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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ftdoajarticles:oai:doaj.org/article:4b72bfea7d004a0fb8dc7e28f017b9f3 2023-05-15T15:00:51+02:00 Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model N. Chaudhary P. A. Miller B. Smith 2017-05-01T00:00:00Z https://doi.org/10.5194/bg-14-2571-2017 https://doaj.org/article/4b72bfea7d004a0fb8dc7e28f017b9f3 EN eng Copernicus Publications http://www.biogeosciences.net/14/2571/2017/bg-14-2571-2017.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-14-2571-2017 https://doaj.org/article/4b72bfea7d004a0fb8dc7e28f017b9f3 Biogeosciences, Vol 14, Iss 10, Pp 2571-2596 (2017) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2017 ftdoajarticles https://doi.org/10.5194/bg-14-2571-2017 2022-12-31T06:32:11Z 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. Article in Journal/Newspaper Arctic Climate change permafrost Directory of Open Access Journals: DOAJ Articles Arctic Canada Bleue ENVELOPE(141.406,141.406,-66.819,-66.819) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) Biogeosciences 14 10 2571 2596 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 N. Chaudhary P. A. Miller B. Smith Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
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 |
Article in Journal/Newspaper |
author |
N. Chaudhary P. A. Miller B. Smith |
author_facet |
N. Chaudhary P. A. Miller B. Smith |
author_sort |
N. Chaudhary |
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 |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/bg-14-2571-2017 https://doaj.org/article/4b72bfea7d004a0fb8dc7e28f017b9f3 |
long_lat |
ENVELOPE(141.406,141.406,-66.819,-66.819) ENVELOPE(7.337,7.337,62.510,62.510) |
geographic |
Arctic Canada Bleue Stordalen |
geographic_facet |
Arctic Canada Bleue Stordalen |
genre |
Arctic Climate change permafrost |
genre_facet |
Arctic Climate change permafrost |
op_source |
Biogeosciences, Vol 14, Iss 10, Pp 2571-2596 (2017) |
op_relation |
http://www.biogeosciences.net/14/2571/2017/bg-14-2571-2017.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-14-2571-2017 https://doaj.org/article/4b72bfea7d004a0fb8dc7e28f017b9f3 |
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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