机构地区:[1]新疆林业科学院现代林业研究所,新疆乌鲁木齐830000
出 处:《西北林学院学报》2017年第5期33-38,共6页Journal of Northwest Forestry University
基 金:新疆林业厅新疆林业数表构建项目(新林计字【2014】835号)
摘 要:为了解新疆山区森林的主要阔叶树种疣枝桦与欧洲山杨各组织器官生物量分配的规律及准确预估其生物量,研究基于整株收获实测数据采用统计回归的方法分析了2树种生物量分配格局和估测模型。结果表明:整体上2树种地上生物量比例分别为76.52%、75.42%,平均根冠比分别为0.307和0.341,在不同林龄不同径阶各器官生物量分配疣枝桦和欧洲山杨均表现为树干比例最高,树叶最低,在幼龄林和胸径0~20cm树根大于树枝,但在中龄林和胸径20cm以上疣枝桦表现为两者接近而山杨表现为树枝大于树根;运用最小二乘法和根茎比方法建立了2树种地上和地下各器官生物量估测的单因子胸径模型和胸径、树高双因子结合模型,结果显示疣枝桦地上部分和树干生物量预估精度显著提高,尤其树干生物量胸径树高的双因子模型比胸径单因子模型预估精度提高了11.3%,但树冠、树枝和树叶生物量各评价指标改进效果不大,而欧洲山杨树干、树冠和树枝生物量评价指标改进显著,精度提高2%~4%,树叶生物量估测反而降低,地上总生物量估测精度几乎没变,2树种地下生物量模型估测精度分别是81.35%%和83.87%。2树种不同器官生物量分配均表现为树干>树根>树枝>树叶,随着林龄和径阶的变化各器官生物量比例的变化趋势一致;优选出2树种各器官最优生物量模型,预估精度均在80%以上,可以满足日常生产需求。To understand the rules of biomass distribution proportions in different parts of Betula pendula and Populus tremula ,the two main broad-leaved trees occurring in mountainous areas of Xinjiang, and to accurately estimate their biomass,whole trees were cut off to measure relatitve data,which were then sub- ject to statistical regression analysis to obtain biomass distribution pattern and estimation model. The re- sults showed aboveground biomass proportions of B. pendula and P. tremula were 76.52% and 76.52%, respectively,the average root-shoot ratios were 0. 307 and 0. 341, respectively. The biomass proportions in different parts of the two species with different ages and diameter levels were the highest for tree trunk, and the lowest for tree leaf. The biomass proportions of roots were higher than those of tree branches in young forests and those with diameter at breast height (DBH) of 0--20 cm. However,in middle-aged for- ests and those with DBH of above 20 cm,the biomass proportions of roots were similar with branch for B. pendula and the proportions of the branch were higher than roots for P. tremula. Single factor (DBH) model and two-factor (DBH and H) models that were established by the least square method and the root ratio method for the estimation of above-ground biomass and underground biomass indicated that the pre- diction precisions of the Betula aboveground biomass and trunk biomass were improved significantly,espe- cially the precision of two-factor model was 11.3% higher than single-factor model. However for the esti- mation of other biomass such as crown,branch,and leaf,no differences were found between the two models for B. pendula. For P. tremula, the estimation precisions for trunk, crown, and branch were significantly improved, about 2 % to 4 % improvement. The precision for leaf biomass estimation decreased, the total biomass estimation accuracy was almost unchanged, the estimation precisions of the models for the under- ground biomass of two species of were 81.35% and 83.87%, re
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