北京松山油松种群结构及空间分布格局  

Structure and Spatial Distribution of Pinus tabulaeformis Population in the Songshan Nature Reserve,Beijing,China

作　　者：张赟[1] 赵亚洲[1] 张春雨[1] 赵秀海[1] 

机构地区：[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

出　　处：《应用与环境生物学报》2009年第2期175-179,共5页Chinese Journal of Applied and Environmental Biology

基　　金：北京市教委项目(No.200702)资助~~

摘　　要：研究了北京松山自然保护区天然油松(Pinus tabulaeformisr)林的树冠结构和个体胸径,通过Ripley’sK函数探讨了油松种群不同层次个体(幼树、小树和大树)的空间分布及空间关系,并探讨了地形(海拔高度、坡度)对油松种群空间分布的影响.结果表明,油松种群的胸径分布呈双峰型,应用Weibull函数拟合效果较好;树冠分布呈倒J型;胸径与冠幅存在显著的指数关系.油松种群呈聚集分布,但随高度增加(幼树→小树→大树)聚集强度逐渐减弱,枯立木在样地内呈随机分布.枯立木与油松大树在1m、5m和13～18m距离为显著正相关,幼树与小树在2～4m和6～18m距离呈显著正相关.海拔高度与油松种群呈正相关,坡度与幼树分布呈正相关,与小树和大树分布呈负相关.The individual diameter at breast height （DBH） and canopy structure of Pinus tabulaeformis forest in the Songshan Nature Reserve in Beijing, China were studied, and the spatial pattern and spatial association of its different growth stages （Young, small and big trees） were analyzed by Ripley＇s K function. The effects of two terrain factors （Elevation and slope） on spatial distribution of P. tabulaeformis were discussed. The results indicated that the DBH distribution of P. tabulaeformis possessed two peaks, and was well fitted by Weibull function. Tree canopy presented inverse J distribution and the correlation between the DBH and canopy was well fitted by exponential function. P. tabulaeformis showed an aggregated distribution, and clump intensity decreased as population grew （Young→small→big trees）. Standing dead trees presented a random distribution. Spatial association between standing dead trees and big trees showed a significant positive correlation in distance of 1 m, 5 m and 13 to 18 m, while the young and small trees were positively correlated in distance of 2 to 4 m and 6 to 18 m. Elevation was positively correlated with P. tabulaeformis, while slope was positively correlated with young trees, but negatively with small and big trees. Fig 5, Tab 2, Ref 24

关 键 词：油松 种群结构 WEIBULL分布 空间分布 空间关联 北京松山 

分 类 号：S791.254[农业科学—林木遗传育种]