Code and data for: Landscape of Damage: How rookeries and landscape composition shape crop depredation risk

Code and data for: Landscape of Damage: How rookeries and landscape composition shape crop depredation risk Reproducibility data for the manuscript "Landscape of Damage: How rookeries and landscape composition shape crop depredation risk", contains data and R script used in the main analysis. Study aim This study aims to (i) test whether farmer-reported bird damage to spring crops (maize and sunflower) matches field-measured damage, (ii) quantify how rook colony locations differ from random sites in terms of urban, arable, and forest cover, and assess how colony placement relates to crop damage, and (iii) determine how local short-sward availability (sown grassland leys) and the broader urban-forest context predict bird damage across 0.5-3 km landscape buffers in an agro-urban Swiss landscape. Data Description damagedata.csv csv file containing the IDs of the 25 monitored fields, their locations (longitude, latitude), crop type (sunflower/maize), the proportion of damaged plants (field-measured), and farmers’ damage estimates. colonies.zip shp files of rook colonies around the 25 monitored fields, including their locations (longitude, latitude). parcelles.zip shp file of the monitored fields, including their IDs, crop type, area (ha), and locations (longitude, latitude). clc_raster.tif GeoTIFF raster of CORINE Land Cover 2018. damage_colonies.csv csv file containing field IDs, the proportion of damaged plants, the number of crow nests (including the number of occupied nests), and the number of rook colonies, with the size of each colony (number of nests) when multiple colonies are present, all computed within a 3 km buffer around each field. all_fields_500.csv, all_fields_1.csv, all_fields_3.csv, all_fields_5.csv csv files containing field IDs (25 monitored fields and 50 survey fields), crop type, location, sowing date, and proportion of damaged plants, as well as landscape metrics around each field: land-use classes at three aggregation levels, alternative resource areas (cultivated maize and sunflower, grasslands and pastures), the total length of Small Woody Features, and hedgerow area, computed within 500 m, 1 km, 3 km, and 5 km buffers, respectively. Code rookeries.R R script following the structure of the Results section: (i) Bird damage: farmer and field estimates, which compares farmer-reported and field-measured damage, (ii) Rook colonies’ habitat and link with damage, and (iii) Landscape of damage, which fits landscape-scale models of bird damage across 0.5-3 km buffers. Across these sections, the script calibrates the models reported in the manuscript, estimates effects, performs pairwise comparisons of estimated parameters, and generates the associated summaries and figures.