Linking the morphology and ecology of subtidal soft-bottom marine benthic habitats: A novel multiscale approach. Brown Bank 2017 - Biological and geomorphological data
datasetposted on 24.03.2020 by Sebastiaan Mestdagh, A. (Alireza) Amiri-Simkooei, K.J. (Karin) van der Reijden, L. (Leo) Koop, S. (Sarah) O'Flynn, M. (Mirjam) Snellen, C. van Sluis, L.L. (Laura) Govers, D.G. (Dick) Simons, P M J Herman, H. (Han) Olff, T. (Tom) Ysebaert
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
22 stations on and around the Brown Bank were selected to study local ecological variation and to link ecological with geomorphological data. Macrobenthos was collected with a box corer and identified to the lowest possible taxonomic level, in three replicates per station. Sediment characteristics (grain size, TOC, chlorophyll α etc.) were measured for each replicate. Geomorphological data (bathymetry, backscatter, BPI etc.) were derived from multibeam echosounding at each station.