Loop analysis quantifying important species in a marine food web

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
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Abstract

Improving the predictive power of food web analysis is a major challenge. Identifying the relationships that link topological and dynamical features may help. We used the predictions of loop analysis about the effect of perturbations targeted to the components of Barents sea food web to quantify their sensitivity and community impact, that we summarized in two new indices, NI and NS. Using a multivariate analysis we interpreted the meaning of these indices in a benchmarking exercise using several well recognized indices of species topological (positional) importance. Our findings suggest that the information the two indices proposed here provides does not overlap with that of more diffused topological indices of positional importance (i.e. centrality indices). The former are express the dynamic consequences of the topology in which species are embedded, whereas for the latter such dynamical consequences are mostly hypothesized on a topological base. The indices of loop analysis are based on the effective role a species plays in passing the impacts to other species (NI) and their role as sinks of the perturbations entering anywhere in the system (NS). These two indices, in the end, reveal how the topology of the network affects the response of the species to perturbations and thus emphasize the interaction between topology and dynamics. Based on our results, the question related to conservation is whether to prioritize sensitive species, that can be more strongly influenced when others are perturbed, or species of high impact, that can more strongly influence the rest of the community if perturbed.
对海洋食物网中重要物种进行量化的循环分析
提高食物网分析的预测能力是一项重大挑战。确定拓扑和动力学特征之间的联系可能会有所帮助。我们利用循环分析对巴伦支海食物网各组成部分的扰动效应的预测,量化了它们的敏感性和群落影响,并将其归纳为两个新指数:NI 和 NS。通过多变量分析,我们利用几种公认的物种拓扑(位置)重要性指数,对这些指数的含义进行了基准分析。我们的研究结果表明,本文提出的这两个指数所提供的信息与位置重要性拓扑指数(即中心度指数)所提供的信息并不重叠。前者表达的是物种所处拓扑结构的动态结果,而后者的动态结果大多是在拓扑基础上假设的。环路分析指数基于一个物种在将影响传递给其他物种时所扮演的有效角色(NI),以及它们作为进入系统任何地方的扰动汇所扮演的角色(NS)。这两个指数最终揭示了网络拓扑结构如何影响物种对扰动的响应,从而强调了拓扑结构与动力学之间的相互作用。根据我们的研究结果,与保护相关的问题是,是优先考虑敏感物种(当其他物种受到扰动时,敏感物种会受到更强烈的影响),还是优先考虑高影响物种(如果受到扰动,高影响物种会对群落的其他部分产生更强烈的影响)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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