Spatial variability of CO 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 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...

Full description

Bibliographic Details
Published in:Biogeosciences
Main Authors: Pirk, N., Sievers, J., Mertes, J., Parmentier, F.-J. W., Mastepanov, M., Christensen, T. R.
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://doi.org/10.5194/bg-14-3157-2017
id ftzenodo:oai:zenodo.org:820817
record_format openpolar
spelling ftzenodo:oai:zenodo.org:820817 2024-09-15T18:02:26+00:00 Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates Pirk, N. Sievers, J. Mertes, J. Parmentier, F.-J. W. Mastepanov, M. Christensen, T. R. 2017-06-29 https://doi.org/10.5194/bg-14-3157-2017 unknown Zenodo https://zenodo.org/communities/eu https://doi.org/10.5194/bg-14-3157-2017 oai:zenodo.org:820817 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Biogeosciences, 14(12), 3157-3169, (2017-06-29) info:eu-repo/semantics/article 2017 ftzenodo https://doi.org/10.5194/bg-14-3157-2017 2024-07-26T01:22:24Z 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 gC m −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 gC m −2 ). Due to differences in light-use efficiency, wetter areas with low-centered 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 2 K 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 Climate change Svalbard Tundra Zenodo Biogeosciences 14 12 3157 3169
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description 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 gC m −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 gC m −2 ). Due to differences in light-use efficiency, wetter areas with low-centered 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 2 K 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
author Pirk, N.
Sievers, J.
Mertes, J.
Parmentier, F.-J. W.
Mastepanov, M.
Christensen, T. R.
spellingShingle Pirk, N.
Sievers, J.
Mertes, J.
Parmentier, F.-J. W.
Mastepanov, M.
Christensen, T. R.
Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
author_facet Pirk, N.
Sievers, J.
Mertes, J.
Parmentier, F.-J. W.
Mastepanov, M.
Christensen, T. R.
author_sort Pirk, N.
title Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
title_short Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
title_full Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
title_fullStr Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
title_full_unstemmed Spatial variability of CO 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
title_sort spatial variability of co 2 uptake in polygonal tundra: assessing low-frequency disturbances in eddy covariance flux estimates
publisher Zenodo
publishDate 2017
url https://doi.org/10.5194/bg-14-3157-2017
genre Climate change
Svalbard
Tundra
genre_facet Climate change
Svalbard
Tundra
op_source Biogeosciences, 14(12), 3157-3169, (2017-06-29)
op_relation https://zenodo.org/communities/eu
https://doi.org/10.5194/bg-14-3157-2017
oai:zenodo.org:820817
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5194/bg-14-3157-2017
container_title Biogeosciences
container_volume 14
container_issue 12
container_start_page 3157
op_container_end_page 3169
_version_ 1810439895313809408