Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia
Arctic tundra is facing unprecedented warming, resulting in shifts in the vegetation, thaw regimes, and potentially in the ecosystem–atmosphere exchange of carbon (C). However, the estimates of regional carbon dioxide (CO2) and methane (CH4) budgets are highly uncertain. We measured CO2 and CH4 flux...
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ftluke:oai:jukuri.luke.fi:10024/552060 2023-10-09T21:48:59+02:00 Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia Juutinen, Sari Aurela, Mika Tuovinen, Juha-Pekka Ivakhov, Viktor Linkosalmi, Maiju Räsänen, Aleksi Virtanen, Tarmo Mikola, Juha Nyman, Johanna Vähä, Emmi Loskutova, Marina Makshtas, Alexander Laurila, Tuomas orcid:0000-0002-3629-1837 orcid:0000-0002-4336-2648 4100310710 4100310610 Luonnonvarakeskus 3151-3167 true https://jukuri.luke.fi/handle/10024/552060 en eng Copernicus GmbH Biogeosciences 10.5194/bg-19-3151-2022 1726-4189 13 19 https://jukuri.luke.fi/handle/10024/552060 URN:NBN:fi-fe2022071551711 CC BY 4.0 tundra carbon dioxide methane climate changes Siberia land cover types publication fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| fi=Publisher's version|sv=Publisher's version|en=Publisher's version| ftluke 2023-09-12T20:28:21Z Arctic tundra is facing unprecedented warming, resulting in shifts in the vegetation, thaw regimes, and potentially in the ecosystem–atmosphere exchange of carbon (C). However, the estimates of regional carbon dioxide (CO2) and methane (CH4) budgets are highly uncertain. We measured CO2 and CH4 fluxes, vegetation composition and leaf area index (LAI), thaw depth, and soil wetness in Tiksi (71∘ N, 128∘ E), a heterogeneous site located within the prostrate dwarf-shrub tundra zone in northeastern Siberia. Using the closed chamber method, we determined the net ecosystem exchange (NEE) of CO2, ecosystem respiration in the dark (ER), ecosystem gross photosynthesis (Pg), and CH4 flux during the growing season. We applied a previously developed high-spatial-resolution land cover map over an area of 35.8 km2 for spatial extrapolation. Among the land cover types varying from barren to dwarf-shrub tundra and tundra wetlands, the NEE and Pg at the photosynthetically active photon flux density of 800 µmol m−2 h−1 (NEE800 and Pg800) were greatest in the graminoid-dominated habitats, i.e., streamside meadow and fens, with NEE800 and Pg800 of up to −21 (uptake) and 28 mmol m−2 h−1, respectively. Vascular LAI was a robust predictor of both NEE800 and Pg800 and, on a landscape scale, the fens were disproportionately important for the summertime CO2 sequestration. Dry tundra, including the dwarf-shrub and lichen tundra, had smaller CO2 exchange rates. The fens were the largest source of CH4, while the dry mineral soil tundra consumed atmospheric CH4, which on a landscape scale amounted to −9 % of the total CH4 balance during the growing season. The largest seasonal mean CH4 consumption rate of 0.02 mmol m−2 h−1 occurred in sand- and stone-covered barren areas. The high consumption rate agrees with the estimate based on the eddy covariance measurements at the same site. We acknowledge the uncertainty involved in spatial extrapolations due to a small number of replicates per land cover type. This study highlights the need to ... Article in Journal/Newspaper Arctic Tiksi Tundra Siberia Natural Resources Institute Finland: Jukuri Arctic Tiksi ENVELOPE(128.867,128.867,71.633,71.633) |
institution |
Open Polar |
collection |
Natural Resources Institute Finland: Jukuri |
op_collection_id |
ftluke |
language |
English |
topic |
tundra carbon dioxide methane climate changes Siberia land cover types |
spellingShingle |
tundra carbon dioxide methane climate changes Siberia land cover types Juutinen, Sari Aurela, Mika Tuovinen, Juha-Pekka Ivakhov, Viktor Linkosalmi, Maiju Räsänen, Aleksi Virtanen, Tarmo Mikola, Juha Nyman, Johanna Vähä, Emmi Loskutova, Marina Makshtas, Alexander Laurila, Tuomas Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
topic_facet |
tundra carbon dioxide methane climate changes Siberia land cover types |
description |
Arctic tundra is facing unprecedented warming, resulting in shifts in the vegetation, thaw regimes, and potentially in the ecosystem–atmosphere exchange of carbon (C). However, the estimates of regional carbon dioxide (CO2) and methane (CH4) budgets are highly uncertain. We measured CO2 and CH4 fluxes, vegetation composition and leaf area index (LAI), thaw depth, and soil wetness in Tiksi (71∘ N, 128∘ E), a heterogeneous site located within the prostrate dwarf-shrub tundra zone in northeastern Siberia. Using the closed chamber method, we determined the net ecosystem exchange (NEE) of CO2, ecosystem respiration in the dark (ER), ecosystem gross photosynthesis (Pg), and CH4 flux during the growing season. We applied a previously developed high-spatial-resolution land cover map over an area of 35.8 km2 for spatial extrapolation. Among the land cover types varying from barren to dwarf-shrub tundra and tundra wetlands, the NEE and Pg at the photosynthetically active photon flux density of 800 µmol m−2 h−1 (NEE800 and Pg800) were greatest in the graminoid-dominated habitats, i.e., streamside meadow and fens, with NEE800 and Pg800 of up to −21 (uptake) and 28 mmol m−2 h−1, respectively. Vascular LAI was a robust predictor of both NEE800 and Pg800 and, on a landscape scale, the fens were disproportionately important for the summertime CO2 sequestration. Dry tundra, including the dwarf-shrub and lichen tundra, had smaller CO2 exchange rates. The fens were the largest source of CH4, while the dry mineral soil tundra consumed atmospheric CH4, which on a landscape scale amounted to −9 % of the total CH4 balance during the growing season. The largest seasonal mean CH4 consumption rate of 0.02 mmol m−2 h−1 occurred in sand- and stone-covered barren areas. The high consumption rate agrees with the estimate based on the eddy covariance measurements at the same site. We acknowledge the uncertainty involved in spatial extrapolations due to a small number of replicates per land cover type. This study highlights the need to ... |
author2 |
orcid:0000-0002-3629-1837 orcid:0000-0002-4336-2648 4100310710 4100310610 Luonnonvarakeskus |
format |
Article in Journal/Newspaper |
author |
Juutinen, Sari Aurela, Mika Tuovinen, Juha-Pekka Ivakhov, Viktor Linkosalmi, Maiju Räsänen, Aleksi Virtanen, Tarmo Mikola, Juha Nyman, Johanna Vähä, Emmi Loskutova, Marina Makshtas, Alexander Laurila, Tuomas |
author_facet |
Juutinen, Sari Aurela, Mika Tuovinen, Juha-Pekka Ivakhov, Viktor Linkosalmi, Maiju Räsänen, Aleksi Virtanen, Tarmo Mikola, Juha Nyman, Johanna Vähä, Emmi Loskutova, Marina Makshtas, Alexander Laurila, Tuomas |
author_sort |
Juutinen, Sari |
title |
Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
title_short |
Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
title_full |
Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
title_fullStr |
Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
title_full_unstemmed |
Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia |
title_sort |
variation in co2 and ch4 fluxes among land cover types in heterogeneous arctic tundra in northeastern siberia |
publisher |
Copernicus GmbH |
url |
https://jukuri.luke.fi/handle/10024/552060 |
long_lat |
ENVELOPE(128.867,128.867,71.633,71.633) |
geographic |
Arctic Tiksi |
geographic_facet |
Arctic Tiksi |
genre |
Arctic Tiksi Tundra Siberia |
genre_facet |
Arctic Tiksi Tundra Siberia |
op_relation |
Biogeosciences 10.5194/bg-19-3151-2022 1726-4189 13 19 https://jukuri.luke.fi/handle/10024/552060 URN:NBN:fi-fe2022071551711 |
op_rights |
CC BY 4.0 |
_version_ |
1779312038503251968 |