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 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.
Originalsprog | Engelsk |
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Artikelnummer | 110359 |
Tidsskrift | Agricultural and Forest Meteorology |
Vol/bind | 362 |
Antal sider | 16 |
ISSN | 0168-1923 |
DOI | |
Status | Udgivet - 2025 |
Bibliografisk note
Funding Information:We want to acknowledge Yijing Liu, Ludovica D'Imperio, and Cecilie Skov Nielsen who provide measurements in the fen site in Bl\u00E6sedalen and all the model developers of CoupModel. BZ was supported by China Scholarship Council ( 202206160021 ). PW has been supported by National Natural Science Foundation of China ( 32201360 ). This work is additionally funded by Swedish Research Council VR 2020-05338 .
Funding Information:
We want to acknowledge Yijing Liu, Ludovica D'Imperio, and Cecilie Skov Nielsen who provided measurements in the fen site in Bl\u00E6sedalen and all the people been involved in developing the CoupModel. BZ is supported by China Scholarship Council (202206160021). PW is supported by National Natural Science Foundation of China (32201360). This work is additionally funded by Swedish Research Council VR (2020-05338).
Publisher Copyright:
© 2024 The Author(s)