Checklist of non-native freshwater fishes in Flanders, Belgium

チェックリスト
最新バージョン Research Institute for Nature and Forest (INBO) により出版 7月 23, 2024 Research Institute for Nature and Forest (INBO)
公開日:
2024年7月23日
ライセンス:
CC0 1.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 34 レコード English で (15 KB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (29 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (19 KB)

説明

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 34 non-native fish species occurring in Flemish natural and semi-natural waterbodies, detected in sampling between 1992 and 2024. 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. (2024). 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 non-native 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.

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.

データ レコード

この チェックリスト リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、34 レコードが含まれています。

拡張データ テーブルは4 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Taxon (コア)
34
Distribution 
68
VernacularName 
68
Description 
35
SpeciesProfile 
34

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Verreycken H, Adriaens T, Desmet P, Reyserhove L, Verhelst P, Govaert S (2024). Checklist of non-native freshwater fishes in Flanders, Belgium. Version 1.6. Research Institute for Nature and Forest (INBO). Checklist dataset. https://doi.org/10.15468/xvuzfh

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Research Institute for Nature and Forest (INBO)。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 98940a79-2bf1-46e6-afd6-ba2e85a26f9fが割り当てられています。   Belgian Biodiversity Platform によって承認されたデータ パブリッシャーとして GBIF に登録されているResearch Institute for Nature and Forest (INBO) が、このリソースをパブリッシュしました。

キーワード

Checklist; Inventorythematic; alien species; non-native species; fishes; Flanders; Belgium; TrIAS; Checklist

連絡先

Hugo Verreycken
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
  • Researcher
Research Institute for Nature and Forest (INBO)
BE
Tim Adriaens
  • 最初のデータ採集者
  • Researcher
Research Institute for Nature and Forest (INBO)
BE
Peter Desmet
  • メタデータ提供者
  • 最初のデータ採集者
  • Open data coordinator
Research Institute for Nature and Forest (INBO)
BE
Lien Reyserhove
  • メタデータ提供者
  • 最初のデータ採集者
  • Data Publisher
Research Institute for Nature and Forest (INBO)
BE
Pieterjan Verhelst
  • 最初のデータ採集者
Research Institute for Nature and Forest (INBO)
BE
Sanne Govaert
  • メタデータ提供者
  • 最初のデータ採集者
Research Institute for Nature and Forest (INBO)
BE

地理的範囲

This checklist covers non-native fish species found in natural and semi-natural waterbodies in Flanders (northern Belgium).

座標(緯度経度) 南 西 [50.67, 2.53], 北 東 [51.51, 5.94]

生物分類学的範囲

In total, this dataset includes 30+ non-native freshwater fishes., 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).

Kingdom Animalia (animals)
Phylum Chordata
Class Actinopterygii (ray-finned fishes)

時間的範囲

開始日 / 終了日 1201-01-01 / 2024-06-30

プロジェクトデータ

Imagine a future where dynamically, from year to year, we can track the progression of alien species (AS), 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. By using international biodiversity standards and facilities, we would ensure interoperability, repeatability and sustainability. This would make the process adaptable to future requirements in an evolving IAS policy landscape both locally and internationally. The project Tracking Invasive Alien Species (TrIAS) aims to do this for Belgium. For a full project description, see Vanderhoeven et al. (2017, https://doi.org/10.3897/rio.3.e13414).

タイトル Tracking Invasive Alien Species (TrIAS)
識別子 TrIAS
ファンデイング TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Study Area Description Belgium.
研究の意図、目的、背景など(デザイン) 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.

プロジェクトに携わる要員:

Tim Adriaens
Peter Desmet
Quentin Groom
Diederik Strubbe
Sonia Vanderhoeven

収集方法

See Verreycken et al. (2024). The data for this checklist are curated from several sources: literature, citizen science portals, firsthand accounts and own records.

Study Extent See Verreycken et al. (2024). The checklist incorporates all records of alien fresh-water fishes observed in the wild in Flanders, Belgium. Both established species and casual records were included.
Quality Control All records are individually validated by species experts (resource creators of this dataset) based on data sources and available information. Unreliable records lacking details were omitted from the dataset. See step description.

Method step description:

  1. The source data for this standardized checklist is a Google Spreadsheet and re-uploaded regularly at https://docs.google.com/spreadsheets/d/1LeXXbry2ArK2rngsmFjz_xErwE1KwQ8ujtvHNmTVA6E/edit?gid=1963824857#gid=1963824857
  2. This raw data file was uploaded to a GitHub repository (https://github.com/trias-project/alien-fishes-checklist). See https://trias-project.github.io/alien-fishes-checklist for an introduction to this repository and the mapping of this dataset.
  3. We developed a RMarkdown script to document and perform the transformation of the data to Darwin Core, which includes the following steps:
  4. Perform some basic data cleaning of the raw data.
  5. Generate stable and unique identifiers for each taxon (taxonID).
  6. Create a taxon core file (http://rs.gbif.org/core/dwc_taxon.xml).
  7. Create a vernacular names extension file (http://rs.gbif.org/extension/gbif/1.0/vernacularname.xml) with Dutch and English names.
  8. Create a distribution extension file (http://rs.gbif.org/extension/gbif/1.0/distribution.xml), including standardization of the distribution date range.
  9. Create a species profile extension file (http://rs.gbif.org/extension/gbif/1.0/speciesprofile.xml), with coarse habitat information.
  10. 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)), native range (using the WGSRPD vocabulary from Brummitt (2001) where applicable), and invasion stage (based on Blackburn et al. (2011)).
  11. The resulting Darwin Core data files are uploaded to the INBO IPT and documented with metadata.
  12. The dataset is published and registered with GBIF.

書誌情報の引用

  1. Blackburn TM, Pysek P, Bacher S, Carlton JT, Duncan RP, Jarosik V, Wilson JRU & Richardson DM (2011) A proposed unified framework for biological invasions. Trends in Ecology and Evolution 26: 333-339. https://doi.org/10.1016/j.tree.2011.03.023
  2. 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
  3. 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
  4. 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
  5. Verreycken H, Anseeuw D, Van Thuyne G, Quataert P & Belpaire C (2007) The non-indigenous freshwater fishes of Flanders (Belgium): review, status and trends over the last decade. Journal of Fish Biology 71: 160-172. https://doi.org/10.1111/j.1095-8649.2007.01679.x
  6. Verreycken H, Maesele R. & Adriaens T (2024) The non-native freshwater fish fauna of Flanders (Belgium) with emphasis on the recent rapid range expansion of non-native Gobiids. Manuscript in preparation.

追加のメタデータ

代替識別子 98940a79-2bf1-46e6-afd6-ba2e85a26f9f
https://ipt.inbo.be/resource?r=alien-fishes-checklist