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模型生态系统中的物种组装,二:组装过程的结果。

Species assembly in model ecosystems, II: Results of the assembly process.

机构信息

Grupo Interdisciplinar de Sistemas Complejos (GISC), Departamento de Matemáticas, Escuela Politécnica Superior, Universidad Carlos III de Madrid, E-28911 Leganés, Madrid, Spain.

出版信息

J Theor Biol. 2011 Jan 21;269(1):344-55. doi: 10.1016/j.jtbi.2010.10.031. Epub 2010 Oct 30.

Abstract

In the companion paper of this set (Capitán and Cuesta, 2010) we have developed a full analytical treatment of the model of species assembly introduced in Capitán et al. (2009). This model is based on the construction of an assembly graph containing all viable configurations of the community, and the definition of a Markov chain whose transitions are the transformations of communities by new species invasions. In the present paper we provide an exhaustive numerical analysis of the model, describing the average time to the recurrent state, the statistics of avalanches, and the dependence of the results on the amount of available resource. Our results are based on the fact that the Markov chain provides an asymptotic probability distribution for the recurrent states, which can be used to obtain averages of observables as well as the time variation of these magnitudes during succession, in an exact manner. Since the absorption times into the recurrent set are found to be comparable to the size of the system, the end state is quickly reached (in units of the invasion time). Thus, the final ecosystem can be regarded as a fluctuating complex system where species are continually replaced by newcomers without ever leaving the set of recurrent patterns. The assembly graph is dominated by pathways in which most invasions are accepted, triggering small extinction avalanches. Through the assembly process, communities become less resilient (e.g., have a higher return time to equilibrium) but become more robust in terms of resistance against new invasions.

摘要

在本研究系列的配套论文中(Capitán 和 Cuesta,2010),我们对 Capitán 等人(2009)提出的物种集合模型进行了全面的解析处理。该模型基于构建一个包含群落所有可行组合的集合图,并定义一个马尔可夫链,其转移是通过新物种入侵对群落进行的转换。在本文中,我们对该模型进行了详尽的数值分析,描述了复现状态的平均到达时间、雪崩统计以及结果对可用资源量的依赖性。我们的结果基于这样一个事实,即马尔可夫链为复现状态提供了渐近概率分布,这可以用来以精确的方式获得可观察量的平均值以及这些量在演替过程中的时间变化。由于吸收到复现集的时间与系统的大小相当,因此很快就会达到终态(以入侵时间为单位)。因此,最终的生态系统可以被视为一个波动的复杂系统,其中物种不断被新来者所取代,而不会离开复现模式的集合。集合图主要由大多数入侵被接受的途径主导,引发小的灭绝雪崩。通过组装过程,群落的弹性(例如,回到平衡的时间更长)降低,但对新入侵的抵抗力增强。

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