Monitoring the restoration of natural vegetation at the site of the former Kakhovka reservoir

DwC ファイルとしてのデータ	ダウンロード 133 レコード English で (8 KB) - 更新頻度: unknown
EML ファイルとしてのメタデータ	ダウンロード English で (16 KB)
RTF ファイルとしてのメタデータ	ダウンロード English で (13 KB)

説明

The dataset contains data on 42 taxa of flora that will be restored on the site of the former Kakhovka reservoir in 2023 on the territory of the right-bank floodplain of the Dnipro River in the vicinity of the village of Maryanske, Dniporpetrovsk region. The source for the study consisted of 22 video materials, made on different dates, in which the authors of the channel "Nature of the Kakhovka Reservoir" (https://www.youtube.com/@NovaPriroda_KV/) publicize changes in the vegetation of the territory that was previously the bottom of the reservoir.

データレコード

このオカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータテーブルとして生物多様性データを共有するための標準化された形式であるダーウィンコアアーカイブ (DwC-A) として公開されています。コアデータテーブルには、133 レコードが含まれています。

この IPT はデータをアーカイブし、データリポジトリとして機能します。データとリソースのメタデータは、ダウンロードセクションからダウンロードできます。バージョンテーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Chusova O, Moysiyenko I, Pashkevych N, Vasyliuk O, Temchenko Y, Vasheniak I (2024). Monitoring the restoration of natural vegetation at the site of the former Kakhovka reservoir. Version 1.1. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=kakhovkareservoirrecoverbiodiversity1&v=1.1

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Ukrainian Nature Conservation Group (NGO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 532acf89-7c3d-4d81-ba15-e5eaa8aba39cが割り当てられています。 Participant Node Managers Committee によって承認されたデータパブリッシャーとして GBIF に登録されているUkrainian Nature Conservation Group (NGO) が、このリソースをパブリッシュしました。

キーワード

Occurrence; Ukraine; Kakhovka dam; Kakhovka reservoir; recovery; plans; herbs; flora; succession; biodiversity; Observation

連絡先

Olha Chusova

最初のデータ採集者

M.G. Kholodny Institute of Botany of the National Academy of Sciences of Ukraine

Kyiv

Ivan Moysiyenko

最初のデータ採集者

Department of Botany, Kherson State University

Ivano-Frankivsk

Natalia Pashkevych

最初のデータ採集者

Institute for evolutionary ecology of the National academy of sciences of Ukraine

Kyiv

Olexiy Vasyliuk

メタデータ提供者 ●
最初のデータ採集者 ●
連絡先

junior researcher

I. I. Schmalhausen Institute of Zoology NAS of Ukraine

Vul. B. Khmelnytskogo, 15

01030 Kyiv

vasyliuk@gmail.com

Ye.A. Temchenko

最初のデータ採集者

Ukrainian Nature Conservation Group

Iuliia Vasheniak

最初のデータ採集者

Professor (Associate)

Vasyl' Stus Donetsk National University

Vinnytsia

vasheniakiuliia@gmail.com

Oleksii Marushchak

Custodiansteward(保管者）

junior researcher

I. I. Schmalhausen Institute of Zoology NAS of Ukraine

Vul. B. Khmelnytskogo, 15

01030 Kyiv

ecopelobates@gmail.com

+380964882670

https://orcid.org/0000-0001-9380-5593

地理的範囲

The dataset covers the territory of former Kakhovka reservoir and sorrounding areas in Dnipropertovsk administrative region of Ukraine.

座標（緯度経度）	南西 [47.55, 33.923], 北東 [47.566, 33.936]

生物分類学的範囲

The dataset consists of records of plants.

Kingdom	Plantae
Phylum	Tracheophyta
Class	Liliopsida, Magnoliopsida

時間的範囲

開始日 / 終了日	2023-07-21 / 2023-12-07

収集方法

Identification of plant taxa was carried out according to diagnostic features that can be determined while watching video materials. Definitions were carried out by 4 independent experts, in case of disagreement in the definition of taxa, data on the highest jointly determined taxonomic rank was entered into the database. In case of doubt about the correctness of the definition, the taxon was marked as cf (from the Latin confer – "compare"). Open source intelligence (OSINT) analytical techniques were used to determine the coordinates of the shooting locations of each of the video materials, which allow to determine the location of the video shooting location by calculating distances and angles between visible landmarks, comparing with satellite images of the landscape at the time of video capture, etc.

Study Extent	The dataset contains data on 42 taxa of flora that will be restored on the site of the former Kakhovka Reservoir in 2023 on the territory of the right-bank floodplain of the Dnipro River in the vicinity of the village of Maryanske, Dniporpetrovsk region, Ukraine. It should be recognized that despite the incredibly important monitoring work carried out by the authors of the YouTube channel, they work incognito and the analysis of the material they collected had to be done after the fact, based on the materials of the videos they made public.
Quality Control	The authors are fully responsible for the accuracy and quality of data provided within the dataset.

Study Extent

The dataset contains data on 42 taxa of flora that will be restored on the site of the former Kakhovka Reservoir in 2023 on the territory of the right-bank floodplain of the Dnipro River in the vicinity of the village of Maryanske, Dniporpetrovsk region, Ukraine. It should be recognized that despite the incredibly important monitoring work carried out by the authors of the YouTube channel, they work incognito and the analysis of the material they collected had to be done after the fact, based on the materials of the videos they made public.

Quality Control

The authors are fully responsible for the accuracy and quality of data provided within the dataset.

Method step description:

Visual identification of species to certain taxonomic level.
Mutual agreement on the results of identification.
Georeferencing.
Organising of dataset according to the Darwin Core standards.

追加のメタデータ

代替識別子	532acf89-7c3d-4d81-ba15-e5eaa8aba39c
	https://ukraine.ipt.gbif.no/resource?r=kakhovkareservoirrecoverbiodiversity1