Environmental controls of winter soil carbon dioxide fluxes in boreal and tundra environments

Alex Mavrovic*, Oliver Sonnentag, Juha Lemmetyinen, Carolina Voigt, Nick Rutter, Paul Mann, Jean-Daniel Sylvain, Alexandre Roy

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
36 Downloads (Pure)

Abstract

The carbon cycle in Arctic-boreal regions (ABR) is an important component of the planetary carbon balance, with growing concerns about the consequences of ABR warming on the global climate system. The greatest uncertainty in annual carbon dioxide (CO2) budgets exists during winter, primarily due to challenges with data availability and limited spatial coverage in measurements. The goal of this study was to determine the main environmental controls of winter CO2 fluxes in ABR over a latitudinal gradient (45N to 69N) featuring four different ecosystem types: closed-crown coniferous boreal forest, open-crown coniferous boreal forest, erect-shrub tundra, and prostrate-shrub tundra. CO2 fluxes calculated using a snowpack diffusion gradient method (n = 560) ranged from 0 to 1.05 gC m2 day-1. To assess the dominant environmental controls governing CO2 fluxes, a Random Forest machine learning approach was used. We identified soil temperature as the main control of winter CO2 fluxes with 68% of relative model importance, except when soil liquid water occurred during zero-degree Celsius curtain conditions (i.e., Tsoil ≈ 0°C and liquid water coexist with ice in soil pores). Under zero-curtain conditions, liquid water content became the main control of CO2 fluxes with 87% of relative model importance. We observed exponential regressions between CO2 fluxes and soil temperature in fully frozen soils (RMSE = 0.024 gC m-2 day-1; 70.3% of mean FCO2) and soils around freezing point (RMSE = 0.286 gC m-2 day-1; 112.4% of mean FCO2). FCO2 increases more rapidly with Tsoil around freezing point than at Tsoil < 5oC. In zero-curtain conditions, the strongest regression was found with soil liquid water content (RMSE = 0.137 gC m-2 day-1; 49.1% of mean FCO2). This study is showing the role of several variables on the spatio-temporal variability of CO2 fluxes in ABR during winter and highlight that the complex vegetation-snow-soil interactions in northern environments must be 35 considered when studying what drives the spatial variability of soil carbon emission during winter.
Original languageEnglish
Pages (from-to)5087–5108
Number of pages22
JournalBiogeosciences
Volume20
Issue number24
DOIs
Publication statusPublished - 20 Dec 2023

Keywords

  • Arctic-boreal regions
  • Carbon balance
  • Carbone dioxide flux
  • Random forest
  • Non-growing season
  • Winter
  • Soil temperature
  • Soil liquid water content,
  • Snow

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