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
N1 - Funding Information:
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.
Funding Information:
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.
Publisher Copyright:
© 2023 John Wiley & Sons Ltd.
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 - climate change
KW - ecosystem function
KW - ecosystem structure
KW - NPQ
KW - photosynthesis
KW - redox state
KW - SIF
KW - terrestrial carbon cycle
KW - 2023 OA procedure
KW - ITC-ISI-JOURNAL-ARTICLE
UR - http://www.scopus.com/inward/record.url?scp=85150701263&partnerID=8YFLogxK
U2 - 10.1111/gcb.16634
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 -