Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model

Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, most DGVMs do not yet have detailed representations of permafrost and non-permafrost peatlands, which are...

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Published in:Biogeosciences
Main Authors: Chaudhary, Nitin, Miller, Paul A., Smith, Benjamin (R19508)
Other Authors: Hawkesbury Institute for the Environment (Host institution)
Format: Article in Journal/Newspaper
Language:English
Published: Germany, Copernicus 2017
Subjects:
Online Access:https://doi.org/10.5194/bg-14-2571-2017
http://handle.westernsydney.edu.au:8081/1959.7/uws:48467
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spelling ftunivwestsyd:oai:researchdirect.westernsydney.edu.au:uws_48467 2023-05-15T15:00:54+02:00 Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model Chaudhary, Nitin Miller, Paul A. Smith, Benjamin (R19508) Hawkesbury Institute for the Environment (Host institution) 2017 print 27 https://doi.org/10.5194/bg-14-2571-2017 http://handle.westernsydney.edu.au:8081/1959.7/uws:48467 eng eng Germany, Copernicus Biogeosciences--1726-4170--1726-4189 Vol. 14 Issue. 10 No. pp: 2571-2596 © Author(s) 2017. CC Attribution 3.0 License. CC-BY XXXXXX - Unknown peatlands permafrost climatic changes vegetation dynamics Holocene Geologic Period journal article 2017 ftunivwestsyd https://doi.org/10.5194/bg-14-2571-2017 2020-12-05T17:54:31Z Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, most DGVMs do not yet have detailed representations of permafrost and non-permafrost peatlands, which are an important store of carbon, particularly at high latitudes. We demonstrate a new implementation of peatland dynamics in a customized “Arctic” version of the LPJ-GUESS DGVM, simulating the long-term evolution of selected northern peatland ecosystems and assessing the effect of changing climate on peatland carbon balance. Our approach employs a dynamic multi-layer soil with representation of freeze–thaw processes and litter inputs from a dynamically varying mixture of the main peatland plant functional types: mosses, shrubs and graminoids. The model was calibrated and tested for a sub-Arctic mire in Stordalen, Sweden, and validated at a temperate bog site in Mer Bleue, Canada. A regional evaluation of simulated carbon fluxes, hydrology and vegetation dynamics encompassed additional locations spread across Scandinavia. Simulated peat accumulation was found to be generally consistent with published data and the model was able to capture reported long-term vegetation dynamics, water table position and carbon fluxes. A series of sensitivity experiments were carried out to investigate the vulnerability of high-latitude peatlands to climate change. We found that the Stordalen mire may be expected to sequester more carbon in the first half of the 21st century due to milder and wetter climate conditions, a longer growing season, and the CO2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils. Article in Journal/Newspaper Arctic Climate change permafrost University of Western Sydney (UWS): Research Direct Arctic Bleue ENVELOPE(141.406,141.406,-66.819,-66.819) Canada Stordalen ENVELOPE(7.337,7.337,62.510,62.510) Biogeosciences 14 10 2571 2596
institution Open Polar
collection University of Western Sydney (UWS): Research Direct
op_collection_id ftunivwestsyd
language English
topic XXXXXX - Unknown
peatlands
permafrost
climatic changes
vegetation dynamics
Holocene Geologic Period
spellingShingle XXXXXX - Unknown
peatlands
permafrost
climatic changes
vegetation dynamics
Holocene Geologic Period
Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin (R19508)
Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
topic_facet XXXXXX - Unknown
peatlands
permafrost
climatic changes
vegetation dynamics
Holocene Geologic Period
description Dynamic global vegetation models (DGVMs) are designed for the study of past, present and future vegetation patterns together with associated biogeochemical cycles and climate feedbacks. However, most DGVMs do not yet have detailed representations of permafrost and non-permafrost peatlands, which are an important store of carbon, particularly at high latitudes. We demonstrate a new implementation of peatland dynamics in a customized “Arctic” version of the LPJ-GUESS DGVM, simulating the long-term evolution of selected northern peatland ecosystems and assessing the effect of changing climate on peatland carbon balance. Our approach employs a dynamic multi-layer soil with representation of freeze–thaw processes and litter inputs from a dynamically varying mixture of the main peatland plant functional types: mosses, shrubs and graminoids. The model was calibrated and tested for a sub-Arctic mire in Stordalen, Sweden, and validated at a temperate bog site in Mer Bleue, Canada. A regional evaluation of simulated carbon fluxes, hydrology and vegetation dynamics encompassed additional locations spread across Scandinavia. Simulated peat accumulation was found to be generally consistent with published data and the model was able to capture reported long-term vegetation dynamics, water table position and carbon fluxes. A series of sensitivity experiments were carried out to investigate the vulnerability of high-latitude peatlands to climate change. We found that the Stordalen mire may be expected to sequester more carbon in the first half of the 21st century due to milder and wetter climate conditions, a longer growing season, and the CO2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils.
author2 Hawkesbury Institute for the Environment (Host institution)
format Article in Journal/Newspaper
author Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin (R19508)
author_facet Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin (R19508)
author_sort Chaudhary, Nitin
title Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
title_short Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
title_full Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
title_fullStr Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
title_full_unstemmed Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
title_sort modelling holocene peatland dynamics with an individual-based dynamic vegetation model
publisher Germany, Copernicus
publishDate 2017
url https://doi.org/10.5194/bg-14-2571-2017
http://handle.westernsydney.edu.au:8081/1959.7/uws:48467
long_lat ENVELOPE(141.406,141.406,-66.819,-66.819)
ENVELOPE(7.337,7.337,62.510,62.510)
geographic Arctic
Bleue
Canada
Stordalen
geographic_facet Arctic
Bleue
Canada
Stordalen
genre Arctic
Climate change
permafrost
genre_facet Arctic
Climate change
permafrost
op_relation Biogeosciences--1726-4170--1726-4189 Vol. 14 Issue. 10 No. pp: 2571-2596
op_rights © Author(s) 2017. CC Attribution 3.0 License.
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/bg-14-2571-2017
container_title Biogeosciences
container_volume 14
container_issue 10
container_start_page 2571
op_container_end_page 2596
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