Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits

Abstract COmplex Model of BOg LAndscapes (COMBOLA) is a set of dynamic models of carbon and nitrogen turnover, net ecosystem exchange, water balance, heat and water transport, generation and transfer of CO 2 and CH 4 in a peat deposit on a number of time scales. Combined modeling of carbon turnover...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Zavalishin, N N
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2022
Subjects:
Online Access:http://dx.doi.org/10.1088/1755-1315/1093/1/012009
https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009
https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009/pdf
id crioppubl:10.1088/1755-1315/1093/1/012009
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spelling crioppubl:10.1088/1755-1315/1093/1/012009 2024-06-02T08:15:10+00:00 Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits Zavalishin, N N 2022 http://dx.doi.org/10.1088/1755-1315/1093/1/012009 https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009 https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 1093, issue 1, page 012009 ISSN 1755-1307 1755-1315 journal-article 2022 crioppubl https://doi.org/10.1088/1755-1315/1093/1/012009 2024-05-07T13:57:02Z Abstract COmplex Model of BOg LAndscapes (COMBOLA) is a set of dynamic models of carbon and nitrogen turnover, net ecosystem exchange, water balance, heat and water transport, generation and transfer of CO 2 and CH 4 in a peat deposit on a number of time scales. Combined modeling of carbon turnover and carbon dioxide emission from peat deposits on an annual time scale is carried out as part of COMBOLA for several bog landscapes in Western-Siberian south taiga. One-dimensional vertical reaction-diffusion model for carbon dioxide emission from peat deposit is combined with compartment carbon cycle model allowing estimate both bog type vegetation changes and greenhouse gases balance under probable climate change or perturbations initiated by human activities. Water table level (WTL) separating aerobic peat layer from the anaerobic one is calculated by means of the whole peat layer depth and its water balance relations. Minimal statistical information is used for calibrating temperature dependencies together with coefficients of heat and water transfer equations. The stationary states of carbon cycle are accompanied by steady average profiles of carbon dioxide concentration and can loose stability under human or climatic perturbations. The model dynamics is simulated with several climatic projections of the IPSL atmospheric circulation model for 21 st century with anthropogenic scenarios RCP-2.6 and RCP-8.5. Article in Journal/Newspaper taiga IOP Publishing IOP Conference Series: Earth and Environmental Science 1093 1 012009
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract COmplex Model of BOg LAndscapes (COMBOLA) is a set of dynamic models of carbon and nitrogen turnover, net ecosystem exchange, water balance, heat and water transport, generation and transfer of CO 2 and CH 4 in a peat deposit on a number of time scales. Combined modeling of carbon turnover and carbon dioxide emission from peat deposits on an annual time scale is carried out as part of COMBOLA for several bog landscapes in Western-Siberian south taiga. One-dimensional vertical reaction-diffusion model for carbon dioxide emission from peat deposit is combined with compartment carbon cycle model allowing estimate both bog type vegetation changes and greenhouse gases balance under probable climate change or perturbations initiated by human activities. Water table level (WTL) separating aerobic peat layer from the anaerobic one is calculated by means of the whole peat layer depth and its water balance relations. Minimal statistical information is used for calibrating temperature dependencies together with coefficients of heat and water transfer equations. The stationary states of carbon cycle are accompanied by steady average profiles of carbon dioxide concentration and can loose stability under human or climatic perturbations. The model dynamics is simulated with several climatic projections of the IPSL atmospheric circulation model for 21 st century with anthropogenic scenarios RCP-2.6 and RCP-8.5.
format Article in Journal/Newspaper
author Zavalishin, N N
spellingShingle Zavalishin, N N
Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
author_facet Zavalishin, N N
author_sort Zavalishin, N N
title Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
title_short Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
title_full Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
title_fullStr Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
title_full_unstemmed Coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
title_sort coupled modeling of peatlands carbon cycle and carbon dioxide emission from their peat deposits
publisher IOP Publishing
publishDate 2022
url http://dx.doi.org/10.1088/1755-1315/1093/1/012009
https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009
https://iopscience.iop.org/article/10.1088/1755-1315/1093/1/012009/pdf
genre taiga
genre_facet taiga
op_source IOP Conference Series: Earth and Environmental Science
volume 1093, issue 1, page 012009
ISSN 1755-1307 1755-1315
op_rights http://creativecommons.org/licenses/by/3.0/
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1755-1315/1093/1/012009
container_title IOP Conference Series: Earth and Environmental Science
container_volume 1093
container_issue 1
container_start_page 012009
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