Tundra landscape heterogeneity, not interannual variability, controls the decadal regional carbon balance in the Western Russian Arctic

© 2018 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 24(2018), 11 vom: 18. Nov., Seite 5188-5204
1. Verfasser: Treat, Claire C (VerfasserIn)
Weitere Verfasser: Marushchak, Maija E, Voigt, Carolina, Zhang, Yu, Tan, Zeli, Zhuang, Qianlai, Virtanen, Tarmo A, Räsänen, Aleksi, Biasi, Christina, Hugelius, Gustaf, Kaverin, Dmitry, Miller, Paul A, Stendel, Martin, Romanovsky, Vladimir, Rivkin, Felix, Martikainen, Pertti J, Shurpali, Narasinha J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Russia Tundra ecosystem modeling methane net ecosystem CO2 exchange peatland permafrost mehr... regional carbon balance Soil Carbon Dioxide 142M471B3J Carbon 7440-44-0 Methane OP0UW79H66
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100 1 |a Treat, Claire C  |e verfasserin  |4 aut 
245 1 0 |a Tundra landscape heterogeneity, not interannual variability, controls the decadal regional carbon balance in the Western Russian Arctic 
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500 |a Date Revised 15.02.2019 
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500 |a Citation Status MEDLINE 
520 |a © 2018 John Wiley & Sons Ltd. 
520 |a Across the Arctic, the net ecosystem carbon (C) balance of tundra ecosystems is highly uncertain due to substantial temporal variability of C fluxes and to landscape heterogeneity. We modeled both carbon dioxide (CO2 ) and methane (CH4 ) fluxes for the dominant land cover types in a ~100-km2 sub-Arctic tundra region in northeast European Russia for the period of 2006-2015 using process-based biogeochemical models. Modeled net annual CO2 fluxes ranged from -300 g C m-2  year-1 [net uptake] in a willow fen to 3 g C m-2  year-1 [net source] in dry lichen tundra. Modeled annual CH4 emissions ranged from -0.2 to 22.3 g C m-2  year-1 at a peat plateau site and a willow fen site, respectively. Interannual variability over the decade was relatively small (20%-25%) in comparison with variability among the land cover types (150%). Using high-resolution land cover classification, the region was a net sink of atmospheric CO2 across most land cover types but a net source of CH4 to the atmosphere due to high emissions from permafrost-free fens. Using a lower resolution for land cover classification resulted in a 20%-65% underestimation of regional CH4 flux relative to high-resolution classification and smaller (10%) overestimation of regional CO2 uptake due to the underestimation of wetland area by 60%. The relative fraction of uplands versus wetlands was key to determining the net regional C balance at this and other Arctic tundra sites because wetlands were hot spots for C cycling in Arctic tundra ecosystems 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Russia 
650 4 |a Tundra 
650 4 |a ecosystem modeling 
650 4 |a methane 
650 4 |a net ecosystem CO2 exchange 
650 4 |a peatland 
650 4 |a permafrost 
650 4 |a regional carbon balance 
650 7 |a Soil  |2 NLM 
650 7 |a Carbon Dioxide  |2 NLM 
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650 7 |a Carbon  |2 NLM 
650 7 |a 7440-44-0  |2 NLM 
650 7 |a Methane  |2 NLM 
650 7 |a OP0UW79H66  |2 NLM 
700 1 |a Marushchak, Maija E  |e verfasserin  |4 aut 
700 1 |a Voigt, Carolina  |e verfasserin  |4 aut 
700 1 |a Zhang, Yu  |e verfasserin  |4 aut 
700 1 |a Tan, Zeli  |e verfasserin  |4 aut 
700 1 |a Zhuang, Qianlai  |e verfasserin  |4 aut 
700 1 |a Virtanen, Tarmo A  |e verfasserin  |4 aut 
700 1 |a Räsänen, Aleksi  |e verfasserin  |4 aut 
700 1 |a Biasi, Christina  |e verfasserin  |4 aut 
700 1 |a Hugelius, Gustaf  |e verfasserin  |4 aut 
700 1 |a Kaverin, Dmitry  |e verfasserin  |4 aut 
700 1 |a Miller, Paul A  |e verfasserin  |4 aut 
700 1 |a Stendel, Martin  |e verfasserin  |4 aut 
700 1 |a Romanovsky, Vladimir  |e verfasserin  |4 aut 
700 1 |a Rivkin, Felix  |e verfasserin  |4 aut 
700 1 |a Martikainen, Pertti J  |e verfasserin  |4 aut 
700 1 |a Shurpali, Narasinha J  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 24(2018), 11 vom: 18. Nov., Seite 5188-5204  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnns 
773 1 8 |g volume:24  |g year:2018  |g number:11  |g day:18  |g month:11  |g pages:5188-5204 
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