Temporal scale-dependence of plant-pollinator networks

The study of mutualistic interaction networks has led to valuable insights into ecological and evolutionary processes. However, our understanding of network structure may depend upon the temporal scale at which we sample and analyze network data. To date, we lack a comprehensive assessment of the temporal scale-dependence of network structure across a wide range of temporal scales and geographic locations. If network structure is temporally scale-dependent, networks constructed over different temporal scales may provide very different perspectives on the structure and composition of species interactions. Furthermore, it remains unclear how various factors—including species richness, species turnover, link rewiring, and sampling effort—act in concert to shape network structure across different temporal scales. To address these issues, we used a large database of temporally-resolved plant-pollinator networks to investigate how temporal aggregation from the scale of one day to multiple yea...

互利共生交互网络（mutualistic interaction networks）的相关研究，已为生态学与进化生物学过程提供了诸多极具价值的洞见。然而，我们对网络结构的认知，或许会因采样与分析网络数据所采用的时间尺度而异。迄今为止，学界仍缺乏针对跨多时间尺度、多地理区域的网络结构时间尺度依赖性的系统性评估。倘若网络结构确实存在时间尺度依赖性，那么基于不同时间尺度构建的网络，对物种交互的结构与组成的阐释可能会大相径庭。此外，目前仍不清楚物种丰富度、物种更替、交互重连（link rewiring）以及采样强度（sampling effort）等诸多因素，如何在不同时间尺度下协同塑造网络结构。为解决上述问题，本研究依托一套大型时间分辨率明确的植物-传粉者交互网络数据库，探究从单日尺度到多年尺度的时间聚合效应对网络结构的影响……