Variability of temperature regime in the ridge-hollow bog complex of the Mukhrino station

Cover Page

Cite item

Full Text

Abstract

Introduction. Siberian bog ecosystems are among the world's largest carbon stores and play a critical role in global climate regulation through the long-term accumulation of organic matter in peat strata. The rate of carbon exchange in these ecosystems is largely controlled by climatic and hydrological conditions. However, the quantitative impact of specific hydrometeorological factors, including temperature, on the rate of carbon fluxes remains poorly understood. The temperature regime of organic bog soils is characterized by high inertia and smaller diurnal and seasonal variations compared to mineral soils, due to the high heat capacity of water and the low thermal conductivity of peat. This stability creates unique conditions for biota, but simultaneously increases the ecosystem's sensitivity to changes in the hydrological regime. In the context of modern climate change, studying the thermal characteristics of bogs is particularly relevant for assessing their functional state, stability, and predicting carbon balance dynamics. The aim of this study is a comprehensive analysis of long-term air temperature patterns in a wetland ecosystem using the Mukhrino research station in central Western Siberia as an example.

The study focused on typical raised bogs of the middle taiga subzone located within the Mukhrino research station (60°54' N, 68°42' E). The station is a unique model site with a distinct microtopography of a ridge-hollow complex. The study is based on a 12-year continuous microclimatic dataset (2012–2024) obtained using an automatic weather station. Measurements were conducted simultaneously on two key microtopographic elements: the ridge (a more drained, elevated structure) and the hollow (a depression with excessive moisture). To ensure reliability, the data underwent quality control procedures, including the identification and interpolation of minor gaps, as well as comparative calibration in 2024. Long-term (60-year) data from the Roshydromet weather station in Khanty-Mansiysk, as well as ERA5 Land global climate reanalysis data, were used to provide regional context and verify the data.

The analysis revealed pronounced spatiotemporal variability in temperature regimes, closely linked to microtopography and seasonal dynamics.

In winter (December–February), under clear anticyclonic conditions and weak insolation, more intense radiative cooling is observed in the hollow. Nighttime air temperatures in the hollow can be 2–4°C lower than on the ridge, where the regime is milder and more stable. In summer (June–August), the situation changes: the better-drained and less humid surface of the ridge warms more intensely. The average daily temperature on the ridge in July can exceed that of the natural wetland by 1–1.5°C. The daily temperature range on the ridge in summer is significantly higher (9–12°C) than in the wetland (3–5°C). In spring and fall, these differences even out.

A comparison of data from the Mukhrino station and the Khanty-Mansiysk weather station clearly revealed the urban "heat island" effect. In winter, temperatures in the city are consistently 2–3°C higher than in the natural wetland. Daily temperature ranges in the urban environment are also smoothed out (up to 6°C) compared to those in the wetland (10–12°C). In summer, the differences are minimal, and on clear days, the ridge can even be 0.5–1°C warmer than the city. Global reanalysis data demonstrate general synchronicity of climate trends with field measurements (the correlation coefficient between temperature series on the ridge and ERA5 was r = 0.78). However, systematic discrepancies were identified. ERA5 Land significantly smooths extreme values and daily amplitudes, which is due to its spatial resolution (~9 km²), which averages the heterogeneous landscape, and algorithmic filtering. In particular, nighttime temperature minimums on the ridge in winter (up to -35…-38 °C) are underestimated by 3–5 °C in the reanalysis, while daytime maximums in summer (up to +24…+26 °C) are underestimated by 4–6 °C. This indicates the inability of global models to adequately reflect the intense microclimatic processes within wetland landscapes. This study confirms that the temperature regime of Western Siberian raised bogs is characterized by a complex spatiotemporal organization determined by microtopography (ridge/hollow), underlying surface moisture, and regional climate trends. The significant discrepancies identified between local field measurements, urban weather station data, and global reanalyses highlight the critical importance of long-term local monitoring for a fundamental understanding of wetland ecosystem functioning. Only data with high spatial and temporal detail allows for the accurate assessment of extreme parameters necessary for verifying climate models, accurately calculating carbon balances, and developing scientifically based strategies for the conservation and adaptive management of these vulnerable and ecologically significant natural sites in the face of anthropogenic climate change.

About the authors

N. N. Voropay

Институт мониторинга климатических и экологических систем СО РАН; Институт географии им. В.Б. Сочавы, СО РАН

Author for correspondence.
Email: voropay_nn@mail.ru
Russian Federation, Томск; Иркутск

A. A. Ponomarev

Югорский государственный университет

Email: voropay_nn@mail.ru
Russian Federation, Ханты-Мансийск

References

  1. Bond-Lamberty B., Bailey V.L., Chen M., Gough C.M., Vargas R. 2018. Globally rising soil heterotrophic respiration over recent decades. Nature, 560(7716): 80-83. doi: 10.1038/s41586-018-0358-x
  2. Dyukarev E. 2023. Comparison of artificial neural network and regression models for filling temporal gaps of meteorological variables time series. Applied Sciences Journal, 13: 2646. doi: 10.3390/app13042646
  3. Dyukarev E., Filippova N., Karpov D., Shnyrev N., Zarov E., Filippov I., Voropay N., Avilov V., Artamonov A.Yu., Lapshina E.D. 2021. Hydrometeorological Dataset of West Siberian Boreal Peatland: a 10-Year Record from the Mukhrino Field Station. Earth Syst. Sci. Data. 13(6): 2595-2605. doi: 10.5194/essd-13-2595-2021
  4. Dyukarev E., Zarov E., Alekseychik P., Nijp J., Filippova N., Mammarella I., Filippov I., Bleuten W., Khoroshavin V., Ganasevich G., Meshcheryakova A., Vesala T., Lapshina E. 2021. The multiscale monitoring of peatland ecosystem carbon cycling in the middle taiga zone of Western Siberia: the Mukhrino bog case study. Land, 10(8): 824. doi: 10.3390/land10080824.
  5. Harenda K.M., Lamentowicz M., Samson M., Chojnicki B.H. 2018. The role of peatlands and their carbon storage function in the context of climate change. In: Interdisciplinary approaches for sustainable development goals: Economic growth, social inclusion and environmental protection. 169-187.
  6. Ilyasov D.V., Meshcheryakova A.V., Glagolev M.V., Kupriianova I.V., Kaverin A.A., Sabrekov A.F., Kulyabin M.F., Lapshina E.D. 2023. Field-Layer Vegetation and Water Table Level as a Proxy of CO2 Exchange in the West Siberian Boreal Bog. Land, 12: 566. doi: 10.3390/land12030566
  7. Kiselev M.V., Dyukarev E.A., Voropay N.N. 2019. Seasonally frozen layer of swamps of the southern taiga zone of Western Siberia. Earth's Cryosphere, XXIII(4): 3-15 (in Russian). [Киселёв М.В. 2019. Сезонномерзлый слой болот южно-таежной зоны Западной Сибири // Криосфера Земли, , Том XXIII, № 4, с. 3-15]
  8. Kupriianova I.V., Kaverin A.A., Filippov I.V., Ilyasov D.V., Lapshina E.D., Logunova E.V., Kulyabin M.F. 2022. The main physical and geographical characteristics of the Mukhrino field station area and its surroundings. Environmental Dynamics and Global Climate Change. 13(4):215-252 doi: 10.18822/edgcc240049
  9. Liss O.L. 1988. Swamp systems of Western Siberia and their water regime. Novosibirsk: Nauka, 236 p. (in Russian). [Лисс О.Л. 1988. Болотные системы Западной Сибири и их водный режим. Новосибирск: Наука, 236 с.]
  10. Nikonov A.A. 1982. Microclimate of plant communities. Moscow: Nauka, 196 p. (in Russian). [Никонов А.А. 1982. Микроклимат растительных сообществ. М.: Наука, 196 с.]
  11. Novikov V.V. 1973. Hydrological conditions of swamps and wetlands. Moscow: Gidrometeoizdat (in Russian). [Новиков В.В. 1973. Гидрологические условия болот и заболоченных территорий. М.: Гидрометеоиздат]
  12. Rydin H., Jeglum J. K. 2013. The Biology of Peatlands. Oxford University Press, 400 p.
  13. U.S. Global Change Research Program. National Climate Assessment Appendix 5. [Электронный ресурс]. URL: https://nca2018.globalchange.gov/chapter/appendix-5/.
  14. V.V. Alekseeva (ed.) 1989. Geography of vegetation: Textbook for universities. Moscow: Geographical Society of the USSR, 232 p. (in Russian). [В.В. Алексеева (ред.) 1989. География растительности: Учебник для вузов. М.: Географическое общество СССР, 232 c.
  15. Vorob'ev A.N., Zakharov V.P. 2009. A Brief Course in General Climatology. Akademkniga, Moscow, 192 p. (in Russian) [Воробьев А.Н., Захаров В.П. 2009. Краткий курс общей климатологии. М.: Академкнига, 192 с.]
  16. Xu J., Morris P.J., Liu J., Holden J. 2018. PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis. Catena, 160: 134-140. doi: 10.1016/j.catena.2017.09.010
  17. YSU. Mukhrino – scientific field station. (in Russian). [ЮГУ. Мухрино – научно-полевая станция.] URL: https://mukhrinostation.com.
  18. Yu Z., Loisel J., Brosseau D.P., Beilman D.W., Hunt S.J. 2010. Global peatland dynamics since the Last Glacial Maximum. Geophys. Res. Lett., 37(13): L13402. doi: 10.1029/2010GL043584
  19. Zemtsov A.A., Mezentsev A.V., Inisheva L.I. 1998. Swamps of Western Siberia: their role in the biosphere. Tomsk: TSU, SibNIIT. 72 p. [Земцов А.А., Мезенцев А.В., Инишева Л.И. 1998. Болота Западной Сибири: их роль в биосфере. Томск: ТГУ, СибНИИТ. 72 с.]

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2025 Voropay N.N., Ponomarev A.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).