Data supporting ‘Examining honeybee (Apis mellifera) dominance patterns within urban bee communities worldwide’

DOI

The following repository contains the data and code to reproduce the figures analyses of the paper "Examining honeybee (Apis mellifera) dominance patterns within urban bee communities worldwide". It contains three datasets and one .R file


The data results from a literature review on abundance distribution of urban bee communities worldwide, aiming at obtaining studies reporting total abundances of honeybees and wildbees in a given city, and species abundances of wildbees and honeybees in a given city.


  1. Data:
  2. 20240308_cities_coords.csv: the data contains the latitude and longitude of the included cities in the study. It is used for making the world map with the cities.
  3. 20241201_proportion_HB_WB.csv: the data contains the total wild bee and honeybee abundances per city/urban aggregation, and the proportions.
  4. 20241201_rad_bees.csv: the data contains the species abundances per city/urban aggregation

  5. Script:

  6. HoneybeeDominance_Analyses_Figures.R: the script to run the analyses and make the plots. Analyses were done in R version 4.2.1, using the packages ggplot2, glmmTMB, multcomp, wesanderson, terra.
Identifier
DOI https://doi.org/10.16904/envidat.652
Metadata Access https://www.envidat.ch/api/action/package_show?id=683ed266-c67f-40db-84cd-e8599f075126
Provenance
Creator Joan, Casanelles,; Julieta, Badini,; Ana, Calviño, 0000-0002-4653-7917; Katherine, Baldock, ORCID logo; Maria Silvina, Fenoglio, 0000-0002-1416-8539; Sara D., Leonhardt,; Astrid, Neumann, 0000-0002-1736-3946; Marco, Moretti, 0000-0002-5845-3198; Bruno, Rossi-Rotondi,; Aaron, Sexton, 0000-0002-8926-3872; Juan Pablo, Torretta,; Karla, Palmieri Tavares,; Martin, Videla,; Fernando, Zamudio,; Monika, Egerer, ORCID logo
Publisher EnviDat
Publication Year 2025
Funding Reference SNF, 217754
Rights cc-by-sa; Creative Commons Attribution Share-Alike (CC-BY-SA)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (5.956W, 45.818S, 10.492E, 47.808N); Switzerland
Temporal Point 2025-05-14T00:00:00Z