Distribution models
Species occurrence data and environmental factors (e.g., climate, land use) are used to create models predicting the potential distribution of IAS under current and future conditions. Pathway-related factors like road networks, river density, and proximity to ports help estimate propagule pressure, identifying regions at high risk for IAS introduction.
The produced distribution maps will visually illustrate IAS distributions, risks, and potential impacts across Europe, providing stakeholders with a clear and reliable tool for decision-making. The process will also assess accuracy and uncertainty, ensuring the maps effectively support IAS management and prevention efforts.
D5.1 Predicted maps of Invasive Alien Species - May 2026
Ecological models
OneSTOP is developing workflows to model the current and future distributions of terrestrial IAS in Europe. Using socio-economic and climate change scenarios, the project is predicting IAS spread and impacts up to 2050.
This modelling pipeline will assess how existing and potential IAS may expand under different climate and land-use conditions. A standardised data cleaning and preparation process will ensure models remain adaptable, allowing updates with new data or the inclusion of newly identified priority species. This approach supports proactive IAS management and risk assessment across Europe.
D5.2 A manual for the running and configuration of workflows - March 2028
Prioritisation maps
To mitigate the impact of IAS on native threatened species (i.e., those included on the European Red List), OneSTOP is creating spatio-temporal prioritisation maps to guide management actions, supporting the goal of reducing IAS impacts to EU Red List species by 50% by 2030.
European Red List species currently affected by IAS will be identified and their current and potential distributions will be mapped. Using this data, OneSTOP will create prioritisation maps to direct IAS management and policy efforts. A (semi-)automated workflow will be developed to ensure maps remain up-to-date and can be reproduced as new data becomes available or new IAS emerge, supporting effective conservation planning.
D5.4 Prioritisation maps for Red List species protection - March 2028
Prioritisation framework
OneSTOP is developing a data-driven framework to prioritise IAS in the EU. Using a flexible and scalable data cube approach, the framework will integrate three key dimensions: spatial (where species are found), temporal (when they occur), and impact (what they impact and how). Using data on species distributions, horizon scanning, and impacts on Red List species, Pilot cubes for selected species will be tested with experts and stakeholders in the Living Labs, to refine the methodology and ensure practical application.
D5.5 Prioritisation framework - June 2027
Integrating insights
To effectively transfer prioritisation information, OneSTOP is developing automated tools providing regional decision-makers with tailored IAS data through an interactive, map-based web app. This tool will deliver real-time, on-demand information on IAS priorities for any user-defined region, including current presence, predicted spread, and future impacts.
To ensure accessibility and usability, we will create automated methods to summarise relevant data into personalised reports based on taxonomic and geographic scope. These tools will support two key applications: guiding policymakers with targeted monitoring recommendations and providing local land managers with IAS information packs detailing risks, priorities, and management strategies. Monitoring priorities and information packs will be delivered through subscription-based emails and personalised web pages, ensuring practical application.
D5.6 Dissemination tools - April 2028
Horizon scanning
Horizon scanning systematically reviews data and publications to identify IAS likely to spread in specific regions in the short to medium term. OneSTOP is developing a repeatable multi-criteria analysis workflow to compile and rank species, refining results through expert collaboration.
This workflow integrates observation data from GBIF, checklist data from GRIIS, impact data and distribution model outputs to generate a prioritised list of species posing the highest invasion risk and impact for each country. It will be fully documented, with open-source software available for reuse and adaptation.
By combining systematic data collection, expert input, risk harmonisation, and regular updates, OneSTOP ensures IAS prioritisation remains dynamic and responsive to global changes.
D5.3 Manual for horizon scanning - April 2027