RINSE - Pathways and vectors of biological invasions in Northwest Europe

Alexandra Zieritz1, Belinda Gallardo1, Simon J. Baker2, Robbert Britton3, Johan L.C.H. van Valkenburg4, Hugo Verreycken5, David Aldridge1, Peter Desmet5, Lien Reyserhove5

1 University of Cambridge, , United Kingdom; 2 Natural England, , United Kingdom; 3 Bournemouth University, , United Kingdom; 4 Netherlands Food and Consumer Product Safety Authority, , Netherlands; 5 Research Institute for Nature and Forest (INBO), , Belgium

Corresponding author(s): Alexandra Zieritz (alexandra.zieritz@cantab.net)Belinda Gallardo (galla82@hotmail.com)Simon J. BakerRobbert BrittonJohan L.C.H. van ValkenburgHugo Verreycken (hugo.verreycken@inbo.be)David Aldridge (d.aldridge@zoo.cam.ac.uk)Peter Desmet (peter.desmet@inbo.be)Lien Reyserhove (lien.reyserhove@inbo.be), Lien Reyserhove (lien.reyserhove@gmail.com)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Zieritz A, Gallardo B, Baker S J, Britton R, van Valkenburg J L, Verreycken H, Aldridge D, Desmet P, Reyserhove L (2021): RINSE - Pathways and vectors of biological invasions in Northwest Europe. v1.4. Research Institute for Nature and Forest (INBO). Dataset/Checklist. https://ipt.inbo.be/resource?r=rinse-pathways-checklist&v=1.4

Abstract

RINSE - pathways and vectors of biological invasions in Northwest Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains detailed information on 359 taxa, comprising all non-native Mollusca, Osteichthyes (bony fish), Anseriformes (wildfowl), Mammalia and all non-native, invasive Angiospermae occurring in the wild in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands). This dataset is the result of the screening of 33 national and international print and online sources by Zieritz et al. (2017, https://doi.org/10.1007/s10530-016-1278-z), where it was originally published as supplementary material (Table S2). Here it is published as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification and stable taxon identifier (in the taxon core), the country where it is established as a non-native taxon, the year of first introduction and last assessment in that specific country (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), the pathway(s) of introduction and native range(s) (in the description extension) and an overview of the consulted literature for each taxon (in the literature references extension). Issues with the dataset can be reported at: https://github.com/trias-project/rinse-pathways-checklist
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/LifeWatchINBO.
This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

Keywords: Checklist, Inventorythematic, freshwater, invasive, marine, non-native, pathways, terrestrial, Belgium, English Channel, France, Great Britain, Netherlands, TrIAS, Checklist

Project details

Project title: Tracking Invasive Alien Species (TrIAS)
Personnel: Tim Adriaens, Peter Desmet, Quentin Groom, Diederik Strubbe, Sonia Vanderhoeven
Funding: TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Study area descriptions/descriptor: Belgium
Design description: The project builds on two components: 1) The establishment of a data mobilization framework for alien species data from diverse data sources and 2) the development of data-driven procedures for risk evaluation based on risk modelling, risk mapping and risk assessment. TrIAS uses facilities from the Global Biodiversity Information Facility (GBIF, http://www.gbif.org), standards from the Biodiversity Information Standards organization (TDWG, http://www.tdwg.org) and expertise from LifeWatch INBO (http://lifewatch.inbo.be) to create and facilitate a systematic workflow. Alien species data are gathered from a large set of regional, national and international initiatives, including citizen science data, with a wide taxonomic scope from marine, terrestrial and freshwater environments. Observation data are funnelled in repeatable ways to GBIF. In parallel, a Belgian checklist of alien species is established, benefiting from various taxonomic and project-based checklists foreseen for GBIF publication.

Data published through GBIF: https://ipt.inbo.be/resource?r=rinse-pathways-checklist

Taxonomic coverage

Taxonomic ranks
Kingdom: Plantae, Animalia
Phylum: Mollusca, Chordata

Spatial coverage

General spatial coverage: The checklist covers species that are non-native in at least one of the four countries (Great Britain, France, Belgium and the Netherlands) comprising the Two Seas Programme area (https://www.interreg2seas.eu/en/content/programme-area), and includes terrestrial, marine and freshwater habitats. This region includes various geological types, ranging from Pre-Cambrian, to Carboniferous, Cretaceous and Tertiary rocks. The main river systems in the area include the Thames, Loire, Meuse and Rhine.
Coordinates: 42°19'12''N and 60°51'36''N Latitude; 8°11'60''W and 8°13'12''E Longitude 

Temporal coverage: 1600 - 2017

Methods

Method step description: 
- . 	The source data for this standardized checklist is a Word file, originally published as Table S2 in the supplementary material of Zieritz et al. (2017) (https://link.springer.com/article/10.1007/s10530-016-1278-z#SupplementaryMaterial)
- . 	This raw data file was reformatted to an Excel file to make it more machine-readable and uploaded to a GitHub repository (https://github.com/trias-project/rinse-pathways-checklist). See https://trias-project.github.io/rinse-pathways-checklist for an introduction to this repository and the mapping of this dataset.
- . 	The source references for each record, originally included in the supplementary material of Zieritz et al. (2017), were also reformatted to an Excel file and uploaded to the Github repository.
- . 	We developed an RMarkdown script to document and perform the transformation of the data to Darwin Core, which includes the following steps:
- . 	Perform some basic cleaning of the raw data and scientific names.
- . 	Generate stable and unique identifiers for each taxon (taxonID).
- . 	Create a taxon core file (http://rs.gbif.org/core/dwc_taxon.xml), with information about the higher classification.
- . 	Create a literature references extension file (http://rs.gbif.org/extension/gbif/1.0/references.xml), with information about the consulted literature for each taxon.
- . 	Create a distribution extension file (http://rs.gbif.org/extension/gbif/1.0/distribution.xml), including the cleaning and reformatting of date information.
- . 	Create a species profile extension file (http://rs.gbif.org/extension/gbif/1.0/speciesprofile.xml), with coarse habitat information.
- . 	Create a description extension file (http://rs.gbif.org/extension/gbif/1.0/description.xml), with standardized pathway of introduction (using the pathway vocabulary from the Convention on Biological Diversity (2014)) and native range (using the WGSRPD vocabulary from Brummitt (2001) where applicable).
- . 	The resulting Darwin Core data files are uploaded to the INBO IPT and documented with metadata.
- . 	The dataset is published and registered with GBIF.
Study extent description: See Zieritz et al. (2017)
Sampling description: See Zieritz et al. (2017)
Quality control description: See step description.

Datasets

Dataset description
Object name: Darwin Core Archive RINSE - Pathways and vectors of biological invasions in Northwest Europe
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt.inbo.be/archive.do?r=rinse-pathways-checklist
Publication date of data: 2021-05-11
Language: English
Licences of use: Public Domain (CC0 1.0)

Metadata language: English
Date of metadata creation: 2018-06-27
Hierarchy level: Dataset

References
Brummitt RK (2001) World Geographical Scheme for Recording Plant Distributions (Ed. 2). Published for the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) by the Hunt Institute for Botanical Documentation, Carnegie Mellon University, Pittsburgh. http://grassworld.myspecies.info/sites/grassworld.myspecies.info/files/tdwg_geo2.pdf
Convention on Biological Diversity (2014) Pathways of introduction of invasive species, their prioritization and management. UNEP/CBD/SBSTTA/18/9/Add.1. Secretariat of the Convention on Biological Diversity, Montreal. https://www.cbd.int/doc/meetings/sbstta/sbstta-18/official/sbstta-18-09-add1-en.pdf
Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Prévot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414. https://doi.org/10.3897/rio.3.e13414
Zieritz A, Gallardo B, Baker SJ, Britton RJ, van Valkenburg JLCH, Verreycken H, Aldridge DC (2017) Changes in pathways and vectors of biological invasions in Northwest Europe. Biological Invasions 19: 1. https://doi.org/10.1007/s10530-016-1278-z