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Characterizing topology of ecological networks along gradients: The limits of metrics' standardization

机译:沿梯度表征生态网络拓扑:度量标准的局限性

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摘要

Species interact in nature to form complex ecological networks. There has been a rising interest in recent years to characterize the topology of such networks along various gradients (e.g. successional, climatic, elevational) to better understand how they assemble in space and time. However, to compare structure of networks that vary in size, shape and connectance, topological metrics need to be standardized (as most metrics covary with such network attributes). Traditionally, this has been done by transforming network metrics into z-scores prior comparisons. Here, I show that such standardized metrics are not independent of basic network properties such as connectance. Instead, I found that there was a consistent tendency for z-scores to approach 0 when connectance progressively decreased and approached its minimal value. This is probably due to the reduced null space available for null models to randomize interactions at such low connectance. I discuss ways to circumvent the problem in future studies. (C) 2015 Elsevier B.V. All rights reserved.
机译:物种在自然界相互作用形成复杂的生态网络。近年来,人们越来越感兴趣地沿着各种梯度(例如,连续的,气候的,高程的)来表征这种网络的拓扑结构,以更好地了解它们在空间和时间上的组装方式。但是,为了比较大小,形状和连通性不同的网络结构,需要对拓扑指标进行标准化(因为大多数指标都带有此类网络属性)。传统上,这是通过将网络指标转换为z分数进行预先比较来完成的。在这里,我证明了这种标准化的度量标准并不独立于诸如连接性之类的基本网络属性。相反,我发现当连接数逐渐减少并接近其最小值时,z分数始终趋近于0。这可能是由于在这种低连接性下可用于null模型以使交互随机化的null空间减少了。我讨论了在将来的研究中规避该问题的方法。 (C)2015 Elsevier B.V.保留所有权利。

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