InvaCost Damage Cost:Management Expenditure Ratio
National-level assessement of the drivers of invasive-species costs (ratio of damage costs:management expenditure & rate of ratio change) based on socio-economic traits of countries (cost data derived from the InvaCost database)
Prof Corey J. A. Bradshaw
Global Ecology | Partuyarta Ngadluku Wardli Kuu, Flinders University, Adelaide, Australia
April 2023
contributors: Phil Hulme, Emma Hudgins, Brian Leung, Melina Kourantidou, Pierre Courtois, Anna Turbelin, Shana McDermott, Katie Lee, Danish Ahmed, Guillaume Latombe, Alok Bang, Thomas Bodey, Phillip Haubrock, Frédérik Saltré, Franck Courchamp
Accompanies paper:
Bradshaw, CJA, PE Hulme, EJ Hudgins, B Leung, M Kourantidou, P Courtois, AJ Turbelin, SM McDermott, K Lee, DA Ahmed, G Latombe, A Bang, TW Bodey, PJ Haubrock, F Saltré, F Courchamp. Weaker economies experience higher relative damage costs arising from biological invasions (in review)
Scripts
ntlScaleCostDiffInvaCostgithub.R
: main R code for analysisnew_lmer_AIC_tables3.R
: source code for information-theoretic algorithmsr.squared.R
: source code for calculating goodness-of-fit for linear models (including mixed-effects models)
Data
- GDPpc.csv: per capita gross domestic product by country (source: World Bank)
- CPI.csv: corruption perception index (source: Transparency International)
- govexpedu.csv: government expenditure on all education (% of GDP; source: World Bank)
- faoag.csv: value added proportion of GDP from agriculture, fisheries, and forestry (source: Food and Agriculture Organization of the United Nations)
- GHSI2022.csv: global health security index (source: Global Health Security Index)
- pcAgrLand.csv: % land surface area devoted to agriculture (source: World Bank)
- importGS.csv: imports of goods and services (source: World Bank)
- stjarticles.csv: scientific & technical journal articles (source: World Bank)
- pop2021.csv: 2021 national population size (source: World Bank)
- continent.countryINVACOST.csv & fao.cntry.code.csv are code files for merging countries and regions across different datasets
Required R packages
invacost
lme4
dismo
gbm
boot
VIM
mice
performance
sjPlot
rworldmap
rgeos
SpatialEpi
nlme
rcompanion