Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning
Extensive regions in the permafrost zone are projected to become climatically unsuitable to sustain permafrost peatlands over the next century, suggesting transformations in these landscapes that can leave large amounts of permafrost carbon vulnerable to post-thaw decomposition. We present 3 years o...
Published in: | Geophysical Research Letters |
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Online Access: | https://hdl.handle.net/11250/3141416 https://doi.org/10.1029/2024GL109283 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3141416 2024-09-15T18:25:50+00:00 Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning Pirk, Norbert Aalstad, Kristoffer Holmlund, Erik Schytt Clayer, Francois de Wit, Heleen Christiansen, Casper Tai Althuizen, Inge Lee, Hanna Westermann, Sebastian 2024 application/pdf https://hdl.handle.net/11250/3141416 https://doi.org/10.1029/2024GL109283 eng eng Wiley Norges forskningsråd: 160016 Norges forskningsråd: 294948 Norges forskningsråd: 323945 Norges forskningsråd: 301552 Geophysical Research Letters. 2024, 51 (10), 1-11. urn:issn:0094-8276 https://hdl.handle.net/11250/3141416 https://doi.org/10.1029/2024GL109283 cristin:2273142 Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no 1-11 51 Geophysical Research Letters 10 Journal article Peer reviewed 2024 ftntnutrondheimi https://doi.org/10.1029/2024GL109283 2024-07-18T23:30:57Z Extensive regions in the permafrost zone are projected to become climatically unsuitable to sustain permafrost peatlands over the next century, suggesting transformations in these landscapes that can leave large amounts of permafrost carbon vulnerable to post-thaw decomposition. We present 3 years of eddy covariance measurements of CH4 and CO2 fluxes from the degrading permafrost peatland Iškoras in Northern Norway, which we disaggregate into separate fluxes of palsa, pond, and fen areas using information provided by the dynamic flux footprint in a novel ensemble-based Bayesian deep neural network framework. The 3-year mean CO2-equivalent flux is estimated to be 106 gCO2 m−2 yr−1 for palsas, 1,780 gCO2 m−2 yr−1 for ponds, and −31 gCO2 m−2 yr−1 for fens, indicating that possible palsa degradation to thermokarst ponds would strengthen the local greenhouse gas forcing by a factor of about 17, while transformation into fens would slightly reduce the current local greenhouse gas forcing. publishedVersion Article in Journal/Newspaper Northern Norway palsa palsas permafrost Thermokarst NTNU Open Archive (Norwegian University of Science and Technology) Geophysical Research Letters 51 10 |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
Extensive regions in the permafrost zone are projected to become climatically unsuitable to sustain permafrost peatlands over the next century, suggesting transformations in these landscapes that can leave large amounts of permafrost carbon vulnerable to post-thaw decomposition. We present 3 years of eddy covariance measurements of CH4 and CO2 fluxes from the degrading permafrost peatland Iškoras in Northern Norway, which we disaggregate into separate fluxes of palsa, pond, and fen areas using information provided by the dynamic flux footprint in a novel ensemble-based Bayesian deep neural network framework. The 3-year mean CO2-equivalent flux is estimated to be 106 gCO2 m−2 yr−1 for palsas, 1,780 gCO2 m−2 yr−1 for ponds, and −31 gCO2 m−2 yr−1 for fens, indicating that possible palsa degradation to thermokarst ponds would strengthen the local greenhouse gas forcing by a factor of about 17, while transformation into fens would slightly reduce the current local greenhouse gas forcing. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Pirk, Norbert Aalstad, Kristoffer Holmlund, Erik Schytt Clayer, Francois de Wit, Heleen Christiansen, Casper Tai Althuizen, Inge Lee, Hanna Westermann, Sebastian |
spellingShingle |
Pirk, Norbert Aalstad, Kristoffer Holmlund, Erik Schytt Clayer, Francois de Wit, Heleen Christiansen, Casper Tai Althuizen, Inge Lee, Hanna Westermann, Sebastian Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
author_facet |
Pirk, Norbert Aalstad, Kristoffer Holmlund, Erik Schytt Clayer, Francois de Wit, Heleen Christiansen, Casper Tai Althuizen, Inge Lee, Hanna Westermann, Sebastian |
author_sort |
Pirk, Norbert |
title |
Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
title_short |
Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
title_full |
Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
title_fullStr |
Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
title_full_unstemmed |
Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning |
title_sort |
disaggregating the carbon exchange of degrading permafrost peatlands using bayesian deep learning |
publisher |
Wiley |
publishDate |
2024 |
url |
https://hdl.handle.net/11250/3141416 https://doi.org/10.1029/2024GL109283 |
genre |
Northern Norway palsa palsas permafrost Thermokarst |
genre_facet |
Northern Norway palsa palsas permafrost Thermokarst |
op_source |
1-11 51 Geophysical Research Letters 10 |
op_relation |
Norges forskningsråd: 160016 Norges forskningsråd: 294948 Norges forskningsråd: 323945 Norges forskningsråd: 301552 Geophysical Research Letters. 2024, 51 (10), 1-11. urn:issn:0094-8276 https://hdl.handle.net/11250/3141416 https://doi.org/10.1029/2024GL109283 cristin:2273142 |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no |
op_doi |
https://doi.org/10.1029/2024GL109283 |
container_title |
Geophysical Research Letters |
container_volume |
51 |
container_issue |
10 |
_version_ |
1810466310645088256 |