学术
中国南方松树枯梢病地域分布的气候分区
廖太林[1,2] 叶建仁[1]
[1]南京林业大学森林资源与环境学院,江苏南京210037 [2]江苏昆山出入境检验检疫局,江苏昆山215301
摘 要:
通过对福建、江西和江苏等省17个县（市）的松树枯梢病的危害程度及发病特点调查，把松树枯梢病的发生区域归纳为：轻（无）度病害区、中度病害区和重度病害区三大类。感病程度与气象因子的相关分析表明，4、5月份的月平均湿度、月降水量和月降水天数，以及年平均湿度与病害发生关系较为密切。以上述气象因子为自变量，发病程度为因变量，建立了病害的回归预测模型：y=98．60＋13．54x1-9．33x2-3．62x3＋0．07x4＋0．07x5-11．97x6＋3．26x7（R=0．9333）。利用该模型对我国南方主要县（市）的病害进行了预测和划分，并提出了该病害的综合治理措施。[著者文摘]
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文章出处:
《林业科学研究》-2006年19卷5期 -643-646页
分 类 号:
文献标识码:
A
文章编号:
1001-1498（2006）05-0643-04
Climatological Zonation of Incidence of Sphaeropsis sapinea Distribution in South China
LIAO Tai-lin, YE Jian-ren（ 1. College of Forest Resources and Environment of Nanjing Forestry University, Nanjing 210037 ,Jiangsu, China;2. Kunshan Exit-Entry Inspection and Quarantine Bureau of Jiangsu, Kunshan 215301, Jiangsu, China）
Abstract:
The pine shoot blight （Sphaeropsis sapinea） in epidemic zones were divided into 3 types on the basis of investigation into disease damage and characteristics of 17 counties （cities） in the south of China which were light （no） epidemic zone, moderate epidemic zone and heavy epidemic zone. The correlation analysis between disease index of S. sapinea and meteorological factors in the south of China showed that the disease index correlated significantly with the following factors ： annual mean humidity, humidity, rainfall and rainfall days of April and May. According to meteorological factors, a regression equation was established as follows： Y = 98.60 ＋ 13.54x1 -9.33x2 - 3.26x3 ＋ 0. 07x4 ＋ 0. 07x5 - 11.97x6 ＋ 3.26x7 （R = 0.933 3 ）. In this formula, Y represents the forest disease index and x1 - x7 represent meteorological factors. Incidence of S. sapinea in 9 provinces of the south of China was forecasted, according to the model. The effective disease integrated control measures were put forward according to the epidemic regional distributes of S. sapinea.[著者文摘]
Key words:
pine shoot blight; Sphaeropsis sapinea ; regional distribution; climatological zonation
基金资助:
国家科技“九五”攻关项目“中国南方松树枯梢病综合防治技术”（编号：96-05-04-04）
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