Skip to main content
SpringerLink
Log in

Regional Features of the Radial Growth of Scots Pine under Climatic Conditions of the Forest-Steppe and Steppe Zones of Eastern Transbaikalia According to Multiparameter Tree-Ring Chronologies

  • Published:
Contemporary Problems of Ecology Aims and scope

Abstract

A dendroecological study of the annual ring parameters of Scots pine (Pinus sylvestris L.) trees growing in the forest-steppe and steppe zones of Eastern Transbaikalia has been carried out. Using the methods of digital anatomy of annual rings, two (Nov and Tz) tree-ring chronologies based on four parameters (annual ring width, earlywood width, latewood width, and latewood optical density) have been constructed for the studied territory for the first time. A comparative analysis of the chronologies has made it possible to evaluate tree growth parameters under conditions of the forest-steppe (Nov) and steppe (Tz) zones and reveal the presence of reliable relations between them. The calculation of moving correlation coefficients reveals period*s when correlation coefficients fell below reliable values, indicating the impossibility of constructing a generalized regional chronology for the forest-steppe and steppe zones of Eastern Transbaikalia. A comparison of the chronologies with the weather parameters (ground air temperature and precipitations), as well as with the calculated drought and moisture indices (Selyaninov’s hydrothermal coefficient, Ped’s drought index, and Palmer drought severity index (PDSI)) reveal the most sensitive characteristics of annual rings in the studied area. In the forest-steppe zone, the highest correlation coefficients are obtained between the average annual precipitation and the annual ring width (r = 0.59) or the earlywood width (r = 0.59), as well as between the average air temperature for a hydrological year and the latewood width (r = 0.51). For the trees from the steppe zone, the most significant correlation is revealed between the annual precipitation and the annual ring width (r = 0.43) or earlywood width (r = 0.43), as well as between the PDSI for June–September and the earlywood width (r = 0.52).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

Similar content being viewed by others

REFERENCES

  1. Andreev, S.G., Vaganov, E.A., Naurzbaev, M.M., and Tulokhonov, A.K., Radial growth of trees as an indicator of long-term changes in the hydrological regime in the Lake Baikal basin, Geogr. Prir. Resur., 2001, no. 4, pp. 49–54.

  2. Atlas Zabaikal’skogo kraya (Atlas of Zabaykalsky Krai), Chita: Ekspress-Izdatel’stvo, 2010.

  3. Briffa, K.R., Jones, P.D., Schweingruber, F.H., Shiyatov, S.G., and Cook, E.R., Unusual 20th-century summer warmth in a 1,000-year temperature record from Siberia, Nature, 1995, vol. 376, pp. 156–159.

    Article  CAS  Google Scholar 

  4. Campbell, R., McCarroll, D., Loader, N.J., Grudd, H., Robertson, I., and Jalkanen, R., Blue intensity in Pinus sylvestris tree-rings: developing a new palaeoclimate proxy, Holocene, 2007, vol. 17, no. 6, pp. 821–828. https://doi.org/10.1177/0959683607080523

    Article  Google Scholar 

  5. Cherenkova, E.A., Quantitative assessment of atmospheric droughts in the federal districts of the European part of Russia, Izv. Ross. Akad. Nauk, Ser. Geogr., 2013, no. 6, pp. 76–85.

  6. Cherepnin, V.L., Izmenchivost’ semyan sosny obyknovennoi (Variability of Seeds of Scotch Pine), Novosibirsk: Nauka, 1980.

  7. Cook, E.R. and Krusic, P.J., Program ARSTAN: a tree-ring standardization program based on detrending and autoregressive time series modeling, with interactive graphics, 2008. http://www.ldeo.columbia.edu/res/fac/ trl/public/publicSoftware.html. Cited October 18, 2021.

  8. Cook, E.R., Solomina, O., Matskovsky, V., Cook, B. I., Agafonov, L., Dolgova, E., Karpukhin, A., Knzsh, N., Kulakova, M., Kuynetsova, V., Kzncl, T., Kzncl, J., Maximova, O., Panyushkina, I., Seim, A., et al., The European Russia drought atlas (1400–2016 CE), Clim. Dyn., 2020, vol. 54, nos. 3–4, pp. 2317–1335. https://doi.org/10.1007/s00382-019-05115-2

    Article  Google Scholar 

  9. Dai, A., Trenberth, K.E., and Qian, T.T., A global dataset of Palmer drought severity index for 1870–2002: relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 2004, vol. 5, no. 6, pp. 1117–1130. https://doi.org/10.1175/JHM-386.1

    Article  Google Scholar 

  10. Davi, N.K., Rao, M.P., Wilson, R., Andreu-Hayles, L., Oelkers, R., D’Arrigo, R., Nachin, B., Buckley, B., Pederson, N., Leland, C., and Suran, B., Accelerated recent warming and temperature variability over the past eight centuries in the Central Asian Altai from blue intensity in tree rings, Res. Lett., 2021, vol. 48, no. 16, pp. 17–23.

    Article  Google Scholar 

  11. Demina, A.V., Belokopytova, L.V., Kostyakova, T.V., Babushkina, E.A., and Andreev, S.G., Radial increment dynamics of Scots pine (Pinus sylvestris L.) as an indicator of hydrothermal regime of the western Transbaikalia forest steppe, Contemp. Probl. Ecol., 2017, vol. 10, no. 5, pp. 476–487.

    Article  Google Scholar 

  12. Devi, N.M., Kukarskikh, V.V., Galimova, A.A., Bubnov, M.O., and Zykov, C.V., Modern dynamics of alpine forests in the Northern Urals: general trends, Zh. Sib. Fed. Univ., Ser.: Biol., 2018, vol. 11, no. 3, pp. 248–259.

    Google Scholar 

  13. Dolgova, E., June–September temperature reconstruction in the Northern Caucasus based on blue intensity data, Dendrochronologia, 2016, vol. 39, pp. 17–23.

    Article  Google Scholar 

  14. Fischer, H., Meissner, K.J., Mix, A.C., Abram, N.J., Austermann, J., Brovkin, V., Capron, E., Colombaroli, D., Daniau, A.L., Dyez, K.A., Felis, T., Finkelstein, S.A., Jaccard, S.L., McClymont, E.L., Rovere, A., et al., Palaeoclimate constraints on the impact of 2°C anthropogenic warming and beyond, Nat. Geosci., 2018, vol. 11, no. 7, pp. 474–485. https://doi.org/10.1038/s41561-018-0146-0

    Article  CAS  Google Scholar 

  15. Fritts, H.C., Tree Rings and Climate, New York: Academic, 1976.

    Google Scholar 

  16. Galimova, R.G., Perevedentsev, Yu.P., and Yamanaev, G.A., Agro-climatic resources of the Republic of Bashkortostan, Vestn. Voronezh. Gos. Univ., Ser.: Geogr., Geoekol., 2019, no. 3, pp. 29–39.

  17. Hillebrand, H., Donohue, I., Harpole, W.S., Hodapp, D., Kucera, M., Lewandowska, A.M., Merder, J., Montoya, J.M., and Freund, J.A., Thresholds for ecological responses to global change do not emerge from empirical data, Nat. Ecol. Evol., 2020, vol. 4, pp. 1502–1509. https://doi.org/10.1038/s41559-020-1256-9

    Article  PubMed  Google Scholar 

  18. Holmes, R.L., Computer-assisted quality control in tree-ring dating and measurement, Tree-Ring Bull., 1983, vol. 44, pp. 69–75.

    Google Scholar 

  19. Jensen, W.B., The origin of the Soxhlet extractor, J. Chem. Educ., 2007, vol. 84, no. 12, pp. 1913–1914. https://doi.org/10.1021/ed084p1913

    Article  CAS  Google Scholar 

  20. Kirdyanov, A.V., Saurer, M., Siegwolf, R.T.W., Knorre, A.A., Prokushkin, A.S., Churakova, O.V., Fonti, M.V., and Büntgen, U., Long-term ecological consequences of forest fires in the continuous permafrost zone of Siberia, Environ. Res. Lett., 2020, vol. 15, no. 3. https://doi.org/10.1088/1748-9326/ab7469

  21. Larsson, L., CooRecorder and Cdendro programs of the CooRecorder, Cdendro package version 9.1, 2018. https://www.cybis.se/forfun/dendro/helpcoorecorder7/ index.htm. Cited October 18, 2021.

  22. Myglan, V.S., Zharnikov, Z.Y., Sidorova, M.O., Barinov, V.V., and Tainik, A.V., Application of the blue-intensity method for dating wooden buildings in Siberia, Arkheol., Etnogr. Antropol. Evrazii, 2018, vol. 46, no. 4, pp. 109–113.

    Article  Google Scholar 

  23. Noskova, E.V. and Obyazov, V.A., Climate, in Entsiklopediya Zabaikal’ya (Encyclopedia of Transbaikalia), Novosibirsk: Nauka, 2014, pp. 255–257.

  24. Noskova, E.V., Vakhnina, I.L., and Kurganovich, K.A., Characteristics of moisture conditions in the closed lakes of the Torey Plain using meteorological data, Vestn. Zabaik. Gos. Univ., 2019, vol. 25, no. 3, pp. 22–30. https://doi.org/10.21209/2227-9245-2019-25-3-22-30

    Article  Google Scholar 

  25. Pravdin, L.F., Sosna obyknovennaya (izmenchivost’, vnutrividovaya sistematika i selektsiya) (Scotch Pine: Variability, Intraspecific Taxonomy, and Breeding), Moscow: Nauka, 1964.

  26. Rinn, F., TSAP V3.5. Computer Program for Tree-Ring Analysis and Presentation, Heidelberg: Frank Rinn Distribution, 1996.

    Google Scholar 

  27. Rydval, M., Larsson, L.Å., McGlynn, L., and Gunnarson, B.E., Blue intensity for dendroclimatology: should we have the blues? Experiments from Scotland, Dendrochronologia, 2014, vol. 32, no. 3, pp. 191–204.

    Article  Google Scholar 

  28. Rygalova, N.V. and Bykov, N.I., Spatio-temporal variability of the climatic data of the tree-ring chronologies of the band and Ob pine forests, Zh. Sib. Fed. Univ., Ser.: Biol., 2015, vol. 8, no. 4, pp. 394–409. https://doi.org/10.17516/1997-1389-2015-8-4-394-409

    Article  Google Scholar 

  29. Rygalova, N.V. and Kharlamova, N.F., Spatio-temporal analysis of the development of narrow growth rings in pine forests of the steppe zone of western Siberia, Izv. Ross. Akad. Nauk, Ser. Geogr., 2021, vol. 85, no. 1, pp. 109–119.

    Google Scholar 

  30. Tchebakova, N.M., Parfenova, E.I., Korets, M.A., and Conard, S.G., Potential change in forest types and stand heights in central Siberia in a warming climate, Environ. Res. Lett., 2016, vol. 11, no. 3. https://doi.org/10.1088/1748-9326/11/3/035016

  31. Vaganov, E.A., Hughes, M.K., and Shashkin, A.V., Growth Dynamics of Conifer Tree Rings: Images of Past and Future Environments, Berlin: Springer-Verlag, 2006.

    Google Scholar 

  32. Vakhnina, I.L. and Noskova, E.V., Climate dynamics in Southeastern Transbaikalia during the vegetation season according to meteorological and dendrochronological data, Gidrometeorol. Issled. Prognozy, 2021, no. 3 (381), pp. 83–101. https://doi.org/10.37162/2618-9631-2021-3-77-94

  33. Voronin, V.I., Oskolkov, V.A., Buyantuev, V.A., and Sizykh, A.P., Dynamics of the upper forest boundary in the high altitudes of the Northern Baikal region, Sib. Lesn. Zh., 2016, no. 4, pp. 77–85.

  34. Wigley, T.M., Briffa, K.R., and Jones, P.D., On the average value of correlated time series, with applications in dendroclimatology and hydrometeorology, J. Clim. Appl. Meteorol., 1984, vol. 23, no. 2, pp. 201–213.

    Article  Google Scholar 

  35. Zhang, H., Fan, J., Cao, W., Harris, W., Li, Y., Chi, W., and Wang, S., Response of wind erosion dynamics to climate change and human activity in Inner Mongolia, China during 1990 to 2015, Sci. Total Environ., 2018, vol. 639, pp. 1038–1050. https://doi.org/10.1016/j.scitotenv.2018.05.082

    Article  CAS  PubMed  Google Scholar 

  36. Zhao, T. and Dai, A., Uncertainties in historical changes and future projections of drought. Part II: model-simulated historical and future drought changes, Clim. Change, 2017, vol. 144, no. 3, pp. 535–548. https://doi.org/10.1007/s10584-016-1742-x

    Article  Google Scholar 

Download references

Funding

The collection and treatment of samples, as well as construction of tree-ring chronologies, were financially supported by the Russian Science Foundation, project no. 19-14-00028. The analysis of climatic characteristics and calculation of the climatic response of tree-ring chronologies were carried out as part of the State Task “Mechanisms for Providing Economical Sustainability and Environmental Safety in a New model for the Development of Eastern Regions of Russia under Conditions of Transboundary Relations and Global Challenges of the 21st Century,” theme no. 121032200126-6.

Author information

Authors and Affiliations

  1. Siberian Federal University, 660041, Krasnoyarsk, Russia

    I. L. Vakhnina, V. S. Myglan, V. V. Barinov & A. V. Tainik

  2. Institute of Natural Resources, Ecology and Cryology, Siberian Branch, Russian Academy of Sciences, 672002, Chita, Russia

    I. L. Vakhnina & E. V. Noskova

Authors
  1. I. L. Vakhnina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. S. Myglan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. E. V. Noskova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. V. V. Barinov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. V. Tainik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to I. L. Vakhnina.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Statement of the welfare of animals

This article does not contain any studies with animals performed by any of the authors.

Additional information

Translated by N. Statsyuk

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vakhnina, I.L., Myglan, V.S., Noskova, E.V. et al. Regional Features of the Radial Growth of Scots Pine under Climatic Conditions of the Forest-Steppe and Steppe Zones of Eastern Transbaikalia According to Multiparameter Tree-Ring Chronologies. Contemp. Probl. Ecol. 15, 118–128 (2022). https://doi.org/10.1134/S199542552202010X

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S199542552202010X

Keywords:

Search

Navigation