Impact of cyber-invasive species on a large ecological network.

Impact of cyber-invasive species on a large ecological network.
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DOI:
10.1038/s41598-018-31423-4
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发表时间:
2018-09-05
期刊:
影响因子:
4.6
通讯作者:
Gross T
Gross T
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Doizy A;Barter E;Memmott J;Varnham K;Gross T

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随着引进物种的影响在营养水平上层层递减,它们可能会造成间接和反直觉的影响。为了研究入侵物种在网络尺度上的影响,我们使用了一个广义的食物网模型,该模型能够通过具有一系列生态现实标准的网络传播变化。使用来自英国近海一个小岛的数据,我们量化了四种虚拟入侵物种(食虫、食草动物、食肉动物和以老鼠为食物的杂食动物)的影响,并探索哪些物种集群的反应相似。我们发现,对入侵物种影响的预测在生态学上是合理的,即使在大型网络中也是如此。同一分类群中的物种也同样受到虚拟入侵物种的影响。但是,在给定的分类法组中可能会出现有趣的差异。结果表明,一些本土物种可能面临着比之前认为的更广泛的入侵风险。讨论了这些结果对生态学家和土地管理者的影响。
As impacts of introduced species cascade through trophic levels, they can cause indirect and counter-intuitive effects. To investigate the impact of invasive species at the network scale, we use a generalized food web model, capable of propagating changes through networks with a series of ecologically realistic criteria. Using data from a small British offshore island, we quantify the impacts of four virtual invasive species (an insectivore, a herbivore, a carnivore and an omnivore whose diet is based on a rat) and explore which clusters of species react in similar ways. We find that the predictions for the impacts of invasive species are ecologically plausible, even in large networks. Species in the same taxonomic group are similarly impacted by a virtual invasive species. However, interesting differences within a given taxonomic group can occur. The results suggest that some native species may be at risk from a wider range of invasives than previously believed. The implications of these results for ecologists and land managers are discussed.
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