Using Continuous Stableisotope Measurements to Partition Net Ecosystem Co2 Exchange
Title: Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar-Induced Chlorophyll Fluorescence (SIF)
Abstract
Accurate partitioning of net ecosystem exchange (NEE) of CO2 to gross primary production (GPP) and ecosystem respiration (Reco) is crucial for understanding carbon cycle dynamics under changing climate. However, it remains as a long-standing problem in global ecology due to lack of independent constraining information for the two offsetting component fluxes. solar-induced chlorophyll fluorescence (SIF), a mechanistic proxy for photosynthesis, holds great promise to improve NEE partitioning by constraining GPP. We developed a parsimonious SIF-based approach for NEE partitioning and examined its performance using synthetic simulations and field measurements. This approach outperforms conventional approaches in reproducing simulated GPP and Reco, especially under high vapor pressure deficit. For field measurements, it results in lower daytime GPP and Reco than conventional approaches. Furthermore, this study made the first attempt to demonstrate SIF's potential for improving NEE partitioning accuracy and sets the stage for future efforts to examine its robustness and scalability under real-world environmental conditions.
- Authors:
-
[1]; [1]; [2]; [1]; [1]
- Cornell Univ., Ithaca, NY (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Cornell Univ., Ithaca, NY (United States); Wuhan Univ. (China)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1824963
- Alternate Identifier(s):
- OSTI ID: 1786729
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Geophysical Research Letters
- Additional Journal Information:
- Journal Volume: 48; Journal Issue: 4; Journal ID: ISSN 0094-8276
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Kira, Oz, Chang, Christine Y‐Y., Gu, Lianhong, Wen, Jiamin, Hong, Z., and Sun, Ying. Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar-Induced Chlorophyll Fluorescence (SIF). United States: N. p., 2021. Web. doi:10.1029/2020gl091247.
Kira, Oz, Chang, Christine Y‐Y., Gu, Lianhong, Wen, Jiamin, Hong, Z., & Sun, Ying. Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar-Induced Chlorophyll Fluorescence (SIF). United States. https://doi.org/10.1029/2020gl091247
Kira, Oz, Chang, Christine Y‐Y., Gu, Lianhong, Wen, Jiamin, Hong, Z., and Sun, Ying. Mon . "Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar-Induced Chlorophyll Fluorescence (SIF)". United States. https://doi.org/10.1029/2020gl091247. https://www.osti.gov/servlets/purl/1824963.
@article{osti_1824963,
title = {Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar-Induced Chlorophyll Fluorescence (SIF)},
author = {Kira, Oz and Chang, Christine Y‐Y. and Gu, Lianhong and Wen, Jiamin and Hong, Z. and Sun, Ying},
abstractNote = {Accurate partitioning of net ecosystem exchange (NEE) of CO2 to gross primary production (GPP) and ecosystem respiration (Reco) is crucial for understanding carbon cycle dynamics under changing climate. However, it remains as a long-standing problem in global ecology due to lack of independent constraining information for the two offsetting component fluxes. solar-induced chlorophyll fluorescence (SIF), a mechanistic proxy for photosynthesis, holds great promise to improve NEE partitioning by constraining GPP. We developed a parsimonious SIF-based approach for NEE partitioning and examined its performance using synthetic simulations and field measurements. This approach outperforms conventional approaches in reproducing simulated GPP and Reco, especially under high vapor pressure deficit. For field measurements, it results in lower daytime GPP and Reco than conventional approaches. Furthermore, this study made the first attempt to demonstrate SIF's potential for improving NEE partitioning accuracy and sets the stage for future efforts to examine its robustness and scalability under real-world environmental conditions.},
doi = {10.1029/2020gl091247},
journal = {Geophysical Research Letters},
number = 4,
volume = 48,
place = {United States},
year = {Mon Jan 25 00:00:00 EST 2021},
month = {Mon Jan 25 00:00:00 EST 2021}
}
Free Publicly Available Full Text
Publisher's Version of Record
Source: https://www.osti.gov/pages/servlets/purl/1824963
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