湖南林业科技2024,Vol.51Issue(5) :1-6,32.DOI:10.3969/j.issn.1003-5710.2024.05.001

湖南本土碳汇树种观光木地上生物量模型研究

The research of upground biomass model of Hunan local carbon storage rare tree species Tsoongiodendron odorum

姜宇泽 周岚 黄雅奇 李巧云 陈婵 刘艳 王玲 廖菊阳 易心钰
湖南林业科技2024,Vol.51Issue(5) :1-6,32.DOI:10.3969/j.issn.1003-5710.2024.05.001

湖南本土碳汇树种观光木地上生物量模型研究

The research of upground biomass model of Hunan local carbon storage rare tree species Tsoongiodendron odorum

姜宇泽 1周岚 2黄雅奇 1李巧云 1陈婵 1刘艳 1王玲 1廖菊阳 1易心钰1
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作者信息

  • 1. 湖南省植物园,湖南长沙 410116;湖南长株潭城市群森林生态系统国家定位观测研究站,湖南长沙 410116
  • 2. 湖南省植物园,湖南长沙 410116
  • 折叠

摘要

以生长因子、树干鲜质量、树木枝鲜质量、叶鲜质量等相关测树因子为自变量,建立湖南省本土珍稀树种观光木各生物量组分及地上部分生物量模型,旨在为筛选湖南省本土碳汇树种、探索其生物量及碳储量变化规律提供理论和实践依据.本研究基于5个径阶15株伐倒木的叶、茎、枝生物量数据,对胸径、树高、冠幅、树冠体积进行测算,运用多种函数和不同自变量建立生物量模型,筛选出拟合效果最优及相关性最高的模型作为最佳生物量估算模型.结果显示:干、枝及地上部分最优生物量模型为以地径D和株高h为自变量二元幂函数[干和地上部分:W=a+b(D2h);枝:W=a(D2h)b],模型拟合判断系数R2相对较高,具有较好的拟合精度和预估水平.

Abstract

Taking the related tree measurement factors was independent variables,such as growth factors,fresh weight of tree trunks,fresh weight of tree branches and leaves,to provide theoretical and practical basis for screening local carbon sink tree species and exploring their biomass and carbon storage variation rules by establishing models for various biomass components and upground biomass of Hunan local rare tree species Tsoongiodendron odorum.Based on biomass data of leaves,stems,and branches from 15 felled trees in five different diameter classes,breast diameter,tree height,crown width,and crown volume were calculated,and multiple functions and independent variables were used to establish biomass models.The best biomass estimation model was selected based on the optimal fitting effect and highest correlation coefficient.The best biomass model for stem and upground:W=a+b(D2h);branches:W=a(D2h)b.The models had relatively high determination coefficient R2,indicating good fitting accuracy and prediction level.

关键词

观光木/生长特性/生物量模型

Key words

Tsoongiodendron odorum/tree growth/biomass model

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出版年

2024
湖南林业科技
湖南省林学会,湖南省林业科学院,湖南省林业厅科技信息中心

湖南林业科技

影响因子:0.572
ISSN:1003-5710
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