Additional file 1 of Unveiling the hidden economic toll of biological invasions in the European Union
Creators: name: Henry, Morgane
name: Leung, Brian
name: Cuthbert, Ross N.
name: Bodey, Thomas W.
name: Ahmed, Danish A.
name: Angulo, Elena
name: Balzani, Paride
name: Briski, Elizabeta
name: Courchamp, Franck
name: Hulme, Philip E.
name: Kouba, Antonín
name: Kourantidou, Melina
name: Liu, Chunlong
name: Macêdo, Rafael L.
name: Oficialdegui, Francisco J.
name: Renault, David
name: Soto, Ismael
name: Tarkan, Ali Serhan
name: Turbelin, Anna J.
name: Bradshaw, Corey J. A.
name: Haubrock, Phillip J.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Ecology
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: Cancer

description: Additional file 1: Description of the sectors considered in the InvaCost database. Additional file 2: Site-level costs recorded in InvaCost for the European Union member states (a), by type of cost (b) and impacted sector (c) with and without high-leverage points and the respective projected additional cost and percent increase. Additional file 3: Detailed breakdown of the considered models included in the model averaging. Table 1: Country-level analyses. Values of the fitted parameters for each predictor combination and model performance estimated using Akaike’s information criterion (AIC). We calculated Akaike’s weights for model averaging following Burnham &amp; Anderson [57]. Table 2: Country-level analyses without high-leverage points. Values of the fitted parameters for each predictor combination and model performance estimated using Akaike’s information criterion (AIC). Model outputs for each combination of predictors. We calculated Akaike’s weights for model averaging following Burnham &amp; Anderson [57]. Table 3: Site-level analyses (A) with all data and (B) without high-leverage points. Values of the fitted parameters for each predictor combination and model performance estimated using Akaike’s information criterion (AIC). Model outputs for each combination of predictors. We calculated Akaike’s weights for model averaging following Burnham &amp; Anderson [57]. Additional file 4: Invasion costs (total costs and highly reliable, observed costs) for European Union member states recorded in InvaCost v4.1, in 2017 US$ billion. Additional file 5: Comparison of the number of established alien species in the European Union and alien species in InvaCost v4.1. Additional file 6. Established alien species of Union concern recorded among the established alien species in the European Union with the first European Union member state they were recorded in and the year of first record [48]. Additional file 7: Breakdown of interpolated costs excluding high-leverage points. Additional file 8: Country-level costs recorded in InvaCost with and without high-leverage points and the respective projected additional cost and percent increase. Additional file 9: Country-level costs recorded in InvaCost by type of cost (a) and impacted sector (b) with and without extreme values and the respective projected additional cost and percent increase. Additional file 10: Temporal projection of total annual management costs (a), recorded species per year with management costs (b), and number of reported references on management expenditure in InvaCost v4.1 per year (c) using linear (left, in blue) and quadratic (right, in orange) robust regressions and their respective confidence intervals. Solid dots and lines represent trends without the inclusion of extreme values. Open circles and dashed lines represent the respective trends when including all data (i.e., including extreme values). Grey dots present data for the period 1960–1979 that are not considered in the projection due to an absence of repeated measures of individual cost entries.