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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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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1766332947641663488 |