南京林业大学学报(自然科学版) ›› 2009, Vol. 33 ›› Issue (06): 63-.doi: 10.3969/j.jssn.1000-2006.2009.06.015

• 研究论文 • 上一篇    下一篇

昆嵛山腮扁叶蜂幼虫空间自相关研究

林琳1,3,于善栋2,张英军2,张星耀3,梁军3*   

  1. 1.西南林学院资源学院,云南昆明650224;2.昆嵛山林场,山东烟台264113; 3.中国林业科学研究院森林生态环境与保护研究所,北京100091
  • 出版日期:2009-12-18 发布日期:2009-12-18
  • 基金资助:
    收稿日期:2009-03-17修回日期:2009-05-20基金项目:国家“十一五”科技支撑计划(2006BAD08A120104);国家林业局昆嵛山森林生态定位研究站项目作者简介:林琳(1982—),硕士生。*梁军(通讯作者),研究员,研究方向为有害生物生态控制。Email: liangjun@forestry.ac.ca。引文格式:林琳,于善栋,张英军,等. 昆嵛山腮扁叶蜂幼虫空间自相关研究[J]. 南京林业大学学报:自然科学版,2009,33(6):63-68.

Study on larval spatial autocorrelation of Cephalcia kunyushanica Xiao

LIN Lin1,3, YU Shandong2, ZHANG Yingjun2, ZHANG Xingyao3, LIANG Jun3*   

  1. 1.College of Resources, Southwest Forestry University, Kunming 650224, China; 2.Kunyushan Forest Farms, Yantai 264113, China; 3.Research Institute of Forest Ecology, Environment and Protection, CAF, Beijing 100091, China
  • Online:2009-12-18 Published:2009-12-18

摘要: 运用全局Moran’s Ⅰ和局部Moran’s Ⅰ方法对昆嵛山腮扁叶蜂幼虫空间分布的自相关性进行了研究。结果表明:昆嵛山腮扁叶蜂幼虫在样地的分布具有一定的空间自相关性,但未达到显著的程度,没有形成特定的空间分布格局;局部空间自相关分析结果显示也没有局部空间聚集现象。由于样地环境比较单一,因此只考虑昆嵛山腮扁叶蜂易感林木的空间自相关对昆嵛山腮扁叶蜂空间自相关的影响。用相关性分析昆嵛山腮扁叶蜂全局Moran’s Ⅰ值和易感林木全局Moran’s Ⅰ值的相关性可知,昆嵛山腮扁叶蜂全局空间自相关性受易感林木全局空间自相关性显著影响。

Abstract: The article is to study autocorrelation of spatial distribution of Cephalcia kunyushanica Xiao by using the method of global Moran’s Ⅰ and Local Moran’s Ⅰ analysis. Results showed that distribution of C.kunyushanica Xiao had the spatial autocorrelation at a certain degree but don’t take on the significant positive correlation so don’t have a specific distribution pattern. Meanwhile, significant local spatial autocorrelation of C.kunyushanica Xiao don’t also occurred.We only consider that spatial autocorrelation of C.kunyushanica Xiao is influenced by spatial autocorrelation of C.kunyushanica Xiao’s susceptible trees or not as environment is very simplex in specimen field.To study relationship between index of global Moran’s Ⅰ of C.kunyushanica Xiao and index of susceptible trees’s by using method of correlate analysis. The result show that autocorrelation of spatial distribution of C.kunyushanica Xiao is evidently effected by spatial autocorrelation of C.kunyushanica Xiao’s susceptible trees. Spatial autocorrelation analysis can be used to research spatial autocorrelafion of C.kunyushanica Xiao, and it is a good way to find out the spatial distribution at different stages.

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