Ramirez, JA, Peleg, N, Baird, AJ orcid.org/0000-0001-8198-3229 et al. (4 more authors) (2023) Modelling peatland development in high-boreal Quebec, Canada, with DigiBog_Boreal. Ecological Modelling, 478. 110298. ISSN 0304-3800
Abstract
DigiBog is a numerical model that simulates peat accumulation in temperate peatlands. Here, we modify DigiBog for boreal peatlands (DigiBog_Boreal) by accounting for snow cover, short growing seasons and groundwater exchanges between the peat and the aquifer. DigiBog_Boreal is then used to replicate ∼6500 years of peat accumulation at two high boreal latitude peatlands in Quebec, Canada. DigiBog_Boreal was driven with a weather generator and climate models, while peat cores from the sites were used to develop initial conditions and calibrate DigiBog_Boreal. Our results demonstrate that DigiBog_Boreal can replicate well peat thickness and age-depth profiles but cannot produce long-term fluctuations in water-table depths. Here, a possible explanation for DigiBog_Boreal's underperformance is the stability in the climatic drivers and less likely the new model developments. The results also indicate that peat decomposition and accumulation in DigiBog_Boreal are sensitive to water stored on the peat surface.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Published by Elsevier B.V. This is an author produced version of an article published in Ecological Modelling. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Peatland, DigiBog model, High boreal latitudes, Ecohydrology, Holocene, Carbon dynamics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Apr 2023 08:25 |
Last Modified: | 08 Feb 2024 14:57 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.ecolmodel.2023.110298 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198244 |
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