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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Main Authors: Chaudhary, Nitin, Miller, Paul A, Smith, Benjamin
Format: Dataset
Language:English
Published: PANGAEA 2017
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.875116
https://doi.org/10.1594/PANGAEA.875116
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spelling 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
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