Intensive arable farming calls for resilient wild bee restoration amid severe abundance fluctuations

Intensive arable farming calls for resilient wild bee restoration amid severe abundance fluctuations Code and data supporting the manuscript “Intensive arable farming calls for resilient wild bee restoration amid severe abundance fluctuations”. The repository contains cleaned datasets, R scripts for all statistical analyses, and code to reproduce figures and appendix results. Repository contents Appendix S1 – Intensive arable farming calls for resilient wild bee restoration amid severe abundance fluctuationsSupplementary material accompanying the manuscript, including extended methods, additional analyses, and supplementary figures. WFF_Pantrap_survey_2020_2023_Abu_sp_num_data.csvTrap-level wild bee abundance and species richness data used for the GLMM analyses. WFF_Pantrap_survey_2020_2023_Community_data.csvLandscape-plot-level wild bee community composition data used for PERMANOVA and NMDS analyses. WFF_Pantrap_survey_2020_2023_Environment_data.csvLandscape-plot-level environmental and experimental variables associated with the community composition analyses. Input.zipZipped input data files required to reproduce the analyses. Models_Abundance_and_Sp_num.RCore statistical analyses for wild bee abundance and species richness models. PERMANOVA_and_NMDS.RR script implementing the PERMANOVA and NMDS analyses of wild bee community composition. Custom_functions_and_themes.RUser-defined helper functions and ggplot2 themes used across analyses and figure generation. MS_Figures.RR script to reproduce all main-text figures. MS_inline_information.RR script generating inline numerical results reported in the manuscript text. Misc_info_MS.RAdditional helper objects and manuscript-specific metadata. elsevier-harvard.cslCitation style file used for reference formatting.references.bibBibTeX file containing all literature references cited in the manuscript and supplementary materials. Output.zipModel objects, intermediate results, and derived outputs.This file is too large to be hosted, but can be downloaded from HERE or requested from the corresponding author (piross.sandor@ecolres.hu).