|本期目录/Table of Contents|

[1]李颖,上官铁梁,郭东罡,等.灵空山不同生境油松种群空间格局的地统计学分析[J].应用与环境生物学报,2015,21(01):115-120.[doi:10.3724/SP.J.1145.2014.07032]
 LI Ying,SHANGGUAN Tieliang**,GUO Donggang,et al.Geostatistical analysis on the spatial pattern of Pinus tabulaeformis population at different habitats in Lingkong Mountain[J].Chinese Journal of Applied & Environmental Biology,2015,21(01):115-120.[doi:10.3724/SP.J.1145.2014.07032]
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灵空山不同生境油松种群空间格局的地统计学分析()
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《应用与环境生物学报》[ISSN:1006-687X/CN:51-1482/Q]

卷:
21卷
期数:
2015年01期
页码:
115-120
栏目:
研究论文
出版日期:
2015-02-25

文章信息/Info

Title:
Geostatistical analysis on the spatial pattern of Pinus tabulaeformis population at different habitats in Lingkong Mountain
作者:
李颖上官铁梁郭东罡张婕
1山西大学黄土高原研究所 太原 030006
2山西大学环境与资源学院 太原 030006
3山西大学生命科学学院 太原 030006
Author(s):
LI Ying SHANGGUAN Tieliang** GUO Donggang ZHANG Jie
1Institute of Loess Plateau of Shanxi University, Taiyuan 030006, China
2School of Life Science of Shanxi University, Taiyuan 030006, China
3School of Environmental and Resource Sciences of Shanxi University, Taiyuan 030006, China
关键词:
油松种群地统计格局
Keywords:
Pinus tabulaeformis Population Geostatistics Pattern Lingkong Mountain
DOI:
10.3724/SP.J.1145.2014.07032
摘要:
为揭示油松(Pinus tabulaeformis)种群空间分布格局及其空间相关关系。本文采用地统计学的半方差分析法对灵空山国家级保护区内不同生境油松种群的空间分布格局进行了分析,并用克里金插值法绘制了不同生境油松种群胸高断面积的等值线图。研究结果表明:(1)山脊的油松种群胸高断面积的最优半方差拟合模型为指数模型,缓坡和沟谷的最优半方差拟合模型均为球状模型, 三个生境的油松种群均呈聚集分布。(2)山脊、缓坡和沟谷的空间异质性主要是由空间自相关引起的,其空间自相关范围分别为11.16m、9.99m、4.74m。(3)山脊和缓坡相较于沟谷而言具有较高的基台值、较高的决定系数、较低的分维数,说明山脊和缓坡的油松种群具有较高的空间异质性和较明显的空间格局,而沟谷的空间异质性程度较低。有上述结果可知各生境中的油松种群空间分布格局不尽相同,这是由油松自身的生物学特性和环境因素共同决定的。
Abstract:
Objectives: In order to reveal the distribution pattern and spatial correlation of Pinus tabulaeformis population. Methods: In this paper geostatistical theory and methods were used to examine the distribution pattern and spatial correlation of Pinus tabulaeformis population in different habitats of Lingkong Mountain. Results: The results show is shown as follows. i) The semivariograms well fitted the exponential model for Pinus tabulaeformis populations at the mountain ridge; but the spherical model for those in slow slope and valley areas. All three populations showed aggregated pattern. ii) The spatial heterogeneity of the habitats of ridge, slow slope and valley was most due to the spatial autocorrelation in the ranges of 11.16 m, 9.99 m and 4.74 m, respectively. iii) The populations at the ridges and gentle slopes showed greater sill values and determinant coefficient but lower fractal dimension than the pines in valleys, indicating that the first two habitats are characterized by higher degree of spatial heterogeneity and more significant spatial patterns, which is not found in the valley populations. Conclusions: It is referred that the variations in the spatial distribution patterns of Pinus tabulaeformis populations is likely resulted from both the intrinsic biological characteristics and the environmental factors.

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备注/Memo

备注/Memo:
收稿日期:2014-07-25    接受日期:2014-09-30
国家自然科学基金项目(31400358)和山西省自然科学基金项目(2011011030-1)资助。
本文为已录用的作者修定稿,尚未经编辑全面修改;发表刊期和页码将以正式出版时的安排为准,但DOI确定不变。
**通讯作者 Corresponding author (E-mail:sgtl_55@163.com)
更新日期/Last Update: 2014-12-17