DOI: 10.5061/dryad.1qq64
title: Data from:Corruption, development and governance indicators predict invasive species risk from trade

description: Invasive species have an enormous global impact, with international trade
 being the leading pathway for their introduction. Current multinational
 trade deals under negotiation will dramatically change trading
 partnerships and pathways. These changes have considerable potential to
 influence biological invasions and global biodiversity. Using a database
 of 47 328 interceptions spanning 10 years, we demonstrate how development
 and governance socio-economic indicators of trading partners can predict
 exotic species interceptions. For import pathways associated with
 vegetable material, a significantly higher risk of exotic species
 interceptions was associated with countries that are poorly regulated,
 have more forest cover and have surprisingly low corruption. Corruption
 and indicators such as political stability or adherence to rule of law
 were important in vehicle or timber import pathways. These results will be
 of considerable value to policy makers, primarily by shifting quarantine
 procedures to focus on countries of high risk based on their
 socio-economic status. Further, using New Zealand as an example, we
 demonstrate how a ninefold reduction in incursions could be achieved if
 socio-economic indicators were used to select trade partners.
 International trade deals that ignore governance and development
 indicators may facilitate introductions and biodiversity loss. Development
 and governance within countries clearly have biodiversity implications
 beyond borders.
description: Interception data for
 "Corruption, development and governance indicators predict invasive
 species risk from trade"This data file contains
 three sheets - "Vegetable Pathway", "Timber Pathway"
 and "Vehicle Pathway". Details on pathways are described in the
 ESM of the main manuscript. Governance indicator scores were obtained from
 the World Bank World Governance Indicators (WGI) database
 (www.govindicators.org) Development indicator scores were obtained from
 the World Bank Development Indicators database
 (http://data.worldbank.org/indicator) The meanings of the columns within
 each sheet are as follows: Country: Country of commodity origin Year: Year
 in which interception of non-native species occurred Total trade: Total
 trade in the selected pathway. Pathways are described in the ESM of the
 main manuscript. Total detections: Total detections in the defined pathway
 each year G_voice: Governance indicator of Voice and Accountability
 G_stability: Governance indicator of Political Stability and Freedom from
 Violence G_effective: Governance indicator of Government Effectivenss
 G_regulator: Governance indicator of Regulatory Quality G_law: Governance
 indicator of Rule of Law G_corruption: Governance indicator of Control of
 Corruption D_agri: Development indicator of Agricultural land (% of land
 area) D_export: Development indicator of Exports of goods and services (%
 of GDP) D_forest: Development indicator of Forest area (% of forest area)
 D_GDP: Development indicator of Gross domestic product These Governance
 and Development indicator scores are further described in Table 1 of the
 main manuscript. Ministry for Primary Industries New Zealand's
 Ministry for Primary Industries provided access to the data on an ‘as is’
 basis. MPI does not warrant as to the quality, accuracy or completeness of
 the data. MPI or any original data creator does not accept liability for
 any damages, whether direct or indirect, resulting from the use of the
 data. The data were obtained from the Data Analysis Team's (Analysis
 and Profiling Group, Border Standards Directorate, MAFBNZ)
 "Interception Database" and the MAF Quantum Database. Data
 includes only border interceptions.FULL
 DATASET.xlsx