| 杉木种子涩籽地理流行类型区的划分与判别的研究 |
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| 引用本文： | 吴德瑜 郑仁华. 杉木种子涩籽地理流行类型区的划分与判别的研究[J]. 福建林业科技, 1993, 20(2): 37-44 |
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| 作者姓名： | 吴德瑜 郑仁华 |
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| 作者单位： | 福建省林业技工学校(吴德瑜)，福建省林业科学研究所(郑仁华) |
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| 摘 要： | 本文应用A.I.D方法和Bayes准则判别分析法研究福建省杉木种子涩籽地理流行规律,建立涩籽地理流行判别函数,将福建省69个杉木种子产地(县、市)划分成3个类型区:Ⅰ.杉木种子涩籽流行高发生区;Ⅱ.杉木种子涩籽流行中发生区;Ⅲ.杉木种子涩籽流行低发生区。绘制出福建省杉木种子涩籽地理流行图,旨在为杉木种子园的选址及合理布局提供科学依据。
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| 关 键 词： | 杉木 涩籽 地理流行 A.I.D方法 Bayes准则 |
A Study on the Division and Discrimination of Geographical Popular Type Areas of Cunninghamia lanceolata Undeveloped Seeds |
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| Wu Deyu,Zheng Renhua Forestry School for Technical Workers of Fujian Province, Fujian Research Institute of Forestry. A Study on the Division and Discrimination of Geographical Popular Type Areas of Cunninghamia lanceolata Undeveloped Seeds[J]. Journal of Fujian Forestry Science and Technology, 1993, 20(2): 37-44 |
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| Authors: | Wu Deyu Zheng Renhua Forestry School for Technical Workers of Fujian Province Fujian Research Institute of Forestry |
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| Affiliation: | Wu Deyu;Zheng Renhua Forestry School for Technical Workers of Fujian Province; Fujian Research Institute of Forestry |
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| Abstract: | In this article, applying A.I. D methods and discrimination analyticalmethods from Bayes norm, the geographical popular law of undeveloped seeds ofCunning hamia lanceolata in Fujian Province was studied, the discriminationfunctions for undeveloped seed geographical popularity were established and 69seed production places(counties or cities) of C. lanceolata in Fujian Provincewere divided into 3 type areas: (Ⅰ) the high occurrence area of C. lanceolata un-developed seed popularity, (Ⅱ)the medium occurrence area of C. lanceolata unde-veloped seed popularity, and (Ⅲ) the low occurrence area of C. lanceolata unde-veloped seed popularity, A map of the undeveloped seed geographical popularityof C. lanceotata in Fujian Province was drawn, aiming at providing scientific ba-sis for the address selection and rational distribution of C. lanceolata seed or-chards. |
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| Keywords: | Cunning hamia lanceolata undeveloped seeds geographical popularity A. I. D methods Bayes norm |
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