Тип публикации: статья из журнала

Год издания: 2025

Идентификатор DOI: 10.1029/2025gb008540

Аннотация: <jats:title>Abstract</jats:title> <jats:p> This study synthesizes the budgets of three greenhouse gases (GHG, namely CO <jats:sub>2</jats:sub>, CH <jats:sub>4</jats:sub>, N <jats:sub>2</jats:sub> O) for Russia over two decades (2000–2009 and 2010–2019) using bottom-up and top-down approaches, as part of the Regional Carbon Cycle AsПоказать полностьюsessment and Processes, Phase 2 (RECCAP2). Published estimates of natural sources and sinks of these GHGs in Russia vary widely. Here, bottom-up estimates are based on eddy covariance measurements, the Integrated Land Information System of Russia (ILIS-LEA), field data, Dynamic Global Vegetation Models (DGVMs), and regional models. The bottom-up approach estimated Net Ecosystem Exchange (NEE) at −0.64 ± 0.17 and −0.57 ± 0.14 Pg C yr <jats:sup>−1</jats:sup>, for decades 2000–2009 and 2010–2019, respectively. Top-down atmospheric inversions provide similar NEE carbon flux estimates with comparable uncertainties at −0.56 ± 0.26 and −0.73 ± 0.27 Pg C yr <jats:sup>−1</jats:sup> for the two decades. Differences between these approaches arise from distinct flux components and structural assumptions. ILIS-LEA indicates a slightly declining carbon sink in 2010–2019, driven by increased disturbances. In contrast, DGVMs suggest a stable carbon sink over both decades but they do not fully simulate the effects of disturbances and recovery. Top-down inversions reveal an increasing CO <jats:sub>2</jats:sub> sink, suggesting with additional observed constraints on biomass carbon increment that soil and non-forest biomes absorb more carbon than predicted by DGVMs and ILIS-LEA models. A Bayesian averaging approach estimates natural ecosystems acting as a GHG sink with a land-to-atmosphere flux of −1.55 ± 0.91 and −1.47 ± 0.82 Pg CO <jats:sub>2</jats:sub> -eq. yr <jats:sup>−1</jats:sup>. Accounting for both natural and anthropogenic emissions across the Russian territory shifts the net GHG balance to a source around 1.2 Pg CO <jats:sub>2</jats:sub> -eq. yr <jats:sup>−1</jats:sup>. </jats:p>

Журнал: Global Biogeochemical Cycles

Выпуск журнала: Т. 39, № 10

Номера страниц: 2025

ISSN журнала: 08866236

Издатель: American Geophysical Union

• Shvidenko Anatoly (International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria)
• Ciais Philippe (Centre d’Etudes Orme des Merisiers Laboratoire des Sciences du Climat et de l’Environnement IPSL-LSCE CEA CNRS UVSQ Gif sur Yvette France)
• Patra Prabir K. (Research Institute for Global Change JAMSTEC Yokohama Japan)
• Bastos Ana (Institute for Earth System Science and Remote Sensing Leipzig University Leipzig Germany)
• Maksyutov Shamil (National Institute of Environmental Studies Tsukuba Japan)
• Lauerwald Ronny (University Paris-Saclay INRAE AgroParisTech UMR ECOSYS Palaiseau France)
• Poulter Benjamin (NASA Goddard Space Flight Center Greenbelt MD USA)
• Belikov Dmitry (Center for Environmental Remote Sensing Chiba University Chiba Japan)
• Chandra Naveen (Research Institute for Global Change JAMSTEC Yokohama Japan)
• Glagolev Mikhail (Institute of Forest Science Russian Academy of Sciences Moscow Russia)
• Terentieva Irina (Department of Geography University of Calgary Calgary AB Canada)
• Karelin Dmitry (Institute of Geography RAS Moscow Russia)
• Kurbatova Juliya (A.N. Severtsov Institute of Ecology and Evolution of Russian Academy of Sciences Moscow Russia)
• Kurganova Irina (Institute of Physicochemical and Biological Problems in Soil Science RAS Pushchino Russia)
• Romanovskaya Anna (Yu. A. Izrael Institute of Global Climate and Ecology Moscow Russia)
• Korotkov Vladimir (Yu. A. Izrael Institute of Global Climate and Ecology Moscow Russia)
• Mukhortova Liudmila (V.N. Sukachev Institute of Forest Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)
• Prokushkin Anatoly (V.N. Sukachev Institute of Forest Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)
• Gustafson Eric (Institute for Applied Ecosystem Studies Northern Research Station US Forest Service Rhinelander WI USA)
• Kraxner Florian (International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria)
• Mamkin Vadim (National Research University Higher School of Economics Moscow Russia)
• Lukina Natalia (Center for Forest Ecology and Productivity of the Russian Academy of Sciences Moscow Russia)
• Krasovskiy Andrey (International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria)
• Vaganov Eugene (Siberian Federal University Krasnoyarsk Russia)
• Schepaschenko Dmitry (International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria)

• Ядро РИНЦ (eLIBRARY.RU)