Descrição
The dataset shows information on records of various representatives of native and invasive (e.g. Trachemys scripta) herpetofauna species registered on the territory of Ukraine by Ukrainian herpetologists: Marushchak O., Nekrasova O., Smirnov N., Mykytynets G., Shorokhov O., Shevchuk V. and number of other volunteers, who contributed their data. Occasional records, when identified to the level of species were also included. Some records, made by third parties, but provided with date, photo and coordinates of location were also added to the table, since they make their contribution to collecting of data on herpetoculture distribution during the war, when the opportunities of field reearch are limited. The dataset represents records from Zakarpattia, Lviv, Zhytomyr, Rivne, Khmel'nytsky, Cherkasy, Kirovohrad, Odesa, Chernivtsi, Ternopil, Ivano-Frankivsk and Kyiv regions of Ukraine. The dataset shows records of species, that are not listed in Red Data Book of Ukraine, but are included to other lists of species strictly protected within European Union (e.g. Emys orbicularis - European pond turtle, n=57 records - species of high importance in term of protection in Europe) and common species which can be found easier and in bigger quantities and wider set of habitats.
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 1.004 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:
Marushchak O, Nekrasova O, Smirnov N, Mykytynets G, Shorokhov O, Shevchuk V, Zinkovskyi A, Lavrenchuk I, Havrychenko M, Georges J (2024). Some records of common herpetofauna species made by Ukrainian herpetologists during 2024 field season in Ukraine. Version 1.0. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=recordsofherpetofaunaukraine2024&v=1.0
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: 4234996e-e41a-4563-9e93-46a63b0e9c22. 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; herpetofauna; Ukraine; biodiversity; common species; conservation; vertebrates; amphibians; reptiles; snakes; lizards; frogs; toads; newts; vipers; cold-blooded creatures; Observation
Contatos
- Custódio De Dados
https://orcid.org/0000-0001-9380-5593
- Originador
- Originador
- Originador
- Originador
- Originador
- Originador
- Originador
- Originador
- Custódio De Dados
Cobertura Geográfica
The dataset shows records of herpetofauna from Zakarpattia, Lviv, Zhytomyr, Rivne, Khmel'nytsky, Cherkasy, Kirovohrad, Odesa, Chernivtsi, Ternopil, Ivano-Frankivsk and Kyiv administrative regions of Ukraine.
| Coordenadas delimitadoras | Sul Oeste [46,362, 22,661], Norte Leste [50,949, 31,64] |
|---|
Cobertura Taxonômica
The dataset consists of records of amphibians (Anura, Caudata) and reptiles (Squamata, Testudines).
| Reino | Animalia |
|---|---|
| Filo | Chordata |
| Class | Amphibia, Squamata, Testudines |
| Ordem | Anura, Caudata |
| Família | Salamandridae, Bufonidae, Ranidae, Pelobatidae, Hylidae, Bombinatoridae, Lacertidae, Colubridae, Anguidae, Viperidae, Emydidae |
Cobertura Temporal
| Data Inicial / Data final | 2024-02-24 / 2024-11-02 |
|---|
Dados Sobre o Projeto
Emys-R is a 3-year participatory transdisciplinary action-oriented research project based on seminal theories in humanities, social and natural sciences. It consolidates an existing international network of researchers and stakeholders from France, Germany, Latvia, Poland and Ukraine to share complementary knowledge and expertise on past, present and future wetlands, biodiversity and management. It aims at defining the most effective, socially-supported, ecological methods of wetland restoration in favour of the reintroduction of the European pond turtle Emys orbicularis, and for its associated biodiversity throughout Europe, based on all resources available from past and present programs of wetlands restoration and Emys reintroduction throughout Europe and long term monitoring on three study sites in France, Germany and Latvia.
| Título | Emys-R |
|---|---|
| Financiamento | Emys-R (https://emysr.cnrs.fr) is funded through the 2020-2021 Biodiversa+ and Water JPI joint call for research projects, under the BiodivRestore ERA-NET Cofund (GA N°101003777), with the EU and the funding organizations Agence Nationale de la Recherche (ANR, France, grant ANR-21-BIRE-0005), Bundesministerium für Bildung und Forschung (BMBF, Germany, grant 16LW015), the State Education Development Agency (VIAA, Latvia, grant ES RTD/2022/2), and the National Science Center (NSC, Poland, grant 2021/03/Y/NZ8/00101). |
| Descrição da Área de Estudo | Emys-R operates on three study sites where EU-funded programs of wetland restoration and Emys reintroduction took place: France (Woerr, Lauterbourg), Germany (Neuburg am Rhein) and Latvia (Lake Sitas region, Silene). These sites show contrasting biophysical and socio-ecological contexts, providing ideal case studies to assess the common and specific processes involved in the ecological and sociological success of such conservation actions. |
| Descrição do Design | The collection of data became possible thanks to the support of Emys-R project. |
O pessoal envolvido no projeto:
Métodos de Amostragem
Animals were caught manually during the peaks of activity of amphibians or reptiles (mainly from 7:00 to 11:00 am and from 5:00 to 11:00 pm). Catching of amphibians and reptiles wa performed using a net, fishing rod, fishing traps, a hook or by hand. For georeferencing of the records, the points of herpetofauna registrations were collected (with the indication of latitude 00.00000 N and longitude 00.00000 E) using the field off-line orientation program MAPS.ME (version 12.0.1-Google) and Google Earth Pro (Earth version 7.3.3). Visualization of records and creation of maps was carried out in the QGIS program (v.2.181, QGIS Development Team, 2016. QGIS Geographic Information System. Open Source Geospatial Foundation. URL http://qgis.org).The species identification was carried out using methodological materials (Bannikov and Darevsky, 1977; Nekrasova and Morozov-Leonov, 2001; Kuzmin, 2012). No special permits were needed for such work and collecting of common species of reptiles and amphibians. Those records obtained from third parties consisted of: several good quality photos, location, additional information and date. All animals that were spotted - were released at the place of capturing after all needed information was collected.
| Área de Estudo | The dataset represents information on records of herpetofauna made during field season from February to November 2024. |
|---|---|
| Controle de Qualidade | The authors are fully responsible for the quality and accuracy of data provided within the published dataset. |
Descrição dos passos do método:
- Conducting field trips and expeditions.
- Manual catching of individuals or taking photos from distance or taking photos from third parties which is enough for species identification.
- Finding of other signs that would helpto identify the species: audial signal, remnants, shed skin, dead bodies etc.
- Checking of the traps and artificially constructed shelters.
- Identification of species based on the available data and known key features.
- Georeferencing.
- Organizing of the dataset according to Darwin Core standards.
Metadados Adicionais
| Identificadores alternativos | https://ukraine.ipt.gbif.no/resource?r=recordsofherpetofaunaukraine2024 |
|---|