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Checklist of non-native freshwater fishes in Flanders, Belgium
Citation
Verreycken H, Belpaire C, Adriaens T, Desmet P, Reyserhove L (2023). Checklist of non-native freshwater fishes in Flanders, Belgium. Version 1.5. Research Institute for Nature and Forest (INBO). Checklist dataset. https://doi.org/10.15468/xvuzfh

Access data
Archived data
Availability: CC0 To the extent possible under law, the person who associated CC0 with this dataset has waived all copyright and related or neighboring rights to this dataset.

Description
The Checklist of non-native freshwater fishes in Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 23 alien fish species occurring in Flemish natural and semi-natural waterbodies, detected in sampling between 1992 and 2006. more

This species checklist was assessed within the framework of the Freshwater Fish Monitoring Network by Verreycken et al. (2007) and reassessed for Verreycken et al. (2018). Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, kingdom, and stable taxon identifier (in the taxon core), the Dutch and English vernacular name (in the vernacular names extension), the year of first introduction and last assessment in Flanders (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension) and the pathway(s) of introduction, native range(s), and invasion stage in Flanders (in the description extension). The dataset can be used for researching and managing aquatic invasions or compiling regional and national registries of alien species. Issues with the dataset can be reported at: https://github.com/trias-project/alien-fishes-checklist
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the 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.
Geographic coverage: This checklist covers alien fish species found in natural and semi-natural waterbodies in Flanders (northern Belgium). Sampling for these species occurred between 1992 and 2016 at 1.426 sites characterized as lacustrine or riverine habitats, including head streams, tributaries, canals, disconnected river meanders, water retaining basins, ponds, and lakes. All sampling sites are located in Flanders and are part of the drainage of the rivers Yser, Scheldt and Meuse.
Taxonomic coverage: In total, 25 non-native freshwater fishes have been collected in Flanders of which four are very common, five common and sixteen rare to extremely rare. Most alien fishes belong to the Cypriniformes (36%) and Perciformes (25%), followed by Siluriformes and Acipenseriformes (both 12%) and Salmoniformes and Esociformes (both 4%) (Verreycken et al. 2018).

Scope
Themes:
Biology > Fish
Keywords:
Fresh water, Checklists, Introduced species, Belgium, Flanders, Actinopterygii

Geographical coverage
Belgium, Flanders [Marine Regions]

Temporal coverage
1 January 1992 - 31 December 2017

Taxonomic coverage
Actinopterygii [WoRMS]

Parameter
Occurrence of biota

Contributors
Vlaamse overheid; Beleidsdomein Omgeving; Instituut voor Natuur- en Bosonderzoek (INBO), moredata creator

Dataset status: Completed
Data type: Data
Data origin: Data collection
Metadatarecord created: 2018-11-29
Information last updated: 2023-10-16
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy