Modelling Holocene peatland dynamics
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, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at hig...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.875116 2023-05-15T15:02:12+02:00 Modelling Holocene peatland dynamics Chaudhary, Nitin Miller, Paul A Smith, Benjamin MEDIAN LATITUDE: 56.869500 * MEDIAN LONGITUDE: -28.233500 * SOUTH-BOUND LATITUDE: 45.389000 * WEST-BOUND LONGITUDE: -75.517000 * NORTH-BOUND LATITUDE: 68.350000 * EAST-BOUND LONGITUDE: 19.050000 * MINIMUM ELEVATION: 350.0 m * MAXIMUM ELEVATION: 350.0 m 2017-05-12 text/tab-separated-values, 8 data points https://doi.pangaea.de/10.1594/PANGAEA.875116 https://doi.org/10.1594/PANGAEA.875116 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.875116 https://doi.org/10.1594/PANGAEA.875116 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Chaudhary, Nitin; Miller, Paul A; Smith, Benjamin (2016): Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model. Biogeosciences Discussions, 1-46, https://doi.org/10.5194/bg-2016-319 Event label File format File name File size Mer_Bleue PEATC Peat corer Stordalen_1 Stordalen_core1 Sweden Uniform resource locator/link to file Dataset 2017 ftpangaea https://doi.org/10.1594/PANGAEA.875116 https://doi.org/10.5194/bg-2016-319 2023-01-20T09:09:01Z 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, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at high latitudes. We demonstrate a new implementation of peatland dynamics in a customised "Arctic" version of the dynamic vegetation model LPJ-GUESS, 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, dwarf 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 CO2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils. Dataset Arctic Climate change PANGAEA - Data Publisher for Earth & Environmental Science Arctic Canada Bleue ENVELOPE(141.406,141.406,-66.819,-66.819) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) ENVELOPE(-75.517000,19.050000,68.350000,45.389000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Event label File format File name File size Mer_Bleue PEATC Peat corer Stordalen_1 Stordalen_core1 Sweden Uniform resource locator/link to file |
spellingShingle |
Event label File format File name File size Mer_Bleue PEATC Peat corer Stordalen_1 Stordalen_core1 Sweden Uniform resource locator/link to file Chaudhary, Nitin Miller, Paul A Smith, Benjamin Modelling Holocene peatland dynamics |
topic_facet |
Event label File format File name File size Mer_Bleue PEATC Peat corer Stordalen_1 Stordalen_core1 Sweden Uniform resource locator/link to file |
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, current DGVMs lack functionality for the representation of peatlands, an important store of carbon at high latitudes. We demonstrate a new implementation of peatland dynamics in a customised "Arctic" version of the dynamic vegetation model LPJ-GUESS, 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, dwarf 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 CO2 fertilization effect, turning into a carbon source after mid-century because of higher decomposition rates in response to warming soils. |
format |
Dataset |
author |
Chaudhary, Nitin Miller, Paul A Smith, Benjamin |
author_facet |
Chaudhary, Nitin Miller, Paul A Smith, Benjamin |
author_sort |
Chaudhary, Nitin |
title |
Modelling Holocene peatland dynamics |
title_short |
Modelling Holocene peatland dynamics |
title_full |
Modelling Holocene peatland dynamics |
title_fullStr |
Modelling Holocene peatland dynamics |
title_full_unstemmed |
Modelling Holocene peatland dynamics |
title_sort |
modelling holocene peatland dynamics |
publisher |
PANGAEA |
publishDate |
2017 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.875116 https://doi.org/10.1594/PANGAEA.875116 |
op_coverage |
MEDIAN LATITUDE: 56.869500 * MEDIAN LONGITUDE: -28.233500 * SOUTH-BOUND LATITUDE: 45.389000 * WEST-BOUND LONGITUDE: -75.517000 * NORTH-BOUND LATITUDE: 68.350000 * EAST-BOUND LONGITUDE: 19.050000 * MINIMUM ELEVATION: 350.0 m * MAXIMUM ELEVATION: 350.0 m |
long_lat |
ENVELOPE(141.406,141.406,-66.819,-66.819) ENVELOPE(7.337,7.337,62.510,62.510) ENVELOPE(-75.517000,19.050000,68.350000,45.389000) |
geographic |
Arctic Canada Bleue Stordalen |
geographic_facet |
Arctic Canada Bleue Stordalen |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Supplement to: Chaudhary, Nitin; Miller, Paul A; Smith, Benjamin (2016): Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model. Biogeosciences Discussions, 1-46, https://doi.org/10.5194/bg-2016-319 |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.875116 https://doi.org/10.1594/PANGAEA.875116 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/PANGAEA.875116 https://doi.org/10.5194/bg-2016-319 |
_version_ |
1766334183331856384 |