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樟子松枯梢病的测报技术
引用本文:赵恒义,潘淑英,曹德伟,梁湘虎. 樟子松枯梢病的测报技术[J]. 林业科技, 2002, 27(3): 23-25
作者姓名:赵恒义  潘淑英  曹德伟  梁湘虎
作者单位:1. 黑龙江省双鸭山林业局,双鸭山 155100
2. 黑龙江省大庆市林业局,大庆 163311
3. 黑龙江省迎春林业局,虎林 158403
摘    要:通过孢子捕捉和病情调查,摸清了樟子松枯梢病流行规律与气象生态因子的关系。根据樟子松枯梢病流行规律,利用前一年6,7,8月的气象因子,采用逐步回归方法筛选出6月平均温度(X1)和平均降雨量(X7)作为测报因子,并建立多元线性回归测报模型:Y=-124.702 8.6215X1 0.183X7,经过模型内外的病情测报检验和实际应用,证明该测报模型是可信的。

关 键 词:樟子松  枯梢病  预测预报
文章编号:1001-9499(2002)03-0023-03
修稿时间:2002-03-02

Study on the Forecast Technique for Dieback of Pinus syivestris var. mongolica
ZHAO Hengyi. Study on the Forecast Technique for Dieback of Pinus syivestris var. mongolica[J]. Forestry Science & Technology, 2002, 27(3): 23-25
Authors:ZHAO Hengyi
Abstract:Through fixed observation at Maoersan forest, the number of sources, growth condition of Pinus syivestris var. mongolica and disease investigation in fixed sample plotsshowed that the relationship between the epidemic law of the diaback of Pinus syivestris var.mongolica (Diplodia pinea.) and the weather factors. We adopt weather factors of average temperature, average rainfall to establish the linear regression equiation. The model is used to predict the disease index of the year afer next. Through paractical examination, the model is proved to be reliable.
Keywords:Pinus syivestris var. mongolica  Dieback  Forecast
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