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昆嵛山腮扁叶蜂发生与赤松纯林林分因子的关系

胡瑞瑞1,梁军1,2*,谢宪1,黄咏槐1,3,苑晓雯2,王俊2,张英军2,张星耀1,2   

  1. 1中国林业科学研究院森林生态环境与保护研究所 国家林业局森林保护学重点实验室, 北京 100091;2昆嵛山森林生态系统定位研究站, 山东烟台 264100;3广东省林业科学研究院, 广东广州 510520)
  • 出版日期:2019-05-10 发布日期:2019-05-10

Relationship between Cephalcia kunyushanica occurrence and stand factors of Pinus densiflora pure forests.

HU Rui-rui1, LIANG Jun1,2*, XIE Xian1, HUANG Yong-huai1,3, YUAN Xiao-wen2, WANG Jun2, ZHANG Ying-jun2, ZHANG Xing-yao1,2   

  1. (1Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Protection of State Forestry Administration, Beijing 100091, China; 2Kunyushan Forest Ecosystem Research Station, Yantai 264100, Shandong, China; 3Guangdong Academy of Forestry, Guangzhou 510520, China).
  • Online:2019-05-10 Published:2019-05-10

摘要: 为了解林分因子与昆嵛山腮扁叶蜂发生的关系,为昆嵛山赤松纯林的营林措施和昆嵛山腮扁叶蜂的防控技术提供理论指导,本研究在昆嵛山区域选取林龄相对一致(34±2 a)的赤松纯林为对象,调查林分密度、郁闭度、草本盖度、树高、枝下高、胸径、冠幅7个林分因子以及昆嵛山腮扁叶蜂虫巢数。依据虫情指数的分布范围,将样地分为4组,通过方差分析和多重比较研究了4组样地中各项林分因子的差异性。采用逐步回归法,筛选出影响昆嵛山腮扁叶蜂虫情指数的关键因子,在此基础上通过偏相关分析和单因素方差分析法进一步阐明关键因子与虫情指数之间的关系。结果表明,7个林分因子在4组样地中均存在极显著的组间差异。逐步回归筛选出冠幅、枝下高和林分密度为影响昆嵛山腮扁叶蜂发生的关键因子,根据关键因子建立了虫情指数的线性预测方程。冠幅和枝下高对昆嵛山腮扁叶蜂虫情指数的影响均达到极显著正相关水平(P<0.01),林分密度对昆嵛山腮扁叶蜂虫情指数的影响为极显著负相关(P<0.01)。影响虫情指数的关键因子可能会因林分的不同而不一致,因此要根据关键因子调整林分结构,以达到控制虫害流行的目的。

关键词: 棉花, 花铃期, 干旱和渍水, 棉铃, 碳水化合物, 生物量累积

Abstract: To understand the relationship between stand factors of Pinus densiflora pure forest and Cephalcia kunyushanica occurrence, and thus to provide theoretical guidance for P. densiflora pure forest management as well as the prevention and control of C. kunyushanica, we investigated seven stand indices of stand density, canopy cover, herb coverage, tree height, height under branch, diameter at breast height (DBH) and crown size as well as the nest number of C. kunyushanica in P. densiflora pure forests with relatively consistent stand age (34±2 years old) in the Kunyushan Mountains. The plots were divided into four groups according to the distribution range of the pest severity index (PSI). The differences of stand factors in four groups were examined by means of variance analysis and multiple comparison. Stepwise regression was used to select key factors affecting C. kunyushanica. The relationship between the critical stand factors and the PSI was further clarified by partial correlation analysis and oneway ANOVA. The results showed that all the seven stand factors were significantly different among the four groups. Crown size, height under branch and stand density were the key factors affecting the PSI among the seven factors following results from stepwise regression. Then, the prediction equation of pest severity index was established. The effects of crown size and height under branch on PSI were significant and positive (P<0.01), while stand density had a negative effect (P<0.01). However, the key factors affecting the insect pest index may be inconsistent in different forests. Forest structure should be adjusted according to the critical factors to achieve the goal of controlling the epidemic of insect pests.

Key words: cotton, flowering and bolling stage, drought and waterlogging, boll, carbohydrate, biomass accumulation.