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Trophic level, successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles

机译:营养级别,连续年龄和特质匹配决定了皂甲虫基于木质的互动网络的专业化

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The specialization of ecological networks provides important insights into possible consequences of biodiversity loss for ecosystem functioning. However, mostly mutualistic and antagonistic interactions of living organisms have been studied, whereas detritivore networks and their successional changes are largely unexplored. We studied the interactions of saproxylic (deadwood-dependent) beetles with their dead host trees. In a large-scale experiment, 764 logs of 13 tree species were exposed to analyse network structure of three trophic groups of saproxylic beetles over 3 successional years. We found remarkably high specialization of deadwood-feeding xylophages and lower specialization of fungivorous and predatory species. During deadwood succession, community composition, network specialization and network robustness changed differently for the functional groups. To reveal potential drivers of network specialization, we linked species' functional traits to their network roles, and tested for trait matching between plant (i.e. chemical compounds) and beetle (i.e. body size) traits. We found that both plant and animal traits are major drivers of species specialization, and that trait matching can be more important in explaining interactions than neutral processes reflecting species abundance distributions. High network specialization in the early successional stage and decreasing network robustness during succession indicate vulnerability of detritivore networks to reduced tree species diversity and beetle extinctions, with unknown consequences for wood decomposition and nutrient cycling.
机译:生态网络的专业化为生态系统运作的生物多样性损失的可能后果提供了重要的见解。然而,研究了生物体的互相互动和拮抗相互作用,而Debritivere网络及其连续变化主要是未开发的。我们研究了皂(Deadwood依赖)甲虫与死宿主树的相互作用。在大规模的实验中,暴露764种13种树种的原木,分析了3年3年3岁的三种营养液组的网络结构。我们发现喂养木瓜喂养的高度专业化,较低的毒性和捕食性物种的专业化。在Deadwood继承期间,为功能群体的社区成分,网络专业化和网络稳健性有所不同。为了揭示网络专业化的潜在驱动因素,我们将物种的功能性与其网络角色联系起来,并在植物(即化学化合物)和甲虫(即体尺寸)特征之间进行了特性匹配。我们发现,植物和动物特征都是物种专业化的主要驱动因素,并且这种特质匹配在解释反映物种丰富分布的中性过程中的相互作用方面更为重要。在继承早期的高网络专业化和连续期间降低网络鲁棒性表明Detrivore Networks对降低树种多样性和甲虫灭绝的脆弱性,对木材分解和营养循环的未知后果。

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