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林业科学 ›› 2008, Vol. 44 ›› Issue (8): 1-8.doi: 10.11707/j.1001-7488.20080801

• 论文 •    下一篇

长白山次生林树种空间分布及环境解释*

张春雨1 赵秀海1 夏富才1.2   

  1. (1.北京林业大学省部共建森林培育与保护教育部重点实验室 北京100083; 2.北华大学林学院 吉林132013)
  • 收稿日期:2007-07-04 修回日期:1900-01-01 出版日期:2008-08-25 发布日期:2008-08-25
  • 通讯作者: 赵秀海

Spatial Distribution of Tree Species and Environmental Interpretations of Secondary Forest in Changbai Mountains

Zhang Chunyu1,Zhao Xiuhai1,Xia Fucai 1.2   

  1. (1.The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University Beijing 100083;2.Forestry College of Beihua University Jilin 132013)
  • Received:2007-07-04 Revised:1900-01-01 Online:2008-08-25 Published:2008-08-25

摘要:

分析次生林群落中12个树种的空间格局,阐述树木种群空间分布与环境因子间的关系。结果表明:1)大多数环境因子和树种都表现出显著的正空间自相关,即存在空间聚集性结构;2)空间变异分割表明,环境因子主要制约幼树和小树的空间分布,而对大树影响较小;3)土壤水分和土壤pH值对树种分布影响较大,土壤营养(全氮、全磷和全钾)作用相对较小土壤有机质、叶面积指数和光量子密度与树种空间变异之间无显著关系;4)在已知种群空间变异中,环境因子(包括环境变量单独解释部分、环境变量与空间变量交互作用部分)解释能力较低,而纯粹的空间变量(即空间变量单独解释部分)对种群空间变异具有较高的解释能力,说明一些未知的独立于环境因子的空间过程在树木种群空间格局的形成过程中发挥了重要作用。

关键词: 局部Moran s I, 变异分割, 环境解释, 空间自相关

Abstract:

Spatial pattern of 12 tree species in a secondary forest was investigated, and the relationship between spatial distribution of trees and environment factors was analyzed. The results indicated: 1) Most of environment factors and tree species showed significant spatial autocorrelation, that is, there was a spatially clumped structure;2) Variation partition analysis of the space indicated that environment factors regulated mainly the spatial pattern of saplings and young trees, however there was little effect of the environment factors on the distribution of big trees;3) Soil moisture and soil pH value significantly influence on the distribution pattern of most tree species,and soil nutrition (including total N,total P,total K) showed slight effect on the distribution pattern; however, soil organic matter,leaf area index and PPFD had no significant effect on spatial variation of 12 tree species;4) Environment factors hardly interpreted spatial variation of tree species (including variation interpreted by environment alone and variation interpreted by environment and space in common). In contrast, pure spatial variables exhibited stronger interpretation power,which suggested that some unknown spatial process or processes independent of environment factors might play an important role in the formation of spatial structure of tree species.

Key words: local Moran s I, variation partition, environmental interpretations, autocorrelation