应用生态学报2025，Vol.36Issue(12)：3729-3738,10.DOI:10.13287/j.1001-9332.202512.003
基于似乎不相关回归的帽儿山阔叶混交林6种林下幼苗幼树生物量模型构建
Development of biomass models for six understory seedling and sapling species in broad-leaved mixed for-ests of Maoershan Mountain,Northeast China utilizing seemingly unrelated regression
摘要
Abstract
Seedlings and saplings are vital elements of understory vegetation,the accurate biomass estimation of which is important for quantifying carbon storage within forest ecosystems.With data of 620 seedlings and saplings individuals from six species-Acer mono,Populus davidiana,Ulmus laciniata,Fraxinus mandschurica,Quercus mongolica,and Syringa amurensis-across 101 broadleaf mixed forest plots in Maoershan Mountain,we developed power-function biomass models utilizing basal diameter,plant height,and crown area as independent variables and identify the optimal models as the base models.We further assessed the error structure of each base model through likelihood analysis,and established a biomass equation system for the six species using seemingly unrelated regres-sion(SUR).The results showed that the univariate model utilizing only basal diameter was the most effective for F.mandschurica.For S.amurensis,the ternary model that encompassed basal diameter,plant height,and crown area was superior.For the other species,the binary biomass models that included basal diameter and plant height yielded the best results.The adjusted coefficients of determination(Ra2)varied from 0.716 to 0.990,while the root mean square errors(RMSE)ranged from 0.060 to 6.403,with all model parameters showing significance.The error structure for both component and total biomass across the species was found to be multiplicative(ΔAICc＞2).Con-sequently,linear biomass models following logarithmic transformation were employed to develop the SUR biomass models for the six species.These models had high Ra2 values(0.713-0.987)and low RMSE values(0.062-7.408),suggesting they were appropriate for accurately estimating the biomass of seedlings and saplings in the un-derstory.关键词
幼苗幼树/误差结构/似乎不相关回归/生物量Key words
seedling and sapling/error structure/seemingly unrelated regression/biomass引用本文复制引用
陈雅丽,苗铮,郝元朔,董利虎..基于似乎不相关回归的帽儿山阔叶混交林6种林下幼苗幼树生物量模型构建[J].应用生态学报,2025,36(12):3729-3738,10.基金项目
本文由"十四五"国家重点研发计划项目(2022YFD2201001)和黑龙江省自然科学基金项目(优秀青年项目)(YQ2022C005)资助. （2022YFD2201001）
