• 研究报告 •

### 昆嵛山腮扁叶蜂发生与赤松纯林林分因子的关系

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

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.