Influence of Climatic Factors on Scots Pine (Pinus sylvestris L.) Growth on the Coast of the Kandalaksha Bay of the White Sea. P. 105–119

Complete text of the article:

Download article (pdf, 0.7MB )

UDС

551.58+57.044

DOI:

10.37482/0536-1036-2023-4-105-119

Abstract

The purpose of this study is a comparative analysis of linear and radial increments of Scots pine (Pinus sylvestris L.) as a response to the growing conditions on the coast of the Kandalaksha Bay of the White Sea, as well as an evaluation of the temperature and precipitation influences of the current and previous growing seasons. These were applied to the conventional methods of measurement and data analysis. The dynamics of growth in height and diameter were employed as indicators of the stands' response to habitant conditions. A statistical analysis of the growth rates was performed, which vary depending on habitat type, as well as an assessment of the connection between biometric indicators of the stands and the amount of precipitation and mean temperature. The significant differences in the series of linear increment increases were found as distinctions between biotopes, but they were absent for the radial increment. Therefore, it is possible to monitor the typical behavior of tree diversity independent of the biotope type using radial growth series. This provides the foundation for a long-term retrospective analysis of environmental impact on the stands by using the annual rings of the trees without taking growing conditions into account. Precipitation was determined to be a limiting factor for radial and linear growth throughout the phenophase of internodal growth and early wood formation. Temperature was identified as a limiting factor for radial development only during the stages of late wood formation and resource accumulation for the following growing season. The high sensitivity of linear increases to climatic conditions was revealed, which makes it useful as a criterion for assessing the state of forest ecosystems over short time periods (up to 30 years). However, this, in turn, dictates the impossibility of forming long-term linear increment series, as for radial growth, which is a significant limitation of this method. The choice of linear or radial growth analysis methods is concluded to be determined by the goals of the intended study, i.e., monitoring forest ecosystems under current climate change conditions or long-term paleoclimate analysis.

Authors

Anna E. Koukhta¹*, Candidate of Biology; ResearcherID: A-9570-2016, ORCID: https://orcid.org/0000-0002-3710-3578
Olga V. Maksimova^1,2, Candidate of Engineering; ResearcherID: AAB-8632-2020, ORCID: https://orcid.org/0000-0002-0569-8650
Veronika V. Kuznetsova³, Candidate of Geography; ResearcherID: AAG-7392-2021, ORCID: https://orcid.org/0000-0003-3155-7330

Affiliation

¹Yu.A. Izrael Institute of Global Climate and Ecology, ul. Glebovskaya, 20b, Moscow, 107058, Russian Federation; anna_koukhta@mail.ru*
²University of Science and Technology MISIS, prosp. Leninskiy, 4, Moscow, 119049, Russian Federation; o-maximova@yandex.ru
³Institute of Geography Russian Academy of Sciences, per. Staromonetny, 29, Moscow, 119017, Russian Federation; kuznetsova@igras.ru

Keywords

Scots pine, linear increment, radial increment, biotope, precipitation sum, temperature, Kandalaksha Bay, the Republic of Karelia

For citation

Koukhta A.E., Maksimova O.V., Kuznetsova V.V. Influence of Climatic Factors on Scots Pine (Pinus sylvestris L.) Growth on the Coast of the Kandalaksha Bay of the White Sea. Lesnoy Zhurnal = Russian Forestry Journal, 2023, no. 4, pp. 105–119. (In Russ.). https://doi.org/10.37482/0536-1036-2023-4-105-119

References

1. Alisov B.P. Climate of the USSR. Moscow, Moscow State University Publ., 1956. 128 p. (In Russ.).

2. Bulygina O.N., Razuvayev V.N., Korshchnova N.N., Shvets N.V. Description of the Data Set of Monthly Precipitation Totals at the Stations in Russia. Database of All-Russian Scientific Research Institute of Hydrometeorological Information – World Data Center. Certificate of state registration of the database №. 2015620394. (In Russ.). Режим доступа: http://meteo.ru/data/158-total-precipitation#описание-массива-данных (дата обращения: 21.03.21).

3. Bulygina O.N., Razuvayev V.N., Trofimenko L.T., Shvets N.V. Description of the Data Set of the Mean Monthly Air Temperature at the Stations in Russia. Database of All-Russian Scientific Research Institute of Hydrometeorological Information – World Data Center. Certificate of state registration of the database No. 2014621485. (In Russ.). Режим доступа: http://meteo.ru/data/156-temperature#описание-массива-данных (дата обращения: 22.03.21).

4. Dolgova E.A., Matskovskiy V.V., Solomina O.N. Dendrochronology of the Solovetsky Islands. Geografiya: razvitiye nauki i obrazovaniya. Vol. 1. Sankt Petersburg, A.I. Hertzen Russian State Pedagogical University Publ., 2018, vol. 1. pp. 394–398. (In Russ.).

5. Dolgova E.A., Solomina O.N., Matskovskiy V.V., Dobryanskiy A.S., Semenyak N.A., Shpunt S.S. Spatial Variation of Pine Tree-Ring Growth in the Solovetsky Islands. Izvestiya RAN. Seriya Geograficheskaya, 2019, no. 2, pp. 41–50. (In Russ.). https://doi.org/10.31857/S2587-55662019241-50

6. Kuznetsova V.V., Chernokulskiy A.V., Kozlov F.A., Kukhta A.E. Connection Between the Linear and Radial Growth of Scots Pine with Sediments of Different Genesis in the Forests of the Kerzhensky Reserve. Izvestiya RAN, Seriya Geograficheskaya, 2020, no. 1, pp. 93–102. (In Russ.). https://doi.org/10.31857/S2587556620010124

7. Kukhta A.E. Influence of Temperature and Precipitation on the Annual Linear Growth of Scots Pine on the Shores of the Kandalaksha Bay. Lesnoy vestnik = Forestry Bulletin, 2009, no. 1, pp. 61–67. (In Russ.).

8. Kukhta A.E., Popova E.N. Climatic Signal in the Linear Growth of Scots Pine in Boreal Phytocenoses of the White Sea Coast. Problemy ecologicheskogo monitoringa i modelirovaniya ecosystem, 2020, vol. 31, no. 3-4, pp. 33–45. (In Russ.). https://doi.org/10.21513/0207-2564-2020-3-33-45

9. Kukhta A.E., Rumyantsev D.E. Linear and Radial Increments of Scots Pine in the Volga-Kama and Central-Forest State Natural Reserves. Lesnoy vestnik = Forestry Bulletin, 2010, no. 3, pp. 88–93. (In Russ.).

10. Ramenskaya M.L. Analysis of the Flora of Murmansk Region and Karelia. Leningrad, Nauka Publ., 1983. 215 p. (In Russ.).

11. Rumyancev D.E., Lipatkin V.A., Epishkov A.A., Volkova G.L. Statistical Patterns of Variability in the Time Series of the Radial Growth of Scots Pine in Terms of Synchronism in the Territory of the Russian Plain. Sovremenny`e problemy nauki i obrazovaniya = Modern Problems of Science and Education, 2015, no. 5, art. no. 688. (In Russ.).

12. Solomina O.N., Matskovskiy V.V., Zhukov R.S. The Vologda and Solovki Dendrochronological «Chronicles» as a Source of Information About the Climate Conditions of the Last Millennium. Doklady Akademii nauk, 2011, vol. 439, no. 4, pp. 539–544. (In Russ.). https://doi.org/10.1134/S1028334X11080071

13. Sukachev V.N. Selected Works in Three Volumes. Vol. 1: Fundamentals of Forest Typology and Biogeocenology. Ed. by E.M. Lavrenko. Leningrad, Nauka Publ., 1972. 419 p. (In Russ.).

14. Tishkov A.A., Krenke Jr. A.N. «Greening» of the Arctic in the XXI Century as a Synergistic Effect of Global Warming and Economic Development. Arktika: ekologiya i ekonomika = Arctic: Ecology and Economy, 2015, vol. 4(20), pp. 28–37. (In Russ.).

15. Typological Diversity of Forests in European Russia. Database: Price Fund of European Russia. Режим доступа: http://cepl.rssi.ru/bio/flora/princip.htm (дата обращения: 02.03.21). 

16. Cook E.R., Holmes R.L. Guide for Computer Program ARSTAN. The International Tree-Ring Data Bank Program Library Version, 1996, vol. 2, pp. 75–87.

17. Cook E., Peters K. The Smoothing Spline: A New Approach to Standardizing Forest Interior Tree-Ring Width Series for Dendroclimatic Studies. Tree-Ring Bulletin, 1981, vol. 41, pp. 45–53.

18. Chernogaeva G.M., Kuhta A.E. The Response of Boreal Forest Stands to Recent Climate Change in the North of the European Part of Russia. Russian Meteorology and Hydrology, 2018, vol. 43, no. 6, pp. 418–424. https://doi.org/10.3103/S1068373918060109

19. Chernogaeva G.M., Kuznetsova V.V., Kukhta A.E. Precipitation Effects on the Growth of Boreal Forest Stands in the Volga Region. Russian Meteorology and Hydrology, 2020, vol. 45, no. 12, pp. 851–857. https://doi.org/10.3103/S1068373920120055

20. Dolgova E., Cherenkova E., Solomina O., Matskovsky V. Influence of the Large-Scale Atmospheric Circulation Variations on Spruce Tree-Ring Growth from Solovki Islands (Russia). Practical Geography and XXI Century Challenges. Proceedings of International Geographical Union Thematic Conference dedicated to the Centennial of the Institute of Geography of the Russian Academy of Sciences, Moscow, 4–6 June 2018. Moscow, Federal State Budgetary Scientific Institution Institute of Geography RAS Publ., 2018, pp. 96.

21. Grissino-Mayer H.D. Evaluating Crossfading Accuracy: A Manual and Tutorial for the Computer Program COFECHA, 2001, pp. 205–221.

22. Holmes R.L. Computer-Assisted Quality Control in Tree-Ring Dating and Measurement. Tree-Ring Bulletin, 1983, vol. 43, pp. 69–78.

23. Kruskal W.H., Wallis W.A. Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association, 1952, vol. 47, no. 260, pp. 583–621. https://doi.org/10.1080/01621459.1952.10483441

24. Matskovsky V., Kuznetsova V., Morozova P., Semenyak N., Solomina O. Estimated Influence of Extreme Climate Events in the 21st Century on the Radial Growth of Pine Trees in Povolzhie Region (European Russia). IOP Conference Series. Earth and Environmental Science, 2020, vol. 611, no. 1, art. no. 012047. https://doi.org/10.1088/1755-1315/611/1/012047

25. Misi D., Puchałka R., Pearson C., Robertson I., Koprowski M. Differences in the Climate-Growth Relationship of Scots Pine: A Case Study from Poland and Hungary. Forests, 2019, vol. 10, no. 3, p. 243. https://doi.org/10.3390/f10030243

26. Pinus sylvestris. The Gymnosperm Database. Available at: https://www.conifers.org/pi/Pinus_sylvestris.php (accessed 21.03.20).

27. Thabeet A., Vennetier M., Gadbin-Henry C., Dendelle N., Roux M., Caraglio Y., Vila B. Response of Pinus sylvestris L. to Recent Climatic Events in the French Mediterranean Region. Trees, 2009, vol. 23, no. 4, pp. 843–853. https://doi.org/10.1007/s00468-009-0326-z

28. Tukey J.W. Comparing Individual Means in the Analysis of Variance. Biometrics, 1949, vol. 5, no. 2, pp. 99–114. https://doi.org/10.2307/3001913

29. Wilson R., Anchukaitis K., Briffa K.R., Büntgen U., Cook E., Darrigo R., Davi N., Esper J., Frank D., Gunnarson B., Hegerl G. Last Millennium Northern Hemisphere Summer Temperatures from Tree Rings. Part I: The Long-Term Context. Quaternary Science Reviews, 2016, vol. 134, pp. 1–18. https://doi.org/10.1016/j.quascirev.2015.12.005