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
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/bg-14-2571-2017
https://www.biogeosciences.net/14/2571/2017/
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spelling ftcopernicus:oai:publications.copernicus.org:bg53990 2023-05-15T15:00:36+02:00 Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model Chaudhary, Nitin Miller, Paul A. Smith, Benjamin 2018-09-27 application/pdf https://doi.org/10.5194/bg-14-2571-2017 https://www.biogeosciences.net/14/2571/2017/ eng eng doi:10.5194/bg-14-2571-2017 https://www.biogeosciences.net/14/2571/2017/ eISSN: 1726-4189 Text 2018 ftcopernicus https://doi.org/10.5194/bg-14-2571-2017 2019-12-24T09:51:26Z 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 <q>Arctic</q> 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 CO 2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils. Text Arctic Climate change permafrost Copernicus Publications: E-Journals 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 Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 <q>Arctic</q> 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 CO 2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils.
format Text
author Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin
spellingShingle Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin
Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model
author_facet Chaudhary, Nitin
Miller, Paul A.
Smith, Benjamin
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
publishDate 2018
url https://doi.org/10.5194/bg-14-2571-2017
https://www.biogeosciences.net/14/2571/2017/
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_source eISSN: 1726-4189
op_relation doi:10.5194/bg-14-2571-2017
https://www.biogeosciences.net/14/2571/2017/
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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