Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates

Source at https://doi.org/10.5194/bg-14-3157-2017 The large spatial variability in Arctic tundra complicates the representative assessment of CO 2 budgets. Accurate measurements of these heterogeneous landscapes are, however, essential to understanding their vulnerability to climate change. We surve...

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Published in:Biogeosciences
Main Authors: Pirk, Norbert, Sievers, Jakob, Mertes, Jordan, Parmentier, Frans-Jan, Mastepanov, Mikhail, Christensen, Torben R
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
Online Access:https://hdl.handle.net/10037/11773
https://doi.org/10.5194/bg-14-3157-2017
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author Pirk, Norbert
Sievers, Jakob
Mertes, Jordan
Parmentier, Frans-Jan
Mastepanov, Mikhail
Christensen, Torben R
author_facet Pirk, Norbert
Sievers, Jakob
Mertes, Jordan
Parmentier, Frans-Jan
Mastepanov, Mikhail
Christensen, Torben R
author_sort Pirk, Norbert
collection University of Tromsø: Munin Open Research Archive
container_issue 12
container_start_page 3157
container_title Biogeosciences
container_volume 14
description Source at https://doi.org/10.5194/bg-14-3157-2017 The large spatial variability in Arctic tundra complicates the representative assessment of CO 2 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 CO 2 . The analysis of spectral distributions showed that conventional EC methods do not accurately capture the turbulent CO 2 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 CO 2 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 CO 2 in 2015 (-82 gCm -2 ). Due to differences in light-use efficiency, wetter areas with lowcentered polygons sequestered 47% more CO 2 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 CO 2 sink in polygonal tundra.
format Article in Journal/Newspaper
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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spelling ftunivtroemsoe:oai:munin.uit.no:10037/11773 2025-04-13T14:14:22+00:00 Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates Pirk, Norbert Sievers, Jakob Mertes, Jordan Parmentier, Frans-Jan Mastepanov, Mikhail Christensen, Torben R 2017-06-29 https://hdl.handle.net/10037/11773 https://doi.org/10.5194/bg-14-3157-2017 eng eng Copernicus Publications Biogeosciences FRIDAID 1498444 https://hdl.handle.net/10037/11773 openAccess VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Mineralogi petrologi geokjemi: 462 VDP::Mathematics and natural science: 400::Geosciences: 450::Mineralogy petrology geochemistry: 462 Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe https://doi.org/10.5194/bg-14-3157-2017 2025-03-14T05:17:55Z Source at https://doi.org/10.5194/bg-14-3157-2017 The large spatial variability in Arctic tundra complicates the representative assessment of CO 2 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 CO 2 . The analysis of spectral distributions showed that conventional EC methods do not accurately capture the turbulent CO 2 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 CO 2 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 CO 2 in 2015 (-82 gCm -2 ). Due to differences in light-use efficiency, wetter areas with lowcentered polygons sequestered 47% more CO 2 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 CO 2 sink in polygonal tundra. Article in Journal/Newspaper Arctic Climate change Svalbard Tundra University of Tromsø: Munin Open Research Archive Arctic Svalbard Biogeosciences 14 12 3157 3169
spellingShingle VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Mineralogi
petrologi
geokjemi: 462
VDP::Mathematics and natural science: 400::Geosciences: 450::Mineralogy
petrology
geochemistry: 462
Pirk, Norbert
Sievers, Jakob
Mertes, Jordan
Parmentier, Frans-Jan
Mastepanov, Mikhail
Christensen, Torben R
Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title_full Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title_fullStr Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title_full_unstemmed Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title_short Spatial variability of CO2 uptake in polygonal tundra: Assessing low-frequency disturbances in eddy covariance flux estimates
title_sort spatial variability of co2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
topic VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Mineralogi
petrologi
geokjemi: 462
VDP::Mathematics and natural science: 400::Geosciences: 450::Mineralogy
petrology
geochemistry: 462
topic_facet VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Mineralogi
petrologi
geokjemi: 462
VDP::Mathematics and natural science: 400::Geosciences: 450::Mineralogy
petrology
geochemistry: 462
url https://hdl.handle.net/10037/11773
https://doi.org/10.5194/bg-14-3157-2017