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武夷山常绿阔叶林空间结构参数分布特征
引用本文:陈婷婷,徐辉,杨青,陈水飞,葛晓敏,吴军,崔鹏,方炎明,丁晖.武夷山常绿阔叶林空间结构参数分布特征[J].生态学报,2018,38(5):1817-1825.
作者姓名:陈婷婷  徐辉  杨青  陈水飞  葛晓敏  吴军  崔鹏  方炎明  丁晖
作者单位:南京信息工程大学应用气象学院;环境保护部南京环境科学研究所自然保护与生物多样性研究中心/国家环境保护武夷山生态环境科学观测研究站/国家环境保护生物安全重点实验室;福建省武夷山生物研究所;南京林业大学南方现代林业协同创新中心/生物与环境学院;
基金项目:中央级科学事业单位修缮购置专项;环境保护部事业费项目
摘    要:基于武夷山9.6hm~2常绿阔叶林动态监测样地调查资料,采用角尺度、大小比数、混交度等空间结构参数分析其群落乔木层内部空间结构特征,阐述群落结构的形成与维持机制。结果表明,该样地乔木层以随机分布为主,聚集分布为辅;树种混交度也极高,具有很强的物种异质性;树种的优劣程度参差不齐,整体处于中庸的生长状态。样地呈强度混交的轻度聚集分布格局。前10位优势树种均呈集聚分布,且它们的树种混交程度都极高。木荷、甜槠等喜阳植物在乔木上层占有一定的生长优势;随着林内微环境的不断改变,赤楠、格药柃等喜阴植物开始在乔木下层广布繁殖,并占据有利地位,这不仅提高了该区域的物种混交程度,还大大增加了该生境中的物种多样性,有助于群落形成较为稳定的动态结构。同时,该样地当前以中、幼龄树木居多,暂未有建群种出现,可能正处于演替中后期。只有角尺度和混交度这两个参数间存在着极显著负相关,说明当一个样地内的树种混交程度越高,物种多样性越大,其空间分布也就越密集,反之亦然。

关 键 词:角尺度  大小比数  混交度  优势种  二元分布
收稿时间:2017/2/4 0:00:00
修稿时间:2017/10/15 0:00:00

Spatial distribution characteristics of an evergreen broad-leaved forest in the Wuyi Mountains, Fujian Province, southeastern China
CHEN Tingting,XU Hui,YANG Qing,CHEN Shuifei,GE Xiaomin,WU Jun,CUI Peng,FANG Yanming and DING Hui.Spatial distribution characteristics of an evergreen broad-leaved forest in the Wuyi Mountains, Fujian Province, southeastern China[J].Acta Ecologica Sinica,2018,38(5):1817-1825.
Authors:CHEN Tingting  XU Hui  YANG Qing  CHEN Shuifei  GE Xiaomin  WU Jun  CUI Peng  FANG Yanming and DING Hui
Institution:College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China;Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China,Wuyi Mountains Biological Institute of Fujian Province, Wuyi Mountains 354300, China,Wuyi Mountains Biological Institute of Fujian Province, Wuyi Mountains 354300, China,Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China,Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China,Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China,Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China,Co-Innovation Center for the Sustainable Forestry in Southern China/College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China and Research Center for Nature Conservation and Biodiversity/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains/State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China
Abstract:In this study, spatial structure parameters such as uniform angle index, size ratio, and mingling degree which based on the nearest four adjacent tree structure unit were used to analyze the spatial structure characteristics of the evergreen broad-leaved forest community in the Wuyi Mountains; this analysis was based on the examination of the tree layer of a community in a 9.6hm2 dynamic forest plot. This analysis method eliminated the influence of the mesoscale effect, unlike traditional analysis patterns. This method was also more convenient, because accurate distribution information could be obtained merely by investigating the angle between adjacent trees. The results showed that the spatial distribution pattern of the tree layer in the forest dynamics plot was largely predominated by random distribution and accompanied by slightly clustered distribution; high species heterogeneity was present in the forest dynamic plot as indicated by the high mingling degree of tree species; and the dominance index of the tree species was uneven as indicated by different size ratios for different tree species. The whole forest was in a moderate state of growth. The spatial structure characteristics of this plot represented a slightly aggregated distribution. Analysis of the three spatial structure parameters of the top 10 dominant tree species in the plot revealed that the dominant species all showed aggregated distribution and had a high mingling degree. For these 10 dominant species, heliophiles such as Schima superba and Castanopsis eyrie had certain growth advantages in the upper tree layer, while sciophiles such as Syzygium buxifolium and Eurya muricata propagated widely in the lower tree layer with the passage of time, and occupied favorable positions, leading to continuous changes in the micro-environment of the plot. This changing structure of the distribution not only improved the mingling degree of species, but also greatly increased species diversity, which contributed to the formation of a more stable dynamic community structure in this region. Moreover, young and mid-aged trees were predominantly distributed in this 9.6hm2 evergreen broad-leaved forest; this might suggest that the plot was in the middle or later stages of succession. Finally, only the uniform angle index was significantly and negatively correlated with mingling degree, indicating that the higher the mingling degree of tree species, the greater the species diversity, and therefore the more dense the spatial distribution of tree species. To understand succession in evergreen broad-leaved forests, we should continue to strengthen community investigations and monitoring of this area in future.
Keywords:uniform angle index  size ratio  mingling degree  dominant trees  bivariate distribution
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