Data from: The temporal dimension in individual-based plant pollination networks

The pollination success of animal-pollinated plants depends on the
temporal coupling between flowering schedules and pollinator availability.
Within a population, individual plants exhibiting disparate flowering
schedules will be exposed to different pollinators when the latter exhibit
temporal turnover. The temporal overlap between individual plants and
pollinators will result in a turnover of interactions, which can be
analyzed through a network approach. We have explored the temporal
dynamics of individual-based plant networks resulting from pairwise
similarities in pollinator composition. During two flowering seasons, we
surveyed the phenology and pollinator fauna of the individual plants from
a population of Erysimum mediohispanicum (Brassicaceae). We analyzed the
topology of these networks by means of their modularity, clustering, and
core–periphery structure. These metrics are related to network functional
properties such as cohesion, transitivity and centralization respectively.
Afterwards, we analyzed the influence of each pollinator functional group
on network topology. We found that network topology varied widely over
time as a consequence of the differences in plant phenology and the
idiosyncratic and contextual effect of pollinators. When integrating all
temporary networks, the network became cohesive (non modular), transitive
(locally clusterized), and centralized (core–periphery topology). These
topologies could entail important consequences for plant reproduction. Our
results highlight the importance of considering the entire flowering
season and the necessity of making comprehensive temporal sampling when
trying to build reliable interaction networks.