Abstract

Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported almost no change in growing stock (+ 1.8%) and biomass (+ 0.6%). Yet remote sensing products indicate increased vegetation productivity, tree cover and above-ground biomass. Here, we challenge these statistics with a combination of recent National Forest Inventory and remote sensing data to provide an alternative estimate of the growing stock of Russian forests and to assess the relative changes in post-Soviet Russia. Our estimate for the year 2014 is 111 ± 1.3 × 109 m3, or 39% higher than the value in the State Forest Register. Using the last Soviet Union report as a reference, Russian forests have accumulated 1163 × 106 m3 yr-1 of growing stock between 1988–2014, which balances the net forest stock losses in tropical countries. Our estimate of the growing stock of managed forests is 94.2 × 109 m3, which corresponds to sequestration of 354 Tg C yr-1 in live biomass over 1988–2014, or 47% higher than reported in the National Greenhouse Gases Inventory.

Details

Title
Russian forest sequesters substantially more carbon than previously reported
Author
Schepaschenko Dmitry 1 ; Moltchanova Elena 2 ; Fedorov Stanislav 3 ; Karminov Victor 4 ; Ontikov Petr 5 ; Santoro Maurizio 6 ; See, Linda 7 ; Kositsyn Vladimir 8 ; Shvidenko Anatoly 9 ; Romanovskaya, Anna 10 ; Korotkov, Vladimir 10 ; Lesiv Myroslava 7 ; Bartalev Sergey 11 ; Fritz, Steffen 7 ; Shchepashchenko, Maria 12 ; Kraxner Florian 7 

 Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia (GRID:grid.465437.7); International Institute for Applied Systems Analysis, Laxenburg, Austria (GRID:grid.75276.31) (ISNI:0000 0001 1955 9478); Siberian Federal University, Krasnoyarsk, Russia (GRID:grid.412592.9) (ISNI:0000 0001 0940 9855) 
 University of Canterbury, School of Mathematics and Statistics, Christchurch, New Zealand (GRID:grid.21006.35) (ISNI:0000 0001 2179 4063) 
 FSBI Roslesinforg, Federal Forestry Agency, Moscow, Russia (GRID:grid.21006.35) 
 Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia (GRID:grid.465437.7); Russian Institute of Continuous Education in Forestry, Pushkino, Russia (GRID:grid.465437.7) 
 FSBI Roslesinforg, Federal Forestry Agency, Moscow, Russia (GRID:grid.465437.7) 
 Gamma Remote Sensing, Gümligen, Switzerland (GRID:grid.424908.3) (ISNI:0000 0004 0613 3138) 
 International Institute for Applied Systems Analysis, Laxenburg, Austria (GRID:grid.75276.31) (ISNI:0000 0001 1955 9478) 
 Federal Forestry Agency, Moscow, Russia (GRID:grid.494087.6) 
 International Institute for Applied Systems Analysis, Laxenburg, Austria (GRID:grid.75276.31) (ISNI:0000 0001 1955 9478); Siberian Branch of the Russian Academy of Science, V.N. Sukachev Institute of Forest, Krasnoyarsk, Russia (GRID:grid.415877.8) (ISNI:0000 0001 2254 1834) 
10  Yu. A. Izrael Institute of Global Climate and Ecology, Moscow, Russia (GRID:grid.435253.6) (ISNI:0000 0004 0499 2879) 
11  Space Research Institute of the Russian Academy of Sciences, Moscow, Russia (GRID:grid.426428.e) (ISNI:0000 0004 0405 8736) 
12  Russian Institute of Continuous Education in Forestry, Pushkino, Russia (GRID:grid.75276.31) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2542136894
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.