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How the Blue Economy affects plankton dynamics in the BPNS: data and scripts
Citable as data publication
Stevens, M.; Everaert, G.; Pint, S.; De Troch, M.; Faculty of Sciences, Ghent University; Flanders Marine Institute: Belgium; (2023): How the Blue Economy affects plankton dynamics in the BPNS: data and scripts. Marine Data Archive. https://doi.org/10.14284/603
Contact:
Everaert, Gert ;
Stevens, Martha Availability:
 This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
Input data, R scripts and results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to investigate the effects of hypothetical mussel aquaculture and offshore wind farm scenarios in the BPNS. more
This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to investigate the effects of hypothetical mussel aquaculture and offshore wind farm scenarios in the BPNS. This study was performed in the scope of a master thesis for the International Master of Science in Marine Biological Resources (IMBRSea) conducted at Ugent in collaboration with VLIZ. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR) from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring Network at https://meetnetvlaamsebanken.be/. Scope Themes: Biology > Plankton > Phytoplankton, Biology > Plankton > Zooplankton Keywords: Marine/Coastal, Aquaculture, Ecosystem modeling, Offshore wind farms, Belgian part of the North Sea Geographical coverage Belgian part of the North Sea [Marine Regions] Temporal coverage
1 January 2011 - 31 December 2017 Not relevant Parameters
Ammonium (NH4+)-nitrogen (N) Methodology
Chlorophyll a+ Methodology Dissolved inorganic nitrogen (DIN) Methodology Nitrate (NO3-) Methodology Nitrite (NO2-) Methodology Phosphate (PO43-)-phosphorus (P) Methodology Sea surface temperature Methodology Silicate (SiO44-) Methodology Zooplankton density Methodology Ammonium (NH4+)-nitrogen (N): Skalar AutoAnalyzer Chlorophyll a+: HPLC Dissolved inorganic nitrogen (DIN): Skalar AutoAnalyzer Nitrate (NO3-): Skalar AutoAnalyzer Nitrate (NO3-): Skalar AutoAnalyzer Nitrite (NO2-): Skalar AutoAnalyzer Nitrite (NO2-): Skalar AutoAnalyzer Phosphate (PO43-)-phosphorus (P): Skalar AutoAnalyzer Phosphate (PO43-)-phosphorus (P): Skalar AutoAnalyzer Sea surface temperature: CTD CTD type: SBE-19 (www.seabird.com); depth profiles of temperature and salinity equipped with a OBS probe for relative turbidity measurements Silicate (SiO44-): Skalar AutoAnalyzer Zooplankton density: zooscan analysis zooscan analysis Contributors
Related datasets
Source datasets: LifeWatch observatory data: nutrient, pigment, suspended matter and secchi measurements in the Belgian Part of the North Sea, more LifeWatch observatory data: zooplankton observations by imaging (ZooScan) in the Belgian Part of the North Sea, more Monitoring Network Flemish Banks, more Other relation: Data, scripts and model output to perform spatiotemporal analysis of plankton drivers in the Belgian part of the North Sea., more Project
Publication
Based on this dataset
Stevens, M. (2023). How the Blue Economy affects plankton dynamics in the Belgian part of the North Sea: A modeling approach. MSc Thesis. Ghent University/VLIZ: Gent/Oostende. 35 pp., more
Dataset status: Completed
Data type: Software/models/scripts
Data origin: Data collection
Metadatarecord created: 2023-06-01
Information last updated: 2023-06-01
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