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Predicting CO2 and CH4 fluxes and their seasonal variations in a subarctic wetland under two shared socioeconomic pathway climate scenarios

Zhao, Bingqian LU ; Zhang, Wenxin LU orcid ; Wang, Peiyan ; D'Imperio, Ludovica ; Liu, Yijing and Elberling, Bo (2025) In Agricultural and Forest Meteorology 362.
Abstract

The Arctic is undergoing a shift toward a warmer and wetter climate. Recent experiments indicate that the carbon balance of subarctic wet tundra is sensitive to both summer warming and deeper snow. However, few studies have combined experimental data with process-oriented models to predict how the terrestrial carbon cycle will respond to future climate change. Here, we use CoupModel, a process-oriented model, to investigate CO2 and CH4 dynamics in a subarctic wet tundra ecosystem under two contrasting climate change scenarios over the 21st century. Our findings show that the model successfully reproduced the treatment effects of warming on CO2 and CH4 fluxes comparing to... (More)

The Arctic is undergoing a shift toward a warmer and wetter climate. Recent experiments indicate that the carbon balance of subarctic wet tundra is sensitive to both summer warming and deeper snow. However, few studies have combined experimental data with process-oriented models to predict how the terrestrial carbon cycle will respond to future climate change. Here, we use CoupModel, a process-oriented model, to investigate CO2 and CH4 dynamics in a subarctic wet tundra ecosystem under two contrasting climate change scenarios over the 21st century. Our findings show that the model successfully reproduced the treatment effects of warming on CO2 and CH4 fluxes comparing to measurements from control, open top chambers and snow addition plots. For 2014–2020, the studied ecosystem functioned as a minor source of CH4 and a neutral balance of CO2, resulting in the overall greenhouse gas emissions of 10.5 ± 79.1 g CO2-eq m-2 yr-1. The calibrated model was used to predict CO2 and CH4 fluxes and their seasonal variations under future climate scenarios. By 2100, a warmer climate could enhance the mean annual sink strength of CO2 to 10.7 g C-CO2 m-2 yr-1 under SSP126 (Shared Socioeconomic Pathway 1 and the radiative forcing level of 2.6 W m-2) and 26.2 g C-CO2 m-2 yr-1 under SSP585 (Shared Socioeconomic Pathway 5 and the radiative forcing level of 8.5 W/m²). However, increasing trends in the CH4 budget were marginally small. The negligible response of CH4 emission can be mainly explained by insignificantly wetter climate and limited soil C stock. For the radiative balance of the ecosystem, CO2-equivalent flux of methane offset 78% of CO2 sink in SSP126, and 31% in SSP585. Overall, the subarctic wet tundra transitions from being a source to a sink for greenhouse gases, excluding N2O.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Ecosystem modelling, Future projection, Greenland, Methane, Net ecosystem exchange, Subarctic wetland
in
Agricultural and Forest Meteorology
volume
362
article number
110359
publisher
Elsevier
external identifiers
  • scopus:85211974366
ISSN
0168-1923
DOI
10.1016/j.agrformet.2024.110359
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 The Author(s)
id
2c6da49b-99e0-4b3a-aed8-32e68f87a9e6
date added to LUP
2024-12-28 23:12:17
date last changed
2025-04-04 15:15:00
@article{2c6da49b-99e0-4b3a-aed8-32e68f87a9e6,
  abstract     = {{<p>The Arctic is undergoing a shift toward a warmer and wetter climate. Recent experiments indicate that the carbon balance of subarctic wet tundra is sensitive to both summer warming and deeper snow. However, few studies have combined experimental data with process-oriented models to predict how the terrestrial carbon cycle will respond to future climate change. Here, we use CoupModel, a process-oriented model, to investigate CO<sub>2</sub> and CH<sub>4</sub> dynamics in a subarctic wet tundra ecosystem under two contrasting climate change scenarios over the 21<sup>st</sup> century. Our findings show that the model successfully reproduced the treatment effects of warming on CO<sub>2</sub> and CH<sub>4</sub> fluxes comparing to measurements from control, open top chambers and snow addition plots. For 2014–2020, the studied ecosystem functioned as a minor source of CH<sub>4</sub> and a neutral balance of CO<sub>2</sub>, resulting in the overall greenhouse gas emissions of 10.5 ± 79.1 g CO<sub>2</sub>-eq m<sup>-2</sup> yr<sup>-1</sup>. The calibrated model was used to predict CO<sub>2</sub> and CH<sub>4</sub> fluxes and their seasonal variations under future climate scenarios. By 2100, a warmer climate could enhance the mean annual sink strength of CO<sub>2</sub> to 10.7 g C-CO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> under SSP126 (Shared Socioeconomic Pathway 1 and the radiative forcing level of 2.6 W m<sup>-2</sup>) and 26.2 g C-CO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> under SSP585 (Shared Socioeconomic Pathway 5 and the radiative forcing level of 8.5 W/m²). However, increasing trends in the CH<sub>4</sub> budget were marginally small. The negligible response of CH<sub>4</sub> emission can be mainly explained by insignificantly wetter climate and limited soil C stock. For the radiative balance of the ecosystem, CO<sub>2</sub>-equivalent flux of methane offset 78% of CO<sub>2</sub> sink in SSP126, and 31% in SSP585. Overall, the subarctic wet tundra transitions from being a source to a sink for greenhouse gases, excluding N<sub>2</sub>O.</p>}},
  author       = {{Zhao, Bingqian and Zhang, Wenxin and Wang, Peiyan and D'Imperio, Ludovica and Liu, Yijing and Elberling, Bo}},
  issn         = {{0168-1923}},
  keywords     = {{Ecosystem modelling; Future projection; Greenland; Methane; Net ecosystem exchange; Subarctic wetland}},
  language     = {{eng}},
  month        = {{03}},
  publisher    = {{Elsevier}},
  series       = {{Agricultural and Forest Meteorology}},
  title        = {{Predicting CO<sub>2</sub> and CH<sub>4</sub> fluxes and their seasonal variations in a subarctic wetland under two shared socioeconomic pathway climate scenarios}},
  url          = {{http://dx.doi.org/10.1016/j.agrformet.2024.110359}},
  doi          = {{10.1016/j.agrformet.2024.110359}},
  volume       = {{362}},
  year         = {{2025}},
}