中国农业气象 ›› 2012, Vol. 33 ›› Issue (02): 310-314.doi: 10.3969/j.issn.1000-6362.2012.02.025

• 论文 • 上一篇    下一篇

气象条件对日本松干蚧越冬死亡率的影响

 袁福香, 刘实, 胡艳全, 张玉书, 张铁利   

  1. 1吉林省气象科学研究所,长春130062;2中国气象局沈阳大气环境研究所,沈阳110016;3辽宁省桓仁县森林病虫害防治检疫站,桓仁117200
  • 收稿日期:2011-09-06 出版日期:2012-05-20 发布日期:2012-08-30
  • 作者简介:袁福香(1969-),女,吉林桦甸人,硕士,高级工程师,主要从事农业气象、病虫害气象研究。 Email:yfx1998@sina.com
  • 基金资助:

    公益性行业(气象)科研专项“森林草原病虫害气象预报与灾损评估技术”(GYHY200906028);中国自然基金“气候变化对日本松干蚧扩散影响研究”(41175100)

Effect of Meteorological Condition on Overwintering Mortality Rate f  Matsucoccus Matsumurae

 YUAN  Fu-Xiang, LIU  Shi, HU  Yan-Quan, ZHANG  Yu-Shu, ZHANG  Tie-Li   

  1. 1 Institute of Meteorological Science in Jilin Province, Changchun 130062, China; 2Institute of Atmospheric Environment, CMA, Shenyang 110016; 3The Station of Forest Disease and Pest Control and Quarantine of Huanren in Liaoning Province, Huanren,117200
  • Received:2011-09-06 Online:2012-05-20 Published:2012-08-30

摘要: 日本松干蚧是危害松树的重要害虫,越冬期气象条件是影响种群变动的重要因子。利用判别法,选取对日本松干蚧越冬死亡率影响较大的气象因子,并分析这些因子对越冬死亡率的影响。结果表明,11月各旬平均最低气温、12月下旬平均最低气温、3月上旬平均最低气温越低,日本松干蚧越冬死亡率越高;4月上旬降水量越大,其死亡率越高。选择资料时间序列较长且与日本松干蚧越冬死亡率相关密切的气象因子,建立了日本松干蚧越冬死亡率预测模型,经检验,模型准确率72%左右,对于监测及防控日本松干蚧具有一定应用价值。

关键词: 日本松干蚧, 越冬期死亡率, 气象条件

Abstract: Matsucoccus matsumurae is the main pest endangered the pine. Meteorological condition of overwintering periods is the important factor of affecting population change. The effect of meteorological factors on  Matsucoccus matsumurae’mortality rate of overwintering was analyzed by using discriminate analysis, based on the selected meteorological factors. The results showed that  the lower the average lowest temperature of every ten ay period of November, the last tenday period of December and the first tenday period of March was, the higher mortality rate was. The more rainfall of the first tenday period of April was,the higher the mortality rate was. The prediction model of  Matsucoccus matsumurae’ mortality rate during overwintering was established by selecting meteorological factors, which has a direct bearing on  Matsucoccus matsumurae’ mortality rate and with longer statistic years, and the accuracy rate was 72%.The model could be used for preventing and controlling  Matsucoccus matsumurae.

Key words: Matsucoccus matsumurae, verwintering mortality rate, Meteorological condition

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