Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx

Over the past two decades, the escalating emissions of greenhouse gases from boreal wildfires in the Northern Hemisphere have drawn significant attention, underscoring an unprecedented wildfire season in 2021. Our calculations indicate that between 2002 and 2020, wildfires in Russia released approxi...

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Bibliographic Details
Main Authors: Andrei G. Lapenis, Leonid N. Yurganov
Format: Dataset
Language:unknown
Published: 2023
Subjects:
Online Access:https://doi.org/10.3389/ffgc.2023.1188057.s002
https://figshare.com/articles/dataset/Data_Sheet_2_Increase_in_Arctic_Oscillations_explains_most_interannual_variability_in_Russia_s_wildfires_docx/24189444
id ftfrontimediafig:oai:figshare.com:article/24189444
record_format openpolar
spelling ftfrontimediafig:oai:figshare.com:article/24189444 2024-09-15T18:35:30+00:00 Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx Andrei G. Lapenis Leonid N. Yurganov 2023-09-25T04:07:40Z https://doi.org/10.3389/ffgc.2023.1188057.s002 https://figshare.com/articles/dataset/Data_Sheet_2_Increase_in_Arctic_Oscillations_explains_most_interannual_variability_in_Russia_s_wildfires_docx/24189444 unknown doi:10.3389/ffgc.2023.1188057.s002 https://figshare.com/articles/dataset/Data_Sheet_2_Increase_in_Arctic_Oscillations_explains_most_interannual_variability_in_Russia_s_wildfires_docx/24189444 CC BY 4.0 Agroforestry Forestry Biomass and Bioproducts Forestry Fire Management Forestry Management and Environment Forestry Pests Health and Diseases wildfires carbon emissions fossil fuel carbon sequestration carbon dioxide equivalent Dataset 2023 ftfrontimediafig https://doi.org/10.3389/ffgc.2023.1188057.s002 2024-08-19T06:20:02Z Over the past two decades, the escalating emissions of greenhouse gases from boreal wildfires in the Northern Hemisphere have drawn significant attention, underscoring an unprecedented wildfire season in 2021. Our calculations indicate that between 2002 and 2020, wildfires in Russia released approximately 726 ± 280 Tg CO 2eqv yr −1 . This aligns closely with similar estimates derived from remote sensing data, far surpassing the earlier approximations found in the Russian National Inventory Report (NIR) by a factor of 2 to 3. Notably, in 2021 alone, Russia’s wildfires emitted an exceptionally high amount of 1,700 Tg CO 2eqv , exceeding the carbon emissions from the country’s fossil fuel consumption. Consequently, this situation led to an almost complete counterbalance of carbon assimilation by Russian forests. Our analysis attributes over 50% of the variation in wildfire frequency between 2002 and 2021 to shifts in the Arctic Oscillation (AO). This suggests a potential for utilizing AO as a predictive variable for wildfires. It’s noteworthy that the AO itself is influenced by the sustained regression of Arctic sea-ice. From this, it can be inferred that in the foreseeable future, Russian forests might undergo a transition from their role as carbon sinks to the potential net contributors of carbon to the atmosphere. Dataset Sea ice Frontiers: Figshare
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
wildfires
carbon emissions
fossil fuel
carbon sequestration
carbon dioxide equivalent
spellingShingle Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
wildfires
carbon emissions
fossil fuel
carbon sequestration
carbon dioxide equivalent
Andrei G. Lapenis
Leonid N. Yurganov
Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
topic_facet Agroforestry
Forestry Biomass and Bioproducts
Forestry Fire Management
Forestry Management and Environment
Forestry Pests
Health and Diseases
wildfires
carbon emissions
fossil fuel
carbon sequestration
carbon dioxide equivalent
description Over the past two decades, the escalating emissions of greenhouse gases from boreal wildfires in the Northern Hemisphere have drawn significant attention, underscoring an unprecedented wildfire season in 2021. Our calculations indicate that between 2002 and 2020, wildfires in Russia released approximately 726 ± 280 Tg CO 2eqv yr −1 . This aligns closely with similar estimates derived from remote sensing data, far surpassing the earlier approximations found in the Russian National Inventory Report (NIR) by a factor of 2 to 3. Notably, in 2021 alone, Russia’s wildfires emitted an exceptionally high amount of 1,700 Tg CO 2eqv , exceeding the carbon emissions from the country’s fossil fuel consumption. Consequently, this situation led to an almost complete counterbalance of carbon assimilation by Russian forests. Our analysis attributes over 50% of the variation in wildfire frequency between 2002 and 2021 to shifts in the Arctic Oscillation (AO). This suggests a potential for utilizing AO as a predictive variable for wildfires. It’s noteworthy that the AO itself is influenced by the sustained regression of Arctic sea-ice. From this, it can be inferred that in the foreseeable future, Russian forests might undergo a transition from their role as carbon sinks to the potential net contributors of carbon to the atmosphere.
format Dataset
author Andrei G. Lapenis
Leonid N. Yurganov
author_facet Andrei G. Lapenis
Leonid N. Yurganov
author_sort Andrei G. Lapenis
title Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
title_short Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
title_full Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
title_fullStr Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
title_full_unstemmed Data_Sheet_2_Increase in Arctic Oscillations explains most interannual variability in Russia’s wildfires.docx
title_sort data_sheet_2_increase in arctic oscillations explains most interannual variability in russia’s wildfires.docx
publishDate 2023
url https://doi.org/10.3389/ffgc.2023.1188057.s002
https://figshare.com/articles/dataset/Data_Sheet_2_Increase_in_Arctic_Oscillations_explains_most_interannual_variability_in_Russia_s_wildfires_docx/24189444
genre Sea ice
genre_facet Sea ice
op_relation doi:10.3389/ffgc.2023.1188057.s002
https://figshare.com/articles/dataset/Data_Sheet_2_Increase_in_Arctic_Oscillations_explains_most_interannual_variability_in_Russia_s_wildfires_docx/24189444
op_rights CC BY 4.0
op_doi https://doi.org/10.3389/ffgc.2023.1188057.s002
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