Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest
The natural carbon dioxide (CO 2 ) emission from the ecosystem, also termed as the ecosystem respiration (R eco ), is the primary natural source of atmospheric CO 2 . The contemporary models rely on empirical functions to represent decomposition of litter with multiple soil carbon pools decaying at...
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Online Access: | http://dx.doi.org/10.3389/fenvs.2022.898199 https://www.frontiersin.org/articles/10.3389/fenvs.2022.898199/full |
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crfrontiers:10.3389/fenvs.2022.898199 2024-04-21T07:56:34+00:00 Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest Bhanja, Soumendra N. Wang, Junye Bol, Roland 2022 http://dx.doi.org/10.3389/fenvs.2022.898199 https://www.frontiersin.org/articles/10.3389/fenvs.2022.898199/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Environmental Science volume 10 ISSN 2296-665X General Environmental Science journal-article 2022 crfrontiers https://doi.org/10.3389/fenvs.2022.898199 2024-03-26T08:35:31Z The natural carbon dioxide (CO 2 ) emission from the ecosystem, also termed as the ecosystem respiration (R eco ), is the primary natural source of atmospheric CO 2 . The contemporary models rely on empirical functions to represent decomposition of litter with multiple soil carbon pools decaying at different rates in estimating R eco variations and its partitioning into autotrophic (R a ) (originating from plants) and heterotrophic (originating mostly from microorganisms) respiration (R h ) 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 R a , R h and R eco . Modeled annual mean R eco 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 R a , R h and soil CO 2 emission (R s ) 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. R s generally dominates R eco 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 R eco 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. Article in Journal/Newspaper Athabasca River Subarctic Frontiers (Publisher) Frontiers in Environmental Science 10 |
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General Environmental Science Bhanja, Soumendra N. Wang, Junye Bol, Roland Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
topic_facet |
General Environmental Science |
description |
The natural carbon dioxide (CO 2 ) emission from the ecosystem, also termed as the ecosystem respiration (R eco ), is the primary natural source of atmospheric CO 2 . The contemporary models rely on empirical functions to represent decomposition of litter with multiple soil carbon pools decaying at different rates in estimating R eco variations and its partitioning into autotrophic (R a ) (originating from plants) and heterotrophic (originating mostly from microorganisms) respiration (R h ) 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 R a , R h and R eco . Modeled annual mean R eco 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 R a , R h and soil CO 2 emission (R s ) 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. R s generally dominates R eco 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 R eco 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. |
format |
Article in Journal/Newspaper |
author |
Bhanja, Soumendra N. Wang, Junye Bol, Roland |
author_facet |
Bhanja, Soumendra N. Wang, Junye Bol, Roland |
author_sort |
Bhanja, Soumendra N. |
title |
Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
title_short |
Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
title_full |
Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
title_fullStr |
Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
title_full_unstemmed |
Soil CO2 Emission Largely Dominates the Total Ecosystem CO2 Emission at Canadian Boreal Forest |
title_sort |
soil co2 emission largely dominates the total ecosystem co2 emission at canadian boreal forest |
publisher |
Frontiers Media SA |
publishDate |
2022 |
url |
http://dx.doi.org/10.3389/fenvs.2022.898199 https://www.frontiersin.org/articles/10.3389/fenvs.2022.898199/full |
genre |
Athabasca River Subarctic |
genre_facet |
Athabasca River Subarctic |
op_source |
Frontiers in Environmental Science volume 10 ISSN 2296-665X |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fenvs.2022.898199 |
container_title |
Frontiers in Environmental Science |
container_volume |
10 |
_version_ |
1796938532662542336 |