Lesnoy Vestnik / Forestry Bulletin

Лесной вестник / Forestry Bulletin

2542-1468

Eco-Vector

706742

10.18698/2542-1468-2024-5-5-18

Sylviculture, forestry and forest estimation

Лесоведение, лесоводство и таксация леса

Research Article

Regional features of hardwoods trunk timber stock basic density in bark within Eurasia

Региональные особенности базисной плотности запаса стволовой древесины в коре у лиственных древесных видов Евразии

Usoltsev

Vladimir A.

Усольцев

Владимир Андреевич

Russian Federation

Dr. Sci. (Agriculture), Professor, Leader Resercher

д-р с.-х. наук, профессор, гл. науч. сотр., профессор кафедры лесной таксации и лесоустройства

Usoltsev50@mail.ru

Plyukha

Nikolay I.

Плюха

Николай Иванович

Russian Federation

pg.

аспирант кафедры лесной таксации и лесоустройства

nikcskript@mail.ru

Tsepordey

Ivan S.

Цепордей

Иван Степанович

Russian Federation

Cand. Sci. (Agriculture), Senior Resercher

канд. с.-х. наук, ст. науч. сотр.

ivan.tsepordey@yandex.ru

Ural State Forestry Engineering UniversityФГБОУ ВО «Уральский государственный лесотехнический университет»

Botanical Garden of the Ural Branch of the RASФГБУН «Ботанический сад Уральского отделения Российской академии наук»

26102024

285

5182404202624042026

2024

Usoltsev V.A., Plyukha N.I., Tsepordey I.S.

Усольцев В.А., Плюха Н.И., Цепордей И.С.

https://creativecommons.org/licenses/by/4.0

https://journals.eco-vector.com/2542-1468/article/view/706742

This study analyzes the regional characteristics of the trunk timber stock basic density in the bark of deciduous tree species growing in Eurasia. Being based on the data obtained from 2741 trees from six deciduous tree genera (species) growing in Eurasia, regression models of a mixed type have been developed for the trunk timber stock basic density, specific for clusters representing regions within the genus, species and origin of stands within the region. The structure of a mixed type model makes it possible to rank clusters according to the trunk timber stock basic bark density, provided that they are equal in age of trees (with the exception of the genera Betula and Populus, in which the age of the tree in the models is statistically insignificant). Two rankings were made according to the value of the trunk timber stock basic density in the bark, namely, the ranking of clusters within the genus (for European Beech — within the species) and species — specific ranking, according to which the maximum value is characterized by forest beech and the minimum is Black Poplar. The obtained models and the ranking of species by the value of the trunk timber stock basic density in the bark can be used to calculate the carbon pool in deciduous stands according to the forest inventory data.

Проведен анализ региональных особенностей базисной плотности запаса стволовой древесины в коре у лиственных древесных видов Евразии. По полученным данным (2741 дерево шести лиственных древесных родов (видов) Евразии) разработаны регрессионные модели смешанного типа для базисной плотности запаса стволовой древесины в коре, специфичные по кластерам, представляющим регионы в пределах рода, виды и происхождение древостоев в пределах региона. Структура модели смешанного типа позволяет выполнить ранжирование кластеров по базисной плотности запаса стволовой древесины в коре при условии их равенства по возрасту деревьев (за исключением родов Betula и Populus, у которых возраст дерева в моделях статистически незначим). Выполнены два ранжирования по величине базисной плотности запаса стволовой древесины в коре, а именно, ранжирование кластеров в пределах рода (для бука лесного — в пределах вида) и видоспецифичное ранжирование, согласно которому максимальным значением характеризуется бук лесной и минимальным – тополь черный. Полученные модели и ранжирования видов по величине базисной плотности запаса стволовой древесины в коре могут быть использованы при расчетах углеродного пула в лиственных древостоях по данным инвентаризации лесов.

Forest-forming species of Eurasiatrunk timber stock basic density in the barkregression models of mixed typespecies ranking

лесообразующие виды Евразиибазисная плотность запаса стволовой древесинырегрессионные модели смешанного типаранжирования видов

Augustine S.P., Bailey-Marren I., Charton K.T., Kiel N.G., Peyton M.S. Improper data practices erode the quality of global ecological databases and impede the progress of ecological research. Global Change Biology, 2024, v. 30, article e17116. https://doi.org/10.1111/gcb.17116

Augustine S.P., Bailey-Marren I., Charton K.T., Kiel N.G., Peyton M.S. Improper data practices erode the quality of global ecological databases and impede the progress of ecological research // Global Change Biology, 2024, v. 30, article e17116. https://doi.org/10.1111/gcb.17116

Gallagher R.V., Falster D.S., Maitner B.S., Salguero-Gómez R., Vandvik V., Pearse W.D., Schneider F.D., Kattge J., Poelen J.H., Madin J.S., Ankenbrand M.J., Penone C., Feng X., Adams V.M., Alroy J., Andrew S.C., Balk M.A., Bland L.M., Boyle B.L., Enquist B.J. Open science principles for accelerating trait-based science across the tree of life. Nature Ecology &Evolution, 2020, v. 4, pp. 294–303. https://doi.org/10.1038/s41559-020-1109-6

Gallagher R.V., Falster D.S., Maitner B.S., Salguero-Gómez R., Vandvik V., Pearse W.D., Schneider F.D., Kattge J., Poelen J.H., Madin J.S., Ankenbrand M.J., Penone C., Feng X., Adams V.M., Alroy J., Andrew S.C., Balk M.A., Bland L.M., Boyle B.L., Enquist B.J. Open science principles for accelerating trait-based science across the tree of life // Nature Ecology &Evolution, 2020, v. 4, pp. 294–303. https://doi.org/10.1038/s41559-020-1109-6

Wüest R.O., Zimmermann N.E., Zurell D., Alexander J.M., Fritz S.A., Hof C., Kreft H., Normand S., Cabral J.S., Szekely E., Thuiller W., Wikelski M., Karger D.N. Macroecology in the age of big data — Where to go from here?. J. of Biogeography, 2020, v. 47, no. 1, pp. 1–12. https://doi.org/10.1111/jbi.13633

Wüest R.O., Zimmermann N.E., Zurell D., Alexander J.M., Fritz S.A., Hof C., Kreft H., Normand S., Cabral J.S., Szekely E., Thuiller W., Wikelski M., Karger D.N. Macroecology in the age of big data — Where to go from here? // J. of Biogeography, 2020, v. 47, no. 1, pp. 1–12. https://doi.org/10.1111/jbi.13633

Kattge J., Bönisch G., Díaz S., Lavorel S., Prentice I.C., Leadley P., Tautenhahn S., Werner G.D.A., Aakala T., Abedi N., Acosta A.T.R., Adamidis G.C., Adamson K., Aiba M., Albert C.H., Alcantara J.M., Carolina Alcazar C., Aleixo I., Ali H. Wirth C. TRY plant trait database – Enhanced coverage and open access. Global Change Biology, 2020, v. 26, no. 1, pp. 119–188. DOI: 10.1111/gcb.14904

Kattge J., Bönisch G., Díaz S., Lavorel S., Prentice I.C., Leadley P., Tautenhahn S., Werner G.D.A., Aakala T., Abedi N., Acosta A.T.R., Adamidis G.C., Adamson K., Aiba M., Albert C.H., Alcantara J.M., Carolina Alcazar C., Aleixo I., Ali H. Wirth C. TRY plant trait database – Enhanced coverage and open access // Global Change Biology, 2020, v. 26, no. 1, pp. 119–188. DOI: 10.1111/gcb.14904

Petráš R., Mecko J., Krupová D. Aboveground biomass basic density of hardwoods tree species. Wood Research, 2020, v. 65, no. 6, pp. 1001–1012. DOI:/10.37763/wr.1336-4561/65.6.10011012

Petráš R., Mecko J., Krupová D. Aboveground biomass basic density of hardwoods tree species // Wood Research, 2020, v. 65, no. 6, pp. 1001–1012. DOI:/10.37763/wr.1336-4561/65.6.10011012

Ashwath M.N., Sathish B.N., Deepthi Dechamma N.L., Devagiri G.M., Hegde R.K., Hareesh T.S. Geographic and within tree variation for wood properties in Acrocarpus fraxinifolius Wight and Arn. populations. J. of Scientific & Industrial Research, 2021, v. 80, pp. 1049–1055. DOI: 10.56042/jsir.v80i12.44915

Ashwath M.N., Sathish B.N., Deepthi Dechamma N.L., Devagiri G.M., Hegde R.K., Hareesh T.S. Geographic and within tree variation for wood properties in Acrocarpus fraxinifolius Wight and Arn. populations // J. of Scientific & Industrial Research, 2021, v. 80, pp. 1049–1055. DOI: 10.56042/jsir.v80i12.44915

McLean P. Wood properties and uses of Scots pine in Britain. Forestry Commission Research Report. Forestry Commission, Edinburgh, 2019, 36 p.

Rebko S.V., Poplavskaya L.F., Tupik P.V., Ermak I.T., Borovik P.V., Mel’nik P.G. Otsenka dinamiki sokhrannosti i radial’nogo prirosta klimaticheskikh ekotipov sosny obyknovennoy v geograficheskikh lesnykh kul’turakh [Assessment of the dynamics of preservation and radial growth of climatic ecotypes of Scots pine in geographical forest cultures]. Aktual’nye problemy razvitiya lesnogo kompleksa [Current problems of development of the forest complex]. Vologda, 2023, pp. 453–456.

Ребко С.В., Поплавская Л.Ф., Тупик П.В., Ермак И.Т., Боровик П.В., Мельник П.Г. Оценка динамики сохранности и радиального прироста климатических экотипов сосны обыкновенной в географических лесных культурах // Актуальные проблемы развития лесного комплекса. Вологда, 2023. С. 453–456.

FAO, ITTO and United Nations. Forest product conversion factors. Rome, 2020, 70 p. https://doi.org/10.4060/ca7952en

10.

Zhou L., Chen Z., Lundqvist S.-O., Olsson L., Grahn T., Karlsson B., Wu H.X., García-Gil M.R. Genetic analysis of wood quality traits in Norway spruce open-pollinated progenies and their parent plus trees at clonal archives and the evaluation of phenotypic selection of plus trees. Canadian J. of Forest Research, 2019, v. 49, no. 7, pp. 810–818. DOI:10.1139/cjfr-2018-0117

Zhou L., Chen Z., Lundqvist S.-O., Olsson L., Grahn T., Karlsson B., Wu H.X., García-Gil M.R. Genetic analysis of wood quality traits in Norway spruce open-pollinated progenies and their parent plus trees at clonal archives and the evaluation of phenotypic selection of plus trees // Canadian J. of Forest Research, 2019, v. 49, no. 7, pp. 810–818. DOI:10.1139/cjfr-2018-0117

11.

Calleja-Rodriguez A., Pan J., Funda T., Chen Z-Q., Baison J., Isik F., Abrahamsson S., Wu H.X. Genomic prediction accuracies and abilities for growth and wood quality traits of Scots pine, using genotyping-by-sequencing (GBS) data. BioRxiv, 2019. http://dx.doi.org/10.1101/607648

12.

Hayatgheibi H., Fries A., Kroon J., Wu H.X. Genetic analysis of fiber dimension traits and combined selection for simultaneous improvement of growth and stiffness in lodgepole pine (Pinus contorta). Canadian J. of Forest Research, 2019, v. 49, no. pp. 500–509. DOI:10.1139/CJFR-2018-0445

Hayatgheibi H., Fries A., Kroon J., Wu H.X. Genetic analysis of fiber dimension traits and combined selection for simultaneous improvement of growth and stiffness in lodgepole pine (Pinus contorta) // Canadian J. of Forest Research, 2019, v. 49, no. 5, pp. 500–509. DOI:10.1139/CJFR-2018-0445

13.

Suontama M., Klápště J., Telfer E., Graham N., Stovold T., Low C., McKinley R., Dungey H. Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories. Heredity, 2019, v. 122, pp. 370–379. https://doi.org/10.1038/s41437-018-0119-5

Suontama M., Klápště J., Telfer E., Graham N., Stovold T., Low C., McKinley R., Dungey H. Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories // Heredity, 2019, v. 122, pp. 370–379. https://doi.org/10.1038/s41437-018-0119-5

14.

Fedorkov A., Andersson Gull B., Persson T., Mullin T.J. Longitudinal differences in scots pine shoot elongation. Silva Fennica, 2018, t. 52, no. 5, p. 10040.

Fedorkov A., Andersson Gull B., Persson T., Mullin T.J. Longitudinal differences in scots pine shoot elongation // Silva Fennica, 2018, t. 52, no. 5, p. 10040.

15.

Arunkumar A.N., Chauhan S.S. Non-destructive selection of genotypes with better wood properties from morphologically superior genotypes of Eucalyptus pellita. Current Science, 2020, v. 118, no. 12, pp. 1953–1958.

Arunkumar A.N., Chauhan S.S. Non-destructive selection of genotypes with better wood properties from morphologically superior genotypes of Eucalyptus pellita // Current Science, 2020, v. 118, no. 12, pp. 1953–1958.

16.

Ukrainetz N.K., Mansfield S.D. Assessing the sensitivities of genomic selection for growth and wood quality traits in lodgepole pine using Bayesian models. Tree Genetics and Genomes, 2020, v. 16, no. 1, pp. 1–19. https://doi.org/10.1007/s11295-019-1404-z

Ukrainetz N.K., Mansfield S.D. Assessing the sensitivities of genomic selection for growth and wood quality traits in lodgepole pine using Bayesian models // Tree Genetics and Genomes, 2020, v. 16, no. 1, pp. 1–19. https://doi.org/10.1007/s11295-019-1404-z

17.

Poorter L., Rozendaal D.M.A., Bongers F. Westoby M. Wet and dry tropical forests show opposite successional pathways in wood density but converge over time. Nature Ecology and Evolution, 2019, v. 3, pp. 928–934. https://doi.org/10.1038/s41559-019-0882-6

Poorter L., Rozendaal D.M.A., Bongers F. Westoby M. Wet and dry tropical forests show opposite successional pathways in wood density but converge over time // Nature Ecology and Evolution, 2019, v. 3, pp. 928–934. https://doi.org/10.1038/s41559-019-0882-6

18.

Giroud G., Schneider R., Fournier R.A., Luther J.E., Martin-Ducup O. Modeling black spruce wood fiber attributes with terrestrial laser scanning. Canadian J. of Forest Research, 2019, v. 49, no. 6, pp. 661–669. DOI:10.1139/CJFR-2018-0342

Giroud G., Schneider R., Fournier R.A., Luther J.E., Martin-Ducup O. Modeling black spruce wood fiber attributes with terrestrial laser scanning // Canadian J. of Forest Research, 2019, v. 49, no. 6, pp. 661–669. DOI:10.1139/CJFR-2018-0342

19.

Giagli K., Vavrčík H., Fajstavr M., Černý J., Novosadová K., Martiník A. Stand factors affecting the wood density of naturally regenerated young silver birch growing at the lower altitude of the Czech Republic region. Wood Research, 2019, v. 64, no. 6, pp. 1011–1022.

Giagli K., Vavrčík H., Fajstavr M., Černý J., Novosadová K., Martiník A. Stand factors affecting the wood density of naturally regenerated young silver birch growing at the lower altitude of the Czech Republic region // Wood Research, 2019, v. 64, no. 6, pp. 1011–1022.

20.

Chowdhury Q., Sarker S.K., Ali B., Imran I.H., Datta A., Leban J.-M. Accounting intra-tree radial wood density variation provides more accurate above ground mangrove biomass estimation in the Sundarbans. Research Square, 2024, pp. 1–26. DOI: 10.21203/rs.3.rs-3505676/v1

Chowdhury Q., Sarker S.K., Ali B., Imran I.H., Datta A., Leban J.-M. Accounting intra-tree radial wood density variation provides more accurate above ground mangrove biomass estimation in the Sundarbans // Research Square, 2024, pp. 1–26. DOI: 10.21203/rs.3.rs-3505676/v1

21.

Liepiņš J., Jaunslaviete I., Liepiņš K., Jansone L., Matisons R., Lazdiņš A., Jansons Ā. Effect of stem rot on wood basic density, carbon, and nitrogen content of living deciduous trees in hemiboreal forests. Silva Fennica, 2023, v. 57, no. 3, article 23040. https://doi.org/10.14214/sf.23040

Liepiņš J., Jaunslaviete I., Liepiņš K., Jansone L., Matisons R., Lazdiņš A., Jansons Ā. Effect of stem rot on wood basic density, carbon, and nitrogen content of living deciduous trees in hemiboreal forests // Silva Fennica, 2023, v. 57, no. 3, article 23040. https://doi.org/10.14214/sf.23040

22.

Schimleck L., Dahlen J., Apiolaza L.A., Downes G., Emms G., Evans R., Moore J., Pâques L., Van den Bulcke J., Wang X. Non-destructive evaluation techniques and what they tell us about wood property variation. Forests, 2019, v. 10, article 728. DOI:10.3390/f10090728

Schimleck L., Dahlen J., Apiolaza L.A., Downes G., Emms G., Evans R., Moore J., Pâques L., Van den Bulcke J., Wang X. Non-destructive evaluation techniques and what they tell us about wood property variation // Forests, 2019, v. 10, article 728. DOI:10.3390/f10090728

23.

Usoltsev V.А., Tsepordey I.S. Kvalimetriya fitomassy lesnykh dereviev: metody nerazrushayushchego kontrolya, baza dannykh i ee prilozheniya [Qualimetry of phytomass of forest trees. Non-destructive testing methods, database and its applications]. Yekaterinburg: UGLTU, 2023, 186 p.

Усольцев В.А., Цепордей И.С. Квалиметрия фитомассы лесных деревьев. Методы неразрушающего контроля, база данных и ее приложения. Екатеринбург: Изд-во УГЛТУ, 2023. 186 c.

24.

Medeiros D.T., Melo R.R., Cademartori P.H.G., Batista F.G., Mascarenhas A.R.P., Scatolino M.V., Hein P.R.G. Prediction of the basic density of tropical woods by near-infrared spectroscopy. CERNE, 2023, v. 29, article103262. DOI:10.1590/01047760202329013262

Medeiros D.T., Melo R.R., Cademartori P.H.G., Batista F.G., Mascarenhas A.R.P., Scatolino M.V., Hein P.R.G. Prediction of the basic density of tropical woods by near-infrared spectroscopy // CERNE, 2023, v. 29, article103262. DOI:10.1590/01047760202329013262

25.

Giroud G., Defo M., Begin J. Determination of radial profiles of wood properties using a near infrared scanning system. J. of Near Infrared Spectroscopy, 2021, v. 29, no. 1, pp. 24–32. https://doi.org/10.1364/JNIRS.29.000024

Giroud G., Defo M., Begin J. Determination of radial profiles of wood properties using a near infrared scanning system // J. of Near Infrared Spectroscopy, 2021, v. 29, no. 1, pp. 24–32. https://doi.org/10.1364/JNIRS.29.000024

26.

Rocha M.F.V., Veiga T.R.L.A., Soares B.C.D., de Araújo A.C.C., Carvalho A.M.M., Hein P.R.G. Do the growing conditions of trees influence the wood properties?. Floresta e Ambiente, 2019, v. 26, no. 3, article e20180353. https://doi.org/10.1590/2179-8087.035318

Rocha M.F.V., Veiga T.R.L.A., Soares B.C.D., de Araújo A.C.C., Carvalho A.M.M., Hein P.R.G. Do the growing conditions of trees influence the wood properties? // Floresta e Ambiente, 2019, v. 26, no. 3, article e20180353. https://doi.org/10.1590/2179-8087.035318

27.

Kerfriden B., Bontemps J.-D., Leban J.-M. Variations in temperate forest stem biomass ratio along three environmental gradients are dominated by interspecific differences in wood density. Plant Ecology, 2021, v. 222, pp. 289–303. https://doi.org/10.1007/s11258-020-01106-0

Kerfriden B., Bontemps J.-D., Leban J.-M. Variations in temperate forest stem biomass ratio along three environmental gradients are dominated by interspecific differences in wood density // Plant Ecology, 2021, v. 222, pp. 289–303. https://doi.org/10.1007/s11258-020-01106-0

28.

Santos M.E.C., Melo R.R., Correia D., Sousa J.A., Santos A.M., Silva A.K.V., Paula E.A.O., Alves A.R., Scatolino M.V., Rusch F., Mascarenhas A.R.P., Pimenta A.S., Stangerlin D.M. Variation in the basic density of woods produced in the Brazilian semiarid region subjected to different irrigation regimes. Forests, 2023, v. 14, article 2168. https://doi.org/10.3390/f14112168

Santos M.E.C., Melo R.R., Correia D., Sousa J.A., Santos A.M., Silva A.K.V., Paula E.A.O., Alves A.R., Scatolino M.V., Rusch F., Mascarenhas A.R.P., Pimenta A.S., Stangerlin D.M. Variation in the basic density of woods produced in the Brazilian semiarid region subjected to different irrigation regimes // Forests, 2023, v. 14, article 2168. https://doi.org/10.3390/f14112168

29.

Teegalapalli K., Pandey C.K., Osuri A.M., Ratnam J., Sankaran M. Understanding the variation in wood densities of trees and its implications for carbon assessments. BioRxiv, 2019, article 523480. https://doi.org/10.1101/523480

Teegalapalli K., Pandey C.K., Osuri A.M., Ratnam J., Sankaran M. Understanding the variation in wood densities of trees and its implications for carbon assessments // BioRxiv, 2019, article 523480. https://doi.org/10.1101/523480

30.

Usoltsev V.A., Tsepordey I.S., Shubairi S.O.R., Dar Dzh.A., Chasovskikh V.P. Additivnye allometricheskie modeli fitomassy derev’ev i drevostoev dvukhvoynykh sosen kak osnova regional’nykh taksatsionnykh normativov dlya Evrazii [Additive allometric models of phytomass of trees and stands of double-leaved pines as the basis of regional taxation standards for Eurasia]. Eco-potential, 2018, no. 1 (21), pp. 27–47.

Усольцев В.А., Цепордей И.С., Шубаири С.О.Р., Дар Дж.А., Часовских В.П. Аддитивные аллометрические модели фитомассы деревьев и древостоев двухвойных сосен как основа региональных таксационных нормативов для Евразии // Эко-потенциал, 2018. № 1 (21). С. 27–47.

31.

Tsepordey I.S. Biologicheskaya produktivnost’ lesoobrazuyushchikh vidov v klimaticheskom kontekste Evrazii [Biological productivity of forest-forming species in the climatic context of Eurasia]. Ed. V.A. Usoltsev. Yekaterinburg: Izd-vo UMTs UPI, 2023, 467 p. https://elar.usfeu.ru/handle/123456789/12450

Цепордей И.С. Биологическая продуктивность лесообразующих видов в климатическом контексте Евразии / под ред. В.А. Усольцева. Екатеринбург: Изд-во УМЦ УПИ, 2023. 467 с. https://elar.usfeu.ru/handle/123456789/12450

32.

Syofyan L., Maideliza T., Syamsuardi, Mansyurdin. Variation of wood density and anatomical characters from altitude differences: Case study of selected Fabaceae trees in West Sumatra secondary forest, Indonesia. International Conference on Basic Sciences and Its Applications, KnE Engineering, 2019, pp. 190–203. DOI:10.18502/keg.v1i2.4444

Syofyan L., Maideliza T., Syamsuardi, Mansyurdin. Variation of wood density and anatomical characters from altitude differences: Case study of selected Fabaceae trees in West Sumatra secondary forest, Indonesia // Int. Conf. on Basic Sciences and Its Applications, KnE Engineering, 2019, pp. 190–203. DOI:10.18502/keg.v1i2.4444

33.

Usoltsev V.A., Tsepordey I.S. Kvalimetriya fitomassy lesnykh dereviev: plotnost’ i soderzhanie sukhogo veshchestva [Qualimetry of forest tree biomass: density and dry matter content]. Yekaterinburg: Ural State Forest Engineering University, Botanical Garden of Ural Branch of RAS, 2020. https://elar.usfeu.ru/bitstream/123456789/10022/1/Usolcev_20.pdf

Усольцев В.А., Цепордей И.С. Квалиметрия фитомассы лесных деревьев. Плотность и содержание сухого вещества. Екатеринбург: Изд-во УГЛТУ; Ботанический сад УрО РАН, 2020. https://elar.usfeu.ru/bitstream/123456789/10022/1/Usolcev_20.pdf

34.

Fabisiak E., Fabisiak B. Relationship of tracheid length, annual ring width, and wood density in Scots pine (Pinus sylvestris L.). Trees from different social classes of tree position in the stand. BioResources, 2021, v. 16, no. 4, pp. 7492–7508.

Fabisiak E., Fabisiak B. Relationship of tracheid length, annual ring width, and wood density in Scots pine (Pinus sylvestris L.). Trees from different social classes of tree position in the stand // BioResources, 2021, v. 16, no. 4, pp. 7492–7508.

35.

Vicentin P.G., Cambuim J., Florsheim S.M.B., de Moraes M.L.T., Longui E.L. Longitudinal variation of wood basic density and anatomy of Curatella americana L. Scientific Electronic Archives, 2021, v. 14, no. 10, pp. 20–25. http://dx.doi.org/10.36560/141020211396

Vicentin P.G., Cambuim J., Florsheim S.M.B., de Moraes M.L.T., Longui E.L. Longitudinal variation of wood basic density and anatomy of Curatella americana L. // Scientific Electronic Archives, 2021, v. 14, no. 10, pp. 20–25. http://dx.doi.org/10.36560/141020211396

36.

Zhang S.Y., Ren H., Jiang Z. Wood density and wood shrinkage in relation to initial spacing and tree growth in black spruce (Picea mariana). J. of Wood Science, 2021, v. 67, article 30. https://doi.org/10.1186/s10086-021-01965-9

Zhang S.Y., Ren H., Jiang Z. Wood density and wood shrinkage in relation to initial spacing and tree growth in black spruce (Picea mariana) // J. of Wood Science, 2021, v. 67, article 30. https://doi.org/10.1186/s10086-021-01965-9

37.

Dobrowolska E., Wroniszewska P., Jankowska A. Density distribution in wood of European birch (Betula pendula Roth). Forests, 2020, v. 11, article 445. DOI:10.3390/f11040445

Dobrowolska E., Wroniszewska P., Jankowska A. Density distribution in wood of European birch (Betula pendula Roth) // Forests, 2020, v. 11, article 445. DOI:10.3390/f11040445

38.

Erdene-Ochir T., Ishiguri F., Nezu I., Tumenjargal B., Baasan B., Chultem G., Ohshima J., Yokota S. Modeling of radial variations of wood properties in naturally regenerated trees of Betula platyphylla grown in Selenge, Mongolia. J. of Wood Science, 2021, v. 67, article 61. https://doi.org/10.1186/s10086-021-01993-5

Erdene-Ochir T., Ishiguri F., Nezu I., Tumenjargal B., Baasan B., Chultem G., Ohshima J., Yokota S. Modeling of radial variations of wood properties in naturally regenerated trees of Betula platyphylla grown in Selenge, Mongolia // J. of Wood Science, 2021, v. 67, article 61. https://doi.org/10.1186/s10086-021-01993-5

39.

Wentzel M., Pesenti H., Droppelmann F., Rolleri A. Thinning wood properties of Nothofagus alpina under three different silvicultural conditions. Maderas. Ciencia y Tecnología, 2024, v. 26, article 7. https://doi.org/10.22320/s0718221x/2024.07

Wentzel M., Pesenti H., Droppelmann F., Rolleri A. Thinning wood properties of Nothofagus alpina under three different silvicultural conditions // Maderas. Ciencia y Tecnología, 2024, v. 26, article 7. https://doi.org/10.22320/s0718221x/2024.07

40.

Cahuana L.A.P., Piña E.A.G., Tuesta G.P., Tomazello-Filho M. Radial variation of wood density and fiber morphology of two commercial species in a tropical humid forest in southeastern Peru. CERNE, 2023, v. 29, article e-103143. DOI: 10.1590/01047760202329013143

Cahuana L.A.P., Piña E.A.G., Tuesta G.P., Tomazello-Filho M. Radial variation of wood density and fiber morphology of two commercial species in a tropical humid forest in southeastern Peru // CERNE, 2023, v. 29, article e-103143. DOI: 10.1590/01047760202329013143

41.

Liepinš K., Liepinš J., Ivanovs J., Bardule A., Jansone L., Jansons A. Variation in the basic density of the tree components of gray alder and common alder. Forests, 2023, v. 14, article 135. https://doi.org/10.3390/f14010135

Liepinš K., Liepinš J., Ivanovs J., Bardule A., Jansone L., Jansons A. Variation in the basic density of the tree components of gray alder and common alder // Forests, 2023, v. 14, article 135. https://doi.org/10.3390/f14010135

42.

Riki J.T.B., Adeyemo S.M., Majekobaje A.R., Oyelere A.T., Oluwadare A.O. Density variation in axial and radial positions of Caribbean pine (Pinus Caribaea Morelet) grown in Afaka, Nigeria. J. of Agriculture and Environment, 2019, v. 15, no. 2, pp. 163–171.

Riki J.T.B., Adeyemo S.M., Majekobaje A.R., Oyelere A.T., Oluwadare A.O. Density variation in axial and radial positions of Caribbean pine (Pinus Caribaea Morelet) grown in Afaka, Nigeria // J. of Agriculture and Environment, 2019, v. 15, no. 2, pp. 163–171.

43.

Demol M., Calders K., Krishna Moorthy S.M., van den Bulcke J., Verbeeck H., Gielen B. Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning. Trees – Structure and Function, 2021, v. 35, pp. 671–684. https://doi.org/10.1007/s00468-020-02067-7

Demol M., Calders K., Krishna Moorthy S.M., van den Bulcke J., Verbeeck H., Gielen B. Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning // Trees – Structure and Function, 2021, v. 35, pp. 671–684. https://doi.org/10.1007/s00468-020-02067-7

44.

Sseremba O.E., Mugabi P., Banana A.Y., Wessels B.C., Plessis M. Variation of basic density, calorific value and volumetric shrinkage within tree height and tree age of Ugandan grown Eucalyptus grandis wood. J. of Forestry Research, 2021, v. 32, pp. 503–512. https://doi.org/10.1007/s11676-020-01141-7

Sseremba O.E., Mugabi P., Banana A.Y., Wessels B.C., Plessis M. Variation of basic density, calorific value and volumetric shrinkage within tree height and tree age of Ugandan grown Eucalyptus grandis wood // J. of Forestry Research, 2021, v. 32, pp. 503–512. https://doi.org/10.1007/s11676-020-01141-7

45.

Ribeiro M.D.S.B., Rodrigues S.A., Ballarin A.W. Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. Canadian J. of Forest Research, 2020, v. 50, no. 2, pp. 193–202. http://hdl.handle.net/11449/201527

Ribeiro M.D.S.B., Rodrigues S.A., Ballarin A.W. Multivariate association of wood basic density with site and plantation variables in Eucalyptus spp. // Canadian J. of Forest Research, 2020, v. 50, no. 2, pp. 193–202. http://hdl.handle.net/11449/201527

46.

Repola J., Lindblad J., Heikkinen J. Pulpwood green density prediction models and sampling-based calibration. Silva Fennica, 2021, v. 55, no. 4, article 10539. https://doi.org/10.14214/sf.10539

Repola J., Lindblad J., Heikkinen J. Pulpwood green density prediction models and sampling-based calibration // Silva Fennica, 2021, v. 55, no. 4, article 10539. https://doi.org/10.14214/sf.10539

47.

Baez S., Fadrique B., Feeley K., Homeier J. Changes in tree functional composition across topographic gradients and through time in a tropical montane forest. PLoS ONE, 2022, v. 17, no. 4, article e0263508. https://doi.org/10.1371/journal.pone.0263508

Baez S., Fadrique B., Feeley K., Homeier J. Changes in tree functional composition across topographic gradients and through time in a tropical montane forest // PLoS ONE, 2022, v. 17, no. 4, article e0263508. https://doi.org/10.1371/journal.pone.0263508

48.

Que Q., Ouyang K., Li C., Li B., Song H., Li P., Pian R., Li H., Chen X., Peng C. Geographic variation in growth and wood traits of Neolamarckia cadamba in China. Forestry Research, 2022, v. 2, article 12. https://doi.org/10.48130/FR-2022-0012

Que Q., Ouyang K., Li C., Li B., Song H., Li P., Pian R., Li H., Chen X., Peng C. Geographic variation in growth and wood traits of Neolamarckia cadamba in China // Forestry Research, 2022, v. 2, article 12. https://doi.org/10.48130/FR-2022-0012

49.

Bouslimi B., Koubaa A., Bergeron Y. Regional, site, and tree variations of wood density and growth in Thuja occidentalis L. in the Quebec forest. Forests, 2022, v. 13, article 1984. https://doi.org/10.3390/f13121984

Bouslimi B., Koubaa A., Bergeron Y. Regional, site, and tree variations of wood density and growth in Thuja occidentalis L. in the Quebec forest // Forests, 2022, v. 13, article 1984. https://doi.org/10.3390/f13121984

50.

Shchekalev R.V., Danilov D.A., Zaytsev D.A., Korchagov S.A., Melehov V.I. Variation of physical and mechanical properties of Pinus sylvestris L. wood in the boreal zone of the European Northeast. South-East European Forestry, 2023, v. 14, no. 2, pp. 197–213. https://doi.org/10.15177/seefor.23-18

Shchekalev R.V., Danilov D.A., Zaytsev D.A., Korchagov S.A., Melehov V.I. Variation of physical and mechanical properties of Pinus sylvestris L. wood in the boreal zone of the European Northeast // South-East European Forestry, 2023, v. 14, no. 2, pp. 197–213. https://doi.org/10.15177/seefor.23-18

51.

Vaughan D., Auty D., Kolb T.E., Meador A.J.S., Mackes K.H., Dahlen J., Moser W.K. Climate has a larger effect than stand basal area on wood density in Pinus ponderosa var. scopulorum in the southwestern USA. Annals of Forest Science, 2019, v. 76, no. 3, article 85. DOI: 10.1007/s13595-019-0869-0

Vaughan D., Auty D., Kolb T.E., Meador A.J.S., Mackes K.H., Dahlen J., Moser W.K. Climate has a larger effect than stand basal area on wood density in Pinus ponderosa var. scopulorum in the southwestern USA // Annals of Forest Science, 2019, v. 76, no. 3, article 85. DOI: 10.1007/s13595-019-0869-0

52.

Wylie R.R.M., Woods M.E., Dech J.P. Estimating stand age from airborne laser scanning data to improve models of black spruce wood density in the boreal forest of Ontario. Remote Sensing, 2019, v. 11, article 2022. DOI: 10.3390/rs11172022

Wylie R.R.M., Woods M.E., Dech J.P. Estimating stand age from airborne laser scanning data to improve models of black spruce wood density in the boreal forest of Ontario // Remote Sensing, 2019, v. 11, article 2022. DOI: 10.3390/rs11172022

53.

Šilinskas B., Varnagiryte-Kabašinskiene I., Aleinikovas M., Beniušiene L., Aleinikoviene J., Škema M. Scots pine and Norway spruce wood properties at sites with different stand densities. Forests, 2020, v. 11, no. 5, article 587. DOI: 10.3390/F11050587

Šilinskas B., Varnagiryte-Kabašinskiene I., Aleinikovas M., Beniušiene L., Aleinikoviene J., Škema M. Scots pine and Norway spruce wood properties at sites with different stand densities // Forests, 2020, v. 11, no. 5, article 587. DOI: 10.3390/F11050587

54.

Balasso M., Hunt M., Jacobs A., O’Reilly-Wapstra J. Characterisation of wood quality of Eucalyptus nitens plantations and predictive models of density and stiffness with site and tree characteristics. Forest Ecology and Management, 2021, v. 491, article 118992. https://doi.org/10.1016/j.foreco.2021.118992

Balasso M., Hunt M., Jacobs A., O’Reilly-Wapstra J. Characterisation of wood quality of Eucalyptus nitens plantations and predictive models of density and stiffness with site and tree characteristics // Forest Ecology and Management, 2021, v. 491, article 118992. https://doi.org/10.1016/j.foreco.2021.118992

55.

Tonouewa J.F.M.F., Biaou S.S.H., Assede E.S.P., Langbour P., Balagueman O.R. Influence of growth parameters on wood density of Acacia auriculiformis. Maderas. Ciencia y Tecnología, 2022, v. 24, article 19. https://doi.org/10.4067/s0718-221x2022000100419

Tonouewa J.F.M.F., Biaou S.S.H., Assede E.S.P., Langbour P., Balagueman O.R. Influence of growth parameters on wood density of Acacia auriculiformis // Maderas. Ciencia y Tecnología, 2022, v. 24, article 19. https://doi.org/10.4067/s0718-221x2022000100419

56.

Yang H., Stereńczak K., Karaszewski Z., Carvalhais N. Similar importance of inter-tree and intra-tree variations in wood density observations in Central Europe. EGUsphere, 2024. https://doi.org/10.5194/egusphere-2023-2691

Yang H., Stereńczak K., Karaszewski Z., Carvalhais N. Similar importance of inter-tree and intra-tree variations in wood density observations in Central Europe // EGUsphere, 2024. https://doi.org/10.5194/egusphere-2023-2691

57.

Marden M., Lambie S., Burrows L. Species-specific basic stem-wood densities for twelve indigenous forest and shrubland species of known age, New Zealand. New Zealand J. of Forestry Science, 2021, v. 51, article 1. https://doi.org/10.33494/nzjfs512021x121x

Marden M., Lambie S., Burrows L. Species-specific basic stem-wood densities for twelve indigenous forest and shrubland species of known age, New Zealand // New Zealand J. of Forestry Science, 2021, v. 51, article 1. https://doi.org/10.33494/nzjfs512021x121x

58.

Magalhães T.M. Effects of site and tree size on wood density and bark properties of Lebombo ironwood (Androstachys johnsonii Prain). New Zealand J. of Forestry Science, 2021, v. 51, article 3. https://doi.org/10.33494/nzjfs512021x32x

Magalhães T.M. Effects of site and tree size on wood density and bark properties of Lebombo ironwood (Androstachys johnsonii Prain) // New Zealand J. of Forestry Science, 2021, v. 51, article 3. https://doi.org/10.33494/nzjfs512021x32x

59.

Kowaluk G., Szymanowski K., Kozlowski P., Kukula W., Sala C., Robles E., Czarniak P. Functional assessment of particleboards made of apple and plum orchard pruning // Waste and Biomass Valorization, 2020, v. 11, pp. 2877–2886. https://doi.org/10.1007/s12649-018-00568-8

60.

Yoshioka T. Current situation and future outlook of forest biomass production and its utilization in Japan. Biotechnological Applications of Biomass / Eds. T.P. Basso, T.O. Basso, L.C. Basso. London: IntechOpen, 2021, pp. 129–147. DOI: 10.5772/intechopen.93433

Yoshioka T. Current situation and future outlook of forest biomass production and its utilization in Japan // Biotechnological Applications of Biomass / Eds. T.P. Basso, T.O. Basso, L.C. Basso. London: IntechOpen, 2021, pp. 129–147. DOI: 10.5772/intechopen.93433

61.

Usoltsev V.A. Fitomassa model’nykh dereviev dlya distantsionnoy i nazemnoy taksatsii lesov Evrazii [Single-tree biomass data for remote sensing and ground measuring of Eurasian forests]. Yekaterinburg: Botanical Garden of Ural Branch of RAS, Ural State Forest Engineering University, 2023. https://elar.usfeu.ru/handle/123456789/12451

Усольцев В.А. Фитомасса модельных деревьев для дистанционной и наземной таксации лесов Евразии. Екатеринбург: Изд-во Ботанического сада УрО РАН; УГЛ-ТУ, 2023. https://elar.usfeu.ru/handle/123456789/12451

62.

Usoltsev V.A. Stem taper, density and dry matter content in biomass of trees growing in Central Eurasia. Yekaterinburg: Ural State Forest Engineering University, Botanical Garden of Ural Branch of RAS, 2020. https://elar.usfeu.ru/handle/123456789/9649

63.

Karaban A.A., Usoltsev V.A., Tretyakov S.V., Koptev S.V., Paramonov A.A., Tsvetkov I.V., Davydov A.V., Tsepordey I.S. Biomassa dereviev ol’khi seroy i ee allometricheskie modeli v usloviyakh Arkhangel’skoy oblasti [Biomass of gray alder trees and its allometric models in the conditions of the Arkhangelsk region]. Lesa Rossii i khozyaystvo v nikh [Forests of Russia and the economy in them], 2023, no. 2, pp. 42–50. DOI: 10.51318/FRET.2023.36.20.005

Карабан А.А., Усольцев В.А., Третьяков С.В., Коптев С.В., Парамонов А.А., Цветков И.В., Давыдов А.В., Цепордей И.С. Биомасса деревьев ольхи серой и ее аллометрические модели в условиях Архангельской области // Леса России и хозяйство в них, 2023, № 2. С. 42–50. DOI: 10.51318/FRET.2023.36.20.005.

64.

Usoltsev V.A., Shobairi O., Tsepordey I.S., Zukow W. Allometric models to predicate single-tree biomass in the Eurasian Larix spp. forest. Ecological Questions, 2021, v. 32, no. 1, pp. 29–36. http://dx.doi.org/10.12775/EQ.2021.003

Usoltsev V.A., Shobairi O., Tsepordey I.S., Zukow W. Allometric models to predicate single-tree biomass in the Eurasian Larix spp. forest // Ecological Questions, 2021, v. 32, no. 1, pp. 29–36. http://dx.doi.org/10.12775/EQ.2021.003