Dataset

Abundance and biomass of benthic infauna as part of the North Channel habitat mapping project, 2017

OBIS UK MeasurementOrFact Open in mapper Explore occurrences

This dataset contains information on infaunal abundance and biomass from sediment grabs in North Channel as part of a larger, more comprehensive habitat mapping project. This survey was carried out over two days in 2017 by the Agri-Food & Biosciences Institute (AFBI) on the RV Corystes. A 0.1m2 Day Grab was used to collect the sediment samples. Particle size analysis (PSA) and Carbon & Nitrogen analysis were carried out. The infaunal samples were sent away to accredited taxonomic laboratories to be identified and weighed. There were many commercially and biologically important species found in the samples for example Modiolus modiolus (Northern Ireland priority species) and a few non-native species such as Goniadella gracilis. There were also a few records of species that are not formally recorded in the UK e.g. Syllis licheri. The most abundant species recorded was the polychaete Sabellaria spinulosa. The polychaete species Syllis armillaris was present in all 12 samples taken.

Citation: Agri-Food and Biosciences Institute (AFBI) (2019): Abundance and biomass of benthic infauna as part of the North Channel habitat mapping project, 2017. v2.4. Marine Biological Association. Dataset/Samplingevent. https://doi.org/10.17031/ijdo70

Published: May 05, 2020 at 11:04

URL: https://www.dassh.ac.uk/ipt/resource?r=dasshdt00000410

Agri-Food and Biosciences Institute (AFBI)
Agri-Food and Biosciences Institute (AFBI)

Data Archive for Marine Species and Habitats (DASSH)
Data Archive for Marine Species and Habitats (DASSH)

Data Team

1,233
occurrence records
1,674
measurements and facts
347
taxa
239
species

Taxa

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 1,233
100.0%
minimumDepthInMeters 1,233
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 1,233
100.0%
NO_ACCEPTED_NAME 12
1.0%

Measurement types

DNA derived data