中国野生植物资源2024,Vol.43Issue(1) :100-106.DOI:10.3969/j.issn.1006-9690.2024.01.013

新疆云杉蓄积与地上生物量模型拟合分析

Fitting Analysis of Spruce Accumulation and Aboveground Biomass Model in Xinjiang

朱雅丽 张景路 张绘芳 高健 地力夏提·包尔汉
中国野生植物资源2024,Vol.43Issue(1) :100-106.DOI:10.3969/j.issn.1006-9690.2024.01.013

新疆云杉蓄积与地上生物量模型拟合分析

Fitting Analysis of Spruce Accumulation and Aboveground Biomass Model in Xinjiang

朱雅丽 1张景路 1张绘芳 1高健 1地力夏提·包尔汉1
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作者信息

  • 1. 新疆林业科学院 现代林业研究所,新疆 乌鲁木齐 830092
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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.

Abstract

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 collect-ed by the harvest method.With accumulation as independent variable and aboveground biomass as de-pendent 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 es-timation,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.

关键词

西伯利亚云杉/雪岭云杉/蓄积量/地上生物量/模型

Key words

Picea obovata/Picea schrenkiana/Accumulation/Aboveground biomass/Model

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基金项目

新疆维吾尔自治区青年科学基金项目(2022D01B175)

出版年

2024
中国野生植物资源
中华全国供销合作总社南京野生植物综合利用研究院

中国野生植物资源

CSCD
影响因子:0.667
ISSN:1006-9690
参考文献量17
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