Flowering overlap and floral trait similarity help explain the structure of pollination networks
Flowering overlap and floral trait similarity help explain the structure of pollination networks
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DOI：
10.1111/1365-2745.13905
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发表时间：
2022-05
影响因子：
5.5
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
共花群落的特征通常是植物泛化程度高，但对导致高水平泛化和传粉者共享的潜在因素以及这些因素如何影响网络结构的了解仍然有限。开花物候和花部性状的相似性被认为是决定植物泛化和传粉者共享的最重要因素。然而，这些都是独立评估的，即使它们可以相互协调行动。此外，开花物候和花的相似性，通过它们对植物的泛化，在植物传粉网络的结构的重要性很少被研究。在这里，我们的目标是评估开花物候和花卉的相似性在介导的程度，传粉者共享和植物泛化在两个沿海社区，并揭示其重要性作为驱动程序的植物传粉网络结构。我们记录了每个品种的花卉产量，以及整个开花季节沿着花卉游客的身份和频率。我们估计开花重叠的程度，花的相似性程度（使用与大小和颜色相关的花的性状）和传粉者在两个社区内的植物物种之间共享的程度。结构方程模型（SEM）表明开花重叠传粉者共享和植物泛化的积极影响。传粉者共享和植物泛化积极影响网络嵌套。此外，扫描电镜显示，开花重叠网络模块化的直接积极影响。扫描电镜分析还揭示了一个显着的相互作用的影响，花的相似性和开花重叠授粉共享，网络嵌套在一个社区的后果。合成.我们的研究结果强调了将多个分化轴（如开花物候和花的相似性）整合到我们对植物-传粉者网络结构驱动因素的理解中的重要性。
Co‐flowering communities are usually characterized by high plant generalization but knowledge of the underlying factors leading to high levels of generalization and pollinator sharing, and how these may contribute to network structure is still limited. Flowering phenology and floral trait similarity are considered among the most important factors determining plant generalization and pollinator sharing. However, these have been evaluated independently even though they can act in concert with each other. Moreover, the importance of flowering phenology and floral similarity, via their effects on plant generalization, in the structure of plant–pollinator networks has been scarcely studied. Here, we aim to evaluate the effect of flowering phenology and floral similarity in mediating the degree of pollinator sharing and plant generalization in two coastal communities and uncover their importance as drivers of plant–pollinator network structure. We recorded flower production per species, as well as the identity and frequency of floral visitors along the entire flowering season. We estimated the degree of flowering overlap, the degree of floral similarity (using floral traits associated with size and colour) and the degree of pollinator sharing among plant species within both communities. Structural equation models (SEM) showed a positive effect of flowering overlap on pollinator sharing and plant generalization. Pollinator sharing and plant generalization positively affected network nestedness. Furthermore, SEM showed a direct positive effect of flowering overlap on network modularity. The SEM analyses also revealed a significant interaction effect of floral similarity and flowering overlap on pollinator sharing, with consequences for network nestedness in one community. Synthesis. Our results highlight the importance of integrating multiple axes of differentiation such as flowering phenology and floral similarity into our understanding of the drivers of plant–pollinator network structure.