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干旱区地理 ›› 2012, Vol. 35 ›› Issue (6): 960-967.

• 生物与土壤 • 上一篇    下一篇

祁连山大野口流域青海云杉种群结构和空间分布格局

李效雄1,刘贤德1,2,赵维俊2   

  1. 1〓甘肃农业大学,甘肃〓兰州〓730070;〓2〓甘肃省祁连山水源涵养林研究院,甘肃〓张掖〓734000
  • 收稿日期:2012-01-05 修回日期:2012-05-04 出版日期:2012-11-25
  • 通讯作者: 赵维俊,Email:zhaoweijun1019@126.com
  • 作者简介:李效雄(1973-),男,甘肃酒泉人,博士研究生,主要从事恢复生态学研究. Email:Lxx5959@163.com
  • 基金资助:

    国家林业局林业公益性行业科研专项“甘肃祁连山青海云杉林生态系统动态监测研究(200904022-4)”;和甘肃省科技计划(1011WCGG164)联合资助

Population structure and spatial distribution pattern of Picea crassifolia in Dayekou Basin of Qilian Mountains

LI Xiao-xiong1,LIU Xian-de1,2,ZHAO Wei-jun2   

  1. 1  Gansu Agricultural University, Lanzhou 730070, Gansu, China; 2  Academy of Water Resources Conservation Forests in Qilian Mountains of Gansu Province, Zhangye 734000, Gansu, China
  • Received:2012-01-05 Revised:2012-05-04 Online:2012-11-25

摘要: 青海云杉(Picea crassifolia)是祁连山亚高寒山地森林植被的建群种之一。应用“相邻格子法”获得100 m×100 m样方内所有个体的调查资料,采用种群动态和胸径、树高和冠幅级频率分布及6种聚集强度指数分析了青海云杉的种群结构和空间分布格局。结果表明:(1)青海云杉种群动态分析表明,种群表现为增长型种群。(2)青海云杉种群胸径级频率分布呈“倒J”型,胸径级随个体数的变化符合对数方程y=-219.32ln(x)+482.67(R2=0.963 8,P<0.01),胸径分异指数为0.48,种群个体胸径差异属明显分异;树高级频率分布呈“间歇”型,不同高度级与个体数之间可用二次方程y=0.795x2-31.23x+285.1(R2=0.603,P<0.01)进行较好的描述,树高分异指数为0.55,高度差异属明显分异;胸径和树高两者之间符合对数方程y=5.912ln(x)-4.249 3(R2=0.603,P<0.01);冠幅级与个体数之间可用三次方程y=5.317 6x3 -91.759x2+408.88x-173.87(R2=0.8355,P<0.01)进行很好的拟合[WTBZ],冠幅分异指数为0.53,种群个体冠幅差异亦属明显分异。总体上看,青海云杉幼苗较为丰富,天然更新能力强,目前表现为成熟稳定型种群。(3)在空间分布格局上,青海云杉种群空间分布格局呈斑块状聚集分布,其扩散系数、丛生指标、聚块性指数、平均拥挤度指数、负二项式分布参数、Cassie指标分别为1.162、2.285、0.162、85.802、1.002和0.026。在不同发育阶段的分布格局有所差异,Ⅰ级幼苗和Ⅱ级幼苗为聚集分布,小树、中树和大树为均匀分布,随着龄级的增大,种群的聚集程度减小,即由聚集分布变为均匀分布,该种群表现出明显的扩散趋势。研究结果可为青海云杉的管理和经营提供理论依据。

关键词: 祁连山, 青海云杉, 种群结构, 分异指数, 空间分布格局

Abstract: Picea crassifolia is an important constructive and dominant species of subalpine mountain forest vegetation in the Qilian Mountains. This paper takes the Picea crassifolia natural secondary forest as a research object which grows in Dayekou Basin of the Qilian Mountains, by setting up a major quadrate method investigation and analyzing its population structure and spatial distribution pattern. The method of adjacent grid method was used to analyze the entire individual[JP8]’s[JP] data of 100 m×100 m simple investigation, the population dynamics and [WTBX]DBH[WTBZ], tree height and crown breadth frequency distribution and 6 kinds of aggregation intensity indexes were used to analyze the structure and spatial distribution pattern of Picea crassifolia population. The results show that population dynamics of Picea crassifolia population belonging to increasing type. DBH size class frequency distribution of Picea crassifolia population is “pour J” type, DBH size class with the change of individual level is quite fit for the logarithmic equation y=219.32 ln (x) + 482.67 (R2=0.9638, P< 0.01), differentiation index of DBH is 0.48, the differences of DBH in the population for each individual is obvious; Frequency distribution of the tree height is “intermittent” type, Tree height size class and individual level can be explained by quadratic equation y = 0.795 x2-31.23 x + 285.1 (R2 = 0.603, P < 0.01), differentiation index of tree height is 0.55, tree height difference is evident; The logarithmic equation y = 5.912 ln (x) 4.2493 (R2 = 0.603, P < 0.01) can be used to show the relation between tree height and DBH; Crown breadth size class and individual are accorded with equation y = 5.3176 x3-91.759 x2 + 408.88 x-173.87 (R2 = 0.8355, P < 0.01), differentiation index of crown breadth is 0.53, the differentiation crown breadth of population individual is apparent. In general, Picea crassifolia seedlings is relatively rich, natural regeneration ability is strong, at present the performance of Picea crassifolia population is the mature stable populations. On the spatial distribution pattern, Picea crassifolia population space distribution pattern is gathered as plaques form, and the diffusion coefficient, bushes index, index of patchiness, average crowded index, negative binomial distribution parameters, Cassie index are 1.162, 2.285, 0.162, 85.802, 1.002 and 0.026 respectively. Distribution pattern for different development stages are different, Ⅰ level and Ⅱ level seedlings are in aggregate distribution, the young tree, middle size tree and big tree distribute uniformly, with the age increase, the population gathering level reduce, which means that the aggregate distribution turns into uniform distribution, this population displays obviously diffusion trend. This study can provide the theoretical proofs to administration and management of Picea crassifolia forest.

Key words: Qilian Mountains, Picea crassifolia, population structure, differentiation indexes, spatial distribution pattern

中图分类号: 

  • Q948.12