Occurrence

Faunistic and floristic records in the Kharkiv and some other regions in 2022 — 2023 period and some earlier years

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 8,239 records in English (275 KB) - Update frequency: unknown
Metadata as an EML file download in English (20 KB)
Metadata as an RTF file download in English (13 KB)

Description

Data from the registration of flora and fauna species that took place within the Kharkiv as well as from Donetsk, Zaporizhzhia, Cherkasy administrative regions of Ukraine and Autonomous Republic of Crimea are presented in this dataset. A detailed description of biotopes is given, for migratory and introduced species the relevant status is mentioned. The dataset contains information on the number and density of the local populations or the number of individuals that were observed. Information on the latest and first registrations of migratory birds, active individuals of amphibians and reptiles, as well as imago stages of insects within the Kharkiv region is provided. Where possible, information subspecies taxonomic status is given. For particular records information about certain color variations (morphs), which is relevant for the sand lizard (Lacerta agilis), some diurnal butterflies, birds (owls (Strigiformes), diurnal birds of prey (Falconiformes, Accipitriformes)) is given.

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 8,239 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:

Viter S (2023). Faunistic and floristic records in the Kharkiv and some other regions in 2022 — 2023 period and some earlier years. Version 1.1. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=viterflorafauna1&v=1.1

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: a27f4565-5040-49c3-b5c5-10a05ad98c9d.  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; Kharkiv; Ukraine; biodiversity; animals; flora; plants; fauna; registrations; Observation

Contacts

Stanislav Viter
  • Metadata Provider
  • Originator
  • Point Of Contact
naturalist
Ukrainian Nature Conservation Group
Kharkiv
UA
Oleksii Marushchak
  • Custodian Steward
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
+380964882670

Geographic Coverage

The dataset consists of records mainly from Kharkiv administrative region of Ukraine. Several records are added from Cherkasy, Donetsk, Zaporizhzhia administrative regions and Autonomous republich of Crimea made in the beginning of the 2nd decade of XXI century by the author.

Bounding Coordinates South West [45.256, 31.488], North East [50.083, 37.946]

Taxonomic Coverage

The dataset consists of records mainly of animals (kingdom: Animalia), but some records of easily-identified plants (kingdom: Plantae) and fungi (kingdom: Fungi) are also presented.

Kingdom Animalia, Plantae, Fungi
Phylum Chordata, Arthropoda, Annelida, Tracheophyta, Basidiomycota, Ascomycota, Mollusca
Class Pezizomycetes, Gastropoda, Clitellata, Agaricomycetes, Insecta, Arachnida, Chilopoda, Aves, Squamata, Mammalia, Amphibia, Testudines, Liliopsida, Magnoliopsida

Temporal Coverage

Start Date / End Date 2002-05-26 / 2023-11-16

Sampling Methods

When conducting the research the author mainly used the method of route counts of birds, amphibians, reptiles, etc with subsequent visual identification. Insects were observed in places of concentration: trees with flowing sap, flowering plants, areas of sandy soil, puddles (waterholes). All animals and plants were identified to the level of species (in rare cases - to the level of subspecies). Georeferencing was made using the smarthphone GPS-navigators.

Study Extent The research was conducted in Ukraine Ukraine: Kharkiv region, central, northern, southern and southwestern and southeastern districts - within the following physiographic regions: Kharkiv highland forest-steppe region, East Poltava highland forest-steppe region, Oryl'-Samara lowland steppe region and Zadonetsk - Don steppe region (Starobilsk slope-upland region). Particular records from Cherkasy, Donetsk, Zaporizhzhia regions and Autonomous Republic of Crimea. Time of main research conducted is 2022 — 2023. Particular records from earlier years are also included. Biotopes, habitats and landscapes studied, include: upland oak forests, forest-steppe and steppe forests, grass and herbaceous steppes, dry and floodplain meadows, floodplain swamps (reed, cattail, sedge, alder swamp groves) and forests (oak, willow-poplar forests, stands of Acer negundo), thickets, swamps and lakes 3 — 4 terraces of the river valley, settlements, fields and fallows.
Quality Control The author is fully responsible for the quality of data provided whitin the dataset.

Method step description:

  1. Conducting of field expeditions.
  2. Species/subspecies identification.
  3. Georeferencing.
  4. Organizing of the dataset according to Darwin Core standards.

Additional Metadata