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Building a data-driven framework to inform policy

Building a data-driven framework to inform policy

Presenting TrIAS project focussing on its technical aspects during 2nd Dahlem-type workshop of International Joint Initiative of LifeWatch ERIC.
Location: Rome
Datum: 2/6-12-2019

Damiano Oldoni

December 02, 2019
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  1. Building a data-driven framework to inform policy
    Damiano Oldoni, Peter Desmet, Lien Reyserhove, Sonia
    Vanderhoeven, Tim Adriaens, Diederik Strubbe, Amy
    Davis, Quentin Groom

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  2. Valuable decision support tools to inform invasive alien
    species (IAS) policy
    ➔ Information Systems
    ➔ Early warning initiatives
    ➔ Risk assessment protocols
    Once upon a time in Belgium ...

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  3. Information system : ias.biodiversity.be

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  4. Early warning initiatives :
    www.observations.be
    www.waarnemingen.be

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  5. Risk assessment protocols

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  6. But ….
    Large diversity of actors
    Fragmented data sources

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  7. E.g. in Flanders

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  8. E.g. in Flanders

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  9. But ….
    Slow workflow from observation to science and policy
    Taxonomic, spatial and time limitation
    Large diversity of actors
    Fragmented data sources
    Closed data sources

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  10. Timely evidence
    Automated workflow
    Transparency
    Standardization
    Reusability
    Sustainability
    What we needed ….

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  11. The TrIAS-ycle

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  12. • Checklists
    • Citizen science
    • Specimens
    • Public authorities
    1. Data

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  13. 1. Data
    Checklists
    Occurrence
    sources

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  14. • Standardize authoritative checklists
    mapping to DwC:
    • open, repeatable, customizable,
    documented
    • List published checklist
    • Mapping examples
    1. Checklist data

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  15. • Workflow
    1. extract of all Belgian non-native taxa
    2. unify taxonomy and related
    information
    • Open, repeatable, customizable,
    documented
    • Global Register of Introduced and
    Invasive Species - Belgium
    1. Unify checklist

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  16. • Unlock
    • Standardize
    • Publish
    • Do it open, repeatable, customizable,
    documented
    • List occurrence datasets
    1. Occurrence data

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  17. 2. Indicators
    • Checklist indicators
    • Data cube
    • Occurrence indicators

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  18. 2. Indicators: checklist indicators
    • Number of new introductions per year
    • Cumulative number of introductions
    per year
    • Pathways of introduction

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  19. 2. Indicators: data cube
    DATACUBE
    BELGIUM
    year
    taxa
    cell
    • 1x1km2 cells
    • Occurrence data from GBIF
    • Taxa from unified checklist

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  20. 2. Indicators: occurrence indicators
    • Emerging species
    detection
    • Emerging species:
    species increasing in
    number and/or
    distribution in Belgium

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  21. 2. Indicators: occurrence indicators

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  22. 3. Analysis
    • Risk mapping
    • Risk assessment

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  23. 3. Analysis: workflow
    • Develop global scale climate-only
    species distribution models (SDMs)
    • Generate European level SDMs
    • Forecast species distributions under
    climate change scenarios

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  24. 3. Analysis
    • Risk mapping
    • Risk assessment

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  25. 4. Communication

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  26. (technical) lessons learned from TrIAS

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  27. • Contribute improving existing
    software: GBIF download API, rgbif
    package...
    • Make part of a bigger community
    called TDWG.
    • Check this issue about VRE
    Community

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  28. Everything you do… do it:
    • open
    • repeatable
    • customizable
    • documented
    Philosophy

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  29. oscibio.inbo.be/

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