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作 者:朱雅丽 张景路 张绘芳 高健 地力夏提·包尔汉 Zhu Yali;Zhang Jinglu;Zhang Huifang;Gao Jian;Dilixiati·Baoerhan(Research Institute of Modern Forestry,Xinjiang Academy of Forestry,Urumqi 830092,China)
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830092
出 处:《中国野生植物资源》2024年第1期100-106,共7页Chinese Wild Plant Resources
基 金:新疆维吾尔自治区青年科学基金项目(2022D01B175)。
摘 要:目的:建立新疆云杉蓄积及地上生物量模型,为在林分尺度上估算云杉碳储量及生产力提供基础数据。方法:利用收获法采集西伯利亚云杉(Picea obovata)与雪岭云杉(Picea schrenkiana)各50株,以蓄积为自变量,地上生物量为因变量,采用4种生物量模型进行回归分析构建模型,综合模型评价、参数估计值的稳定性及相对误差筛选出最优生物量模型。结果:确定W=0.515V0.926(R2=0.980)为西伯利亚云杉估测模型,W=0.541V0.953(R2=0.954)为雪岭云杉估测模型。结论:新疆云杉蓄积和地上生物量极显著相关,4种估测模型以幂函数拟合效果最优。Objective:Models for calculating tree accumulation and aboveground biomass of natural spruce in Xinjiang was established to provide basic data for estimating carbon storage and productivity of spruce.Methods:Fifty plants each of Picea obovata and Picea schrenkiana in Xinjiang were collected by the harvest method.With accumulation as independent variable and aboveground biomass as dependent variable,four biomass models were employed for regression analysis to build models,and the optimal biomass model was screened out by comprehensive model evaluation,stability of parameter estimation,and relative error.Results:W=0.515V0.926(R2=0.980)was the P.obovata estimation model,and W=0.541V0.953(R2=0.954)was the P.schrenkiana estimation model.Conclusion:Xinjiang spruce accumulation and aboveground biomass were highly significantly correlated,and the four estimation models were best fitted by power function.
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