Descrição
Registros de Dados
Os dados deste recurso de evento de amostragem 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 122 registros.
Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.
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.
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é TotalEnergies. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 30ca25d8-fce4-4d1f-ae3f-c0650826f84e. TotalEnergies publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF France.
Palavras-chave
Samplingevent; TotalEnergies; TEEPSA; Block 5/6/7; South Africa; EBS; 2022; Marine Mammal; Benthic; Zooplankton; phytoplankton
Contatos
- Originador
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- Ponto De Contato
- Environmental Coordinator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- Usuário
- Biodiversity Coordinator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue, Bellville 7530 -– South Africa
- +27210034060
Cobertura Geográfica
Multiblock Regional, Environmental Baseline Survey, Block 567, South Africa.
| Coordenadas delimitadoras | Sul Oeste [-90, -180], Norte Leste [90, 180] |
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Cobertura Taxonômica
N/A
| Reino | Animalia |
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| Filo | Chordata |
| Class | Mammalia |
| Ordem | Testudines, Cetartiodactyla |
| Família | Balaenopteridae, Delphinidae, Physeteridae, Cheloniidae |
Cobertura Temporal
| Data Inicial / Data final | 2022-11-09 / 2022-11-26 |
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Dados Sobre o Projeto
Nenhuma descrição disponível
| Título | Environmental Baseline Study, Block 567 South Africa – 2022 – TotalEnergies E&P South Africa (TEEPSA) |
|---|---|
| Financiamento | TotalEnergies E&P South Africa (TEEPSA) contracted Benthic Solutions Limited (BSL) for the provision of an Environmental Baseline Study (EBS) within Block 5/6/7 located off the southwest coast of South Africa. |
| Descrição do Design | Methodology
Marine mammal :
The survey included opportunistic observations of marine megafauna by marine mammal observations (MMO) and passive accoustic monitoring (PAM).
Benthic macrofauna :
49 stations was sampled with a 0.25 m^2 Grey O’Hara box corer at Block 5/6/7 in South Africa for the Environmental Baseline Study by TotalEnergies E&P South Africa (TEEPSA). Infauna were subsambled by a small frame, comprising an area of 0.1m^2. Station depths ranged between 677 to 3115 meters. Sediment Particle Size analyses undertaken for each sampling event.
Zooplancton & phytoplancton :
Planktonic organisms were collected at 5 stations in the block 5/6/7, located between the Benguela current and the Agulhas current, in close proximity to the southern Benguela upwelling ecosystem. At each sampling station, a net with a mesh of 50 µm and another with a mesh of 200 µm were deployed vertically, from 100 m depth to the surface to collect plankton. Samples collected with the 50 µm net were fixed with lugol (2 % final concentration) and analysed using a Flowcan, while samples collected with the 200 µm net were fixed with formol (4 % final concentration) and analysed using a Zooscan. The Flowcam and Zooscan are imagery devices that are used to get pictures of plankton organisms as well as morphometric measurements. Pictures of the organisms were then uploaded on the Ecotaxa platform to get identified by a machine learning algorithm first before being validated by experts in plankton taxonomy. (https://ecotaxa.obs-vlfr.fr/) and sorted by experts into taxonomical taxa. Only living planktonic organisms were kept, therefore the “non-living”, “detritus”, “dead”, “seaweed” categories were removed. Non-identified objects labelled as “othertocheck”, “duplicate”, “multiple” were also removed from the dataset. The “egg” category was also subsided from the analysis since net sampling is not the most suitable way to efficiently collect plankton eggs.
Abundances of the organisms were estimated based on the number of pictures collected and the volume of water filtered by the nets during sampling to obtain a number of individuals m-3 for large organisms collected with the 200 µm net, and individuals or cells L-1 for smaller ones collected with the 50 µm net. However, before abundances were computed, the category “part”, that corresponds to parts of damaged organisms, was removed from the dataset to avoid any overestimation. The same principle was also applied for specific organisms that can easily be damaged and are routinely identified in distinct parts categories. For instance, Appendicularia, which are fragile organisms that can easily be damaged during sampling, were often identified from parts, notably the head, the tail, or the trunk (the head with a part of the tail). To avoid overestimation of their abundances, only the category “tail |
Metadados Adicionais
| Identificadores alternativos | https://ipt.gbif.fr/resource?r=block-567-2022 |
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