Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
The large spatial variability in Arctic tundra complicates the representative assessment of CO2 budgets. Accurate measurements of these heterogeneous landscapes are, however, essential to understanding their vulnerability to climate change. We surveyed a polygonal tundra lowland on Svalbard with an...
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Format: | Text |
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Digital Commons @ Michigan Tech
2017
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Online Access: | https://digitalcommons.mtu.edu/michigantech-p/3186 https://doi.org/10.5194/bg-14-3157-2017 https://digitalcommons.mtu.edu/context/michigantech-p/article/22488/viewcontent/bg_14_3157_2017.pdf |
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author | Pirk, Norbert Sievers, Jakob Mertes, Jordan Parmentier, Frans Jan W. Mastepanov, Mikhail Christensen, Torben R. |
author_facet | Pirk, Norbert Sievers, Jakob Mertes, Jordan Parmentier, Frans Jan W. Mastepanov, Mikhail Christensen, Torben R. |
author_sort | Pirk, Norbert |
collection | Michigan Technological University: Digital Commons @ Michigan Tech |
description | The large spatial variability in Arctic tundra complicates the representative assessment of CO2 budgets. Accurate measurements of these heterogeneous landscapes are, however, essential to understanding their vulnerability to climate change. We surveyed a polygonal tundra lowland on Svalbard with an unmanned aerial vehicle (UAV) that mapped ice-wedge morphology to complement eddy covariance (EC) flux measurements of CO2. The analysis of spectral distributions showed that conventional EC methods do not accurately capture the turbulent CO2 exchange with a spatially heterogeneous surface that typically features small flux magnitudes. Nonlocal (low-frequency) flux contributions were especially pronounced during snowmelt and introduced a large bias of -46 gCm-2 to the annual CO22 budget in conventional methods (the minus sign indicates a higher uptake by the ecosystem). Our improved flux calculations with the ogive optimization method indicated that the site was a strong sink for CO2 in 2015 (82 gCm2). Due to differences in light-use efficiency, wetter areas with lowcentered polygons sequestered 47% more CO2 than drier areas with flat-centered polygons. While Svalbard has experienced a strong increase in mean annual air temperature of more than 2K in the last few decades, historical aerial photographs from the site indicated stable ice-wedge morphology over the last 7 decades. Apparently, warming has thus far not been sufficient to initiate strong ice-wedge degradation, possibly due to the absence of extreme heat episodes in the maritime climate on Svalbard. However, in Arctic regions where ice-wedge degradation has already initiated the associated drying of landscapes, our results suggest a weakening of the CO2 sink in polygonal tundra. |
format | Text |
genre | Arctic Climate change Svalbard Tundra |
genre_facet | Arctic Climate change Svalbard Tundra |
geographic | Arctic Svalbard |
geographic_facet | Arctic Svalbard |
id | ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-22488 |
institution | Open Polar |
language | unknown |
op_collection_id | ftmichigantuniv |
op_doi | https://doi.org/10.5194/bg-14-3157-2017 |
op_relation | https://digitalcommons.mtu.edu/michigantech-p/3186 doi:10.5194/bg-14-3157-2017 https://digitalcommons.mtu.edu/context/michigantech-p/article/22488/viewcontent/bg_14_3157_2017.pdf |
op_rights | http://creativecommons.org/licenses/by/3.0/ |
op_source | Michigan Tech Publications |
publishDate | 2017 |
publisher | Digital Commons @ Michigan Tech |
record_format | openpolar |
spelling | ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-22488 2025-01-16T20:31:50+00:00 Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates Pirk, Norbert Sievers, Jakob Mertes, Jordan Parmentier, Frans Jan W. Mastepanov, Mikhail Christensen, Torben R. 2017-06-29T07:00:00Z application/pdf https://digitalcommons.mtu.edu/michigantech-p/3186 https://doi.org/10.5194/bg-14-3157-2017 https://digitalcommons.mtu.edu/context/michigantech-p/article/22488/viewcontent/bg_14_3157_2017.pdf unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/3186 doi:10.5194/bg-14-3157-2017 https://digitalcommons.mtu.edu/context/michigantech-p/article/22488/viewcontent/bg_14_3157_2017.pdf http://creativecommons.org/licenses/by/3.0/ Michigan Tech Publications Department of Geological and Mining Engineering and Sciences Geological Engineering Mining Engineering text 2017 ftmichigantuniv https://doi.org/10.5194/bg-14-3157-2017 2023-06-20T17:02:14Z The large spatial variability in Arctic tundra complicates the representative assessment of CO2 budgets. Accurate measurements of these heterogeneous landscapes are, however, essential to understanding their vulnerability to climate change. We surveyed a polygonal tundra lowland on Svalbard with an unmanned aerial vehicle (UAV) that mapped ice-wedge morphology to complement eddy covariance (EC) flux measurements of CO2. The analysis of spectral distributions showed that conventional EC methods do not accurately capture the turbulent CO2 exchange with a spatially heterogeneous surface that typically features small flux magnitudes. Nonlocal (low-frequency) flux contributions were especially pronounced during snowmelt and introduced a large bias of -46 gCm-2 to the annual CO22 budget in conventional methods (the minus sign indicates a higher uptake by the ecosystem). Our improved flux calculations with the ogive optimization method indicated that the site was a strong sink for CO2 in 2015 (82 gCm2). Due to differences in light-use efficiency, wetter areas with lowcentered polygons sequestered 47% more CO2 than drier areas with flat-centered polygons. While Svalbard has experienced a strong increase in mean annual air temperature of more than 2K in the last few decades, historical aerial photographs from the site indicated stable ice-wedge morphology over the last 7 decades. Apparently, warming has thus far not been sufficient to initiate strong ice-wedge degradation, possibly due to the absence of extreme heat episodes in the maritime climate on Svalbard. However, in Arctic regions where ice-wedge degradation has already initiated the associated drying of landscapes, our results suggest a weakening of the CO2 sink in polygonal tundra. Text Arctic Climate change Svalbard Tundra Michigan Technological University: Digital Commons @ Michigan Tech Arctic Svalbard |
spellingShingle | Department of Geological and Mining Engineering and Sciences Geological Engineering Mining Engineering Pirk, Norbert Sievers, Jakob Mertes, Jordan Parmentier, Frans Jan W. Mastepanov, Mikhail Christensen, Torben R. Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title | Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title_full | Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title_fullStr | Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title_full_unstemmed | Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title_short | Spatial variability of CO < inf> 2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates |
title_sort | spatial variability of co < inf> 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates |
topic | Department of Geological and Mining Engineering and Sciences Geological Engineering Mining Engineering |
topic_facet | Department of Geological and Mining Engineering and Sciences Geological Engineering Mining Engineering |
url | https://digitalcommons.mtu.edu/michigantech-p/3186 https://doi.org/10.5194/bg-14-3157-2017 https://digitalcommons.mtu.edu/context/michigantech-p/article/22488/viewcontent/bg_14_3157_2017.pdf |