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Incipient Criticality In Ecological Communities

机译:生态社区的初期批判

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摘要

In ecology, there have been attempts to establish links between the relative species abundance (RSA), the fraction of species in a community with a given abundance, and a power-law form of the species area relationship (SAR), the dependence of species richness on sampling area. However the SAR and other patterns in ecology often do not exhibit power-law behavior over an appreciable range of scales. This raises the question whether a scaling framework can be applied when the system under analysis does not exhibit power-law behavior. Here, we derive a general finite-size scaling framework applicable to such systems that can be used to identify incipient critical behavior and links the scale dependence of the RSA and the SAR. We confirm the generality of our theory by using data from a serpentine grassland plot, which exhibits a power-law SAR, and the Barro Colorado Island plot in Panama, whose SAR shows deviations from power-law behavior at every scale. Our results demonstrate that scaling provides a model-independent framework for analyzing and unifying ecological data and that, despite the absence of power laws, ecosystems are poised in the vicinity of a critical point.
机译:在生态学中,已经尝试在相对物种丰度(RSA),具有给定丰度的社区中物种的比例以及物种面积关系(SAR)的幂律形式,物种依存关系之间建立联系采样区域的丰富度。但是,SAR和生态学中的其他模式通常不会在一定范围内显示幂律行为。这就提出了一个问题,当所分析的系统不表现出幂律行为时,是否可以应用缩放框架。在这里,我们得出适用于此类系统的通用有限大小缩放框架,该框架可用于识别初期的关键行为并链接RSA和SAR的缩放依赖性。我们通过使用显示幂律SAR的蛇形草地样地和巴拿马的Barro Colorado Island样点的数据来证实我们理论的普遍性,巴拿马的Barro Colorado Island样例在各个尺度上都显示出与幂律行为的偏差。我们的结果表明,规模化为分析和统一生态数据提供了独立于模型的框架,并且尽管没有幂律,但生态系统仍处于临界点附近。

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