GBIF as a tool!

Dimitri Brosens, Quentin Groom, 
Peter Desmet, Sonia Verhoeven, 
Tim Adriaens

14th GBIF Global Nodes Meeting – Helsinki – 24-25 September

Imagine

a future where dynamically, from year to year, we can track the progression of alien species, identify emerging species, assess their current and future risk and timely inform policy in a seamless data-driven workflow.

One that is built on open science and open data infrastructures.

In recent years, Belgium has developed decision support tools to inform invasive alien species (IAS) policy

  • information systems
  • early warning initiatives
  • risk assessment protocols
  • slow

  • not easily repeatable

  • scope is often taxonomically

  • spatially and temporally limited.

Because

  •  diversity of actors involved
  • closed, fragmented nature of the sources

which leads to considerable knowledge gaps for IAS research and policy.

TrIAS will try to overcome these knowledge gaps by

  • establishment of a data mobilization framework for AS data from diverse data sources
  • the development of data-driven procedures for risk evaluation based on risk modelling, risk mapping and risk assessment.

 

TrIAS will use

  • The Open Data facility from GBIF

  • Standards from TDWG

  • Expertise from collaborators

  • Open data from other sources

To create and facilitate a systematic workflow around alien species

  • where data is gathered from regional, national and international initiatives
  • with a wide taxonomic scope
  • where observation data is published on GBIF
  • and an authoritative checklist published on GBIF

where the GBIF published data will be the main source of the data driven risk evaluation,  risk modelling, risk mapping and risk assessment.

The Data Mobilization Framework

Three Needs

  • Alien species Checklist

  • Available alien Occurrence data

  • CLimate data & future scenario's

The Belgian Alien Species Checklist --> Task 1

 collect available authoritative checklists

7 checklists

• Manual of Alien Plants (BGM, Verloove 2006, Verloove 2013)

•Harmonia information system (BBPF, Vanderhoeven et al.  2015)

• World Register of Introduced Marine Species (WRIMS) (VLIZ,  Pagad et al. 2016)

•Registry of non-native species in the Two Seas region  countries

(GB, FR, BE & NL) (RINSE) (INBO, Gallardo et al. 2013, Zieritz et al. 2014, Gallardo et al. 2016)

•Non-indigenous freshwater fish (INBO, Verreycken et al. 2007)

•Alien freshwater invertebrates (UGent, Boets et al. 2016)

• Terrestrial Mollusca (RBINS, from EASIN 2015)

 

 

Publish each authoritative checklists as DwC-A on GBIF

We follow TDWG Standards

 

We use the documentation provided by GBIF

 

We use the TOOLS provided by GBIF

 

We use EXPERTISE from INBO and BBPF

 

We Publish under CC0

UPdates -> republish

 

Data always and for all available through GBIF API

 

GBIF Taxonimic Backbone for Synonomy and ID's

 

Everything is Open Source and Open Code

--> Github

 

Repeatable validation by Belgian Forum on Invasive Species

Publicly available, documented and versioned checklist  

 

OF

 

 

ALIEN SPECIES in BELGIUM

The Belgian Alien Species Occurrences --> Task 2

Data are scattered over many different places
(or unavailable)

 

But there’s lots out there and it keeps growing every day

NGO's

  • Natuurpunt
  • Natagora

AS related project data

  • Invaxen
  • Diars
  • Inplanbel
  • Ensis
  • MEMO
  • Alien Impact

Sources of occurrence data

Regional Administrations

  • INBO
  • ILVO
  • SPW-DEMNA

Collections

  • BGM
  • RBINS
  • ...

GBIF data

Momentarily, together
these comprise the most complete & up-to-date source for alien species occurrences in Belgium

Publish each source
as an open Darwin Core Archive

We follow TDWG Standards

 

We use the documentation provided by GBIF

 

We use the TOOLS provided by GBIF

 

We use EXPERTISE from INBO and BBPF

UPdates -> republish

 

Data always and for all available through GBIF API

 

 

Everything is Open Source and Open Code

--> Github

 

https://github.com/trias-project

--> Single occurrence dataset available for the further work packages

MORE ON TrIAS

https://osf.io/7dpgr/

Thank You

@dimibro

@peterdesmet @AdriaensTim

@cabbageleek @VdhSonia

@biodiversity_be

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