Co-flowering modularity and floral trait similarity help explain temporal changes in plant–pollinator network structure
Co-flowering modularity and floral trait similarity help explain temporal changes in plant–pollinator network structure
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DOI：
10.1007/s11258-022-01275-0
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发表时间：
2022-11
期刊：
影响因子：
1.7
通讯作者：
Alexander Suárez-Mariño;G. Arceo‐Gómez;Cristopher Albor;V. Parra‐Tabla
中科院分区：
文献类型：
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作者：
Alexander Suárez-Mariño;G. Arceo‐Gómez;Cristopher Albor;V. Parra‐Tabla
开花物候是影响植物-传粉者网络时间动态的重要因素之一。然而，大多数研究没有明确纳入开花物候的影响，这可能会导致关于植物传粉网络结构的结论出现偏差，模糊了我们对解释这些网络随时间变化的因素的理解。通过分析共花网络、花部特征相似性和传粉者共享性，揭示了两个沿海群落植物-传粉者网络结构的时间动态。我们记录了每种植物的开花物候，以构建共花网络以及花访客的身份和频率。我们估计和测试的差异，花性状的相似性和传粉者共享共开花模块。为了揭示开花对植物-传粉者网络结构的影响，我们构建了植物-传粉者网络的子网络，并分析了传粉者在每个子网络中的作用。花部性状的相似性和传粉者的共享与植物传粉网络结构的变化有关，但这些变化是社区依赖的。植物传粉者子网络的模块化结构和网络专业化指数在两个社区统计上是持久的，这表明在整个开花季节的流行专门的相互作用。这一结果是一致的占主导地位的外围作用，大多数传粉物种在两个社区的共花模块。我们的研究结果强调了明确考虑开花物候的重要性，以促进我们对解释植物传粉网络结构随时间变化的机制的理解。
Flowering phenology can be one of the most important factors mediating the temporal dynamics of plant–pollinator networks. However, most studies do not explicitly incorporate the effect of flowering phenology, which may bias conclusions about the structuring of plant–pollinator networks, obscuring our understanding of factors that explain the temporal variation of these networks. By analyzing co-flowering networks, floral traits similarity and pollinator sharing, in this study we aim to uncover the temporal dynamics of plant–pollinator network structure in two coastal communities. We recorded the flowering phenology of each plant species to construct co-flowering networks and the identity and frequency of floral visitors. We estimated and tested for differences in floral trait similarity and pollinator sharing across co-flowering modules. To disentangle the phenological effect of flowering on the structure of plant–pollinator networks, we constructed plant–pollinator subnetworks for each co-flowering modules and analyzed the role of the pollinators in each subnetwork. Floral trait similarity and pollinator sharing were related to changes in the structure of plant–pollinator networks, but these changes were community-dependent. The modular structure and network specialization index of plant–pollinator subnetworks were statistically persistent in both communities, suggesting the prevalence of specialized interactions throughout the flowering season. This result was consistent with the predominant peripheral role of most pollinator species across co-flowering modules in both communities. Our results highlight the importance of explicitly considering flowering phenology to advance our understanding of the mechanisms that explain temporal changes in the structure of plant–pollinator networks.