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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Main Authors: Pirk, Norbert, Sievers, Jakob, Mertes, Jordan, Parmentier, Frans Jan W., Mastepanov, Mikhail, Christensen, Torben R.
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 2017
Subjects:
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
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op_doi https://doi.org/10.5194/bg-14-3157-2017
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doi: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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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