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

Olha Chusova1, Ivan Moysiyenko2, Natalia Pashkevych3, Olexiy Vasyliuk4, Ye.A. Temchenko5, Iuliia Vasheniak6, Oleksii Marushchak4

1 M.G. Kholodny Institute of Botany of the National Academy of Sciences of Ukraine, Kyiv, Ukraine; 2 Department of Botany, Kherson State University, Ivano-Frankivsk, Ukraine; 3 Institute for evolutionary ecology of the National academy of sciences of Ukraine, Kyiv, Ukraine; 4 I. I. Schmalhausen Institute of Zoology NAS of Ukraine, Vul. B. Khmelnytskogo, 15, 01030, Kyiv, Ukraine; 5 Ukrainian Nature Conservation Group, , Ukraine; 6 Vasyl' Stus Donetsk National University, Vinnytsia, Ukraine

Corresponding author(s): Olha ChusovaIvan MoysiyenkoNatalia PashkevychOlexiy Vasyliuk (vasyliuk@gmail.com)Ye.A. TemchenkoIuliia Vasheniak (vasheniakiuliia@gmail.com)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

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

Abstract

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.

Keywords: Occurrence, Ukraine, Kakhovka dam, Kakhovka reservoir, recovery, plans, herbs, flora, succession, biodiversity, Observation

Data published through GBIF: https://ukraine.ipt.gbif.no/resource?r=kakhovkareservoirrecoverbiodiversity1

Taxonomic coverage

General taxonomic coverage description: The dataset consists of records of plants.
Taxonomic ranks
Kingdom: Plantae
Phylum: Tracheophyta
Class: Liliopsida, Magnoliopsida

Spatial coverage

General spatial coverage: The dataset covers the territory of former Kakhovka reservoir and sorrounding areas in Dnipropertovsk administrative region of Ukraine.
Coordinates: 47°32'58.46''N and 47°33'56.21''N Latitude; 33°55'23.19''E and 33°56'11.15''E Longitude 

Temporal coverage: July 21, 2023 - December 7, 2023

Methods

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.
Study extent description: 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.
Sampling description: 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.
Quality control description: The authors are fully responsible for the accuracy and quality of data provided within the dataset.

Datasets

Dataset description
Object name: Darwin Core Archive Monitoring the restoration of natural vegetation at the site of the former Kakhovka reservoir
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ukraine.ipt.gbif.no/archive.do?r=kakhovkareservoirrecoverbiodiversity1
Publication date of data: 2024-03-03
Language: English
Licences of use: Creative Commons Attribution (CC-BY 4.0) License

Metadata language: English
Date of metadata creation: 2024-03-03
Hierarchy level: Dataset