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Title: The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing

Abstract

The El Niño-Southern Oscillation exerts a large influence on global climate regimes and on the global carbon cycle. Although El Niño is known to be associated with a reduction of the global total land carbon sink, results based on prognostic models or measurements disagree over the relative contribution of photosynthesis to the reduced sink. Here, we provide an independent remote sensing-based analysis on the impact of the 2015-2016 El Niño on global photosynthesis using six global satellite-based photosynthesis products and a global solar-induced fluorescence (SIF) dataset. An ensemble of satellite-based photosynthesis products showed a negative anomaly of -0.7 ± 1.2 PgC in 2015, but a slight positive anomaly of 0.05 ± 0.89 PgC in 2016, which when combined with observations of the growth rate of atmospheric carbon dioxide concentrations suggests that the reduction of the land residual sink was likely dominated by photosynthesis in 2015 but by respiration in 2016. The six satellite-based products unanimously identified a major photosynthesis reduction of -1.1 ± 0.52 PgC from savannahs in 2015 and 2016, followed by a highly uncertain reduction of -0.22 ± 0.98 PgC from rainforests. Vegetation in the Northern Hemisphere enhanced photosynthesis before and after the peak El Niño, especially inmore » grasslands (0.33 ± 0.13 PgC). The patterns of satellite-based photosynthesis ensemble mean were corroborated by SIF, except in rainforests and South America, where the anomalies of satellite-based photosynthesis products also diverged the most. We found the inter-model variation of photosynthesis estimates was strongly related to the discrepancy between moisture forcings for models. These results highlight the importance of considering multiple photosynthesis proxies when assessing responses to climatic anomalies.This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3];  [4];  [5];  [6];  [2];  [5];  [7]
+ Show Author Affiliations
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  2. California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
  3. Univ. of Valencia (Spain)
  4. Univ. of Toronto, ON (Canada)
  5. Seoul National Univ., Seoul (Republic of Korea)
  6. Nanjing Univ. (China)
  7. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1542327
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
Additional Journal Information:
Journal Volume: 373; Journal Issue: 1760; Journal ID: ISSN 0962-8436
Publisher:
The Royal Society Publishing
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; ENSO; Gross Primary Productivity; solar-induced fluorescence

Citation Formats

Luo, Xiangzhong, Keenan, Trevor F., Fisher, Joshua B., Jiménez-Muñoz, Juan-Carlos, Chen, Jing M., Jiang, Chongya, Ju, Weimin, Perakalapudi, Naga-Vineet, Ryu, Youngryel, and Tadić, Jovan M. The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing. United States: N. p., 2018. Web. doi:10.1098/rstb.2017.0409.
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Luo, Xiangzhong, Keenan, Trevor F., Fisher, Joshua B., Jiménez-Muñoz, Juan-Carlos, Chen, Jing M., Jiang, Chongya, Ju, Weimin, Perakalapudi, Naga-Vineet, Ryu, Youngryel, & Tadić, Jovan M. The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing. United States. https://doi.org/10.1098/rstb.2017.0409
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Luo, Xiangzhong, Keenan, Trevor F., Fisher, Joshua B., Jiménez-Muñoz, Juan-Carlos, Chen, Jing M., Jiang, Chongya, Ju, Weimin, Perakalapudi, Naga-Vineet, Ryu, Youngryel, and Tadić, Jovan M. Mon . "The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing". United States. https://doi.org/10.1098/rstb.2017.0409. https://www.osti.gov/servlets/purl/1542327.
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@article{osti_1542327,
title = {The impact of the 2015/2016 El Niño on global photosynthesis using satellite remote sensing},
author = {Luo, Xiangzhong and Keenan, Trevor F. and Fisher, Joshua B. and Jiménez-Muñoz, Juan-Carlos and Chen, Jing M. and Jiang, Chongya and Ju, Weimin and Perakalapudi, Naga-Vineet and Ryu, Youngryel and Tadić, Jovan M.},
abstractNote = {The El Niño-Southern Oscillation exerts a large influence on global climate regimes and on the global carbon cycle. Although El Niño is known to be associated with a reduction of the global total land carbon sink, results based on prognostic models or measurements disagree over the relative contribution of photosynthesis to the reduced sink. Here, we provide an independent remote sensing-based analysis on the impact of the 2015-2016 El Niño on global photosynthesis using six global satellite-based photosynthesis products and a global solar-induced fluorescence (SIF) dataset. An ensemble of satellite-based photosynthesis products showed a negative anomaly of -0.7 ± 1.2 PgC in 2015, but a slight positive anomaly of 0.05 ± 0.89 PgC in 2016, which when combined with observations of the growth rate of atmospheric carbon dioxide concentrations suggests that the reduction of the land residual sink was likely dominated by photosynthesis in 2015 but by respiration in 2016. The six satellite-based products unanimously identified a major photosynthesis reduction of -1.1 ± 0.52 PgC from savannahs in 2015 and 2016, followed by a highly uncertain reduction of -0.22 ± 0.98 PgC from rainforests. Vegetation in the Northern Hemisphere enhanced photosynthesis before and after the peak El Niño, especially in grasslands (0.33 ± 0.13 PgC). The patterns of satellite-based photosynthesis ensemble mean were corroborated by SIF, except in rainforests and South America, where the anomalies of satellite-based photosynthesis products also diverged the most. We found the inter-model variation of photosynthesis estimates was strongly related to the discrepancy between moisture forcings for models. These results highlight the importance of considering multiple photosynthesis proxies when assessing responses to climatic anomalies.This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.},
doi = {10.1098/rstb.2017.0409},
journal = {Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences},
number = 1760,
volume = 373,
place = {United States},
year = {Mon Oct 08 00:00:00 EDT 2018},
month = {Mon Oct 08 00:00:00 EDT 2018}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1098/rstb.2017.0409
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Cited by: 20 works
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Figures / Tables:

Figure 1 Figure 1: (a) The RS GPP and SIF anomalies from 2000 to 2016, relative to the time-average baseline GPP or SIF, for six RS GPP products and four SIF products; (b) The variability of detrended RS anomalies from 2000 to 2016, using the linear trend of RS GPP as themore » baselines. The anomalies of the two El Niño years 2015 and 2016 are labelled by vertical lines of different styles. The inset indicates the long-term variability of detrended GOMEA SIF, and the detrended anomalies of GOMEA SIF in 2015 and 2016.« less
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