Address: 17 Naberezhnaya Severnoy Dviny, Arkhangelsk 163002 Russian Federation. Northern (Arctic) Federal University named after M.V.Lomonosov. Office 1425

Phone / Fax: (818-2) 21-61-18
E-mail: forest@narfu.ru
http://lesnoizhurnal.ru/en/

RussianEnglish



Archive

The Relationship Between the Average Forest Inventory Indices of Birch Stands in the Krasnoyarsk-Achinsk-Kansk Forest-Steppe Area

Версия для печати
Creative Commons License
These works are licensed under a Creative Commons Attribution 4.0 International License.

S.L. Shevelev, M.N. Efremova

Complete text of the article:

Download article (pdf, 0.5MB )

UDС

UDC 630*5

DOI:

10.17238/issn0536-1036.2017.2.42

Abstract

The paper analyzes the impact between the average forest inventory indices of the forestlands with the silver birch dominance (Betula pendula Roth.) in the forest-steppe zone of Middle Siberia. The study object is the forestland with an absolute birch stand predominance in the Mansky Forestry in the Krasnoyarsk region. The study is based on the data of the forest inventory of 1212 subcompartments. The selected forestland is typical for the forest systems of the Krasnoyarsk-Achinsk-Kansk forest-steppe area. The stands of the herbal group of the forest types are dominated. The birch stands are characterized by the 2nd soilsite index. The basic part of birch stands is the middle-aged stands. The primary statistical data processing is carried out on the first stage. The analysis of the series of the average forest inventory characteristics within the age groups demonstrates their correspondence to the rows of normal distribution. The establishment of connections is carried out on the typological basis. So, the pairwise connections are analyzed between the average forest inventory indices in the stands of the prevailing forest types – herb-grass-sedge and herb-grass-reed birch stands. Two types of forest stands can be attributed to the same general population. The equations of the dynamics of mean heights and mean diameters of birch stands are calculated. The conditionality of growing stock formation by the values of mean heights, mean diameters and relative stand densities is considered. As a result, the multiple regression equations are obtained. The accuracy test of  etermination of growing stocks according to the equations is carried out by the comparison with the data of the Standard table of the Central forestry scientific research institute and sample plots materials. The magnitude of deviation is close to the magnitude of equations deviations. The final part of the work is the establishment of the pairwise connection between the mean heights of the stands of the herbal group of the forest types and the mean diameters. As a result of the work, the multiple and pairwise regression connections between the average forest inventory indices for birch stands of the herbal group of the forest types are established. The obtained equations can be used when interpreting the data of forest aerial photography and adoption the forest inventory regulations.

Authors

S.L. Shevelev, Doctor of Agricultural Sciences, Professor M.N. Efremova, Postgraduate Student

Affiliation

Siberian State Technological University, pr. Mira, 82, Krasnoyarsk, 660049, Russian Federation;e-mail: taksator@sibstu.Rts.ru, tenia@mail.ru

Keywords

forestland, birch stand, mean diameter, mean height, relative density, stock ofstem wood.

For citation

Shevelev S.L., Efremova M.N. The Connection Between the Average Forest Inventory Indices of Birch Stands in the Krasnoyarsk-Achinsk-Kansk Forest-Steppe Area. Lesnoy zhurnal [Forestry journal], 2017, no. 2, pp. 42–51. 10.17238/issn0536-1036.2017.2.42

References

1. Anuchin N.P. Lesnaya taksatsiya [Forest Taxation]. Moscow, 1982. 551 p.
2. Glazov N.M. Statisticheskiy metod v taksatsii i lesoustroystve [The Statistical Method in Inventory and Forest Management]. Moscow, 1976. 144 p.
3. Krasikov I.I., Shevelev S.L. Struktura lesnykh massivov v Respublike Tyva [The Structure of Forestlands in the Republic of Tyva]. Krasnoyarsk, 2013. 118 p.
4. Morozov L.M. Osnovy organizatsii khozyaystva v taezhnykh bereznyakakh Ob'-Irtyshskogo mezhdurech'ya: avtoref. dis. … kand. s.-kh. nauk [Fundamentals of Economy in the Taiga Birch Forests in the Ob-Irtysh Interfluve: Cand. Agric. Sci. Diss. Abs.]. Krasnoyarsk, 1978. 23 p.
5. Moshkalev A.G., Knize A.A., Ksenofontov N.I., Ulanov N.S. Taksatsiya tovarnoy struktury drevostoev [Taxation of Stand Commodity Composition]. Moscow, 1982. 160 p.
6. Tyurin A.V. Tablitsy sbega i ob"ema stvolov berezy po bonitetam [Taper and Volume Tables of Birch Trunks According to the Site Classes]. Massovye tablitsy dlya sosny, eli, duba, berezy i osiny po klassam boniteta [Mass Pine, Spruce, Oak, Birch and Aspen Tables According to the Site Classes]. Moscow; Leningrad, 1931, pp. 405–496.
7. Emery M.R., Wrobel A., Hansen M.H., Dockry M., Moser W.K., Stark K.J., Gilbert J.H. Using Traditional Ecological Knowledge as a Basis for Targeted Forest Inventory: Paper Birch (Betula papyrifera) in the US Great Lakes Region. J. of Forestry, 2014, no. 112(2), pp. 207–214.
8. Grossman H. Ergebnisse der in Jare 1957 durchgefuhrten Holzvorrats und Zuwachsinventur im Plenterwald Keula. Arch. Fur Forstwesen, 1959, no. 6/7, pp. 666–689.
9. Grossman H., Wolff G. Versuche zur Rationalisierung der Methodik von Holzvarrotsinventuren auf mathematisch-statistischer Grundlage. Arch. Fur Forstwesen, 1963, no. 12, pp. 77–101.
10. Howard A.F., Yaussy D.A. Multivariate Regression Model for Predicting Yields of Grade Lumber from Yellow Birch Sawlogs. Forest Products J., 1986, no. 36, pp. 56–60.
11. Moser W.K., Hansen M.H., Gormanson D., Gilbert J.H., Wrobel A., Emery M.R., Dockry M.J. Paper Birch (Wiigwaas) of the Lake States, 1980–2010. USA: Department of Agriculture, Forest Service, Northern Research Station, 2015. 37 p. Received on November 14, 2016


The Relationship Between the Average Forest Inventory Indices of Birch Stands in the Krasnoyarsk-Achinsk-Kansk Forest-Steppe Area

 

Make a Submission


ADP_cert_2024.png

Lesnoy Zhurnal (Russian Forestry Journal) was awarded the "Seal of Recognition for Active Data Provider of the Year 2024"

INDEXED IN: 


DOAJ_logo-colour.png

logotype.png

Логотип.png