Descrição
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.
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 133 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:
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
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: 532acf89-7c3d-4d81-ba15-e5eaa8aba39c. 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; Ukraine; Kakhovka dam; Kakhovka reservoir; recovery; plans; herbs; flora; succession; biodiversity; Observation
Contatos
- Originador
- Originador
- Originador
- Provedor Dos Metadados ●
- Originador ●
- Ponto De Contato
- Originador
- Originador
- Custódio De Dados
Cobertura Geográfica
The dataset covers the territory of former Kakhovka reservoir and sorrounding areas in Dnipropertovsk administrative region of Ukraine.
Coordenadas delimitadoras | Sul Oeste [47,55, 33,923], Norte Leste [47,566, 33,936] |
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Cobertura Taxonômica
The dataset consists of records of plants.
Reino | Plantae |
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Filo | Tracheophyta |
Class | Liliopsida, Magnoliopsida |
Cobertura Temporal
Data Inicial / Data final | 2023-07-21 / 2023-12-07 |
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Métodos de Amostragem
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.
Área de Estudo | 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. |
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Controle de Qualidade | The authors are fully responsible for the accuracy and quality of data provided within the dataset. |
Descrição dos passos do método:
- 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.
Metadados Adicionais
Identificadores alternativos | 532acf89-7c3d-4d81-ba15-e5eaa8aba39c |
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https://ukraine.ipt.gbif.no/resource?r=kakhovkareservoirrecoverbiodiversity1 |