Records of herpetofauna made in 2023 by Marushchak O. Yu. and Nekrasova O. D.

出現紀錄
最新版本 published by Ukrainian Nature Conservation Group (NGO) on 10月 10, 2023 Ukrainian Nature Conservation Group (NGO)
發布日期:
2023年10月10日
授權條款:
CC-BY 4.0

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 703 紀錄 在 English 中 (24 KB) - 更新頻率: 有可能更新,但不確知何時
元數據EML檔 下載 在 English 中 (22 KB)
元數據RTF文字檔 下載 在 English 中 (14 KB)

說明

The dataset shows information on records of various representatives of native and invasive herpetofauna species registered on the territory of Ukraine by two scientists - O. Yu. Marushchak and O. D. Nekrasova during field research. 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, Khmel'nytsky and Kyiv regions of Ukraine. The dataset shows records of both rare species, such as those listed in Red Data Book of Ukraine or in other lists of species strictly protected within European Union (e.g. Emys orbicularis - European pond turtle) and common species which can be found easier and in bigger quantities and wider set of habitats.

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 703 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, Nekrasova O (2023). Records of herpetofauna made in 2023 by Marushchak O. Yu. and Nekrasova O. D.. Version 1.1. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=marushchakherpeto2023&v=1.1

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: 2779845a-d580-45dd-991c-aa4e972574b8。  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; Ukraine; herpetofauna; rare species; amphibians; reptiles; snakes; lizards; frogs; newts; 2023; biodiversity; field research; Observation

聯絡資訊

Oleksii Marushchak
  • 元數據提供者
  • 託管人
  • 出處
  • 連絡人
junior researcher
Université de Strasbourg, CNRS, IPHC UMR 7178
Vul. B. Khmelnytskogo, 1
Kyiv
UA
+380964882670
Oksana Nekrasova
  • 出處
leading researcher
Université de Strasbourg, CNRS, IPHC UMR 7178
Vul. B. Khmelnytskogo, 1
Strasbourg
FR

地理涵蓋範圍

The dataset covers territory of Kyiv, Zhytomyr, Zakarpattia, Lviv and Khmel'nyts'ky administrative regions of Ukraine.

界定座標範圍 緯度南界 經度西界 [47.606, 22.126], 緯度北界 經度東界 [52.429, 33.486]

分類群涵蓋範圍

The dataset consists of records of amphibians (Amphibia class, Anura & Caudata orders) and reptiles (according to Backbone taxonomy, Squamata & Testudines classes).

Kingdom Animalia
Phylum Chordata
Class Amphibia, Squamata, Testudines
Order Anura, Caudata
Family Colubridae, Viperidae, Lacertidae, Anguidae, Emydidae, Bufonidae, Ranidae, Hylidae, Pelobatidae, Bombinatoridae, Salamandridae

時間涵蓋範圍

起始日期 / 結束日期 2023-03-19 / 2023-09-30

計畫資料

Emys-R will analyze all resources available from past and present programs of wetlands restoration and Emys reintroduction throughout Europe, and test original methods based on social and ecological sciences, and adaptive management, to define the most effective, socially supported, methods of wetland restoration in favor of the Emys reintroduction and associated biodiversity throughout Europe, to be implemented in future homologous conservation measures.

計畫名稱 Emys-R
經費來源 Emys-R is funded through the 2020-2021 Biodiversa & Water JPI joint call for research proposals, under the BiodivRestore ERA-Net COFUND programme, and with the funding organisations Agence Nationale de la Recherche (ANR, France), Bundesministerium für Bildung und Forschung (BMBF, Germany), State Education Development Agency (VIAA, Latvia), and National Science Center (NSC, Poland).
研究區域描述 Emys-R is a 3-year participatory action-oriented research project based on seminal theories in humanities, social and natural sciences. It consolidates an existing international network of researchers and stakeholders to share complementary knowledge and expertise on past, present and future wetlands, biodiversity and management.

參與計畫的人員:

Oleksii Marushchak

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 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.

研究範圍 The dataset represents information on records of herpetofauna made during field season from March to September 2023.
品質控管 The authors are fully responsible for the quality and accuracy of data provided within the published dataset.

方法步驟描述:

  1. Conducting field trips.
  2. Manual catching of individuals or taking photos from distance or taking photos from third parties which is enough for species identification.
  3. Identification of species based on the available data and known key features.
  4. Georeferencing.
  5. Organizing of the dataset according to Darwin Core standards.

額外的詮釋資料

替代的識別碼 2779845a-d580-45dd-991c-aa4e972574b8
https://ukraine.ipt.gbif.no/resource?r=marushchakherpeto2023