RuFlux: The Network of the Eddy Covariance Sites in Russia

O. A. Kuricheva; Куричева О. А.; A. P. Maksimov; Максимов А. П.; T. Ch. Maximov; Максимов Т. Х.; V. V. Mamkin; Мамкин В. В.; A. S. Marunich; Марунич А. С.; M. N. Miglovets; Мигловец М. Н.; O. A. Mikhailov; Михайлов О. А.; A. V. Panov; Панов А. В.; A. S. Prokushkin; Прокушкин А. С.; N. V. Sidenko; Сиденко Н. В.; A. V. Shilkin; Шилкин А. В.; E. D. Lapshina; Лапшина Е. Д.; I. N. Kurganova; Курганова И. Н.; V. K. Avilov; Авилов В. К.; A. V. Varlagin; Варлагин А. В.; M. L. Gitarskiy; Гитарский М. Л.; A. A. Dmitrichenko; Дмитриченко А. А.; E. A. Dyukarev; Дюкарев Е. А.; S. V. Zagirova; Загирова С. В.; D. G. Zamolodchikov; Замолодчиков Д. Г.; V. I. Zyryanov; Зырянов В. И.; D. V. Karelin; Карелин Д. В.; S. V. Karsanaev; Карсанаев С. В.; Yu. A. Kurbatova; Курбатова Ю. А.

doi:10.31857/S2587556623040052

RuFlux: The Network of the Eddy Covariance Sites in Russia

Authors: Kuricheva O.A.¹, Maksimov A.P.², Maximov T.C.², Mamkin V.V.¹^,3, Marunich A.S.⁴, Miglovets M.N.⁵, Mikhailov O.A.⁵, Panov A.V.⁶, Prokushkin A.S.⁶, Sidenko N.V.⁶, Shilkin A.V.⁷^,8, Lapshina E.D.⁹, Kurganova I.N.¹⁰, Avilov V.K.¹, Varlagin A.V.¹, Gitarskiy M.L.¹¹, Dmitrichenko A.A.⁹, Dyukarev E.A.⁹^,12, Zagirova S.V.⁵, Zamolodchikov D.G.⁷^,3, Zyryanov V.I.⁶, Karelin D.V.¹³, Karsanaev S.V.², Kurbatova Y.A.¹
Affiliations:
1. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences
2. Institute for Biological Problems of Cryolithozone of the Siberian Branch of the Russian Academy of Sciences – a separate subdivision FSBIS Federal Research Centre “Yakut Scientific Centre of the Siberian Branch of the Russian Academy of Sciences”
3. National Research University Higher School of Economics,
4. Valday Branch of State Hydrological Institute
5. Institute of Biology of the Komi Science Centre of the Ural Branch of the Russian Academy of Sciences
6. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences – a separate subdivision of the Federal Research Centre of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences (FRC KSC SB RAS)
7. Center for Forest Ecology and Productivity of the Russian Academy of Sciences
8. Scientific and Production Association “Typhoon”
9. Yugra University
10. Institute of Phisicochemical and Biological Problems in Soil Science, RAS
11. Russian Energy Agency under the Ministry of Energy of the Russian Federation
12. Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences
13. Institute of Geography of the Russian Academy of Sciences
Issue: Vol 87, No 4 (2023)
Pages: 512-535
Section: ЛЕСНЫЕ ЭКОСИСТЕМЫ
URL: https://journals.eco-vector.com/2587-5566/article/view/660760
DOI: https://doi.org/10.31857/S2587556623040052
EDN: https://elibrary.ru/CTGOHO
ID: 660760

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Abstract

For the first time, the information is summarized on the history of establishment, the state of observations and the main scientific results on sites included in RuFlux, the Russian eddy covariance network for the monitoring of greenhouse gases (GHG). Eddy covariance technique provides estimates of GHG fluxes at the level of ecosystems. The long-term series of GHG fluxes (more than 190 site-years of observations) have been obtained. Up to the end of 2022, 86% of the sites of the RuFlux network are located in forests and wetlands, 77% of all sites are in the middle and southern taiga. Almost all undisturbed ecosystems in Russia are the sinks of CO₂ from the atmosphere with a range of average annual estimates of net absorption from 80 to 240 g C m^–2 yr^–1. The GHG balance is determined by a complex of abiotic and biotic factors. The average long-term net CO₂ absorption is higher in permafrost Siberian larch forests than in European spruce forests. When moving from west to east, the intensity of CO₂ sink in the middle of summer increases, and the emission of CO₂ in the middle of winter decreases sharply. Natural and anthropogenic disturbances lead to the transformation of the carbon balance by increasing the release of CO₂ into the atmosphere. RuFlux network covers a wide range of types of ecosystems, but it is needed to organize more GHG sites in tundra, northern taiga, forest-steppe, steppe, and semi-deserts; in the ecosystems disturbed by humans (including fields) and in the ecosystems with successions caused by natural disturbances.

Keywords

eddy covariance method, ecosystems, net ecosystem exchange, measurement network, ecoclimatic sites, monitoring

About the authors

O. A. Kuricheva

Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences

Author for correspondence.
Email: olga.alek.de@gmail.com
Russia, Moscow

A. P. Maksimov

Institute for Biological Problems of Cryolithozone of the Siberian Branch of the Russian Academy of Sciences –
a separate subdivision FSBIS Federal Research Centre “Yakut Scientific Centre of the Siberian Branch of the Russian Academy of Sciences”

Email: kurbatova.j@gmail.com
Russia, Yakutsk

T. Ch. Maximov

Author for correspondence.
Email: tcmax@mail.ru
Russia, Yakutsk

V. V. Mamkin

Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences; National Research University Higher School of Economics,

Author for correspondence.
Email: vadimmamkin@gmail.com
Russia, Moscow; Russia, Moscow

A. S. Marunich

Valday Branch of State Hydrological Institute

Email: kurbatova.j@gmail.com
Russia, Valday

M. N. Miglovets

Institute of Biology of the Komi Science Centre of the Ural Branch of the Russian Academy of Sciences

Email: kurbatova.j@gmail.com
Russia, Syktyvkar

O. A. Mikhailov

Institute of Biology of the Komi Science Centre of the Ural Branch of the Russian Academy of Sciences

Email: kurbatova.j@gmail.com
Russia, Syktyvkar

A. V. Panov

Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences – a separate subdivision of the Federal Research Centre of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences
(FRC KSC SB RAS)

Email: kurbatova.j@gmail.com
Russia, Krasnoyarsk

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