil and Crop Science Section at Cornell University. LH acknowledges support from NASA‐IDS (80NSSC20K1263) and NASA‐HAQAST (80NSSC21K0430). JJ is supported by NASA through the Arctic‐Boreal Vulnerability Experiment (ABoVE) science team. LW acknowledges partial support from NSF Division of Earth Sciences (EAR‐1554894). YS, JW, LH, and CBB also acknowledge support from USAID Feed the Future program (7200AA18CA00014). TSM acknowledges the Macrosystems Biology and NEON‐Enabled Science program at NSF (award 1926090). ORNL is managed by UT‐Battelle, LLC, for DOE under contract DE‐AC05‐00OR22725. We acknowledge Kathleen Kanaley for proofreading.

Funders	Funder number
Cornell Initiative for Digital Agriculture Research Innovation Fund
NASA-CMS
NASA-FINESST
NASA-HAQAST
NASA-IDS
NASA‐CMS	80NSSC21K1058
NASA‐FINESST	80NSSC20K1646
NASA‐HAQAST	80NSSC21K0430
NASA‐IDS	80NSSC20K1263
Soil and Crop Science Section at Cornell University
USDA‐NIFA Hatch Fund
National Science Foundation	1926488
U.S. Department of Energy	DE‐AC05‐00OR22725
National Aeronautics and Space Administration
Division of Earth Sciences	EAR‐1554894
United States Agency for International Development	1926090, 7200AA18CA00014
National Institute of Food and Agriculture	1014740
Oak Ridge National Laboratory
Agricultural Research Service

Keywords

NPQ
SIF
climate change
ecosystem function
ecosystem structure
photosynthesis
redox state
terrestrial carbon cycle

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1111/gcb.16634

Cite this

Sun, Y., Gu, L., Wen, J., van der Tol, C., Porcar-Castell, A., Joiner, J., Chang, C. Y., Magney, T., Wang, L., Hu, L., Rascher, U., Zarco-Tejada, P., Barrett, C. B., Lai, J., Han, J., & Luo, Z. (2023). From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory. Global Change Biology, 29(11), 2926-2952. https://doi.org/10.1111/gcb.16634

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title = "From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory",

abstract = "Solar-induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted during the light reactions of photosynthesis. The past two decades have witnessed an explosion in availability of SIF data at increasingly higher spatial and temporal resolutions, sparking applications in diverse research sectors (e.g., ecology, agriculture, hydrology, climate, and socioeconomics). These applications must deal with complexities caused by tremendous variations in scale and the impacts of interacting and superimposing plant physiology and three-dimensional vegetation structure on the emission and scattering of SIF. At present, these complexities have not been overcome. To advance future research, the two companion reviews aim to (1) develop an analytical framework for inferring terrestrial vegetation structures and function that are tied to SIF emission, (2) synthesize progress and identify challenges in SIF research via the lens of multi-sector applications, and (3) map out actionable solutions to tackle these challenges and offer our vision for research priorities over the next 5–10 years based on the proposed analytical framework. This paper is the first of the two companion reviews, and theory oriented. It introduces a theoretically rigorous yet practically applicable analytical framework. Guided by this framework, we offer theoretical perspectives on three overarching questions: (1) The forward (mechanism) question—How are the dynamics of SIF affected by terrestrial ecosystem structure and function? (2) The inference question: What aspects of terrestrial ecosystem structure, function, and service can be reliably inferred from remotely sensed SIF and how? (3) The innovation question: What innovations are needed to realize the full potential of SIF remote sensing for real-world applications under climate change? The analytical framework elucidates that process complexity must be appreciated in inferring ecosystem structure and function from the observed SIF; this framework can serve as a diagnosis and inference tool for versatile applications across diverse spatial and temporal scales.",

keywords = "NPQ, SIF, climate change, ecosystem function, ecosystem structure, photosynthesis, redox state, terrestrial carbon cycle",

author = "Ying Sun and Lianhong Gu and Jiaming Wen and {van der Tol}, Christiaan and Albert Porcar-Castell and Joanna Joiner and Chang, {Christine Y.} and Troy Magney and Lixin Wang and Leiqiu Hu and Uwe Rascher and Pablo Zarco-Tejada and Barrett, {Christopher B.} and Jiameng Lai and Jimei Han and Zhenqi Luo",

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year = "2023",

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Sun, Y, Gu, L, Wen, J, van der Tol, C, Porcar-Castell, A, Joiner, J, Chang, CY, Magney, T, Wang, L, Hu, L, Rascher, U, Zarco-Tejada, P, Barrett, CB, Lai, J, Han, J & Luo, Z 2023, 'From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory', Global Change Biology, vol. 29, no. 11, pp. 2926-2952. https://doi.org/10.1111/gcb.16634

TY - JOUR

T1 - From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service

T2 - Part I—Harnessing theory

AU - Sun, Ying

AU - Gu, Lianhong

AU - Wen, Jiaming

AU - van der Tol, Christiaan

AU - Porcar-Castell, Albert

AU - Joiner, Joanna

AU - Chang, Christine Y.

AU - Magney, Troy

AU - Wang, Lixin

AU - Hu, Leiqiu

AU - Rascher, Uwe

AU - Zarco-Tejada, Pablo

AU - Barrett, Christopher B.

AU - Lai, Jiameng

AU - Han, Jimei

AU - Luo, Zhenqi

PY - 2023/6

Y1 - 2023/6

N2 - Solar-induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted during the light reactions of photosynthesis. The past two decades have witnessed an explosion in availability of SIF data at increasingly higher spatial and temporal resolutions, sparking applications in diverse research sectors (e.g., ecology, agriculture, hydrology, climate, and socioeconomics). These applications must deal with complexities caused by tremendous variations in scale and the impacts of interacting and superimposing plant physiology and three-dimensional vegetation structure on the emission and scattering of SIF. At present, these complexities have not been overcome. To advance future research, the two companion reviews aim to (1) develop an analytical framework for inferring terrestrial vegetation structures and function that are tied to SIF emission, (2) synthesize progress and identify challenges in SIF research via the lens of multi-sector applications, and (3) map out actionable solutions to tackle these challenges and offer our vision for research priorities over the next 5–10 years based on the proposed analytical framework. This paper is the first of the two companion reviews, and theory oriented. It introduces a theoretically rigorous yet practically applicable analytical framework. Guided by this framework, we offer theoretical perspectives on three overarching questions: (1) The forward (mechanism) question—How are the dynamics of SIF affected by terrestrial ecosystem structure and function? (2) The inference question: What aspects of terrestrial ecosystem structure, function, and service can be reliably inferred from remotely sensed SIF and how? (3) The innovation question: What innovations are needed to realize the full potential of SIF remote sensing for real-world applications under climate change? The analytical framework elucidates that process complexity must be appreciated in inferring ecosystem structure and function from the observed SIF; this framework can serve as a diagnosis and inference tool for versatile applications across diverse spatial and temporal scales.

AB - Solar-induced chlorophyll fluorescence (SIF) is a remotely sensed optical signal emitted during the light reactions of photosynthesis. The past two decades have witnessed an explosion in availability of SIF data at increasingly higher spatial and temporal resolutions, sparking applications in diverse research sectors (e.g., ecology, agriculture, hydrology, climate, and socioeconomics). These applications must deal with complexities caused by tremendous variations in scale and the impacts of interacting and superimposing plant physiology and three-dimensional vegetation structure on the emission and scattering of SIF. At present, these complexities have not been overcome. To advance future research, the two companion reviews aim to (1) develop an analytical framework for inferring terrestrial vegetation structures and function that are tied to SIF emission, (2) synthesize progress and identify challenges in SIF research via the lens of multi-sector applications, and (3) map out actionable solutions to tackle these challenges and offer our vision for research priorities over the next 5–10 years based on the proposed analytical framework. This paper is the first of the two companion reviews, and theory oriented. It introduces a theoretically rigorous yet practically applicable analytical framework. Guided by this framework, we offer theoretical perspectives on three overarching questions: (1) The forward (mechanism) question—How are the dynamics of SIF affected by terrestrial ecosystem structure and function? (2) The inference question: What aspects of terrestrial ecosystem structure, function, and service can be reliably inferred from remotely sensed SIF and how? (3) The innovation question: What innovations are needed to realize the full potential of SIF remote sensing for real-world applications under climate change? The analytical framework elucidates that process complexity must be appreciated in inferring ecosystem structure and function from the observed SIF; this framework can serve as a diagnosis and inference tool for versatile applications across diverse spatial and temporal scales.

KW - NPQ

KW - SIF

KW - climate change

KW - ecosystem function

KW - ecosystem structure

KW - photosynthesis

KW - redox state

KW - terrestrial carbon cycle

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DO - 10.1111/gcb.16634

M3 - Review article

C2 - 36799496

AN - SCOPUS:85150701263

SN - 1354-1013

VL - 29

SP - 2926

EP - 2952

JO - Global Change Biology

JF - Global Change Biology

IS - 11

ER -

From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory

Abstract

Funding

Keywords

UN SDGs

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