Data underlying the publication: Storm resilience of subtidal soft-bottom mussel beds: mechanistic insights, threshold quantification and management implications
DOI: 10.4121/ce413614-1c82-4e81-90c0-323aa7d2fabd
Datacite citation style
Dataset
In this study, centered on subtidal soft-bottom mussel beds, our aims are: i) to develop an effective methodology for continuously monitoring their dislodgement dynamics in-situ under (storm) waves; ii) to seek integrated experimental evidence for understanding the variability in their resistance and recovery under storm impacts and the associated driving mechanisms. Firstly, utilizing a novel method (i.e., Mussel Clump Accelerometer), we conducted continuous monitoring of mussel clump dislodgement throughout the storm season in a representative subtidal soft-bottom mussel habitat (i.e., the Dutch Wadden Sea) to quantify the associated dislodgement threshold. Secondly, employing a wave-generating flume, we investigated to what extent mussel clump dislodgement depends on recent life history and storm exposure duration. Thirdly, using wave-mimicked mesocosms, we conducted disturbance-recovery experiments to examine the effect of storm frequency on mussel bed recovery after dislodgement. Finally, we discussed the implications of our findings for advancing mussel bed resilience studies, as well as their relevance to mussel bed conservation and management.
These files include the data used to create each figure in the manuscript, organized as follows:
1. Field monitoring
a) Accelerometer
b) Pressure sensor
2. Flume study
a) Dislodgement test
b) Long exposure experiment
For a complete description, see 'Data description.docx'
History
- 2024-10-24 first online, published, posted
Publisher
4TU.ResearchDataFormat
spreadsheet/.csv image/.pngFunding
- Dynamos the European Fisheries Fund, in collaboration with Producers’ Organization of Dutch Mussel culture (POM).
Organizations
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta SystemsDATA
Files (1)
- 16,204,156 bytesMD5:
48e41cceb4e5ff48bf9bc8f93fb19f8f
Data 4TU.zip