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Data from: Temporal scale-dependence of plant-pollinator networks

Citation

Schwarz, Benjamin et al. (2021), Data from: Temporal scale-dependence of plant-pollinator networks, Dryad, Dataset, https://doi.org/10.5061/dryad.qz612jmbp

Abstract

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 years influences network structure. In addition, we used structural equation modeling to explore the direct and indirect effects of temporal scale, species richness, species turnover, link rewiring, and sampling effort on network structural properties. We find that plant-pollinator network structure is strongly temporally-scale dependent. This general pattern arises because the temporal scale determines the degree to which temporal dynamics (i.e. phenological turnover of species and links) are included in the network, in addition to how much sampling effort is put into constructing the network. Ultimately, the temporal scale-dependence of our plant-pollinator networks appears to be mostly driven by species richness, which increases with sampling effort, and species turnover, which increases with temporal extent. In other words, after accounting for variation in species richness, network structure is increasingly shaped by its underlying temporal dynamics. Our results suggest that considering multiple temporal scales may be necessary to fully appreciate the causes and consequences of interaction network structure.

Methods

Note that plant-pollinator interaction data within this database were not sampled in the frame of this study but were derived from 30 individual data sets of plant-pollinator interaction networks from published or unpublished studies. These studies were conducted across several sites in 9 countries, ranging from tropical to arctic regions but with the majority of sites being located in temperate regions. In all data sets, species correspond to either taxonomic species or morphospecies, and each recorded interaction corresponds to an observation of an animal visiting a flower. We usually used the same sites that were described by the original studies except when the original sites represented relatively small observational plots or were observed for only part of a day. Specifically, we pooled the original sites if they were less than ~6 km apart from each other, harbored similar plant communities, and if a reasonably large proportion of them were sampled on each sampling day. We also standardized southern hemisphere dates by adding 182 days to each sampling date for each site in the southern hemisphere (affecting studies Chacoff2018, Kaiser-Bunbury2017, and Vazquez2003) to assure that the whole flowering season takes place within one single calendar year. Thus, this database may partly differ from the original data sets in terms of site classification and sampling date.

Usage Notes

For usage of the data we recommend to refer to the related studies and, wherever possible, to use the originally published data, which may provide more metadata and relevant information. In any case, if you make use of this database or part of it, please cite the related studies and data publications (listed in file OIK-07303_original_studies.xlsx).

OIK-07303_database.csv – data set containing plant-pollinator interaction data from 30 studies. For some studies code identifiers instead of species names are used for plant (column lower) and pollinator (column higher) species.

OIK-07303_original_studies.xlsx – table containing references (DOI or URL) to articles and data publications related to the data compiled in OIK-07303_database.csv.

OIK-07303_results.csv – data frame that was finally used for statistical analyses. For each aggregated network (rows) various network indices and co-variables (columns) are given.

OIK-07303_functions.R – R script containing functions that allow aggregating interaction data into networks at different temporal scales and calculating network indices and various co-variables.

OIK-07303_betalinkr.R – R script containing function betalinkr to assess species turnover and link rewiring.

OIK-07303_network_aggregation.R – R script to prepare the data from OIK-07303_database.csv for aggregating networks and to calculate network indices and co-variables, which results in a data frame identical to OIK-07303_results.csv.