Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019

Climate change is affecting the Arctic at an unprecedented rate, potentially releasing substantial amounts of greenhouse gases (CO 2 (carbon dioxide) and CH 4 (Methane)) from tundra ecosystems. Measuring greenhouse gas emissions in the Arctic, particularly outside of the summer period, is very chall...

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Bibliographic Details
Main Author: Donatella Zona
Format: Dataset
Language:unknown
Published: Arctic Data Center 2019
Subjects:
Online Access:https://doi.org/10.18739/A2X34MS1B
id dataone:doi:10.18739/A2X34MS1B
record_format openpolar
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic carbon fluxes, methane fluxes
spellingShingle carbon fluxes, methane fluxes
Donatella Zona
Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
topic_facet carbon fluxes, methane fluxes
description Climate change is affecting the Arctic at an unprecedented rate, potentially releasing substantial amounts of greenhouse gases (CO 2 (carbon dioxide) and CH 4 (Methane)) from tundra ecosystems. Measuring greenhouse gas emissions in the Arctic, particularly outside of the summer period, is very challenging due to extreme weather conditions. This research project provided the first annual balance of both CH 4 and CO 2 fluxes in a total of five sites spanning a 300Km transect across the North Slope of Alaska (three sites in Barrow, one site in Aquasuk, and one site in Ivotuk). The results from the continuous year-round CH 4 fluxes across these sites showed how cumulative emissions for the cold season accounted on average for 50% of the annual budget (Zona et al., 2016), a notably higher contribution than previously modelled, and also higher than observed in boreal Alaska. The analysis of the cold period CH 4 fluxes suggested that the presence of an unfrozen soil layer in the fall and early winter was a major control on cold season CH 4 emissions (Zona et al., 2016). We also cross-compared all instruments measuring ecosystem scale CO 2 and CH 4 fluxes operating at our sites, which allowed us to make recommendation of the best performing instruments under these extreme weather conditions. The best performing instruments were closed path analyzers and intermittently heated sonic anemometers which had the highest final data cover. A continuously heated anemometer increased data coverage relative to non-heated anemometers, but resulted in an overestimation of the fluxes (Goodrich et al., 2016). We developed an intermittent heating strategy that was only activated when the data quality was low, and appeared to be the preferable method to prevent icing while avoiding biases to the measurements. Closed and open-path analyzers showed good agreement, but data coverage was much greater when using closed-path analyzers, especially during winter (Goodrich et al., 2016). Given the importance of vegetation on greenhouse gas emissions, we also investigated the role of different vegetation types under a broad range of environmental conditions on the CH 4 emissions. We found that vegetation type can be a very useful tool to describe the spatial variability in CH 4 emissions over the landscape (McEwing et al., 2015), and that just two vegetation types were able to explain about 50% of the variability in CH 4 fluxes across ecosystems even hundreds of kilometers apart (Davidson et al., 2016a). To upscale these plot scale fluxes we completed high resolution vegetation maps in each of our tower sites (Davidson et al., 2016b), which are the finest resolution maps currently available from these sites, and also contributed to larger scale mapping effort (Walker et al., 2016). The soil microbial analysis from soil cores collected across our sites showed an association between overall microbial diversity and latitude, with a higher diversity found in the northerly site and lower diversity in the southerly site, contrary to current knowledge (Wagner et al., accepted). We also measured CH 4 and CO 2 concentrations in the soil, which showed to be orders of magnitude higher than in the atmosphere (Arndt et al., 2016). Our results contributed to model development (Xu et al., 2016; Kobayashi et al., 2016; Liljedahl et al., 2016; Luus et al., 2017), and to a wide variety of other projects as shown by the hundreds of download of our data from Ameriflux. Overall, this grant resulted in the publication of 25 peer reviewed journal articles, including in high impact factor journals such as PNAS (Proceedings of the National Academy of Sciences of the United States of America), and Nature Climate Change, in addition to five more in review and in preparation, and supported the research of seven PhD students, two master students, and ten undergraduate students.
format Dataset
author Donatella Zona
author_facet Donatella Zona
author_sort Donatella Zona
title Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
title_short Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
title_full Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
title_fullStr Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
title_full_unstemmed Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019
title_sort greenhouse gas flux measurements at the zero curtain, north slope, alaska, 2012-2019
publisher Arctic Data Center
publishDate 2019
url https://doi.org/10.18739/A2X34MS1B
op_coverage Barrow, Atqasuk, Ivotuk. North Slope of Alaska
ENVELOPE(-156.7886,-156.7886,71.2906,71.2906)
BEGINDATE: 2013-07-10T00:00:00Z ENDDATE: 2019-12-31T00:00:00Z
long_lat ENVELOPE(-44.766,-44.766,-60.766,-60.766)
ENVELOPE(-156.7886,-156.7886,71.2906,71.2906)
geographic Arctic
Davidson
geographic_facet Arctic
Davidson
genre Arctic
Barrow
Climate change
north slope
Tundra
Alaska
genre_facet Arctic
Barrow
Climate change
north slope
Tundra
Alaska
op_doi https://doi.org/10.18739/A2X34MS1B
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spelling dataone:doi:10.18739/A2X34MS1B 2024-06-03T18:46:41+00:00 Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2019 Donatella Zona Barrow, Atqasuk, Ivotuk. North Slope of Alaska ENVELOPE(-156.7886,-156.7886,71.2906,71.2906) BEGINDATE: 2013-07-10T00:00:00Z ENDDATE: 2019-12-31T00:00:00Z 2019-01-01T00:00:00Z https://doi.org/10.18739/A2X34MS1B unknown Arctic Data Center carbon fluxes, methane fluxes Dataset 2019 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2X34MS1B 2024-06-03T18:16:20Z Climate change is affecting the Arctic at an unprecedented rate, potentially releasing substantial amounts of greenhouse gases (CO 2 (carbon dioxide) and CH 4 (Methane)) from tundra ecosystems. Measuring greenhouse gas emissions in the Arctic, particularly outside of the summer period, is very challenging due to extreme weather conditions. This research project provided the first annual balance of both CH 4 and CO 2 fluxes in a total of five sites spanning a 300Km transect across the North Slope of Alaska (three sites in Barrow, one site in Aquasuk, and one site in Ivotuk). The results from the continuous year-round CH 4 fluxes across these sites showed how cumulative emissions for the cold season accounted on average for 50% of the annual budget (Zona et al., 2016), a notably higher contribution than previously modelled, and also higher than observed in boreal Alaska. The analysis of the cold period CH 4 fluxes suggested that the presence of an unfrozen soil layer in the fall and early winter was a major control on cold season CH 4 emissions (Zona et al., 2016). We also cross-compared all instruments measuring ecosystem scale CO 2 and CH 4 fluxes operating at our sites, which allowed us to make recommendation of the best performing instruments under these extreme weather conditions. The best performing instruments were closed path analyzers and intermittently heated sonic anemometers which had the highest final data cover. A continuously heated anemometer increased data coverage relative to non-heated anemometers, but resulted in an overestimation of the fluxes (Goodrich et al., 2016). We developed an intermittent heating strategy that was only activated when the data quality was low, and appeared to be the preferable method to prevent icing while avoiding biases to the measurements. Closed and open-path analyzers showed good agreement, but data coverage was much greater when using closed-path analyzers, especially during winter (Goodrich et al., 2016). Given the importance of vegetation on greenhouse gas emissions, we also investigated the role of different vegetation types under a broad range of environmental conditions on the CH 4 emissions. We found that vegetation type can be a very useful tool to describe the spatial variability in CH 4 emissions over the landscape (McEwing et al., 2015), and that just two vegetation types were able to explain about 50% of the variability in CH 4 fluxes across ecosystems even hundreds of kilometers apart (Davidson et al., 2016a). To upscale these plot scale fluxes we completed high resolution vegetation maps in each of our tower sites (Davidson et al., 2016b), which are the finest resolution maps currently available from these sites, and also contributed to larger scale mapping effort (Walker et al., 2016). The soil microbial analysis from soil cores collected across our sites showed an association between overall microbial diversity and latitude, with a higher diversity found in the northerly site and lower diversity in the southerly site, contrary to current knowledge (Wagner et al., accepted). We also measured CH 4 and CO 2 concentrations in the soil, which showed to be orders of magnitude higher than in the atmosphere (Arndt et al., 2016). Our results contributed to model development (Xu et al., 2016; Kobayashi et al., 2016; Liljedahl et al., 2016; Luus et al., 2017), and to a wide variety of other projects as shown by the hundreds of download of our data from Ameriflux. Overall, this grant resulted in the publication of 25 peer reviewed journal articles, including in high impact factor journals such as PNAS (Proceedings of the National Academy of Sciences of the United States of America), and Nature Climate Change, in addition to five more in review and in preparation, and supported the research of seven PhD students, two master students, and ten undergraduate students. Dataset Arctic Barrow Climate change north slope Tundra Alaska Arctic Data Center (via DataONE) Arctic Davidson ENVELOPE(-44.766,-44.766,-60.766,-60.766) ENVELOPE(-156.7886,-156.7886,71.2906,71.2906)