Global wildlife diversity in team sport organisations

Dr Ugo Arbieu
Laboratoire Écologie, Société et Évolution, Université Paris-Saclay, Gif-sur-Yvette, France
April 2025
e-mail

Prof Corey J. A. Bradshaw
Global Ecology | Partuyarta Ngadluku Wardli Kuu, Flinders University, Adelaide, Australia
April 2025
e-mail

project lead: Ugo Arbieu
contributors: Céline Bellard, Ricardo Correia, Pierre Courtois, Enrico Di Minin, Ivan Jaric, Boris Leroy, Jessica Murfree, Madeleine Orr, Samuel Roturier, Melanie Sartore-Baldwin, Diogo Veríssimo, Franck Courchamp

Accompanies paper:

Arbieu, U, C Bellard, CJA Bradshaw, R Correia, P Courtois, E Di Minin, I Jaric, B Leroy, JR Murfree, M Orr, S Roturier, M Sartore-Baldwin, D Veríssimo, F Courchamp. 2025 Wildlife diversity in global team sport branding. BioScience In press

Scripts

• sportdivV3.R: main R code for generating figures and statistical analyses
• new_lmer_AIC_tables3.R: source code for information-theoretic algorithms
• r.squared.R: source code for calculating goodness-of-fit for linear models (including mixed-effects models)

Data

• metadat.csv: data for professional team sport leagues by country
• dat.csv: database focusing on the taxa that could be identified to species level
• localemblems.csv: species in emblems that are found in the country in question
• Tab6a_IUCN.csv: number of animal species (kingdom: Animalia) listed in each IUCN Red List Category by country
• Tab8a_IUCN.csv: total, total threatened, and total EX or EW endemic bird, mammal, reptile and amphibian species in each country for groups where > 80% of species in the group have been assessed (totals by taxonomic group) from the IUCN

Required R packages

boot, countrycode, dplyr, ggmap, ggplot2, ggpubr, ggrepel, gridExtra, Hmisc, lme4, performance, reshape2, sjPlot, tidyr, vegan