Unveiling the impact of soil methane sink on atmospheric methane concentrations in 2020

Author:

Zhou Xiaoqi1ORCID,Xiao Wensheng1,Cheng Li1,Smaill Simeon J.2,Peng Shushi3ORCID

Affiliation:

1. Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences East China Normal University Shanghai China

2. Scion Christchurch New Zealand

3. College of Urban and Environmental Sciences Peking University Beijing China

Abstract

AbstractIn 2020, anthropogenic methane (CH4) emissions decreased due to COVID‐19 containment policies, but there was a substantial increase in the concentration of atmospheric CH4. Previous research suggested that this abnormal increase was linked to higher wetland CH4 emissions and a decrease in the atmospheric CH4 sink. However, the impact of changes in the soil CH4 sink remained unknown. To address this, we utilized a process‐based model to quantify alterations in the soil CH4 sink of terrestrial ecosystems between 2019 and 2020. By implementing the model with various datasets, we consistently observed an increase in the global soil CH4 sink, reaching up to 0.35 ± 0.06 Tg in 2020 compared to 2019. This increase was primarily attributed to warmer soil temperatures in northern high latitudes. Our results emphasize the importance of considering the CH4 sink in terrestrial ecosystems, as neglecting this component can lead to an underestimation of both emission increases and reductions in atmospheric CH4 sink capacity. Furthermore, these findings highlight the potential role of increased soil warmth in terrestrial ecosystems in slowing the growth of CH4 concentrations in the atmosphere.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Reference22 articles.

1. Environmental and anthropogenic drivers of soil methane fluxes in forests: Global patterns and among‐biomes differences

2. Global Modeling and Assimilation Office (GMAO). (2015).MERRA‐2 tavg1_2d_flx_Nx: 2d 1‐hourly time‐averaged single‐level assimilation surface flux diagnostics V5.12.4. Goddard Space Flight Center Distributed Active Archive Center (GSFC DAAC).https://doi.org/10.5067/7MCPBJ41Y0K6

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