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在空间中构建树突生态网络:一种综合网络视角。

Modelling dendritic ecological networks in space: an integrated network perspective.

机构信息

CSIRO Division of Mathematics, Informatics and Statistics, Dutton Park, QLD, Australia.

出版信息

Ecol Lett. 2013 May;16(5):707-19. doi: 10.1111/ele.12084. Epub 2013 Mar 4.

Abstract

Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors).

摘要

树突状生态网络(DENs)是一种独特的生态网络形式,具有树突状网络拓扑结构(例如溪流和洞穴网络或植物结构)。DENs 具有双重空间表示形式;作为网络内的点和地理空间内的点。因此,用于量化其他类型生态网络或 2-D 空间中关系的一些分析方法可能不足以研究结构和连通性对 DEN 内生态过程的影响。我们提出了一种网络分析方法的概念分类法,该分类法在不同程度上考虑了 DEN 的特征,并在溪流生态学的背景下综合了不同的方法。在这种情况下,我们总结了一组新的空间统计模型的关键创新,这些模型描述了 DEN 中的空间关系。最后,我们讨论了如何结合不同的网络分析来解决更复杂和新颖的研究问题。虽然我们的主要重点是溪流,但网络分析的分类法也适用于任何地方,在这些地方,网络和 2-D 空间中的空间模式可用于探索多尺度过程对生物区系及其栖息地的影响(例如,植物形态和虫害,或沿溪流或道路走廊的优先迁移)。

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