首页 | 本学科首页   官方微博 | 高级检索  
     检索      

天然林分生长模型在小班数据更新中的应用
引用本文:杜纪山,唐守正,王洪良.天然林分生长模型在小班数据更新中的应用[J].林业科学,2000,36(3):52-58.
作者姓名:杜纪山  唐守正  王洪良
作者单位:1. 中国林业科学研究院资源信息研究所,北京,100091
2. 吉林省林业调查规划设计院,延吉,133000
基金项目:国家科学技术部项目! ( 96 0 15 0 1 0 3 5 ),中国林科院基金项目! ( 9790 113 )
摘    要:当小班调查得到各组成树种的平均高,平均直径以及小班的年龄,每公顷株数,郁闭度,散生木蓄积等因子后,应用天然林分生长模型可以实现无人为干预小班数据的全面更新和连续预测。这些模型应用于小班数据更新时的特点是分别组成树种,以地位级指数评价立地质量,以预估间隔期代替年龄,更适用于天然混交异龄林小班数据的更新。通过吉林省汪清林业局108块复位样地的验证,表明天然林分生长模型的预估结果优于目前生产单位所用的生

关 键 词:天然林分  生长模型  小班数据更新
修稿时间:1999-01-15

APPLICATION OF NATURAL STAND GROWTH MODELS IN SUBCOMPARTMENT DATA UPDATE
Du Jishan,Tang Shouzheng,Wang Hongliang.APPLICATION OF NATURAL STAND GROWTH MODELS IN SUBCOMPARTMENT DATA UPDATE[J].Scientia Silvae Sinicae,2000,36(3):52-58.
Authors:Du Jishan  Tang Shouzheng  Wang Hongliang
Abstract:Given the stand factors of subcompartment, such as mean height and mean diameter of various tree species composed stand, age, number of stems per hectare, crown density, volume of open grown tree, the forest resource data of subcompartment without human disturbance could be updated completely and predicted continually by using natural stand growth models. These models were of taking composing tree species as updating basis, with site class index representing site quality of a subcompartment, with prediction interval substituting age, and more suitable for updating the data in the natural mixed\|species and uneven\|aged subcompartment. Based on 108 permanent plots from Wangqing Forest Bureau in Jilin Province, the test results showed that the predictions by using the natural stand growth models were better than those by using growth rate in production units at present.
Keywords:Narural stand  Growth model  Subcompartment  Update
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号