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一个小型随机组建的社区是否可行和稳定?

Will a small randomly assembled community be feasible and stable?

机构信息

Department of Civil and Environmental Engineering, MIT, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA.

出版信息

Ecology. 2018 Mar;99(3):743-751. doi: 10.1002/ecy.2125. Epub 2018 Jan 29.

Abstract

How likely is it that few species can randomly assemble into a feasible and stable community? Some studies have answered that as long as the community is feasible, it will nearly always be stable. In contrast, other studies have answered that the likelihood is almost null. Here, we show that the origin of this debate has been the underestimation of the association of the parameter space of intrinsic growth rates with the feasibility and stability properties of small randomly-assembled communities. In particular, we demonstrate that not all parameterizations and sampling distributions of intrinsic growth rates lead to the same probabilities of stability and feasibility, which could mistakenly lead to under- or overestimate the stability properties of feasible communities. Additionally, we find that stability imposes a filtering of species abundances "towards" more even distributions in small feasible randomly-assembled communities. This indicates that the stability of feasible communities is inherently linked to the starting distribution of species abundances, a characteristic that many times has been ignored, but should be incorporated in manageable lab and field experiments. Overall, the return to this debate is a central reminder that a more systematic exploration of the feasible parameter space is necessary to derive general conclusions about the stability properties of ecological communities.

摘要

少数物种随机组合成可行且稳定的群落的可能性有多大?一些研究回答说,只要群落是可行的,它几乎总是稳定的。相比之下,其他研究则回答说,这种可能性几乎为零。在这里,我们表明,这场争论的根源是低估了内在增长率参数空间与小型随机组合群落可行性和稳定性特征的关联。具体来说,我们证明了并非所有内在增长率的参数化和抽样分布都会导致相同的稳定性和可行性概率,这可能会错误地导致对可行群落稳定性特征的低估或高估。此外,我们发现稳定性对小可行随机组合群落中的物种丰度分布“朝着”更加均匀的分布施加了过滤。这表明可行群落的稳定性本质上与其物种丰度的起始分布有关,这一特征经常被忽视,但在可管理的实验室和野外实验中应该加以考虑。总的来说,这场争论的回归是一个重要的提醒,即需要更系统地探索可行的参数空间,才能得出关于生态群落稳定性特征的一般结论。

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