[1]陈晨,刘光武,陈涛,等. 伏牛山区栓皮栎天然次生林地位指数ANN模型构建[J].西北林学院学报,2019,34(1):206-210.[doi:10.3969/j.issn.1001-7461.2019.01.31]
　CHEN Chen,LIU Guang-wu,CHEN Tao,et al. Site Index Simulation for Quercus variabilis Natural Secondary Forest in Funiu Mountainous Area Based on ANN[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2019,34(1):206-210.[doi:10.3969/j.issn.1001-7461.2019.01.31]
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 伏牛山区栓皮栎天然次生林地位指数ANN模型构建()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第34卷
期数:
2019年第1期
页码:
206-210
栏目:
出版日期:
2019-01-31

文章信息/Info

Title:
 Site Index Simulation for Quercus variabilis Natural Secondary Forest in Funiu Mountainous Area Based on ANN
文章编号:
1001-7461(2019)01-0206-05
作者:
 陈晨1; 刘光武1; 陈涛1; 温仲清2*
 （1.河南林业职业学院，河南 洛阳 471002；2.西北农林科技大学 林学院，陕西 杨陵 712100）
Author(s):
 CHEN Chen1; LIU Guang-wu1; CHEN Tao1; WEN Zhong-qing2*
 (1.Henan Forestry Vocational College,Luoyang 471002,Henan,China; 2.College of Forestry,Northwest A&F University,Yangling 712100,Shaanxi,China)
关键词:
 ; 栓皮栎; 天然次生林; 地位指数; ANN
Keywords:
Quercus variabilis;  natural secondary forest;  site index;  ANN
分类号:
S792.18
DOI:
10.3969/j.issn.1001-7461.2019.01.31
文献标志码:
A
摘要:
 研究编制了伏牛山地区栓皮栎天然次生林地位指数表，以期为当地栓皮栎天然次生林后期的经营管理和保护工作奠定基础。根据伏牛山区调查的120块栓皮栎天然次生林标准地和180株平均优势木解析木数据，采用人工神经网络建模技术，建立了优势木平均高ANN模型，拟合精度为98.66%。基准年龄为40 a，依据平均优势高与地位指数的关系，编制了地位指数表。用未参加建模的60块标准地数据进行落点检验，检验精度达到96.67%。结果表明，ANN模型构建地位指数模型方法简单，所建模型精度高，应用推广能力强。
Abstract:
 The paper designed the site index table for Quercus variabilis natural secondary forest in the Funiu Mountainous area in order to lay the foundation for the later management and protection of the forest.According to the survey data of 120 sample plots and the analytical data of 180 average dominant trees,and based on artificial neural network (ANN) modeling technique,the ANN model of the dominant tree average height was established.The fitting precision of the model was 98.66%.The ANN growth model of the dominant tree average height was selected as oriented curve,and the age of these trees was about 40 years.The site index table was established depending on the relationship of the dominant tree average height and the site index.The test precision was 96.67% through test of falling point with the data from 60 sample plots which were not used to build the growth model.The results indicated that it was simple to establish the site index model of ANN,which had promising precision and better application potential.

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备注/Memo

备注/Memo:
 收稿日期：2018-03-27修回日期：2018-04-28
基金项目：河南省2017年科技攻关计划项目（172102110239）。
作者简介：陈晨，女，硕士，讲师，研究方向：森林资源与经营管理。E-mail：1005147274@qq.com
*通信作者：温仲清，男，工程师，研究方向：森林培育。E-mail:476886810@qq.com
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