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 Archive |
These works are licensed under a Creative Commons Attribution 4.0 International License. O.N. Tyukavina, D.N. Klevtsov, I.N. Bolotov, B.Yu. Filippov, G.M. Adayi Complete text of the article:Download article (pdf, 1MB )UDС630*231DOI:10.17238/issn0536-1036.2018.6.101AbstractRational use of forests first of all is а transition to the resource-saving technologies including the use of forest plantations phytomass as а raw material for the processing industry. The use of all parts of tree (stand) is a matter of great economic importance. Wastewood (boughs and needles), edgings (bark) and products of their processing are widely used in chemical, pulp and paper, perfume, pharmaceutical and food industries, agriculture and production of construction materials. Knowledge of total biological productivity as well as individual biometric parameters of forest phytocenoses is necessary for compiling a database of forest vegetation bioproductivity dynamics at different levels. The research purpose was determining the biological productivity of Scots pine cultures in the north taiga forest area (Arkhangelsk region, Plesetsk district). The objects of observations were the areas of Scots pine cultures in blueberry and cowberry types of forest growing conditions. Sample plots were laid with the use of standard methods. 10 sample trees were taken from different thickness levels on each sample plot. Sample trees were divided into the following fractions of phytomass: dry boughs, living branches, tree foliage (needle-leaved shoots with diameter above buttress up to 0.8 cm), trunk bark, trunk wood. Masses of fractions for each sample tree were determined by the means of electronic quick balance within the accuracy of ±50 g. The initial mass data of the phytomass fractions of the sample trees from each sample plot were subjected to the regression analysis, which is considered to be the most accurate and universal. Biological productivity of pine cultures (4.3 t/ha per year) in blueberry pine forest is 11 % more than in cowberry pine forest (3.8 t/ha per year). Biological productivity of the cultures in all aerial phytomass fractions of the stand in the both studied forest types increases in the age range from 31 to 48 years. The most representative parameter of stands bioproductivity is stemwood mass. The fraction ratio in the total aerial phytomass increases with age. Inverse relationship is distinctive for such phytomass fractions as trunk bark and crown. Their ratio in the total mass of tree layer decreases with aged. The fraction of dry boughs accumulates mass in the studied age range, while its ratio is increasing in the total aerial phytomass. Data on formation dynamics of phytocoenosis phytomass can be used for justifying of silvicultural measures.AuthorsO.N. Tyukavina1, Candidate of Agricultural Sciences, Associate ProfessorD.N. Klevtsov1, Candidate of Agricultural Sciences, Associate Professor I.N. Bolotov2, Doctor of Biological Sciences, Senior Researcher B.Yu. Filippov1, Doctor of Biological Sciences, Associate Professor G.M. Adayi1,3, Postgraduate Student Affiliation1Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, 163002, Russian Federation; e-mail: d.klevtsov@narfu.ru, o.tukavina@narfu.ru2N. Laverov Federal Center for Integrated Arctic Research, RAS, Naberezhnaya Severnoy Dviny, 23, Arkhangelsk, 163000, Russian Federation; e-mail: i.bolotov@narfu.ru 3Takoradi Technical University, P.O. BOX 256, Takoradi, Western Region, Ghana; e-mail: georgeadayi@yahoo.com Keywordsforest cultures, pine, aerial phytomass, biological productivityFor citationTyukavina O.N., Klevtsov D.N., Bolotov I.N., Filippov B.Yu., Adayi G.M. Biological Productivity of Scots Pine Cultures in the Northern Taiga Forest Area. Lesnoy Zhurnal [Forestry Journal], 2018, no. 6, pp. 101–108. DOI: 10.17238/issn0536-1036.2018.6.101 References1. Lesotaksatsionnyy spravochnik dlya severo-vostoka evropeyskoy chasti SSSR [Forest Valuation Handbook for the North-East of the European Part of the USSR]. Arkhangelsk, AILiLKH Publ., 1986. 356 p. (In Russ.)2. Melekhov I.S. Lesovedeniye: ucheb. [Forest Science: Textbook]. Moscow, MGUL Publ., 2002. 399 p. (In Russ.) 3. Ogiyevskiy V.V., Khirov A.A. Obsledovaniye i issledovaniye lesnykh kul’tur [Inspection and Study of Forest Cultures]. Leningrad, LTA Publ., 1967. 50 p. (In Russ.) 4. Osipov A.F. Biologicheskaya produktivnost’ sosnyakov chernichno-sfagnovykh sredney taygi [Biological Productivity of Blueberry-Sphagnum Pine Forests of the Middle Taiga]. Lesnoy Zhurnal [Forestry Journal], 2013, no. 1, pp. 43–51. 5. Rodin A.R., Merzlenko M.D. Metodicheskiye rekomendatsii po izucheniyu lesnykh kul’tur starshikh vozrastov [Methodological Recommendations on the Study of Old-Aged Forest Cultures]. Moscow, VASKHNIL Publ., 1983. 36 p. (In Russ.) 6. Sokolov N.N. Metodicheskiye ukazaniya k diplomnomu proyektirovaniyu po taksatsii probnykh ploshchadey [Guidelines for Thesis Project on Valuation of Sample Plots]. Arkhangelsk, ALTI Publ., 1978. 44 p. (In Russ.) 7. Usol’tsev V.A. Biologicheskaya produktivnost’ lesov Severnoy Evrazii: metody, baza dannykh i eye prilozheniya [Biological Productivity of the Northern Eurasia Forests: Methods, Database and Its Applications]. Ekaterinburg, UrO RAN Publ., 2007. 636 p. (In Russ.) 8. Usol’tsev V.A., Nagimov Z.Ya., Tepikin S.V. Raspredeleniye massy vetvey eli po tolshchinam i vertikal’nomu profilyu: modelirovaniye i sostavleniye tablits [Distribution of Weight of Spruce Branches by Thickness and Vertical Profile: Modeling and Tabulation]. Lesnaya taksatsiya i lesoustroystvo [Forest Valuation and Silviculture]. Krasnoyarsk, SibTI Publ., 1991, pp. 32–41. 9. Feklistov P.A., Evdokimov V.N., Barzut V.M. Biologicheskiye i ekologicheskiye osobennosti rosta sosny v severnoy podzone evropeyskoy taygi [Biological and Ecological Features of Pine Growth in the Northern Subzone of the European Taiga]. Arkhangelsk, ASTU Publ., 1997. 140 p. (In Russ.) 10. Chibisov G.A. Biologicheskaya produktivnost’ sosnyakov, formiruyemykh rubkami ukhoda [Biological Productivity of Pine Forests formed by Improvement Thinning]. Lesnoy Zhurnal [Forestry Journal], 1997, no. 5, pp. 7–16. 11. Albrektson A. Relation between Tree Biomass Fraction and Conventional Silvicultural Measurements. Ecological Bulletins, 1980, no. 32, pp. 315–327. 12. Helmisaari H.-S., Makkonen K., Kellomäki S., Valtonen E., Mälkönen E. Belowand Above-Ground Biomass, Production and Nitrogen Use in Scots Pine Stands in Eastern Finland. Forest Ecology and Management, 2002, vol. 165, iss. 1–3, pp. 317–326. 13. Hunt S.L., Gordon A.M., Morris D.M. Carbon Stocks in Managed Conifer Forest in Northern Ontario. Silva Fennica, 2010, vol. 44, no. 4, pp. 563–582. Available at: https://www.silvafennica.fi/pdf/article128.pdf (accessed 31.12.2010). DOI: doi.org/10.14214/sf.128 14. Kolari P., Pumpanen J., Rannik Ü., Ilvesniemi H., Hari P., Berninger F. Carbon Balance of Different Aged Scots Pine Forest in Southern Finland. Global Change Biology, 2004, vol. 10, iss. 7, pp. 1106–1119. DOI: 10.1111/j.1529-8817.2003.00797.x 15. Mälkönen E. Annual Primary Production and Nutrient Cycle in Some Scots Pine Stands. Metsäntutkimuslaitoksen julkaisuja, 1974, vol. 84, no. 5, pp. 1–87. 16. Muukkonen P., Mäkipää R., Laiho R., Minkkinen K., Vasander H., Finér L. Relationship between Biomass and Percentage Cover in Understory Vegetation of Boreal Coniferous Forests. Silva Fennica, 2006, vol. 40, no. 2, pp. 231–245. Available at: https://www.silvafennica.fi/pdf/article340.pdf (accessed 31.12.2006). DOI: 10.14214/sf.340 17. Repola J. Models for Vertical Wood Density of Scots Pine, Norway Spruce and Birch Stems, and Their Application to Determine Average Wood Density. Silva Fennica, 2006, vol. 40, no. 4, pp. 673–685. Available at: https://www.silvafennica.fi/pdf/article 322.pdf (accessed 31.12.2006). DOI: 10.14214/sf.322 18. Shanin V., Komarov A., Mäkipää R. Tree Species Composition Affects Productivity and Carbon Dynamics of Different Site Types in Boreal Forests. European Journal of Forest Research, 2014, vol. 133, iss. 2, pp. 273–286. DOI: 10.1007/s10342-013-0759-1 19. Stinson G., Kurz W.A., Smyth C.E., Neilson E.T., Dymond C.C., Metsaranta J.M., Boisvenue C., Rampley G.J., Li Q., White T.M., Blain D. An Inventory-Based Analysis of Canadaʼs Managed Forest Carbon Dynamics, 1990 to 2008. Global Change Biology, 2011, vol. 17, iss. 6, pp. 2227–2244. DOI: 10.1111/j.1365-2486.2010.02369.x 20. Vanninen P., Ylitalo H., Sievänen R., Mäkelä A. Effects of Age and Site Quality on the Distribution of Biomass in Scots Pine (Pinus sylvestris L.). Trees, 1996, vol. 10, iss. 4, pp. 231–238. DOI: 10.1007/BF02185674 21. Wang K.-Y., Kellomäki S., Zha T.S., Peltola H. Component Carbon Fluxes and Their Contribution to Ecosystem Carbon Exchange in a Pine Forest: An Assessment Based on Eddy Covariance Measurements and an Integrated Model. Tree Physiology, 2004, vol. 24, iss. 1, pp. 19–34. Available at: https://academic.oup.com/treephys/article/24/1/19/ 1669211?searchresult=1 (accessed 01.01.2004). DOI: 10.1093/treephys/24.1.19 Received on March 06, 2018 Biological Productivity of Scots Pine Cultures in the Northern Taiga Forest Area |
Make a Submission
Lesnoy Zhurnal (Russian Forestry Journal) was awarded the "Seal of Recognition for Active Data Provider of the Year 2024" INDEXED IN:
|
|
|
|
|
|
|
|
|
|
|
|
|