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生态学杂志 ›› 2005, Vol. ›› Issue (3): 339-342.

• 测定与方法 • 上一篇    下一篇

单季晚稻褐飞虱发生程度的气候诊断

李军1, 蒋耀培2, 杨秋珍1, 王志雄2   

  1. 1. 上海市气象科学研究所, 上海, 200030;
    2. 上海市农业技术推广服务中心, 上海, 201103
  • 收稿日期:2003-11-12 修回日期:2004-05-10 出版日期:2005-03-10
  • 通讯作者: 李军,男,1963年生,高级工程师,主要从事于农业气象和气象生态环境研究,发表论文30余篇.
  • 基金资助:
    上海市科技兴农重点攻关资助项目(农科攻字99-6-2)

Climatic diagnosis of brown planthopper occurrence degree in single late rice

LI Jun1, JIANG Yaopei2, YANG Qiuzhen1, WANG Zhixiong 2   

  1. 1. Shanghai Meteorological Institute, Shanghai 200030, China;
    2. Shanghai Agro-Technique Extension Service Center, Shanghai 201103, China
  • Received:2003-11-12 Revised:2004-05-10 Online:2005-03-10

摘要: 应用数理统计方法,分析了上海地区单季晚稻褐飞虱发生程度、始见期与气候生态因子的关系.结果表明,上海地区单季晚稻褐飞虱始见期与当年月16~30日的降水日数、上年10月份500hPa 110°~150°E平均副热带高压脊线位置间的相关系数分别为-0.6307、0.871.单季晚稻褐飞虱的发生程度与当年1月1日~2月10日平均最低气温的相关系数为-0.5218,与当年7月份降水量的相关系数为0.5203,与上年12月份500 hPa 110°~150°E内平均副热带高压脊线位置的相关系数为-0.537.当El Nino发生强度强且发生时间在春季,则当年上海地区单季晚稻褐飞虱发生程度为重;当El Nino发生强度在中等以上且发生时间在秋季,则次年上海地区单季晚稻褐飞虱发生程度为重.La Nina事件与上海地区单季晚稻褐飞虱发生程度的关系不明显.

Abstract: By mathematic statistics,the paper analyzed the relations between the occurrence degree,early dates of brown planthopper and climatic-biological factors in single late rice in Shanghai.The results showed that the occurrence of early dates significantly correlated with rainfall days from April 16 to 30 and average ridge position of sub-tropical high-pressure on 500 hPa layer from 110? to 150癊 of the last October,and their coefficients were -0 6307 and 0.4781,respectively.The occurrence degree related to mean minimum temperature from January 1 to February 10 and rainfall amount in July,and their coefficients were -0.5218 and 0.5203,respectively; while the coefficient for average ridge position of sub-tropical high-pressure on 500 hPa layer from 110? to 150癊 of last December was -0.5374.When El Nino appears strong in spring,brown planthopper occurrence in Shanghai single late rice will be serious during that exact year.When El Nino appears medium or plus in autumn,the occurrence situation will be serious during the following year.The analysis also showed that La Nina had no obvious relations with the occurrence degree.

Key words: Photosynthetic bacteria(PSB), Most probable number(MPN), Bacteria counting, Application effect

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