Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest

Soumendra N. Bhanja, Junye Wang, Roland Bol

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The natural carbon dioxide (CO2) emission from the ecosystem, also termed as the ecosystem respiration (Reco), is the primary natural source of atmospheric CO2. The contemporary models rely on empirical functions to represent decomposition of litter with multiple soil carbon pools decaying at different rates in estimating Reco variations and its partitioning into autotrophic (Ra) (originating from plants) and heterotrophic (originating mostly from microorganisms) respiration (Rh) in relation to variation in temperature and soil water content. Microbially-mediated litter decomposition scheme representation are not very popular yet. However, microbial enzymatic processes play integral role in litter as well as soil organic matter (SOM) decomposition. Here we developed a mechanistic model comprising of multiple hydro-biogeochemical modules in the soil and water assessment tool (SWAT) code to explicitly incorporate microbial-enzymatic litter decomposition and decomposition of SOM for separately estimating regional-scale Ra, Rh and Reco. Modeled annual mean Reco values are found varying from 1,600 to 8,200 kg C ha−1 yr−1 in 2000–2013 within the boreal forest covered sub-basins of the Athabasca River Basin (ARB), Canada. While, for the 2000–2013 period, the annual mean Ra, Rh and soil CO2 emission (Rs) are varying within 800–6,000 kg C ha−1 yr−1, 700–4,200 kg C ha−1 yr−1 and 1,200–5,000 kg C ha−1 yr−1, respectively. Rs generally dominates Reco with nearly 60–90% contribution in most of the sub-basins in ARB. The model estimates corroborate well with the site-scale and satellite-based estimates reported at similar land use and climatic regions. Mechanistic modeling of Reco and its components are critical to understanding future climate change feedbacks and to help reduce uncertainties particularly in the boreal and subarctic regions that has huge soil carbon store.

Original languageEnglish
Article number898199
JournalFrontiers in Environmental Science
Volume10
DOIs
StatePublished - Jun 28 2022
Externally publishedYes

Funding

This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors. SB. acknowledges support from the Indian Institute of Science in the form of C. V. Raman Postdoctoral Fellowship for partly carrying out the study. JW. would like to thank the Alberta Economic Development and Trade for the Campus Alberta Innovates Program Research Chair (No. RCP-12-001-BCAIP). The authors acknowledge FLUXNET and SRDB network for making their data available to public. We appreciate the MODIS land team for the MOD17 GPP and NPP data. This is a short text to acknowledge the contributions of specific colleagues, institutions, or agencies that aided the efforts of the authors. SB. acknowledges support from the Indian Institute of Science in the form of C. V. Raman Postdoctoral Fellowship for partly carrying out the study. JW. would like to thank the Alberta Economic Development and Trade for the Campus Alberta Innovates Program Research Chair (No. RCP-12-001-BCAIP). The authors acknowledge FLUXNET and SRDB network for making their data available to public. We appreciate the MODIS land team for the MOD17 GPP and NPP data.

Keywords

  • SWAT (soil and water assessment tool)
  • ecosystem respiration
  • litter decomposition
  • respiration modeling
  • root respiration
  • soil respiration

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