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薇甘菊对内伶仃岛植被危害的相关分析

周先叶1;王伯荪2;李鸣光2;廖文波2;周云龙1;昝启杰3;王勇军3   

  1. 1华南师范大学生命科学学院, 广州 510631;2中山大学生命科学学院, 广州 510275;3广东内伶仃福田国家级自然保护区管理局, 深圳 518040

  • 收稿日期:2004-03-10 修回日期:2004-07-05 出版日期:2005-02-18

Correlation analysis on the damage of Mikania micrantha to plant communities in Neilingdind Island of Guandong Province,China

ZHOU Xianye1,WANG Bosun2,LI Mingguang2,LIAO Wenbo2,ZHOU Yunlong1, ZAN Qijie3,WANG Yongjun3   

  1. 1Collage of Life Science,South China Normal University,Guangzhou 510631, China;2School of Life Science,Zhongshan University,Guangzhou 510275, China;3Neilingding-Futian National Nature Reserve of Guangdong,Shenzhen 518040,China

  • Received:2004-03-10 Revised:2004-07-05 Online:2005-02-18

摘要: 对广东内伶仃岛群落受薇甘菊危害的植物种类分析表明,58种乔木、小乔木和灌木种不同程度地受薇甘菊的影响,约占样地中木本种类的67%;其中受薇甘菊影响最大的主要是小乔木和阳生性灌木.薇甘菊危害与群落类型的关系表现为,由5、6个优势种组成的结构复杂的具有较大郁蔽度的群落受薇甘菊的危害轻微,而仅由2个优势种组成结构简单且郁蔽度很小的群落受薇甘菊的危害较严重.薇甘菊危害与群落结构的相关分析表明,群落垂直高度越大、片层越丰富,群落中薇甘菊的盖度越小;群落物种越丰富,群落密度越大,个体受害比例越小;群落中其他藤本盖度越大,个体受薇甘菊危害的程度越高.

关键词: 斜纹夜蛾, 幼虫龄期, 核型多角体病毒, 疾病流行学, 病死时间分布, 互补重对数模型

Abstract: The analysis showed that 58 species of trees,short-trees and shrubs in Neilingding Island of Guangdong Province were damaged byM.micrantha,of which,woody trees accounted for 67%.Short-trees and sunny shrubs were damaged most seriously,followed by the communities with low canopy density consisted of only 2 dominant species,and those with high canopy density consisted of 5 or 6 dominant species.The coverage of M.micrantha mainly related to the vertical structure of plant communities.The taller the community height and the more the synusia,the lesser was the coverage of M.micrantha.The damaging ratio mainly related to species diversity and community density.The higher the species diversity and community density, the lower the damaging ratio was.The damaging degree mainly related to the coverage of other liana.The more the coverage of other liana,the higher was the damaging degree of M.micrantha.

Key words: Spodoptera litura, Larval instar, Nuclear polydedrosis virus, Disease epizootic, Distribution of disease time, Complementary log log model