Описание
Записи данных
Данные этого sampling event ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 122 записей.
Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.
Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.
Версии
В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.
Права
Исследователи должны соблюдать следующие права:
Публикующей организацией и владельцем прав на данную работу является TotalEnergies. Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).
Регистрация в GBIF
Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 30ca25d8-fce4-4d1f-ae3f-c0650826f84e. TotalEnergies отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF France.
Ключевые слова
Samplingevent; TotalEnergies; TEEPSA; Block 5/6/7; South Africa; EBS; 2022; Marine Mammal; Benthic; Zooplankton; phytoplankton
Контакты
- Originator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- Point Of Contact
- Environmental Coordinator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue
- +27210034060
- User
- Biodiversity Coordinator
- 3rd Floor – Tygervalley Chambers 2 27 Willie Van Schoor Avenue, Bellville 7530 -– South Africa
- +27210034060
Географический охват
Multiblock Regional, Environmental Baseline Survey, Block 567, South Africa.
| Ограничивающие координаты | Юг Запад [-90, -180], Север Восток [90, 180] |
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Таксономический охват
N/A
| Kingdom | Animalia |
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| Phylum | Chordata |
| Class | Mammalia |
| Order | Testudines, Cetartiodactyla |
| Family | Balaenopteridae, Delphinidae, Physeteridae, Cheloniidae |
Временной охват
| Дата начала / Дата окончания | 2022-11-09 / 2022-11-26 |
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Данные проекта
Описание отсутсвует
| Название | Environmental Baseline Study, Block 567 South Africa – 2022 – TotalEnergies E&P South Africa (TEEPSA) |
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| Финансирование | 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. |
| Описание плана выполнения исследований | 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 |
Дополнительные метаданные
| Альтернативные идентификаторы | https://ipt.gbif.fr/resource?r=block-567-2022 |
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