Early Alert Tool & Workflows for Detecting and Prioritising IAS

Slides of the presentation given during the online General Assembly of the GuardIAS project.

Transcript

1. Early Alert Tool & Workflows for Detecting and Prioritising Emerging IAS Damiano Oldoni (INBO) 11-05-2026 https://bit.ly/emergingIAS
2. Early Alert Tool: new features Homepage. Better, nicer user interface: filters on the left ⬅; pages and options on top ⬆ bit.ly/demo-alert
3. Early Alert Tool: new features Hompage. Filter on type of occurrernces (DwC: basisOfRecord) bit.ly/demo-alert
4. Early Alert Tool: new features Homepage. Filter on time: - Select by Date “from … to …” added - Shortcuts “Last month”, “Last year” added to the bars bit.ly/demo-alert
5. Early Alert Tool: new features Hompeage. Filter on verification status (DwC term: identificationVerificationStatus) bit.ly/demo-alert
6. Early Alert Tool: new features Hompeage. Basic summary statistics added: - Number of occurrences - Number of species - Number of datasets bit.ly/demo-alert
7. Early Alert Tool: new features Navigation bar options. Toggle Scientific names vs Vernacular names: cleaner interface bit.ly/demo-alert
8. Early Alert Tool: new features My Alerts page. Nicer overview bit.ly/demo-alert
9. Early Alert Tool: new features Alerts. “close to” and “inside or close to” options added bit.ly/demo-alert
10. Early Alert Tool: new features Alerts. “close to” and “inside or close to” options added bit.ly/demo-alert Standard, old option NEW NEW
11. Early Alert Tool: technical requirements document Technical Requirement Document is ready 🎉 Based on GuardIAS workshops (+ OneSTOP). Feedback is welcome 🔍 bit.ly/alert-specs
12. Deliverable 2.5 Workflow for detecting and prioritising emerging alien species based on species occurrence cubes almost ready. Species occurrence cubes - Aggregate GBIF occurrence data along spatial, temporal and taxonomic dimensions to create “data cubes”. - Example: calculate the #occurrences per grid cell, year, species - Concept from TrIAS project (Oldoni D & al 2020): done in R from raw occurrences. - Now a GBIF download service, with support from EU-funded B-Cubed project. - Learn more:documentation, blogpost, tutorial and webinar, tech specs. https://www.gbif.org/occurrence-cubes
13. Deliverable 2.5 Workflow for detecting and prioritising emerging alien species Cubes used in TrIAS as data inputs to detect and prioritise emerging alien species (GRIIS Belgium) trias-project.github.io/indicators/
14. Deliverable 2.5 Open science approach: apply the TrIAS workflow to marine species (LME) - Calculate #occs and #grid cells (km2) ~ year ➡ modelling ➡ emerging score at year level - Automatise the workflow: weekly https://guardias-eu.github.io/indicators
15. Deliverable 2.5 Open science approach: apply the TrIAS workflow to marine species (LME) - Calculate a total emerging score and rank species by it guardias-eu.github.io/indicators/
16. Deliverable 2.5 Open science approach: apply the TrIAS workflow to marine species (LME) - Appearing species guardias-eu.github.io/indicators/
17. Deliverable 2.5 Open science approach: apply the TrIAS workflow to marine species (LME) - Reappearing species guardias-eu.github.io/indicators/
18. Deliverable 2.5 Future improvements - Taxonomic scope: include terrestrial en freshwater species - Spatial scope: include EU countries - Research effort bias correction: add class level info (class level occurrence cubes), as in TrIAS guardias-eu.github.io/indicators/
19. Thank you Damiano Oldoni (INBO) 11-05-2026 https://bit.ly/emergingIAS