[1]牛永红,孙帅超,黄宏超,等. 秦岭林区红桦天然林直径分布建模与差异分析[J].西北林学院学报,2023,38(6):153-161.[doi:10.3969/j.issn.1001-7461.2023.06.21]
　NIU Yong-hong,SUN Shuai-chao,HUANG Hong-chao,et al. Modeling and Analyzing Diameter Distribution for Betula albosinensis Natural Forests in the Qinling Mountains[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2023,38(6):153-161.[doi:10.3969/j.issn.1001-7461.2023.06.21]
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 秦岭林区红桦天然林直径分布建模与差异分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第38卷
期数:
2023年第6期
页码:
153-161
栏目:
出版日期:
2023-11-30

文章信息/Info

Title:
 Modeling and Analyzing Diameter Distribution for Betula albosinensis Natural Forests in the Qinling Mountains
文章编号:
1001-7461(2023)06-0153-09
作者:
 牛永红1; 2; 孙帅超3; 黄宏超4; 陈书军1; 曹田健1; 2*
 （1.西北农林科技大学 林学院，陕西 杨陵 712100；2.生态仿真优化实验室，陕西 杨陵 712100；3.福建农林大学 林学院，福建 福州 350002；4.中国林业科学研究院资源信息研究所 国家林业和草原局森林经营与生长模拟重点实验室，北京 100091）
Author(s):
 NIU Yong-hong1; 2; SUN Shuai-chao3; HUANG Hong-chao4; CHEN Shu-jun1; CAO Tian-jian1; 2*
 (1.College of Forestry,Northwest A&F University,Yangling 712100,Shaanxi,China; 2.Simulation Optimization Laboratory,Yangling 712100,Shaanxi,China; 3.College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China; 4.Research Institute of Forest Resources Information Techniques,CAF Key Laboratory of Forest Management and Growth Modeling,National Forestry and Grassland Administration,Beijing 100091,China)
关键词:
 ; 红桦; 次生林; 直径结构; Weibull分布; 参数回收法
Keywords:
Betula albosinensis;  secondary forest;  diameter structure;  Weibull distribution;  parameter recovery
分类号:
S792.15
DOI:
10.3969/j.issn.1001-7461.2023.06.21
文献标志码:
A
摘要:
 林分直径分布是研究林分结构的基础。根据秦岭火地塘、旬阳坝、黄柏塬3个林区181块红桦天然次生林样地数据，采用三参数Weibull概率密度函数构建秦岭红桦天然次生林直径分布模型，并对矩估计法和混合估计法2种参数预估方法，以及极大似然估计法(MLE)、累积分布函数法(CDF)和修正的累积分布函数法(MCDF)3种模型拟合方法进行比较评价。在此基础上，进一步探究影响红桦天然林直径分布差异的主要因素。结果表明，混合估计法在预测模型参数上优于矩估计法，CDF拟合的直径分布模型精度表现优于MLE和MCDF。平均直径和林分密度对秦岭林区红桦直径分布影响显著。平均直径越大，林分密度越小的红桦林分直径结构越接近正态分布，呈倒钟形；平均直径越小，林分密度越大的红桦林分直径结构呈右偏或倒J形分布。研究结果证明了秦岭林区红桦天然林采用混合估计法预测参数并结合CDF进行拟合的直径分布模型估计效果最好。
Abstract:
 Diameter distribution is a basis for studying stand structure.Based the data collected from 181 sample plots of Betula albosinensis secondary natural forests that were set in three forest regions (Huoditang,Xunyangba,and Huangbaiyuan) in the Qinling Mountains,the diameter distribution models were established by adopting Weibull probability density function.The key influencing factors were analyzed.Both moment and hybrid estimation approaches were used to predict the Weibull parameters.Then the coefficients of the regression equations for predicting Weibull parameters or moments were estimated by using maximum likelihood estimation (MLE),cumulative distribution function (CDF),and modified CDFR approach (MCDF).The results indicated that the hybrid estimation was better than the moment estimation approach,and the CDF method was superior to the MLE and MCDF methods.Besides,both mean diameter and stand density had a great influence on diameter distribution.The combination of hybrid estimation and CDF is recommended for predicting the diameter distribution of B.albosinensis in the Qinling Mountains.

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备注/Memo

备注/Memo:
 收稿日期：2022-10-18修回日期：2022-12-03
基金项目：国家林业和草原局西北调查规划院科技创新项目(XBY-KJCX-2021-29)；国家自然科学基金面上项目( 31670646)。
第一作者：牛永红。研究方向：森林生长收获。E-mail：anglos@nwafu.edu.cn
*通信作者：曹田健，博士，教授。研究方向：森林生长仿真预测和森林经营规划优化。E-mail：cao@nwafu.edu.cn
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