首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >Trophic level successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles
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Trophic level successional age and trait matching determine specialization of deadwood-based interaction networks of saproxylic beetles

机译:营养水平演替年龄和性状的匹配决定了基于枯木的甲虫甲虫相互作用网络的专业化

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摘要

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了解生物多样性丧失对生态系统功能的可能后果提供了重要见解。然而,大多数研究了生物体的相互影响和拮抗作用,而有害生物网络及其连续变化在很大程度上尚未得到探索。我们研究了saproxylic(依赖死木的)甲虫与其死寄主树的相互作用。在一项大规模实验中,在连续3年中,对13种树种的764根原木进行了暴露,以分析3个营养级甲虫的甲虫的网络结构。我们发现,以食材为食的木屑噬菌体的专业化程度很高,而食真菌和掠食性物种的专业化程度则较低。在枯木继承过程中,功能组的社区组成,网络专业化和网络健壮性有所不同。为了揭示网络专业化的潜在驱动力,我们将物种的功能性状与其网络角色联系起来,并测试了植物(即化学化合物)和甲虫(即体型)性状之间的性状匹配。我们发现植物和动物的性状都是物种专业化的主要驱动力,并且性状匹配在解释相互作用方面比反映物种丰度分布的中性过程更重要。演替初期的网络专业化程度高,演替过程中网络的健壮性下降,表明杀虫剂网络易受树木种类多样性和甲虫灭绝的影响,对木材分解和养分循环的影响未知。

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