Occurrence

Invasive and neolimnetic fish species in Dnipro, Danube and some others basins (Ukraine, 2022-2023)

Latest version published by Ukrainian Nature Conservation Group (NGO) on 22 November 2023 Ukrainian Nature Conservation Group (NGO)
Publication date:
22 November 2023
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 561 records in English (19 KB) - Update frequency: unknown
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Metadata as an RTF file download in English (13 KB)

Description

The dataset consists of records of invasive and neolimnetic fish species, made in 2022-2023.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 561 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Kutsokon Y, Didenko O, Kvach Y, Shukh A, Yuryshynets V, Bekh V V, Buzevych O A, Gurbyk O, Leuskyi M V, Maksymenko M L, Marushchak O (2023). Invasive and neolimnetic fish species in Dnipro, Danube and some others basins (Ukraine, 2022-2023). Version 1.0. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=nfdu20231&v=1.0

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Ukrainian Nature Conservation Group (NGO). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 4f531f36-c229-400b-b855-4d07aee8ff14.  Ukrainian Nature Conservation Group (NGO) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Occurrence; fish; Ukraine; neolimnetic; invasive; biodiversity; Actinopterygii; ichthyofauna; water bodies; Observation

Contacts

Yuliia Kutsokon
  • Metadata Provider
  • Originator
  • Point Of Contact
senior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Oleksandr Didenko
  • Originator
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Anastasiia Shukh
  • Originator
PhD student
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Volodymyr Yuryshynets
O. A. Buzevych
  • Originator
Institute of Fisheries of the National Academy of Agrarian Sciences of Ukraine
vul. Obukhivs'ka, 135
03164 Kyiv
UA
Oleksandr Gurbyk
  • Originator
Institute of Fisheries of the National Academy of Agrarian Sciences of Ukraine
vul. Obukhivs'ka, 135
03164 Kyiv
UA
M. V. Leuskyi
  • Originator
National University of Life and Environmental Sciences of Ukraine
vul. Horihuvatskii shliakh, 19
03041 Kyiv
UA
M. L. Maksymenko
  • Originator
UA
Oleksii Marushchak
  • Custodian Steward
  • Originator
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA

Geographic Coverage

The dataset represents records from Zakarpattia, Lviv, Kyiv, Zhytomyr, Cherkasy, Dnipropetrovsk, Ivano-Frankivsk, Poltava, Kirovohrad, Mykolaiv, Khmel'nytskyi and Odesa administrative regions of Ukraine.

Bounding Coordinates South West [45.29, 22.29], North East [50.731, 34.511]

Taxonomic Coverage

Teh dataset consists of records of only fish species.

Kingdom Animalia
Phylum Chordata
Order Cypriniformes, Gasterosteiformes, Clupeiformes, Perciformes, Syngnathiformes, Gobiidae, Syngnathidae, Odontobutidae, Centrarchidae, Clupeidae, Cyprinidae, Gasterosteidae

Temporal Coverage

Start Date / End Date 2022-06-02 / 2023-10-30

Project Data

Collection of info for the presented dataset was supported by National Research Foundation of Ukraine.

Title Development of scientific backgrounds of comprehensive monitoring and threats of distribution of invasive fish species by riverine systems and transitional waters of Ukraine (based on parasite, population and genetic markers)
Identifier #2020.02/0171
Funding Project “Development of scientific backgrounds of comprehensive monitoring and threats of distribution of invasive fish species by riverine systems and transitional waters of Ukraine (based on parasite, population and genetic markers)” (#2020.02/0171; National Research Foundation of Ukraine)

The personnel involved in the project:

Yuliia Kutsokon

Sampling Methods

The material was collected during the annual monitoring of fish in the Dnipro reservoirs, as well as during research on the monitoring of alien species of fish. Standard methods of field research were used: trawling, pond nets (survey of catches by commercial fishermen), seines, fishing rods, survey of catches by amateur fishermen, collection of dead fish. The approaches and methods of fish species capturing and identification were taken from the following literature source: Movchan Y.V. (2011). Fishes of Ukraine. Kyiv: Zoloti Vorota. 444 p. (in Ukr.); Kottelat M., Freyhof J. (2007). Handbook of European freshwater fishes. Switzerland: Delemont. 646 p.

Study Extent This dataset consists of a number of points where fish species were registered on the territory of Dnipro, Danube, Southern Buh and some other rivers' basins.
Quality Control Authors are fully responsible for the quality of data provided within the dataset.

Method step description:

  1. Catching sessions during field expeditions.
  2. Species identification.
  3. Georeferencing.
  4. Collecting of supplementary materials.
  5. Organizing of the dataset according to Darwin Core standards.

Additional Metadata