Prolongation of Hydrological Rows of Water Levels and Discharge Using Dendrochronological Reconstructions on Example of Black Poplar and White Willow in Western Siberia
Authors
- Marina A. Gurskaya nstitute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences
- Leonid I. Agafonov nstitute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences
- Maxim O. Yermolenko Ural Federal University
DOI:
https://doi.org/10.34753/HS.2025.7.3.274+ Keywords
+ Abstract
Extending hydroclimatic time series is a critical task in hydrology and climatology. Tree rings from riparian forests offer a valuable proxy for reconstructing hydrological parameters. While tree-ring-based streamflow reconstructions are established in northern and arid ecosystems, such studies are absent for temperate climates. A consensus is also lacking on whether water level or water discharge is more suitable for reconstruction. This study analyses relationships between mean monthly water levels and discharge of the Tura River (Turinsk gauge) and ring widths of Populus nigra L. (poplar) and Salix alba L. (willow), to reconstruct these variables and identify extreme hydrological years. Ring-width measurements were obtained from tree cores. Cross-dated individual series were used to build standardized residual chronologies for poplar (1876–2022) and willow (1879–2022). Correlation analysis has shown a stronger relationship between the poplar chronology and May water levels, and willow chronologies and April-May water levels, than with corresponding discharge data. Linear regression was used to reconstruct both hydrological variables. Despite higher correlation coefficients with water levels, the reconstruction models for level and discharge were similar. However, the water level model better captured extreme hydrological years. These strong associations during extreme years are attributed to the wide floodplain of the Tura River. Periods of high and low streamflow were successfully identified. The results confirm that poplar and willow from the river floodplain are reliable proxies for hydrological changes in the southern taiga of Western Siberia.
+ Author Biographies
D.Sc (Biology), Leading Researcher, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russia, SPIN-code: 7010-1752, https://orcid.org/0000-0001-5815-7228, ResearcherID ABF-1384-2020, Author ID Scopus: 6507383427, Head of Laboratory, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russia, SPIN-code: 1809-2486, https://orcid.org/0000-0003-4595-4978, ResearcherID O-7755-2014, Author ID Scopus: 6603717263, master student, Ural Federal University, Yekaterinburg, Russia,
Marina A. Gurskaya
e-mail: mgurskaya@yandex.ru.
Leonid I. Agafonov
e-mail: agafonov@ipae.uran.ru.
Maxim O. Yermolenko
e-mail: yermaxim@yahoo.com.
+ References
1. Bulygina O.N., Razuvaev V.N. Daily Temperature and Precipitation Data for 518 Russian meteorological stations (1881–2010). Oak Ridge, TN: Oak Ridge National Laboratory. 2012. №. osti: 1394916. DOI: 10.3334/CDIAC/CLI. 100.
2. Tveito O.E. The effect of homogenization when constructing long‐term gridded monthly precipitation and temperature data. International Journal of Climatology, 2023, vol. 43, no. 16, pp.7618–7632.
3. WMO guidelines on homogenization. Geneva, Switzerland: World Meteorological Organization. Technical report WMO-No. 1245. 2020. 54 p.
4. Agafonov L.I., Gurskaya M.A. The Influence of the Lower Ob River Runoff on Radial Growth of Trees. Contemporary Problems of Ecology, 2013., vol. 6, no. 7, pp. 779–787. DOI:10.1134/S1995425513070159.
5. Agafonov L.I., Meko D.M., Panyushkina I.P. Reconstruction of Ob River, Russia, discharge from ring widths of floodplain trees. J. of Hydrology, 2016, vol. 543, pp. 198–207. DOI:10.1016/j.jhydrol.2016.09.031.
6. Karanitsch-Ackerl S., Mayer K., Gauster T., Laaha, G., Holawe F., Wimmer R., Grabner M. A. 400-year reconstruction of spring–summer precipitation and summer low flow from regional tree-ring chronologies in North-Eastern Austria. J. of Hydrology. 2019, vol. 577. pp. 123986. DOI:10.1016/j.jhydrol.2019.123986.
7. Woodhouse C.A., Gray S.T., Meko D.M. Updated streamflow reconstructions for the Upper Colorado River Basin. Water Resource Research 42, 2006, vol.42, no. 5. W05415. DOI:10.1029/2005WR004455.
8. Güner H.T., Kose N., Harly G.T. A 200-year reconstruction of Kocasu River (Sakarya River Basin, Turkey) streamflow derived from a tree-ring network. Int. J. Biometeorol., 2017, vol. 61, pp. 427–437. DOI:10.1007/s00484-016-1223-y.
9. Bakhtiyorov Z., Chen F., Chen Y. Wang, S., Zhang, H., Hu, M. Yue W., Habibulloev S., Kavtaradze G., Gurskaya M., Agafonov L., Rahmonov O., Roibu C.-C. Akkemik U., Köse N., Norman C. Historical drivers and future streamflow variations of the Kura River in the Western Transcaucasia region of Georgia: Analysis of tree-ring chronologies from 1720 to 2021 CE. Palaeogeography, Palaeoclimatology, Palaeoecology, 2024, vol. 655, p. 112529. DOI:10.1016/j.palaeo.2024.112529.
10. Gao Z., Zhang H., Chen F. Satylkanov R., Ermenbaev B., Bakhtiyorov Z., Zhang R., Yu S., YUE W., Zhao X. Tree-ring based streamflow reconstruction of the Chu River in Kyrgyzstan over the past 407 years. Quaternary Sciences, 2022. vol. 42. no. 1, pp. 288–301. DOI: 10.11928/j.issn.1001-7410.2022.01.23.
11. MacDonald G.M., Kremenetski K.V., Smith L.C., Hidalgo H.G. Recent Eurasian river discharge to the Arctic Ocean in the context of longer-term dendrohydrological records. J. Geophysical Research: Biogeosciences. 2007. vol.112. G04S50. DOI:10.1029/2006JG000333.
12. Meko D.M., Panyushkina I.P., Agafonov L.I., Edwards J.A. Impact of high flows of an Arctic river on ring widths of floodplain trees. The Holocene, 2020, vol. 30, no. 6, pp. 789–798. DOI:10.1177/0959683620902217.
13. Gou X., Chen F., Cook E., Jacoby G., Yang M., Li J. Streamflow variations of the Yellow River over the past 593 years in western China reconstructed from tree rings. Water Resources Research, 2007, vol. 43, W06434. DOI:10.1029/2006WR005705.
14. Гидрологический ежегодник 1936–1954, ГУГМС. Л.: Гидрометеоиздат, 1937–1955, Т.6. Вып. 0–9.
15. Гидрологический ежегодник 1955–2023. Омск: ГУГМС, Обь-Ирт. УГМС, 1956–2018, Т. 1. Вып. 10–11.
16. Fick S.E., Hijmans R.J. “WorldClim 2: New 1‐km Spatial Resolution Climate Surfaces for Global Land Areas.” International Journal of Climatology, 2017, vol. 37, no. 12, pp. 4302–15. DOI:10.1002/joc.5086.
17. Harris I., Osborn T.J., Jones P. Lister D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data, 2020, vol.7, no. 109. DOI:10.1038/s41597-020-0453-3.
18. Osborn T.J., Jones P.D., Lister D.H., Morice C.P., Simpson I.R., Winn J.P., Hogan E., Harris I.C. Land surface air temperature variations across the globe updated to 2019: The CRUTEM5 data set. Journal of Geophysical Research: Atmospheres, 2021, vol. 126., no. 2. С. e2019JD032352.
19. Martens, B., Miralles, D.G., Lievens, H., Schalie R., Jeu R.A.M. Fernández-Prieto D., Beck H.E., Dorigo W.A., Verhoest N.E.C. GLEAM v3: satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development, 2017, vol. 10, pp. 1903–1925. DOI:10.5194/gmd-10-1903-2017.
20. Potapov P., Hansen M.C., Pickens A., Hernandez-Serna A, Tyukavina A., Turubanova S., Zalles V., Li X., Khan A., Stolle F., Harris N., Song X., Baggett A., Kommareddy I., Kommareddy A. The global 2000-2020 land cover and land use change dataset derived from the Landsat archive: first results. Frontiers in Remote Sensing, 2022. DOI:10.3389/frsen.2022.856903.
21. Giachetta E., Willett S. D. A global dataset of river network geometry. Scientific data, 2018, vol. 5, iss. 1, p. 180127.
22. Rinn F. TSAP Time Series Analysis and Presentation. Version 3.0. Reference Manual / F. Rinn. Heidelberg. 1996. 262 p.
23. Holmes R.L. Computer-assisted quality control in tree ring dating and measurement. Tree-Ring Bul., 1983, vol. 43, pp. 69–78.
24. Bitvinskas T., Briffa K., Cook E., Downing D.J., Dubinskaite J., Eckstein D., Fritts H.С., Gordon G.A., Guiot J., Jones J. I. PH., Jagels R., Jones PH., Kairiukstis L., Kincaid W.B., Kocharov G., Kolishchuk V.G., Mazepa V.S., Mclaughlin S.B., Molenaar J., Nash III T.H., Norton D., Ogden J., PILCHER J., Robinson W.J., Schweingruber F., Serre-Bachet F., Shiyatov S.G., Telewski F., Tessier L., Vaganov E.A., Visser H., Worbes M. Methods of dendrochronology: applications in the environmental sciences. (Cook E., Kairiukstis L. Eds.) Springer Dordrecht: Kluwer Academic Publishers. 1990. 394 p. DOI:10.1007/978-94-015-7879-0.
25. Cook E. R., Krusic P. J., Holmes R. H., Peters K. Program Arstan. Version, 2005, vol.1, p. 72.
26. Biondi F., Waikul K. DENDROCLIM2002: A C++ program for statistical calibration of climate signals in tree-ring chronologies. Computers & geosciences, 2004, vol. 30, no 3, pp. 303–311.
27. Holmes R.L. Dendrochronology Program Library, Instruction and Program Manual //Tucson: Laboratory of Tree-Ring Research, University of Ari. 1992. 51 p.
28. GenRes Bridge Project Consortium, ECPGR, ERFP and EUFORGEN // Genetic Resources Strategy for Europe. 2021. URL: http://www. genresbridge. eu/GRS4E.
29. Knighton D. Fluvial forms and processes: a new perspective. Routledge. 2014. 400 p. DOI:10.4324/9780203784662.
30. Потапова О.Н. Наставление гидрометеорологическим станциям и постам // Л.: Гидрометеоиздат. 1978. №. 6. 384 с.
31. Dudek D.M., McClenahen J.R., Mitsch W.J. Tree growth responses of Populus deltoides and Juglans nigra to streamflow and climate in a bottomland hardwood forest in central Ohio. The American midland naturalistб 1998б vol. 140б no. 2б pp. 233–244. DOI:10.1674/0003-0031(1998)140[0233:TGROPD]2.0.CO;2.
32. Malik I., Dłużewski M., Rotnicka J., Wistuba M., Krzemień K., Muszyński A., Rojan E., Ślęzak A. Simultaneous growth releases and reductions among Populus alba as an indicator for floods in dry mountains (Morocco). Ecological I.ndicators, 2021, vol. 129, p. 107874. DOI:10.1016/j.ecolind.2021.107874
33. Liu P.X., Peng J.F., Chen F.H. Hydrological response of Populus euphratica Olve. radial growth in Ejinaa banner, inner Mongolia. Journal of Integrative Plant Biology, 2007, vol. 49, no. 2, pp. 150–156. DOI:10.1111/j.1744-7909.2007.00425.x.
34. Zhang R., Qin L., Yuan Y., Gou X., Zou C., Yang Q., Shang H., Fan Z. Radial growth response of Populus xjrtyschensis to environmental factors and a century-long reconstruction of summer streamflow for the Tuoshigan River, northwestern China. Ecological Indicators, 2016, vol. 71, pp. 191–197. DOI:10.1016/j.ecolind.2016.06.035.
35. Lambs L., Loubiat M., Girel J., Tissier J., Peltier J. P., Marigo G. Survival and acclimatation of Populus nigra to drier conditions after damming of an alpine river, southeast France. Annals of Forest Science, 2006, vol. 63, no 4, pp. 377–385. DOI:10.1051/forest:2006018.
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Copyright (c) 2025 Марина Анатольевна Гурская, Леонид Иванович Агафонов, Максим Олегович Ермоленко

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