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NIS BE: GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring at the harbour of Ostend by VLIZ Citation Deneudt K., Hablutzel P., Delacauw, S. (2020) DNA-based benthic and planktonic species monitoring at the harbour of Ostend in 2020 by Flanders Marine Institute. https://marineinfo.org/id/dataset/6429 Contact: Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License. Notes: until publication Description Traditional monitoring techniques for ecosystem monitoring identifying are currently time consuming and expensive. By applying DNA-based techniques, GEANS aims to reduce time and costs, and make species identification more accurate. Pilot studies take a central role in proving these advantages. Among the pilot studies, one specifically aims for on the detection non-indigenous species (NIS), since accurate monitoring is a key prerequisite to limit the spread of NIS among harbours. Scrape samples, fouling plate samples, phytoplankton samples and zooplankton samples were taken in the the harbour of Ostend and analysed through metabarcoding and results were compared with traditional monitoring techniques in order to demonstrate the improvement of applying novel techniques. This data is the result of DNA-based spring and summer monitoring of benthic species in the framework of the GEANS NIS pilot at the harbour of Ostend by VLIZ in 2020. Scope Themes: Biology > Benthos, Biology > Plankton, Biology > Plankton > Phytoplankton, Biology > Plankton > Zooplankton Keywords: Marine/Coastal, Brackish water, Belgium, Oostende, Animalia Geographical coverage Belgium, Oostende [Marine Regions] Temporal coverage From 1 April 2020 on [In Progress] Quasi continuous (< 1 min.) Taxonomic coverage Animalia [WoRMS] Contributors Vlaams Instituut voor de Zee (VLIZ), more, data creator Related datasets Parent dataset: GEANS Data: Genetic tools for Ecosystem health Assessment in the North Sea region, more Project GEANS: Genetic Tools for Ecosystem Health Assessment in the North Sea Region, more URLs Dataset status: In Progress Data type: Data Data origin: Research: field survey Metadatarecord created: 2020-03-16 Information last updated: 2023-07-13 |