High-order interactions maintain or enhance structural robustness of a coffee agroecosystem network
High-order interactions maintain or enhance structural robustness of a coffee agroecosystem network
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DOI：
10.1016/j.ecocom.2021.100951
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发表时间：
2021-08-05
影响因子：
3.5
通讯作者：
Benitez, Mariana
中科院分区：
文献类型：
--
作者：
Gonzalez, Cecilia Gonzalez;Van Cauwelaert, Emilio Mora;Benitez, Mariana
事实证明，高度多样化的系统占主导地位的能力很难解释。除了方法论问题外，生态系统固有的复杂性以及诸如多听诊、非线性和特定背景等问题，使得建立一般性和单向的解释变得困难。然而，近年来，人们越来越多地讨论高阶相互作用，认为它是一种有利于高度多样化生态系统功能的机制，并可能增加解释其持久性的机制。到目前为止，这个想法一直是通过假想的模拟网络来探索的。在这里，我们使用一个更新的、有经验证明的咖啡农业生态系统网络来测试这一想法。我们识别潜在的关键节点，并在有和没有加入高阶相互作用的情况下测量节点移除时的网络健壮性。我们发现，与具有相似结构特征的随机化系统相比，高阶相互作用的加入要么增加了系统的鲁棒性，要么不影响系统的鲁棒性。我们还提出了一种将高阶相互作用的网络表示为普通图的方法，并提出了一种衡量其稳健性的方法。
The capacity of highly diverse systems to prevail has proven difficult to explain. In addition to methodological issues, the inherent complexity of ecosystems and issues like multicausality, non-linearity and context-specificity make it hard to establish general and unidirectional explanations. Nevertheless, in recent years, high order interactions have been increasingly discussed as a mechanism that benefits the functioning of highly diverse ecosystems and may add to the mechanisms that explain their persistence. Until now, this idea has been explored by means of hypothetical simulated networks. Here, we test this idea using an updated and empirically documented network for a coffee agroecosystem. We identify potentially key nodes and measure network robustness in the face of node removal with and without incorporation of high order interactions. We find that the system's robustness is either increased or unaffected by the addition of high order interactions, in contrast with randomized counterparts with similar structural characteristics. We also propose a method for representing networks with high order interactions as ordinary graphs and a method for measuring their robustness.