Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra
Abstract High-Arctic ecosystems are strongly affected by climate change, and it is still unclear whether they will become a carbon source or sink in the next few decades. In turn, such knowledge gaps on the drivers and the processes controlling CO2 fluxes and storage make future projections of the A...
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ftdoajarticles:oai:doaj.org/article:c50cb22fc34543e4ba4058c68de7ebab 2023-05-15T14:48:11+02:00 Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra Marta Magnani Ilaria Baneschi Mariasilvia Giamberini Brunella Raco Antonello Provenzale 2022-01-01T00:00:00Z https://doi.org/10.1038/s41598-021-04728-0 https://doaj.org/article/c50cb22fc34543e4ba4058c68de7ebab EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-04728-0 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-04728-0 2045-2322 https://doaj.org/article/c50cb22fc34543e4ba4058c68de7ebab Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022) Medicine R Science Q article 2022 ftdoajarticles https://doi.org/10.1038/s41598-021-04728-0 2022-12-31T08:08:31Z Abstract High-Arctic ecosystems are strongly affected by climate change, and it is still unclear whether they will become a carbon source or sink in the next few decades. In turn, such knowledge gaps on the drivers and the processes controlling CO2 fluxes and storage make future projections of the Arctic carbon budget a challenging goal. During summer 2019, we extensively measured CO2 fluxes at the soil–vegetation–atmosphere interface, together with basic meteoclimatic variables and ecological characteristics in the Bayelva river basin near Ny Ålesund, Spitzbergen, Svalbard (NO). By means of multi-regression models, we identified the main small-scale drivers of CO2 emission (Ecosystem Respiration, ER), and uptake (Gross Primary Production, GPP) in this tundra biome, showing that (i) at point scale, the temporal variability of fluxes is controlled by the classical drivers, i.e. air temperature and solar irradiance respectively for ER and GPP, (ii) at site scale, the heterogeneity of fractional vegetation cover, soil moisture and vegetation type acted as additional source of variability for both CO2 emissions and uptake. The assessment of the relative importance of such drivers in the multi-regression model contributes to a better understanding of the terrestrial carbon dioxide exchanges and of Critical Zone processes in the Arctic tundra. Article in Journal/Newspaper Arctic Climate change Ny Ålesund Ny-Ålesund Spitzbergen Svalbard Tundra Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Ny-Ålesund Bayelva ENVELOPE(11.898,11.898,78.933,78.933) Scientific Reports 12 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Marta Magnani Ilaria Baneschi Mariasilvia Giamberini Brunella Raco Antonello Provenzale Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
topic_facet |
Medicine R Science Q |
description |
Abstract High-Arctic ecosystems are strongly affected by climate change, and it is still unclear whether they will become a carbon source or sink in the next few decades. In turn, such knowledge gaps on the drivers and the processes controlling CO2 fluxes and storage make future projections of the Arctic carbon budget a challenging goal. During summer 2019, we extensively measured CO2 fluxes at the soil–vegetation–atmosphere interface, together with basic meteoclimatic variables and ecological characteristics in the Bayelva river basin near Ny Ålesund, Spitzbergen, Svalbard (NO). By means of multi-regression models, we identified the main small-scale drivers of CO2 emission (Ecosystem Respiration, ER), and uptake (Gross Primary Production, GPP) in this tundra biome, showing that (i) at point scale, the temporal variability of fluxes is controlled by the classical drivers, i.e. air temperature and solar irradiance respectively for ER and GPP, (ii) at site scale, the heterogeneity of fractional vegetation cover, soil moisture and vegetation type acted as additional source of variability for both CO2 emissions and uptake. The assessment of the relative importance of such drivers in the multi-regression model contributes to a better understanding of the terrestrial carbon dioxide exchanges and of Critical Zone processes in the Arctic tundra. |
format |
Article in Journal/Newspaper |
author |
Marta Magnani Ilaria Baneschi Mariasilvia Giamberini Brunella Raco Antonello Provenzale |
author_facet |
Marta Magnani Ilaria Baneschi Mariasilvia Giamberini Brunella Raco Antonello Provenzale |
author_sort |
Marta Magnani |
title |
Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
title_short |
Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
title_full |
Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
title_fullStr |
Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
title_full_unstemmed |
Microscale drivers of summer CO2 fluxes in the Svalbard High Arctic tundra |
title_sort |
microscale drivers of summer co2 fluxes in the svalbard high arctic tundra |
publisher |
Nature Portfolio |
publishDate |
2022 |
url |
https://doi.org/10.1038/s41598-021-04728-0 https://doaj.org/article/c50cb22fc34543e4ba4058c68de7ebab |
long_lat |
ENVELOPE(11.898,11.898,78.933,78.933) |
geographic |
Arctic Svalbard Ny-Ålesund Bayelva |
geographic_facet |
Arctic Svalbard Ny-Ålesund Bayelva |
genre |
Arctic Climate change Ny Ålesund Ny-Ålesund Spitzbergen Svalbard Tundra |
genre_facet |
Arctic Climate change Ny Ålesund Ny-Ålesund Spitzbergen Svalbard Tundra |
op_source |
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022) |
op_relation |
https://doi.org/10.1038/s41598-021-04728-0 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-04728-0 2045-2322 https://doaj.org/article/c50cb22fc34543e4ba4058c68de7ebab |
op_doi |
https://doi.org/10.1038/s41598-021-04728-0 |
container_title |
Scientific Reports |
container_volume |
12 |
container_issue |
1 |
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1766319278672314368 |