Dataframe from: Diversity of European habitat types is correlated with geography more than climate and human pressure

Marco Cervellini, Michele Di Musciano, Piero Zannini, Simone Fattorini, Borja Jiménez-Alfaro, Emiliano Agrillo, Fabio Attorre, Pierangela Angelini, Carl Beierkuhnlein, Laura Casella, Richard Field, Jan-Christopher Fischer, Piero Genovesi, Samuel Hoffmann, Severin D.H. Irl, Juri Nascimbene, Duccio Rocchini, Manuel Steinbauer, Ole R. Vetaas & Alessandro Chiarucci
We generated this dataframe to model EU habitat richness at continental scale as a function of geographical, climate and anthropogenic variables (please, see Material and Method section in the published paper version for all the details). We found geographical variables were by far the most strongly correlated with habitat richness, followed by climate. However, anthropogenic variables gained importance when consindering their interactions, with important implications for conservation planning.
2 citations reported since publication in 2021.
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