Age Dynamics of Gray Alder Biomass in the Stands of the Arkhangelsk Region
DOI:
https://doi.org/10.37482/0536-1036-2024-2-65-75Keywords:
gray alder, table of growth progress of the stands, table of biological productivity, tree biomass, stand biomass, biomass fraction, allometric model, the Arkhangelsk RegionAbstract
The assessment of forest productivity in forestry and forest ecology has a long tradition, but in recent decades there has been a paradigm shift: the target function of forestry, consisting in wood cultivation, has shifted towards the biosphere-stabilizing function and the assessment of biomass and carbon sequestration capacity of forests. Equations and tables for assessing biomass at the stand level have an advantage as they can be used to characterize both the biomass of individual stands and their totality, as well as (when combined with the state forest inventory data) the situations in the forests throughout the country. The complexity
of the work on assessing biomass of trees and stands has prompted researchers to use the existing tables of growth progress when compiling the tables of biological productivity of the stands using the recursive method. For the conditions of the northern and middle taiga of the Arkhangelsk Region, there are no tables of growth progress for gray alder biomass. The aim of this research is to study the growth progress of gray alder biomass in the stands of the Arkhangelsk Region. A series of sample plots has been laid to assess the above-ground biomass of the trees of this species. Based on the actual data from 50 model trees from 30 sample plots, the allometric models of the dependence of biomass fractions on the stem volume have been developed. The obtained models have been combined with the tables of growth progress for gray alder by quality class and the table of biological productivity of the species for the conditions of the Arkhangelsk Region has been drawn up. The results have been compared with the data on the biological productivity of gray alder in Belarus, Lithuania and Latvia. It has been shown that the biomass of the mature stands of gray alder of the 1st and 2nd quality classes in the Arkhangelsk Region is 3–9 % less than in Belarus and Lithuania. For the stands of the third and fourth classes, this difference increases to 29–48 %. Such differences in the biomasses of the compared regions can be explained by different zonal site conditions.
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Гусев И.И. Моделирование экосистем. Архангельск: АГТУ, 2002. 112 c. Gusev I.I. Ecosystem Modeling. Arkhangelsk, ASTU Publ., 2002. 112 p. (In Russ.).
Иванов А.В., Усольцев В.А., Цепордей И.С., Касаткин А.С. Сравнительный анализ биомассы кедровых и дубовых древостоев Приморья в контексте биоразнообразия // Хвойные бореал. зоны. 2023. Т. 41, № 1. С. 38–45. Ivanov A.V., Usoltsev V.A., Tsepordey I.S., Kasatkin A.S. Comparative Analysis of Pinus koraiensis S. ex Z. and Quercus mongolica F. ex L. Stand Biomass on Primorye in the Context of Biodiversity. Khvoinye boreal’noi zony = Conifers of the Boreal Area, 2023, vol. 41, no. 1, pp. 38–45. https://doi.org/10.53374/1993-0135-2023-1-38-45
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 хоз-во в них. 2023. № 2. С. 42–50. Karaban A.A., Usoltsev V.A., Tretyakov S.V., Koptev S.V., Paramonov A.A., Tsvetkov I.V., Davydov A.V., Tsepordey I.S. Biomass of Gray Alder Trees and its Allometric Models in the Conditions of the Arkhangelsk Region. Lesa Rossii i khozyajstvo v nikh = Forests of Russia and Economy in Them, 2023, no. 2, pp. 42–50. (In Russ.). http://doi.org/10.51318/FRET.2023.36.20.005
Лебедев А.В., Кузьмичев В.В. Таксационные показатели сосновых древостоев по данным долговременных наблюдений // Сиб. лесн. журн. 2023. № 2. С. 3–16. Lebedev A.V., Kuzmichev V.V. Forest Survey Parameters of Pine Tree Stands according to Long-Term Observation Data. Sibirskiy lesnoy zhurnal = Siberian Journal of Forest Science, 2023, no. 2, pp. 3–16. (In Russ.).
Парамонов А.А., Усольцев В.А., Третьяков С.В., Коптев С.В., Карабан А.А., Цветков И.В., Давыдов А.В., Цепордей И.С. Таблица хода роста по фитомассе ивняков Архангельской области // Сиб. лесн. журн. 2023. № 2. С. 33–39. Paramonov A.A., Usoltsev V.A., Tretyakov S.V., Koptev S.V., Karaban A.A., Tsvetkov I.V., Davydov A.V., Tsepordey I.S. Yield Table of Willow Stands’ Phytomass of Arkhangelsk Oblast. Sibirskiy lesnoy zhurnal = Siberian Journal of Forest Science, 2023, no. 2, pp. 33–39. (In Russ.).
Третьяков С.В., Коптев С.В., Карабан А.А., Парамонов А.А., Давыдов А.В. Возрастная динамика нормальных древостоев ольхи серой в таежной зоне северо-востока европейской части России // Изв. вузов. Лесн. журн. 2023. № 6. С. 70–80. Tretyakov S.V., Koptev S.V., Karaban A.A., Paramonov A.A., Davydov A.V. Age Dynamics of Normal Gray Alder Stands in the Taiga Zone of the North-East of the European Part of Russia. Lesnoy zhurnal = Russian Forestry Journal, 2023, no. 6, pp. 70–80. (In Russ.). https://doi.org/10.37482/0536-1036-2023-6-70-80
Усольцев В.А. Фитомасса лесов Северной Евразии: нормативы и элементы географии. Екатеринбург: УрО РАН, 2002. 762 с. Usoltsev V.A. Forest Biomass of Northern Eurasia: Mensuration Standards and Geography. Yekaterinburg, Ural Branch of Russian Academy of Sciences, 2002. 762 р. (In Russ.).
Усольцев В.А. Биологическая продуктивность лесов Северной Евразии: методы, база данных и ее приложения. Екатеринбург: УрО РАН, 2007. 636 с. Usoltsev V.A. Biological Productivity of Northern Eurasia’s Forests: Methods, Datasets, Applications. Yekaterinburg, Ural Branch of Russian Academy of Sciences, 2007. 636 p. (In Russ.).
Уткин А.И., Замолодчиков Д.Г., Пряжников А.А. Методы определения депонирования углерода фитомассы и нетто-продуктивности лесов (на примере Республики Беларусь) // Лесоведение. 2003. № 1. С. 48–57. Utkin A.I., Zamolodchikov D.G., Pryazhnikov A.A. Methods for Determation of Carbon Accumulation in Phytomass and Net Productivity of Forests (by the Example of Stands in Republic of Belarus). Lesovedenie = Russian Journal of Forest Science, 2003, no. 1, pp. 48–57. (In Russ.).
Швиденко А.З., Щепащенко Д.Г. Углеродный бюджет лесов России // Сиб. лесн. журн. 2014. № 1. С. 69–92. Shvidenko A.Z., Schepaschenko D.G. Carbon Budget of Russian Forests. Sibirskiy lesnoy zhurnal = Siberian Journal of Forest Science, 2014, no. 1, pp. 69–92. (In Russ.).
Щепащенко Д.Г., Швиденко А.З., Пергер К., Дресел К., Фриц Ш., Лакида П.И., Мухортова Л.В., Усольцев В.А., Бобкова К.С., Осипов А.Ф., Мартыненко О.В., Карминов В.Н., Онтиков П.В., Щепащенко М.В., Кракснер Ф. Изучение фитомассы лесов: текущее состояние и перспективы // Сиб. лесн. журн. 2017. № 4. С. 3–11. Schepashchenko D.G., Shvidenko A.Z., Perger K., Dresel C., Fritz S., Lakyda P.I., Mukhortova L.V., Usoltsev V.A., Bobkova K.S., Osipov A.F., Martynenko O.V., Karminov V.N., Ontikov P.V., Shchepashchenko M.V., Kraxner F. Forest Biomass Observation: Current State and Prospective. Sibirskiy lesnoy zhurnal = Siberian Journal of Forest Science, 2017, no. 4, pp. 3–11. (In Russ.).
Albrektson A. Relations between Tree Biomass Fractions and Conventional Silvicultural Measurements. Ecological Bulletins, 1980, no. 32, pp. 315–327.
González-García M., Hevia A., Majada J., Calvo de Anta R., Barrio-Anta M. Dynamic Growth and Yield Model Including Environmental Factors for Eucalyptus nitens (Deane & Maiden) Maiden Short Rotation Woody Crops in Northwest Spain. New Forests, 2015, vol. 46, pp. 387–407. http://doi.org/10.1007/s11056-015-9467-7
Nicoulaud-Gouin V., Gonze M.-A., Hurtevent P., Calmon P. Bayesian Inference of Biomass Growth Characteristics for Sugi (C. japonica) and Hinoki (C. obtusa) Forests in Self-Thinned and Managed Stands. Forest Ecosystems, 2021, vol. 8, art. no. 75. http://doi.org/10.1186/s40663-021-00354-4
Parresol B.R. Assessing Tree and Stand Biomass: a Review with Examples and Critical Comparisons. Forest Science, 1999, vol. 45, iss. 4, pp. 573–593. https://doi.org/10.1093/forestscience/45.4.573
Pretzsch H. Forest Dynamics Growth and Yield: From Measurement to Model. Heidelberg, Springer Berlin, 2009. 664 p. http://doi.org/10.1007/978-3-540-88307-4
Sah J.P., Ross M.S., Koptur S., Snyder J.R. Estimating Aboveground Biomass of Broadleaved Woody Plants in the Understory of Florida Keys Pine Forests. Forest Ecology and Management, 2004, vol. 203, iss. 1–3, pp. 319–329. http://doi.org/10.1016/j.foreco.2004.07.059
Usoltsev V.A., Vanclay J.K. Stand Biomass Dynamics of Pine Plantations and Natural Forests on Dry Steppe in Kazakhstan. Scandinavian Journal of Forest Research, 1995, vol. 10, iss. 1–4, pp. 305–312. http://doi.org/10.1080/02827589509382897
Usoltsev V.A., Shobairi S.O.R., Chasovskikh V.P. Triple Harmonization of Transcontinental Allometric of Picea spp. and Abies spp. Forest Stand Biomass. Ecology, Environment and Conservation, 2018, vol. 24, no. 4, pp. 1966–1972.
Usoltsev V.A., Shobairi S.O.R., Chasovskikh V.P. Additive Allometric Model of Quercus spp. Stand Biomass for Eurasia. Ecological Questions, 2020, vol. 31, no. 2, pp. 39–46. http://doi.org/10.12775/EQ.2020.012
Usoltsev V.А., Shobairi S.O.R., Ahrari A., Zhang M., Chasovskikh V.P. Prediction of Allometric Models of Stand Biomass of Betula sp. in Eurasia. Indian Journal of Ecology, 2020, vol. 47, iss. 2, pp. 517–522.
