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应用生态学报 ›› 2002, Vol. ›› Issue (8): 993-996.

• 研究论文 • 上一篇    下一篇

苹果园二斑叶螨种群的空间格局

刘长仲1,2, 王刚1, 王万雄1, 周淑荣1   

  1. 1. 兰州大学干旱农业生态国家重点实验室, 兰州 730000;
    2. 甘肃农业大学植物保护系, 兰州 730070
  • 收稿日期:2002-04-07 修回日期:2002-05-09 出版日期:2002-08-15
  • 通讯作者: 刘长仲,男,1962年生,硕士,教授.主要从事昆虫生态及农业昆虫学研究,已发表论文40余篇.E-mail:liuchzh@public.lz.gs.cn
  • 基金资助:
    国家重点基础研究发展规划资助项目(G2000018602)

Spatial pattern of Tetranychus urticae population in apple tree garden

LIU Changzhong1,2, WANG Gang1, WANG Wanxiong1, ZHOU Shurong 1   

  1. 1. State Key Laboratory of Arid Agroecology, Lanzhou University, Lanzhou 730000;
    2. Department of Plant Protection, Gansu Agricultural University, Lanzhou 730070
  • Received:2002-04-07 Revised:2002-05-09 Online:2002-08-15

摘要: 种群空间格局的研究是昆虫生态学的重要内容,它不仅揭示出种群的空间结构特征,而且还是确定抽样技术和资料代换的基础.二斑叶螨是苹果园的重要害螨,应用4种聚集度指标和Iwao法分别考查了该螨在苹果树内的空间格局及动态规律.结果表明,二斑叶螨在树内不同方向和高度上均以个体群的形式存在,个体群的分布为聚集分布.其中上层和南面树冠的聚集度最高,而下层和内部树冠的聚集度最低.造成这种差异与该螨的生物学特性和环境条件的异质性有关.不论螨体在上层、中层或下层树冠,都明显地表现出前期高聚块,6月中旬以后聚集强度逐渐降低的趋势.

关键词: 二斑叶螨, 空间格局, 时序动态

Abstract: Spatial pattern of insect population is an important aspect of insect ecology. It reveals the spatial structure characteristics of populations, and provides a basis for relevant sampling techniques and data transformation. Tetranychus urticae Koch is a serious pest of apple tree.Its spatial pattern and time series dynamics were analyzed by calculating four indices of aggregation, and parameters of Iwao model. The results showed that the spatial pattern of T. urticae in apple tree garden belonged to an aggregated distribution pattern. The aggregation intensity was the highest in upper and southern part of crown, and the lowest in its lower and inner part.The aggregation was due to the biological habits of T. urticae and environmental heterogeneity.No matter T. urticae was in the upper, middle, or lower crown of apple tree, its aggregation intensity was higher before first ten days of June,and then gradually decreased after the middle ten days of June.

Key words: Tetranychus urticae, Spatial pattern, Time series dynamics

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