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Dynamics of stand basal areas and stocks in pine plantations of different initial density

https://doi.org/10.21266/2079-4304.2023.243.120-135

Abstract

The history of the study of growth and productivity of stands is characterized by the constant development of new models that improve and complement the previous ones. The purpose of the study is to develop empirical models of the dynamics of the basal areas and stocks of pine plantations of different initial density based on the materials of long-term observations on permanent sample plots. The object of the study was pine cultures on permanent trial plots of the Forest Experimental Station of the Russian State Agrarian University – Moscow Timiryazev Agricultural Academy. To modeling the dynamics of the basal areas and stocks, an additive model was used based on the Weibull probability density function, the parameters of which are expressed linearly from the initial density. The dynamics of stand indicators in each forest stand is individual, and it is influenced by many internal and external factors. Due to the heterogeneity of the action in space and time of environmental factors in the dynamics of stand indicators, deviations from monotonous curves appear, which indicate the presence of self-regulation mechanisms in populations of woody plants with the passage of forest stands through several stages from a stable to an unstable state. The tables of the course of growth do not reflect the dynamics of stand indicators of actual forest stands and cannot be used for its forecasting. It is impossible to present in tabular form the whole variety of trajectories of stand dynamics that are possible in nature. The tables of the course of growth of normal stands contain information on the limiting values of the basal areas and stocks, but plantings cannot be in such an unstable state in nature for a long time. The life cycle of a forest stand is a wave-like process of the dynamics of stand indicators, due to different intensity of the impact of both internal (manifestation of self-regulation in tree communities and feedback loops) and external factors. To model the nonmonotonic dynamics of forest stand indicators, it is possible to use models obtained by summing several simple growth functions or nonmonotonic ones with one maximum point.

About the Authors

N. N. Dubenok
Agricultural Reclamation, Forestry and Land Management at Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Russian Federation

DUBENOK Nikolay N. – DSс (Agriculture), professor, academician of RAS, head of the department

127434. Timiryazevskaya str. 49. Moscow



A. V. Lebedev
Forestry and Land Management at Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Russian Federation

LEBEDEV Aleksandr V. – PhD (Agriculture), associate professor of the department of Agricultural Reclamation

127434. Timiryazevskaya str. 49. Moscow



References

1. Bogachev A.V. Forest inventory research. Moscow: VNIILM, 2007. 344 p. (In Russ.)

2. Dubenok N.N., Kuzmichev V.V., Lebedev A.V. The results of experimental work over 150 years in the Forest experimental district of the Timiryazev Academy. M.: Nauka, 2020. 382 p. (In Russ.)

3. Karev G.P., Skomorovsky Yu.I. Modeling the dynamics of single-species forest stands. Siberian ecological journal, 1999, no. 4, pp. 403–417. (In Russ.)

4. Lebedev A.V. Changes in the growth of forest stands in Moscow according to long-term observations. Scientific Foundations of Sustainable Forest Management: Proceedings of the All-Russian Scientific Conference with International Participation Dedicated to the 30th Anniversary of the CEPL RAS, Moscow, April 25–29, 2022. M.: Center for Problems of Ecology and Productivity of Forests of the Russian Academy of Sciences, 2022a, pp. 321–323. (In Russ.)

5. Lebedev A.V., Kuzmichev V.V. Dynamics of forest survey parameters of pine tree stands according to long-term observation data. Sibirskij Lesnoj Zurnal (Sib. J. For. Sci.), 2023, no. 2. DOI: 10.15372/SJFS20230201. (In Russ.)

6. Lebedev A.V. Climate-optimized forestry in urban forests as a tool for adapting to environmental changes. Proceedings of the International Scientific Conference of Young Scientists and Specialists dedicated to the 135th anniversary of the birth of A.N. Kostyakova: collection of articles, Moscow, June 06–08, 2022, vol. 1. M.: Russian State Agrarian University: Moscow Timiryazev Agricultural Academy, 2022b, pp. 14–16. (In Russ.)

7. Merzlenko M.D., Babich N.A. Theory and practice of artificial reforestation. Arkhangelsk: Northern (Arctic) Federal University named after M.V. Lomonosov, 2011. 239 p. (In Russ.)

8. Milovanovich D.A. Tables of volumes, runoff and experimental tables of the course of growth of conditionally VI and V site index of pine of the Pechora Territory. Forest science and forestry. Appendix No. 1 of the journal «Forestry, Timber Industry and Fuel», 1927, iss. 4, pp. 125–146. (In Russ.)

9. Mikhailov A.V., Shanin V.N., Bezrukova M.G. Component approach to building models of forest ecosystems // Lesovedenie. 2010. No. 2. P. 69-76. (In Russ.)

10. Pshenichnikova L.S. Efficiency of the different-density regime of forest cultivation of pine crops in the southern taiga of central Siberia. Coniferous boreal zone, 2018, iss. 36, no. 6, pp. 517–523. (In Russ.)

11. Rogozin M.V., Razin G.S. Tree development. Models, laws, hypotheses: monograph. Perm, 2015. 277 p. (In Russ.)

12. Tyurin A.V. Study of the course of growth of normal pine plantations in the Arkhangelsk province. Tr. according to the forest experimental business in Russia, 1913, iss. 45. 135 p. (In Russ.)

13. Usoltsev V.A. Separation of the edaphic and coenotic components of the productivity of forest stands according to the density experiment. Forests of the Urals and households in them, 1994, iss. 17, pp. 77–85. (In Russ.)

14. Usoltsev V.A., Malenko A.A. Forest cultures of different initial density. Message 2. Analysis of experimental plantings of Scots pine. Ecopotential, 2014, no. 3(7), pp. 34–47. (In Russ.)

15. Khlustov V.K., Lebedev A.V. Monetary potential of forest stands and optimization of forest use: Monography. Irkutsk: Megaprint, 2017. 328 p. (In Russ.)

16. Shvidenko A.Z., Schepashchenko D.G., Nilson S., Buluyu Yu.I. Tables and models of the course of growth and productivity of plantations of the main forest-forming species of Northern Eurasia. Normative reference materials. M.: Federal Forestry Agency, 2008. 886 p. (In Russ.)

17. Dubenok N.N., Lebedev A.V., Gemonov A.V. Data set of long-term experiments in Forest Experimental Station of the Timiryazev Agricultural Academy since 1862. IOP Conference Series: Earth and Environmental Science, 2021, p. 012025. DOI: 10.1088/1755-1315/876/1/012025.

18. Lebedev A.V. Changes in the growth of Scots pine (Pinus sylvestris L.) stands in an urban environment in European Russia since 1862. J. For. Res., 2022. DOI: 10.1007/s11676-022-01569-z.

19. Lebedev A., Kuzmichev V. Verification of two- And three-parameter simple height-diameter models for birch in the european part of Russia. Journal of Forest Science, 2020, vol. 66, no. 9, pp. 375–382. DOI: 10.17221/76/2020-JFS.

20. Pretzsch H., Grote R., Reineking D., Roötzer Th., Seifert St. Models for Forest Ecosystem Management: A European Perspective. Annals of Botany, 2008, no. 101, pp. 1065–1087.

21. Pretzsch H. Trees grow modulated by the ecological memory of their past growth. Consequences for monitoring, modelling, and silvicultural treatment. Forest Ecology and Management, 2021, vol. 487, id 118982. DOI: 10.1016/j.foreco.2021.118982.

22. Vanclay J.K. Growth models for tropical forests: A synthesis of models and methods. Forest Science, 1995, vol. 41, no. 1, pp. 7–42. Wiedemann E. Die Kiefer. Hannover: Vcrlag Schaper, 1948.


Review

For citations:


Dubenok N.N., Lebedev A.V. Dynamics of stand basal areas and stocks in pine plantations of different initial density. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2023;(243):120-135. (In Russ.) https://doi.org/10.21266/2079-4304.2023.243.120-135

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ISSN 2079-4304 (Print)
ISSN 2658-5871 (Online)