Descripción
Registros
Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 122 registros.
también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es TotalEnergies. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 30ca25d8-fce4-4d1f-ae3f-c0650826f84e. TotalEnergies publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF France.
Palabras clave
Samplingevent; TotalEnergies; TEEPSA; Block 5/6/7; South Africa; EBS; 2022; Marine Mammal; Benthic; Zooplankton; phytoplankton
Contactos
- Originador
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- Punto De Contacto
- Environmental Coordinator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- Usuario
- 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 límite | Latitud Mínima Longitud Mínima [-90, -180], Latitud Máxima Longitud Máxima [90, 180] |
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Cobertura taxonómica
N/A
| Reino | Animalia |
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| Filo | Chordata |
| Class | Mammalia |
| Orden | Testudines, Cetartiodactyla |
| Familia | Balaenopteridae, Delphinidae, Physeteridae, Cheloniidae |
Cobertura temporal
| Fecha Inicial / Fecha Final | 2022-11-09 / 2022-11-26 |
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Datos del proyecto
No hay descripción disponible
| Título | Environmental Baseline Study, Block 567 South Africa – 2022 – TotalEnergies E&P South Africa (TEEPSA) |
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| Fuentes de Financiación | 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. |
| Descripción del diseño | 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 |
Metadatos adicionales
| Identificadores alternativos | https://ipt.gbif.fr/resource?r=block-567-2022 |
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