The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22182280

Remment ter Hofstede (2023): Data underlying the publication: Offshore wind farms contribute to epibenthic biodiversity in the North Sea. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22182280.v1

Dataset

• Civil Engineering
• Ecological Applications
• Environmental and Natural Resource Evaluation
• Ecology
• Ecosystem Assessment and Management
• Flora, Fauna and Biodiversity
• Environmentally Sustainable Construction
• Rehabilitation of Degraded Environments
• Environmental Engineering
• Renewable Energy
• Environmentally Sustainable Energy Activities

benthos, biodiversity, offshore wind, remotely operated vehicle, restoration management

CC0

• Data underlying the dissertation: Engineering nature-inclusive marine infrastructure, with an emphasis on flat oyster reef development at offshore wind farms in the Southern North Sea.

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Remment ter Hofstede

Video footage of epibenthic organisms at and around the scour protection in offshore wind farms was collected using a Remotely Operated Vehicle. 

The epibenthic community structure was assessed for species abundance and species diversity (species richness (S), species evenness (E) and Shannon diversity index (H)).

Species density for individual species were calculated as the number of individuals per m2 in a video frame; species density of clustering species was calculated in percentage as covered area per video frame. These different types of densities were combined by transforming them to the ordinal Marine Nature Conservation Review (MNCR) SACFOR scale. 

Statistical analyses were performed using the software package R version 3.6.3 with several functions from the ‘vegan package’. Before statistical analyses, species with only 1 observation in the dataset were removed to minimize the influence of rare species in multivariate analyses. To obtain a balanced dataset, the Monte Carlo resampling strategy was applied (by 100 randomized repetitions). 

For further information see manuscript.

 

• 2023-02-28 first online, published, posted

4TU.ResearchData

*.xlsx; *.pptx; *.docx; *.txt; *.csv; *.R; *.kmz; *.xml; *.jpg; *.cpg; *.dbf; *.prj; *.sbn; *.sbx; *.shp; *.shx; *.spx; *.atx; *.gdbindexes; *.gbdtable; *.gbdtablx; *.freelist

Offshore wind farms contribute to epibenthic biodiversity in the North Sea.

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
Van Oord Dredging and Marine Contractors