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应用数量化理论Ⅰ研究飞播造林成效
引用本文:庄晨辉,潘润荣,沈俊强.应用数量化理论Ⅰ研究飞播造林成效[J].福建林学院学报,1992(1).
作者姓名:庄晨辉  潘润荣  沈俊强
作者单位:福建省林业勘察设计院 (庄晨辉,潘润荣),福建省林业勘察设计院(沈俊强)
摘    要:收集宁德地区5个县(市)16个飞播造林播区729个样地的资料,采用数量化理论Ⅰ的方法进行马尾松飞播造林成效和苗高生长的研究,设8个项目,每一项目划分2~4个类目,应用ACRO-386微机求解参数,得预测方程。经计算复相关系数及F检验、方差比、项目得分范围、偏相关系数及t检验,预测方程的回报精度表明线性回归关系极端显著,回报精度高,所建立的预测方程有实际意义;影响飞播造林成效和苗高生长的主要立地因子为植被盖度(以0.3~0.7为好)、海拔高(以250~800m为好)、坡向(以半阳坡、半阴坡为好)。

关 键 词:数量化理论Ⅰ  飞播造林林成效

Applying the Theory of Quantification I to Reaeh the Aerial Seeding Effect
Zhuang Chenhui,Pan Runrong,Shen Junqiang.Applying the Theory of Quantification I to Reaeh the Aerial Seeding Effect[J].Journal of Fujian College of Forestry,1992(1).
Authors:Zhuang Chenhui  Pan Runrong  Shen Junqiang
Institution:Fvjian Forestry Prospect and Design Institute
Abstract:After collecting the 729 sample areas information from the 16 aerial seeding areas of 5 counties (cities) in Ningde prefecture, and applying the theory of quantification I to reach the effect of the masson pine aerial seeding and growth of seeding , We set 8 items , in which 2 or 4 categories for one item and use ACRD-386 microprocessor to find the solution of the parameter and get prediction equation. Then we calculate then correlation coefficient (with its F examination ) , variance ratio , range , biascorrelation coefficient ( with its t examination ) the precision of the estimation of the prediction eguation to express the relation of the linear regression is notable , the precision of the estimation is high and the prediction aquation has a practical significance . The main site factors which affect the aerial seeding and the growth of seeding are vegetation coverage (0.3-0.7 is better) ,elevacion (250-800m is better), slope direction (half positive or half negative slope is better).
Keywords:Theory of quantification I  aerial seeding effect  
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