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Title: STOCHASTIC SIMULATION OF SELF-THINNING
STOCHASTIC SIMULATION OF SELF-THINNING

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Petras Rupsys
10.5593/sgem2024/3.1/s14.46
10.5593/sgem2024/3.1
1314-2704
978-619-7603-70-5
English
24
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Forest Ecosystems
Understanding the principles of self-thinning forest ecosystems is essential for taking modern management techniques into practice. The spatial distribution of the surviving trees in a stand is influenced by a variety of factors, including tree mortality. In young forests, competition has a major role in determining spatial mortality; in older forests, random changes in the environment have a major role. The dynamics of the number of living and dead trees in the forests of central Lithuania will be addressed in this study. The Gompertz type mixed effect parameters univariate stochastic differential equations of the tree diameter, height, and occupied area combined with the normal copula function are used to derive new models for the number per ha of living and dead trees. The mean values of the dead tree size variables had much lower trajectories, which is especially apparent in mature stands, as demonstrated by the study of the individual tree size variables (height and diameter). The results are illustrated using experimental field studies carried out in Lithuania, in the municipality of Kazlu Ruda. The following information was gathered using 48 permanent test plots placed in mixed-species, uneven-aged stands: age, diameter at breast height (58,829 trees), tree position (58,829 trees), and height (10,796 trees). All results were implemented using the symbolic algebra system Maple.
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I thank the Edmundas Petrauskas research group for their help with sampling in the field. This research paper has received funding from Horizon Europe Framework Programme (HORIZON), call Teaming for Excellence (HORIZON-WIDERA-2022-ACCESS-01-two-stage) - Creation of the centre of excellence in smart forestry “Forest 4.0” No. 101059985”. This research was co-funded by FOREST 4.0 - Ekscelencijos centras tvariai misko bioekonomikai vystyti" (Nr. 10-042-P-0002).
conference
https://doi.org/10.5593/sgem2024/3.1/s14.46
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 07 July, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
393-400
1 - 07 July, 2024
website
9713
self-thinning, occupied area, diameter, height, stochastic differential equation, copula function.

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