Descrição
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.
Registros de Dados
Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 488 registros.
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.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
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
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é Ukrainian Nature Conservation Group (NGO). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: e3c7d0a1-b8f5-4ed8-b830-96a873c6f937. Ukrainian Nature Conservation Group (NGO) publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Participant Node Managers Committee.
Palavras-chave
Occurrence; Sumy; Sumskyj district; biodiversity; post-war period; deoccupied territories; animals; fauna; flora; Ukraine; 2022; Observation
Contatos
- Provedor Dos Metadados ●
- Originador ●
- Ponto De Contato
- Programador
Cobertura Geográfica
The dataset consists of records made within Sumy administrative region of Ukraine.
Coordenadas delimitadoras | Sul Oeste [50,099, 32,948], Norte Leste [52,376, 35,684] |
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Cobertura Taxonômica
The dataset consists of records of animals (Animalia), plants (Plantae) and fungi (Fungi).
Reino | Animalia, Fungi, Plantae |
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Filo | Annelida, Arthropoda, Chordata, Basidiomycota, Tracheophyta, Mollusca |
Class | Aves, Amphibia, Arachnida, Actinopterygii, Agaricomycetes, Bivalvia, Chilopoda, Clitellata, Gastropoda, Insecta, Liliopsida, Diplopoda, Magnoliopsida, Mammalia, Pinopsida, Polypodiopsida, Reptilia |
Cobertura Temporal
Data Inicial / Data final | 2022-04-14 / 2022-11-13 |
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Dados Sobre o Projeto
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.
Título | Open biodiversity data: serving Nature Conservation in Ukriane |
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Identificador | 34873-1 |
Financiamento | Rufford Foundation |
O pessoal envolvido no projeto:
- Ponto De Contato
Métodos de Amostragem
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.
Área de Estudo | 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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Controle de Qualidade | The author is fully responsible for the quality of data provided within the dataset. |
Descrição dos passos do método:
- Conducting of field research.
- Species identification and collecting of samples for further identification.
- Georeferencing.
- Organizing of the dataset according to the Darwin Core standards.
Metadados Adicionais
Identificadores alternativos | e3c7d0a1-b8f5-4ed8-b830-96a873c6f937 |
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https://ukraine.ipt.gbif.no/resource?r=sumydiversity2022 |