Data for "Distribution drivers in a globally invasive plant: climate dominates at large scales, human presence at local scales"

LIST OF FILES SCRIPTS main_analyses.R Contains most of the analyses reported in the paper, specifically those based on the roadside survey data. This includes analyses of lupine occurrence at three different spatial scales and habitat suitability mapping. The climate ordination analysis of global occurrence data is also included here. pointsample_analyses.R Analyses of the point-sampled lupine population dataset, including results on lupine size, spread distance, and population density, as well as soil sample analyses. dataset_prep.R Curation and processing of the predictor dataset used in the occurrence models and habitat suitability mapping. References to the original data sources used here can be found in Table 1 in the paper. This script generates maintable_presabs_50m.tsv, maintable_patchfill.tsv and lupvars_50m.tif. variable_importance.R Loops for the permutation approach used to assess variable importance in the lupine occurrence models. MAIN DATA TABLES maintable_presabs_50m.tsv Input data for the lupine occupancy models: lupine presence-absence in 50meter grid squares, with environmental predictor variables extracted for each grid square. See dataset_prep.R for details on how this file was generated. maintable_patchfill.tsv Input data for the lupine patch filling models: number of lupine-occupied 20-meter patches per 200-meter segment (this variable here called “abundance”). Environmental predictors have been extracted for the center of each 200-meter segment. See dataset_prep.R for details on how this file was generated. RASTER FILES lupvars_50m.tif Stacked raster of the predictor variables used for the lupine occurrence models and habitat suitability mapping. See dataset_prep.R for details on how this file was generated. RAW DATA TABLES rawdata_presabs_20m.zip Directory of separate lupine survey data for each of the 73 road transects. Lupine occurrence has been scored in 20-meter patches of roadside, with coordinates assigned to the center of each 20-meter patch. rawdata_presabs.csv Full survey dataset (all transects), as above, combined into one file. rawdata_patchfill.tsv Full survey dataset (all transects) converted into 200-meter road segments, with the number of lupine-occupied 20-meter patches for each segment (this variable here called “abundance”). Unlike maintable_patchfill, segments containing zero lupines are also included here. rawdata_pointsampledpops.tsv Data for the 152 point-sampled roadside populations of L. polyphyllus. Includes data on population density, habitat type and distance from road, as well as several variables that were not analyzed in this publication. rawdata_pointsampledsizes.tsv Size data for individual lupines within each point-sampled population. Also includes leaf size data, which were not analyzed in this publication. Note that although leaf size appears on the same row as height for convenience, they were actually measured in different lupines in the same population (leaf size for the three largest vegetative individuals; height for the three tallest flowering individuals). rawdata_soil.tsv Soil characteristics for the 152 point-sampled populations, plus two sets of controls: a large set of randomly placed controls (two per transect; labeled “A”), and a small set of paired control samples (labeled “C”) taken just outside the corresponding lupine population. GBIF_Lpoly_240905.csv GBIF download containing iNaturalist observations of L. polyphyllus globally. See paper for details and GBIF accession reference. ACCESSORY FILES perm_occ_across.tsv Ten runs of the permutation loop used to assess variable importance in the analysis of lupine occupancy across transects. perm_occ_within.tsv Variable importance runs for occupancy within transects. perm_patchfill_all.tsv Variable importance runs for patch filling within transects. perm_popdens.tsv Variable importance runs for population density (% lupine cover). pDLA.tsv Table of lambda values for the iSDM analysis of the degree of dispersal limitation. sweborder_lowres_wgs84.rds Vector file of Swedish borders. sweborder_lowres_ Vector file of Swedish borders, including county borders. wgs84_counties.rds