Merganič Ján, Pichler Viliam, Gömöryová Erika, Fleischer Peter, Homolák Marián, Merganičová Katarína
Faculty of Forestry, Technical University in Zvolen, T. G. Masaryka, 96001 Zvolen, Slovakia.
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 6-Suchdol, 16500 Praha, Czech Republic.
Plants (Basel). 2021 Dec 10;10(12):2722. doi: 10.3390/plants10122722.
(1) Background: Boreal forests influence global carbon balance and fulfil multiple ecosystem services. Their vegetation growth and biomass are significantly affected by environmental conditions. In the present study we focused on one of the least accessible and least studied parts of the boreal region situated in the western part of Putorana plateau, Central Siberia (Lama and Keta lakes, Krasnoyarsk region), northern Russia. (2) Methods: We derived local height-diameter and crown radius-height models for six tree species. We used univariate correlation and multiple regression analyses to examine the relationships between tree biomass and environmental conditions. (3) Results: Total tree biomass stock (aboveground tree biomass + aboveground and buried deadwood) varied between 6.47 t/ha and 149 t/ha, while total deadwood biomass fluctuated from 0.06 to 21.45 t/ha. At Lama, biomass production decreased with elevation. At Keta, the relationship of biomass to elevation followed a U shape. Stand biomass changed with micro-terrain morphology and soil nutrient content, while the patterns were location-specific. (4) Conclusions: The majority of the derived models were significant and explained most of the variability in the relationships between tree diameter or crown radius and tree height. Micro-site environmental conditions had a substantial effect on tree biomass in the studied locations.
(1) 背景：北方森林影响全球碳平衡并提供多种生态系统服务。其植被生长和生物量受环境条件显著影响。在本研究中，我们聚焦于俄罗斯北部中西伯利亚普托拉纳高原西部（克拉斯诺亚尔斯克地区的拉马湖和凯塔湖）这一北方地区中最难以进入且研究最少的部分之一。(2) 方法：我们推导了六种树木的局部树高 - 直径和树冠半径 - 树高模型。我们使用单变量相关性分析和多元回归分析来检验树木生物量与环境条件之间的关系。(3) 结果：树木总生物量存量（地上树木生物量 + 地上和埋藏的枯木）在6.47吨/公顷至149吨/公顷之间变化，而总枯木生物量在0.06至21.45吨/公顷之间波动。在拉马湖，生物量产量随海拔升高而降低。在凯塔湖，生物量与海拔的关系呈U形。林分生物量随微地形形态和土壤养分含量而变化，且模式具有地点特异性。(4) 结论：大多数推导模型具有显著性，并解释了树木直径或树冠半径与树高之间关系的大部分变异性。微生境环境条件对研究地点的树木生物量有重大影响。
