机构地区:[1]北京林业大学国家林业和草原局森林经营工程技术研究中心,北京100083 [2]新疆农业大学林学与风景园林学院,乌鲁木齐830052 [3]吉林省林业科学研究院,长春130022
出 处:《林业科学》2023年第11期23-32,共10页Scientia Silvae Sinicae
基 金:国家自然科学基金项目(32201555)。
摘 要:【目的】分析东北地区10种主要造林树种幼龄期各组分生物量分配特征,建立并筛选单树种和全树种最优生长模型,为该地区森林生物量尤其是幼龄林生物量估算提供模型参考。【方法】在吉林省舒兰市生物多样性与生态系统功能控制试验样地内,2021年7―8月份选取长势良好的植株进行全株取样,每个树种选取15~21株个体,共计200株。测量根系、茎干、叶片各器官生物量及其分配比例,并计算地上部分以及整株生物量。以基径和树高为自变量,以根系、茎干、叶片各器官和地上部分及整株生物量为因变量,建立一元线性、多元线性、幂函数等形式的回归方程,构建单树种和全树种生物量模型,并通过决定系数、参数显著性以及赤池信息标准(AIC)等指标筛选最优模型。【结果】1)10个树种的生物量总体呈现出茎干生物量占比最高(45%)、根系生物量次之(35.5%)、叶片生物量最低(19.5%)的分配格局。随着基径增长,茎干生物量占比呈上升趋势,叶片生物量占比呈下降趋势,根系生物量占比变化不明显。2)10个树种的生物量最优模型均以幂函数形式为主,单树种生物量模型以Y=a(D^(2)H^(b)和Y=aD^(b)为最优形式;全树种生物量模型则以Y=a(D^(2)H^(b)和Y=aD^(b)H^(c)为最优模型形式(D为基径,H为树高,a,b,c分别为方程系数)。【结论】幂函数形式为生物量最优模型,其中单树种生物量模型具有更高拟合优度,适用于特定树种生物量的精确估算,而全树种生物量模型则对区域性的生物量估算具有更广泛的适用性。【Objective】The biomass distribution characteristics and the species-specific allometric equations of the major afforestation tree species in Northeast China were analyzed in this study,to provide model reference for the biomass estimation of forests in this area.【Method】This study was based on the biodiversity and ecosystem function experiment plantation in Shulan,Jilin Province.The well-growing trees in the forest plot were selected for whole-plant sampling from July to August 2021,and 15 to 21 individuals of each tree species were selected.The biomass of each tree’s roots,stems,and leaves were measured,respectively.Meanwhile,the aboveground(i.e.,leaves+stems)biomass and the total(i.e.,leaves+stems+roots)biomass were measured.The species-specific and all-tree species allometric models were established based on the dependent(i.e.,tree height and base diameter)and independent variables(i.e.,different organs,aboveground,and total biomass)using univariate linear,multivariate linear,and power functions.Coefficient of determination,parametric significance,and the Akaike Information Criterion(AIC)were employed to evaluate the models.【Result】1)The biomass distribution of the 10 tree species exhibited generally the highest proportion in stems(45%)followed by roots(35.5%),and the lowest proportion in leaves(19.5%).With the increase in base diameter,the proportion of stem biomass showed an upward trend,the proportion of leaf biomass showed a downward trend,while the proportion of root biomass did not change significantly.2)The biomass equations in the form of power functions were demonstrated to be the best-fit equations.Specifically,the form of Y=a(D^(2)H^(b) and Y=aD^(b) were selected as the optimal model for single-tree species,while the form of Y=a(D^(2)H^(b) and Y=aD^(b)H^(c) were selected as the optimal model all-tree species biomass models.【Conclusion】The models in the form of a power function were identified as the optimal models,equations based on single tree species have high accuracy for specie
关 键 词:生物量 异速生长方程 单树种生物量模型 全树种生物量模型
分 类 号:S154.5[农业科学—土壤学] Q958.15[农业科学—农业基础科学]
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