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林业资源管理 ›› 2017›› Issue (6): 41-46.doi: 10.13466/j.cnki.lyzygl.2017.06.008

• 科学研究 • 上一篇    下一篇

基于木材密度的34个树种组一元立木生物量模型建立

曾伟生()   

  1. 国家林业局调查规划设计院,北京 100714
  • 收稿日期:2017-10-16 修回日期:2017-11-22 出版日期:2017-12-28 发布日期:2020-09-28
  • 作者简介:曾伟生(1966-),男,湖南涟源人,教授级高工,博士,主要从事森林资源清查与监测工作。Email: zengweisheng0928@126.com

Developing One-variable Individual Tree Biomass Models Based on Wood Density for 34 Tree Species in China

ZENG Weisheng()   

  1. Academy of Forest Inventory and Planning,SFA,Beijing 100714,China
  • Received:2017-10-16 Revised:2017-11-22 Online:2017-12-28 Published:2020-09-28

摘要:

森林是陆地上最大的碳库,其固碳能力的评估必须以生物量模型作为计量基础。基于2012年研究提出的通用性生物量模型M=0.3pD 7/3,利用公开发表的各树种木材基本密度数据,建立了我国全部34个树种(组)的一元地上生物量模型,再利用全国森林生物量调查建模项目的实测数据,对其中14个树种(组)的地上生物量模型进行了验证;还分别针叶树和阔叶树2个树种组建立了相容性地下生物量模型和根茎比模型,并检验了其预估效果。结果表明:所建一元立木生物量模型对各个树种(组)地上生物量和地下生物量估计的相对误差绝对值平均数均未超过其相应的允许误差10%和15%,可用于宏观层面的森林生物量估计,是近年颁布实施的生物量模型系列行业标准的重要补充。

关键词: 地上生物量, 地下生物量, 木材密度, 根茎比

Abstract:

Forest is the largest carbon bank on land,and assessment of forest carbon sequestration must be based on biomass models.Based on the general biomass model M=0.3pD 7/3 presented in 2012,one variable individual tree aboveground biomass models for all 34 tree species or groups in China were established using the data of wood basic density of all tree species published;and based on the mensuration data of the National Biomass Modeling Program in Continuous Forest Inventory(NBMP-CFI),the aboveground biomass models of 14 tree species(groups)were validated.Additionally,compatible below ground biomass models and root-to-shoot ratio models for two species groups,coniferous and broadleaved,were developed and evaluated.The results showed that average absolute relative errors of above and below-ground biomass estimates from one-variable biomass models developed in this study were less than the allowances 10% and 15%,respectively.The developed biomass models here could be applied to estimate forest biomass on macro levels,and would be an important supplement to the ministerial standards on biomass models which were promulgated and implemented in the past years.

Key words: aboveground biomass, belowground biomass, wood density, root-to-shoot ratio

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