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林业科学 ›› 2011, Vol. 47 ›› Issue (1): 1-5.doi: 10.11707/j.1001-7488. 20110101

• 论文 •    下一篇

基于最小尺度的浙江省毛竹生物量精确估算

周国模1, 刘恩斌1, 施拥军1, 刘安兴2, 周宇峰1   

  1. 1. 浙江农林大学环境科技学院 临安 311300;2. 浙江省森林资源监测中心 杭州310020
  • 收稿日期:2010-08-08 修回日期:2010-09-19 出版日期:2011-01-25 发布日期:2011-01-25

Accurate Estimation for Moso Bamboo (Phyllostachys edulis) Biomass in Zhejiang Province Based on the Lowest Scale Technique

Zhou Guomo1, Liu Enbin1, Shi Yongjun1, Liu Anxing2, Zhou Yufeng1   

  1. 1. School of Environment Sciences,Zhejiang A & F Universitry Lin’an 311300;2. Monitoring Center for Forest Resources,Zhejiang Province Hangzhou 310020
  • Received:2010-08-08 Revised:2010-09-19 Online:2011-01-25 Published:2011-01-25

摘要:

以浙江省为例,提出基于最小尺度的区域生物量估算新方法,包含3方面内容:1) 利用二元Weibull生存函数推导二元Weibull分布函数,并用二元Weibull分布函数估算浙江省各径阶、各龄级毛竹的总株数; 2) 利用已有毛竹胸径、年龄二元单株生物量模型f(D,A),计算各径阶、各龄级毛竹的生物量; 3) 利用公式MT= m ∑ #em/em#=5 n j=1 kijf(Di,Aj)实现区域尺度生物量的精确估算。用该方法估算得浙江省毛竹总生物量为1.471 6×1010 kg。

关键词: 毛竹, 二元Weibull分布函数, 区域尺度生物量估算, 浙江省

Abstract:

Based on the lowest scale technique, a new method was proposed to accurately estimate Moso bamboo biomass on a regional scale(Zhejiang Province). This method is composed of three steps: 1) A bivariate Weibull distribution function was derived from the bivariate Weibull survival function, and the probability distribution functions of age and diameter classes were developed using the bivariate Weibull distribution function. Then, the total number of moso bamboo culms in terms of each age and diameter class were estimated. 2) The moso bamboo biomasses of each age and diameter class were calculated using existing moso bamboo biomass model . 3) Lastly, moso bamboo biomass (on a regional scale) was able to be accurately estimated using the formula MT= m ∑ #em/em#=5 n j=1 kijf(Di,Aj). The estimated results showed that the total moso bamboo biomass in Zhejiang Province was 1.471 6×1010 kg.

Key words: moso bamboo ( Phyllostachys edulis ), bivariate Weibull distribution function, regional scale biomass estimation, Zhejiang Province

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