Description
The database contains a list of species of animals, plants and fungi, that were recorded by the author in the Sumskyj district and occasionally other nearby districts in Sumy region during 2022.
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 488 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:
Parkhomenko V (2023): Records of fauna and flora of Sumskyj district of Sumy region in 2022. v1.1. Ukrainian Nature Conservation Group (NGO). Dataset/Occurrence. https://ukraine.ipt.gbif.no/resource?r=sumydiversity2022&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: e3c7d0a1-b8f5-4ed8-b830-96a873c6f937. 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; Sumy; Sumskyj district; biodiversity; post-war period; deoccupied territories; animals; fauna; flora; Ukraine; 2022; Observation
Contacts
- Metadata Provider ●
- Originator ●
- Point Of Contact
- Programmer
Geographic Coverage
The dataset consists of records made within Sumy administrative region of Ukraine.
Bounding Coordinates | South West [50.099, 32.948], North East [52.376, 35.684] |
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Taxonomic Coverage
The dataset consists of records of animals (Animalia), plants (Plantae) and fungi (Fungi).
Kingdom | Animalia, Fungi, Plantae |
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Phylum | Annelida, Arthropoda, Chordata, Basidiomycota, Tracheophyta, Mollusca |
Class | Aves, Amphibia, Arachnida, Actinopterygii, Agaricomycetes, Bivalvia, Chilopoda, Clitellata, Gastropoda, Insecta, Liliopsida, Diplopoda, Magnoliopsida, Mammalia, Pinopsida, Polypodiopsida, Reptilia |
Temporal Coverage
Start Date / End Date | 2022-04-14 / 2022-11-13 |
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Project Data
The results of the project will be a backbone for establishment of new protected areas and Emerald Network sites, as well as for development of management plans for already existing protected areas. As a result, we will prepare documents for all the important sites identified and provide them directly to the Ministry of Environmental Protection of Ukraine. Our gathered data on the occurrences of protected species will facilitate the establishment of new protected areas.
Title | Open biodiversity data: serving Nature Conservation in Ukriane |
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Identifier | 34873-1 |
Funding | Rufford Foundation |
The personnel involved in the project:
- Point Of Contact
Sampling Methods
The research was conducted according to the standard methodology for the study of mammals, birds, reptiles, amphibians and insects, mainly according to the method of route records.
Study Extent | Most of the species were identified by the author. For identifying some particular species, specialists were asked by the author for clarification or assistance: murine rodents - D.S. Sokolovsky, Insecta - O.V. Vasilyuk, fish - Y.K. Kutsokon, Tortricidae - V.V. Kavurka, Mollusca - I.O. Balashov, Diptera - V.O. Korneev, plants - L.O. Ilminska and O.I. Shinder. |
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Quality Control | The author is fully responsible for the quality of data provided within the dataset. |
Method step description:
- Conducting of field research.
- Species identification and collecting of samples for further identification.
- Georeferencing.
- Organizing of the dataset according to the Darwin Core standards.
Additional Metadata
Alternative Identifiers | e3c7d0a1-b8f5-4ed8-b830-96a873c6f937 |
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https://ukraine.ipt.gbif.no/resource?r=sumydiversity2022 |