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植物研究 ›› 2007, Vol. 27 ›› Issue (3): 331-337.doi: 10.7525/j.issn.1673-5102.2007.03.016

• 论文 • 上一篇    下一篇

乌兰布和沙漠灌木种群空间格局研究

宋英春;李凤日   

  1. 东北林业大学林学院,哈尔滨 150040
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-05-20 发布日期:2007-05-20
  • 通讯作者: 宋英春
  • 基金资助:
     

Spatial Pattern Analysis of Shrub Population in Wulanbuhe Desert

SONG Ying-Chun;LI Feng-Ri   

  1. Forestry College,Northeast Forestry University,Harbin 150040
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-05-20 Published:2007-05-20
  • Contact: SONG Ying-Chun
  • Supported by:
     

摘要: 应用地统计学中半方差函数,研究了内蒙古乌兰布和沙漠主要4种灌木种群的空间格局。在巴彦高勒镇西南设置一个1 000 m×1 000 m的样方,将样方划分为1 600个25 m×25 m的格子,记录各格子内出现的物种及其平均冠幅。运用地统计软件GS+for Windows计算样地各灌木种群的各向同性半方差函数的参数,并绘制其克立格(Kriging)图。从各向同性的半方差模型的参数来看,柽柳(Tamarix chinensis)属于聚集性分布的球型模型,其空间结构比率高,这表明在这一地区柽柳的冠幅分布变化较小,25 m的抽样步长合适;而白刺(Nitraria tangtorum)属于聚集性分布的指数模型,其空间结构比率比较低。本研究成果为沙漠地区植被的抽样调查提供了基础。

关键词: 乌兰布和沙漠, 灌木种群, 空间格局, 半方差函数

Abstract: In this paper, the spatial pattern for 4 main shrub populations in Wulanbuhe Desert, Inner Mongolia was studied by using the semivariogram in Geostatistics. A sample plot with 1 000 m×1 000 m (total area is 100 hectares), which was divided in to 1 600 grids(25 m×25 m for each grid), was set in southwest of Bayangaole Town. The species and mean crown width of each shrub in each grid were investigated and recorded. Using the software GS+ for Windows, the parameters of the isotropic semivariogram were calculated and the Kriging map was drawn for each shrub population in the plot. According to parameters of the isotropic semivariance model, The spatial distribution of Tamarix chinensis can be described with spherical model of cluster distribution and proportion of spatial structure was high, which indicated less change and the lag of 25 m is appropriate at this area. The spatial distributions for Nitraria tangtorum, follow the exponential model of cluster distribution and proportion of spatial structure was lower. The results will provide the basis of sampling inventory for the desert plants.

Key words: Wulanbuhe desert, shrub population, spatial pattern, Semivariance model

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