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SBS BPNS: GEANS SBS pilot - 2019 DNA based soft bottom monitoring of macrobenthos in the framework of sand extraction at BPNS by ILVO
Citation
De Backer, A.; Wittoeck, J.; Van Den Bulcke, L.; Derycke S. (2019) DNA based soft bottom monitoring of macrobenthos in the framework of sand extraction at Belgian part of the North Sea by ILVO. https://marineinfo.org/id/dataset/6431
Contact:
De Backer, Annelies
Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License.
Notes: until publication
Description
Macrobenthos samples taken with a VV grab (0,1 m²) at the BPNS at three sand extraction sites (Thorntonbank, Hinderbanken and Oostdyck) along an intensity gradient of sand extraction at each sand bank and at control locations. Objective is to investigate whether DNA based methods allow for impact assessment of sand extraction. From each sampling location, grain size and environmental metadata (e.g. coordinates, depth, temperature, salinity,...) are available as well. From Thorntonbank samples, both morphological macrobenthos (species, count, biomass) and DNA sequences are available. From Oostdyck and Hinderbanken only DNA sequences from the macrobenthos are available.
Scope
Themes:
Biology, Biology > Benthos, Biology > Benthos > Macrobenthos
Keywords:
Marine/Coastal, Belgium, Noordzee, Amphipoda, Echinodermata, Mollusca, Polychaeta
Geographical coverage
Belgium, Noordzee [Marine Regions]
Temporal coverage
16 September 2019 - 3 October 2019
Quasi continuous (< 1 min.)
Quasi continuous (< 1 min.)
Contributors
Vlaamse overheid; Beleidsdomein Landbouw en Visserij; Instituut voor landbouw-, visserij en voedingsonderzoek (ILVO), data creator
De Backer, Annelies
Wittoeck, Jan
Van den Bulcke, Laure
Derycke, Sofie
Vanhalst, Kevin
Wittoeck, Jan
Van den Bulcke, Laure
Derycke, Sofie
Vanhalst, Kevin
Related datasets
Parent dataset:
GEANS Data: Genetic tools for Ecosystem health Assessment in the North Sea region
Project
GEANS: Genetic Tools for Ecosystem Health Assessment in the North Sea Region
Dataset status: Completed
Data type: Data
Data origin: Research: field survey
Metadatarecord created: 2020-03-19
Information last updated: 2023-07-13