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我们采用了修正的随机性比(MST),标准化的平均功能和系统发育距离(SES。MPD,SES。MFD)和广义相异性模型(GDM)来研究社区组装的过程。此外,采用随机森林模型、GDM和广义加法模型(GAM)研究了祁连山分类学、功能、系统发育多样性及其β多样性的驱动因素。
beta diversity, bird community, community assembly, diversity patterns, environmental filtering, Qilian mountains, turnover, uplift of the QTP
beta diversity, bird community, community assembly, diversity patterns, environmental filtering, Qilian mountains, turnover, uplift of the QTP
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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