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小陇山不同灌木林地改造模式林分树种多样性研究
引用本文:赵中华,袁士云,惠刚盈,王润喜.小陇山不同灌木林地改造模式林分树种多样性研究[J].林业资源管理,2008(1).
作者姓名:赵中华  袁士云  惠刚盈  王润喜
基金项目:引进国际先进农业科技计划(948计划)
摘    要:生物多样性研究已经成为生态学研究的热点,而维持物种多样性是目前森林经营研究的一个主要内容。本文运用点抽样方法研究了甘肃小陇山5种不同的灌木林地改造模式的树种多样性。结果表明:带状割灌改造模式林分的树种较全面清理割灌模式丰富,Shannon-Wiener指数与Margalef指数较高,林分的树种多样性较高,林分内各树种分配较为均匀,带状割灌改造更有利于提高林分的树种多样性;在3种全面清理割灌改造模式中,改造日本落叶松模式虽然树种数与其它2种相同,但林分内树种分配均匀性差,集中性高。不同的改造模式对林分树种多样性的影响不同,这对提高和保持改造林分的物种多样性具有一定借鉴意义。

关 键 词:灌木林改造模式  树种多样性  小陇山

Study on the Stand Tree Species Diversity of Five Different Shrub Forest Transformation Models in Xiaolongshan
ZHAO ZHonghua,YUAN Shiyun,HUI Gangying,WANG Runxi.Study on the Stand Tree Species Diversity of Five Different Shrub Forest Transformation Models in Xiaolongshan[J].Forest Resources Management,2008(1).
Authors:ZHAO ZHonghua  YUAN Shiyun  HUI Gangying  WANG Runxi
Abstract:Study on biodiversity has become a hot subject in ecology research and maintaining of species diversity is the main content of forest management research.The paper uses the point sample study on the trees species diversity of the five different shrub forest transformation models in Xiaolongshan.The result shows that the tree species of the zonal cutting shrub transformation model is richer,Shannon-Wiener index,Margalef index and the tree diversity of the stand are higher,the distribution of tree species in stand is more uniform than clear cutting shrub forest transformation models. The zonal cutting shrub transformation is more beneficial to improving tree species diversity; clear cutting shrub forest model for improving Larix kaempferi has the same tree species number as the other models in the three clear cutting shrub forest transformation models,but its tree species distribution uniformity is inferior and the central tendency is higher. The effect is different to tree species diversity of different transformation models and it is significant to improve and maintain the stand tree species diversity of the transformed stands.
Keywords:shrub forest transformation  tree species diversity  Xiaolongshan
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