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森林多样性指数簇及其本质性分析
引用本文:郎璞玫,娄丛艳.森林多样性指数簇及其本质性分析[J].北京林业大学学报,2008,30(5):148-153.
作者姓名:郎璞玫  娄丛艳
作者单位:1 中国林业科学研究院资源信息研究所林业遥感与信息技术实验室2 吉林省吉林森工集团松江河林业有限公司
基金项目:中央级公益性科研院所基本科研业务费专项资金,国家科技支撑计划
摘    要:物种丰富度作为对生物多样性十分敏感的指数,是总体物种数的偏小估计,所以生物多样性指数是一个偏序集,不宜用林地平均数作为该林分总体多样性指数的抽样估计。在众多的多样性指数集中,Shannon指数为标准多样性指数,具有平均稀有度的性质。将不满足平均稀有度的指数称为边际多样性指数。由实验数据获得长白山系张广才岭14个优势林分多样性指数的抽样估计。根据本质多样性的定义,得到14个优势林分的右尾和曲线值,并作多重比较。结果表明,物种的右尾和曲线的包络线是(0,1)到(S,0)的直线。 

关 键 词:特征函数    边际多样性    稀有度函数    本质多样性
收稿时间:1900-01-01

Forest diversity index cluster and intrinsic diversity analysis
LANG Pu-mei,LOU Cong-yan. Key Laboratory of Forest Remote Sensing , Information Technology,Research Institute of Resource , Information,Chinese Academy of Forestry,Beijing,P.R.China, Songjiang River Forestry Co.,Ltd.,Jilin Forest Industry Group,Baishan City,P.R.China..Forest diversity index cluster and intrinsic diversity analysis[J].Journal of Beijing Forestry University,2008,30(5):148-153.
Authors:LANG Pu-mei  LOU Cong-yan Key Laboratory of Forest Remote Sensing  Information Technology  Research Institute of Resource  Information  Chinese Academy of Forestry  Beijing    PRChina  Songjiang River Forestry Co  Ltd  Jilin Forest Industry Group  Baishan City    PRChina
Institution:1 Key Laboratory of Forest Remote Sensing and Information Technology,Research Institute of Resource and Information,Chinese Academy of Forestry,Beijing,100091,P.R.China; 2 Songjiang River Forestry Co., Ltd., Jilin Forest Industry Group,Baishan City,134504,P.R.China.
Abstract:Species richness is a very sensitive index of biological diversity and a partial small estimation of species number.Thereby,the index of biological diversity is a partial set.Sampling estimation of biodiversity index should not use average value of forested land.Shannon index as standard diversity index has the property of average rarity.The index dissatisfying with average rarity is named as marginal diversity index.Sampling estimation of diversity indices in 14 dominant stands were acquired based on exper...
Keywords:character function  marginal diversity  rarity function  intrinsic diversity
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