欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2018, Vol. 29 ›› Issue (2): 369-379.doi: 10.13287/j.1001-9332.201802.040

• 长白山论坛专栏 • 上一篇    下一篇

不同区域典型树木的空间分布格局及关联性

闫海冰, 马慧晶, 冯帆, 梁楠, 史婵, 杨秀清, 韩有志*   

  1. 山西农业大学林学院, 山西太谷 030801
  • 收稿日期:2017-10-16 出版日期:2018-02-18 发布日期:2018-02-18
  • 通讯作者: E-mail: hanyouzhi@sxau.edu.cn
  • 作者简介:闫海冰, 男, 1978年生, 博士研究生. 主要从事森林资源培育与森林生态学研究. E-mail: yhb5188@126.com
  • 基金资助:

    本文由国家自然科学基金项目(31470631, 31670630)资助

Spatial distribution patterns and associations of typical tree species in different regions.

YAN Hai-bing, MA Hui-jing, FENG Fan, LIANG Nan, SHI Chan, YANG Xiu-qing, HAN You-zhi*   

  1. College of Forestry, Shanxi Agricultural University, Taigu 030801, Shanxi, China
  • Received:2017-10-16 Online:2018-02-18 Published:2018-02-18
  • Contact: E-mail: hanyouzhi@sxau.edu.cn
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (31470631, 31670630).

摘要: 以温带长白山(CBS)、暖温带关帝山(GDS)、亚热带黑石顶(HSD)样地监测数据为基础,采用成对相关函数g(r)分析了3个样地共有的3科(松科、壳斗科、蔷薇科)树木的空间分布格局及其关联性.结果表明:不同样地3科树木分布数量及结构特征存在差异.松科在GDS分布数量较多,呈双峰型径级结构,在CBS和HSD分布数量少,径级结构近似正态分布;壳斗科在CBS和GDS分布数量少,分别呈双峰型和偏正态径级结构,在HSD分布数量多,呈倒“J”型径级分布;蔷薇科在GDS分布数量多,呈“L”型径级分布,在CBS和HSD分布相对较少,径级结构分别呈倒“J”型和“L”型分布.3科树木空间分布格局在不同样地表现也不同,松科的大径级个体在CBS和GDS小尺度上呈均匀分布,在HSD呈聚集分布,中、小径级在3个样地均呈聚集分布;壳斗科在CBS以大径级个体为主,呈近似随机分布,在GDS和HSD以中、小径级为主,呈聚集性分布格局;蔷薇科在3个样地均为聚集分布.3科树木的聚集程度均随尺度增加而降低.大径级的壳斗科个体在CBS和HSD与松科呈不相关或小尺度负相关关系,中、小径级的壳斗科在CBS和GDS与松科呈负相关关系,但在HSD与松科表现为正相关;松科与蔷薇科在3个样地均表现为负相关;中、小径级的壳斗科与蔷薇科在CBS和GDS呈正相关关系,但在HSD呈负相关关系.总之,3科树木空间分布格局及关联性随径级、尺度而变化且在不同样地内有不同表现.

Abstract: Based on the monitoring data from the plots of Changbai Mountains in the temperate zone (CBS), Guandi Mountain in the warm temperate zone (GDS), Heishiding Mountain in the subtropical zone (HSD), we analyzed the spatial distribution of tree species from three families (Pinaceae, Fagaceae, Rosaceae) and their correlation using paired correlation function g(r). The results showed that the individual number and size class structural characteristics of the trees from the three families varied among different regions. Pinaceae had high population density and a bimodal size-class structure in GDS plot but a small number and skewed normal size-class structure in CBS and HSD plots. Fagaceae had low abundance and a bimodal, skewed normal size-class structure respectively in CBS and GDS plots but a large number and an inverted J-type diameter distribution in HSD plot. Rosaceae had high abundance and a L-type size structure in GDS plot but relatively low abundance and a L-inverted and J-type size class distribution respectively in HSD and CBS plots. The trees from those three families showed different spatial distribution patterns in three different forest plots. The large size class individuals of Pinaceae were regularly distributed at small scale in CBS and GDS plots but aggregated in HSD plot, the middle and small size class ones were consis-tently aggregated in three plots. Fagaceae trees were mainly characterized by large size class and approximately distributed at random in CBS plot, but mainly characterized by middle or small size class and aggregated in GDS and HSD plots. The trees of Rosaceae were aggregated in three plots. The aggregation degree of trees from three families decreased with the increases of spatial scales. The large size class individuals of Fagaceae were negatively associated at small scale or uncorrelated with Pinaceae trees in CBS and HSD plots. The middle or small size class individuals of Fagaceae were negatively associated with Pinaceae ones in CBS and GDS plots but positively associated with Pinaceae ones in HSD plot. Trees from Pinaceae were negatively correlated with trees from Rosaceae in three plots. The middle or small size class individuals of Fagaceae were positively correlated with individuals of Rosaceae in CBS and GDS plots but negatively correlated with trees of Rosaceae in HSD plot. In conclusion, the spatial distribution patterns and associations of the trees from three families changed with the size class, research scale and had different patterns among three plots.