Document of dataset 6429

Dataset record

Type
Dataset
title in English
GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring at the harbour of Ostend by VLIZ
Acronym
NIS BE
Abstract in English
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.
Contactpoint
Email
pascal.hablutzel@vliz.be
License
https://spdx.org/licenses/CC-BY-4.0.html
bibliographicCitation
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.

Temporal coverage

Temporal
Start date
2020-04-01
Accrual periodicity
Continuous

Geographical coverage

Spatial
Belgium, Oostende

Themes

theme
Biology > Benthos
Biology > Plankton
Biology > Plankton > Phytoplankton
Biology > Plankton > Zooplankton

Taxonomic terms

Taxon keywords
Animalia

Ownerships

creator
Pascal Hablützel
creator
Vlaams Instituut voor de Zee
creator
Sander Delacauw
creator
Vlaams Instituut voor de Zee
creator
Klaas Deneudt
creator
Vlaams Instituut voor de Zee

Dataset references

is part of
Genetic tools for Ecosystem health Assessment in the North Sea region

Projects

was generated by
GEANS - Genetic Tools for Ecosystem Health Assessment in the North Sea Region

Document metadata

date created
2020-03-16
date modified
2023-07-13