Records of common ukrainian herpetofauna species for which the infestation with helminths was studied in 2021-2023

出現紀錄
最新版本 published by Ukrainian Nature Conservation Group (NGO) on 9月 13, 2023 Ukrainian Nature Conservation Group (NGO)
發布日期:
2023年9月13日
授權條款:
CC-BY 4.0

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說明

The dataset consists of records of common herpetofauna species of Ukraine, for which the infestation with different endoparasitic organisms (helminths) was studied in 2021-2023. This dataset is an addition to another dataset ("Particular records of helminths from common species of herpetofauna of Ukraine") that represents the finds of helminths species and was created in order to provide additional information for scientific studies. In particular it shows also those individuals that appeared to be helminths-free and provides more information on intensivity and extensivity of parasitic invasions. For every host the list of helminths found inside, is mentioned.

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 205 筆紀錄。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Marushchak O, Svitin R, Syrota Y, Kuzmin Y, Dmytrieva I, Nechai A, Lisitsyna O (2023). Records of common ukrainian herpetofauna species for which the infestation with helminths was studied in 2021-2023. Version 1.0. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=helminthshostsherp1&v=1.0

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Ukrainian Nature Conservation Group (NGO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: ae513258-b799-4447-9b2c-128c74616ea2。  Ukrainian Nature Conservation Group (NGO) 發佈此資源,並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence; herpetofauna; common fauna; amphibians; reptiles; helminths hosts; biodiversity; hosts; Ukraine; Observation

聯絡資訊

Oleksii Marushchak
  • 元數據提供者
  • 託管人
  • 出處
  • 連絡人
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
+380964882670
Roman Svitin
  • 出處
researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Yaroslav Syrota
  • 出處
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Yurii Kuzmin
  • 出處
leading researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Ivanna Dmytrieva
  • 出處
leading engineer
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
Andrii Nechai
  • 出處
student
Educational Scientific Institute of High Technologies Taras Shevchenko National University of Kyiv
UA
Olga Lisitsyna
  • 出處
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA

地理涵蓋範圍

The dataset covers the territory of Ukraine (Zakarpattia, Lviv, Ivano-Frankivs'k, Odesa, Vinnytsia, Zhytomyr, Kyiv, Poltava, Cherkasy, Zaporizhzhia administrative regions), that was available for conducting field research and material collection during the full-scale war started by Russia against Ukraine.

界定座標範圍 緯度南界 經度西界 [44.34, 22.104], 緯度北界 經度東界 [52.402, 40.21]

分類群涵蓋範圍

The dataset consists of 205 individuals belonging to 15 species (8 amphibians and 7 reptiles) of herpetofauna of Ukraine.

Kingdom Animalia
Phylum Chordata
Class Amphibia, Squamata, Testudines
Order Anura, Caudata

時間涵蓋範圍

彙整期間 2021/2023

計畫資料

The aims of the projects include: - collecting material from the maximum possible number of species of amphibians and reptiles from different regions of Ukraine; - identifying the collected types of parasites using light microscopy methods; - obtain the genetic sequences of the most widely used nuclear (18S) and mitochondrial (soh1).

計畫名稱 Creating of genetic base of helminths from common species of amphibians and reptiles from the territory of Ukraine
辨識碼 29/02-2022(4)
經費來源 The project is funded by National Academy of Sciences of Ukraine and is done in the I. I. Schmalhausen institute of zoology NAS of Ukraine.
研究區域描述 The projects covers the entire territory of Ukraine and includes the invasive study of communities of helminth presented in the target studied species of herpetofauna.
研究設計描述 The projects is designed by young scientists.

參與計畫的人員:

Yaroslav Syrota

取樣方法

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 visualizing 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). For further studies, the animals were brought alive to the laboratory complex of I. I. Schmalhausen Institute of Zoology, NAS of Ukraine, Kyiv, Ukraine, where the further study of helminths took place. No special permits were needed for such work and collecting of common species of reptiles and amphibians.

研究範圍 The dataset represents information on records of herpetofauna representatives that were studied as hosts of different helminths during 2021-2023.
品質控管 The authors are fully responsible for the quality of the dataset and accuracy of information shown in it. The first author is a skillful herpetologist with more than 10 years of work experience.

方法步驟描述:

  1. Conducting of field surveys and trips in search for representatives of native herpetofauna.
  2. Collecting of information from other local residents on the presence of certain species.
  3. Collecting of living specimens along with visual species identification.
  4. Georeferencing.
  5. Putting of the information in the digital table designed in MS Excel.
  6. Organizing of a dataset according to DarwinCore standards.

額外的詮釋資料