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安太堡露天矿区人工植被的物种多度分布分析 被引量:18

Species Abundance Patterns of Artificial Vegetation in Antaibao Open Mine
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摘要 This paper examed the output of four niche models: niche preemption model, broken stick model, overlapping niche model, logarithmic series distribution, in application to three kind of communities of artificial vegetation in Antaibao open mine. The results showed that overlapping niche model could well fit to the species abundance distribution of forest community, while broken stick model could well fit to the thicket and meadow communities. Forest community was more adaptable for the special inhabitation than the thicket community and the meadow community. The regression between the parameters of logarithmic series distribution α and the classical community diversity index-Shannon-Winner index was liner. While there were the same ecological significance between the species-abundance diagram of models and the niche overlapping values of community. This paper examed the output of four niehe models : niche preemption model, broken stiek model, Overlapping niehe model, logarithmic series distribution, in applieation to three kind of eommunities of artifieial vegetation in Antaibao open mine. The results showed that overlapping niehe model eould well fit to the speeies abundanee distribution of forest eommunity, while broken stiek model eould well fit to the thieket and meadow communities. Forest eommunity was more adaptable for the speeial inhabitation than the thieket eommunity and the meadow eommunity. The regression between the parameters of logarithmie series distribution a and the elassieal eommunity diversity index-Shannon-Winner index was liner. While there were the same eeologieal significance between the speeies-abundanee diagram of models and the niehe overlapping values of community.
出处 《林业科学》 EI CAS CSCD 北大核心 2007年第3期118-121,共4页 Scientia Silvae Sinicae
基金 国家自然科学基金资助项目(30070140) 北京市自然科学基金项目 北京市教育委员会科技发展计划重点项目(KE200410028014)共同资助。
关键词 人工植被 生态位模型 群落多样性 群落普遍生态位重叠 artifieial vegetation niehe model eommunity diversity eommunity niehe overlapping
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