Spatial and temporal scale of analysis alter conclusions about the effects of urbanisation on plant–pollinator networks

Kit S. Prendergast, Jeff Ollerton

Research output: Contribution to JournalArticlepeer-review

Abstract

AbstractBipartite networks of flowering plants and their visitors (potential pollinators) are increasingly being used in studies of the structure and function of these ecological interactions. Whilst they hold much promise in understanding the ecology of plant–pollinator networks and how this may be altered by environmental perturbations, like land-use change and invasive species, there is no consensus about the scale at which such networks should be constructed and analysed. Ecologists, however, have emphasised that many processes are scale dependent. Here, we compare network- and species-level properties of ecological networks analysed at the level of a site, pooling across sites within a given habitat for each month of surveys, and pooling across all sites and months to create a single network per habitat type. We additionally considered how these three scales of resolution influenced conclusions regarding differences between networks according to two contrasting habitat types (urban bushland remnants and residential gardens) and the influence of honey bee abundance on network properties. We found that most network properties varied markedly depending on the scale of analysis, as did the significance, or lack thereof, of habitat type and honey bee abundance on network properties. We caution against pooling across sites and months as this can create unrealistic links, invalidating conclusions on network structure. In conclusion, consideration of scale of analysis is also important when conducting and interpreting plant–pollinator networks.
Original languageEnglish
JournalArthropod-Plant Interactions
Early online date21 Sept 2022
DOIs
Publication statusE-pub ahead of print - 21 Sept 2022

Keywords

  • Insect Science
  • Agronomy and Crop Science
  • Ecology
  • Ecology, Evolution, Behavior and Systematics

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