[1]曾慧卿,刘琪璟,马泽清,等.基于冠幅及植株高度的檵木生物量回归模型[J].南京林业大学学报(自然科学版),2006,30(04):101-104.[doi:10.3969/j.jssn.1000-2006.2006.04.024]
 ZENG Hui-qing,LIU Qi-jing,MA Ze-qing,et al.The Regression Model of Loropetalum chinense Biomass Based on Canopy Diameter and Plant Height[J].Journal of Nanjing Forestry University(Natural Science Edition),2006,30(04):101-104.[doi:10.3969/j.jssn.1000-2006.2006.04.024]
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基于冠幅及植株高度的檵木生物量回归模型
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
30
期数:
2006年04期
页码:
101-104
栏目:
研究论文
出版日期:
2006-04-20

文章信息/Info

Title:
The Regression Model of Loropetalum chinense Biomass Based on Canopy Diameter and Plant Height
文章编号:
1000-2006(2006)04-0101-04
作者:
曾慧卿123刘琪璟2马泽清2曾珍英3
1. 中国科学院生态环境研究中心, 北京 100085; 2. 中国科学院地理科学与资源研究所, 北京 100101; 3. 南昌大学环境科学与工程学院, 江西 南昌 330029
Author(s):
ZENG Hui-qing123 LIU Qi-jing2 MA Ze-qing2 ZENG Zhen-ying3
1. Research Center for Eco-Environmental Sciences CAS, Beiiing 100085, China; 2. Institute of Geographic Sciences and Natural Resources Research CAS, Beijing 100101, China; 3. Environmental Science and Engineering College of Nanchang University, Nanchang 330029, China
关键词:
檵木 灌木 生物量 回归模型
Keywords:
Loropetalum chinense Shrub Biomass Regression model
分类号:
S718; Q948.2
DOI:
10.3969/j.jssn.1000-2006.2006.04.024
文献标志码:
A
摘要:
<正>生态城市建设是实现城市经济社会可持续发展的重要目标,研究生态城市建设经济效益评价对城市的规划发展具有重大的指导意义。笔者分析了生态城市的内涵及国内外生态城市建设的现状。从构建生态城市的评价指标体系着手,提出了对生态城市的投入成本与产出效益进行动态评价和敏感性分析的思路。为生态城市建设及选择优先的投资领域和最佳方案提供一定的科学依据。
Abstract:
Shrub biomass is an important part of forest biomass. Quantification of shrub biomass is important to understand the fixation, depletion, distribution, accumulation and translation of materials and energy in the whole forest ecosystem. Total harvesting is generally impractical or inappropriate in forest studies. So allometric methods have been developed to estimate biomass form nondestructive surrogate measurements such as canopy diameter and plant height. The objective of this paper is to find a simple, convenient and accurate method to estimate Loropetalum chinense biomass since L. chinense is one of common shrub species in subtropical forest in China. Statistics methods were used to choose the best models with canopy diameter (C) and plant height (H) as variables. The results showed the relationship coefficient between biomass and CH (canopy diameter multiply plant height) variable is the biggest and W=ha (CH) b1 is the best model for estimating biomass. The best estimate models for branch biomass, leaves biomass and upper biomass are W1=0.000796 (CH) 1.1878, W2=0.0114 (CH) 0.7581, W3=0.0024 (CH) 1.0973 respectively. Compared with the models with D2H (basal diameter square multiply plant height), the power curve models with CH as variable have the same estimation precision. With the convenience in real forest investigation, the models with CH as variable are better than the ones with D2H as variable. The high precision of the model with CH as variable indicated that L. chinense has columniform morphology approximately. The results should be validated whether they fit trees from a particular stand.

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[1]周 华,孟盛旺,刘琪璟.亚热带常绿阔叶林幼树与灌木的地上生物量模型[J].南京林业大学学报(自然科学版),2017,41(06):079.[doi:10.3969/j.issn.1000-2006.201612051]
 ZHOU Hua,MENG Shengwang,LIU Qijing*.Allometric equations for estimating aboveground biomass of broad-leavedforests saplings and shrubs in subtropical China[J].Journal of Nanjing Forestry University(Natural Science Edition),2017,41(04):079.[doi:10.3969/j.issn.1000-2006.201612051]

更新日期/Last Update: 2013-05-20