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DOI: 10.4121/5e0d79c5-cf72-4868-a3dc-a4aa9d9a59ce

Zhiyuan Zhao; de Smit, Jaco C.; Capelle, Jacob J.; Grandjean, Tim; Wu, Mingxuan et. al. (2025): Data underlying the publication: Differences in bed elevation shape subtidal mussel bed stability under high-energy hydrodynamic events. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5e0d79c5-cf72-4868-a3dc-a4aa9d9a59ce.v1

Categories

• Ecological Applications
• Environmental Sciences

Keywords

Ecosystem resilience Hydrodynamic disturbance Mussel beds Risk assessment Threshold quantification Wadden Sea

Geolocation

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Zhiyuan Zhao , Jaco C. de Smit , Jacob J. Capelle , Tim Grandjean , Mingxuan Wu , Theo Gerkema , Johan van de Koppel , Tjeerd J. Bouma

In this study, we aimed to determine the stability of subtidal soft-bottom mussel beds under hydrodynamic disturbances through in-situ monitoring and to apply these insights to perform risk assessments in a typical region. Specifically, we hypothesized that the stability of these mussel beds is closely linked to changes in the motion of mussel clusters, which are expected to i) occur when specific hydrodynamic thresholds are exceeded and ii) exhibit noticeable spatial heterogeneity. To test this hypothesis, we developed retrievable Biophys loggers for the long-term, high-frequency monitoring of mussel cluster behavior under hydrodynamic disturbances. The Dutch Wadden Sea, inhabited by subtidal soft-bottom mussel beds, was employed as a model system, with eight sites selected for the deployment of Biophys loggers. The data were expected to facilitate quantification of the mobility threshold for each mussel bed and establish a relationship between inter-site variations in the mobility threshold and key environmental features. Furthermore, a statistical model was constructed to reproduce wave regimes over the past 11 years and calculate the return interval (i.e., average occurrence frequency) of the site-specific mobility threshold. Shorter return intervals of mobility thresholds at specific locations indicate lower stability in mussel beds and thus a higher risk of fragmentation or collapse during high-energy hydrodynamic events.

These files include the data used to create each figure in the manuscript, organized as follows:

1. Concept diagram

a) Fates of soft-bottom mussel beds: Figure 1 in the manuscript

b) Spatial distribution of monitoring plots: Figure 2 in the manuscript

c) Setup for in-situ monitoring: Figure 3 in the manuscript

2. Flume test

a) Calibration results on accelerometers: Figure 4 in the manuscript

3. Field monitoring

a) Data example from Biophy loggers: Figure 5 in the manuscript

b) Multi-location threshold quantification: Figure 6 in the manuscript

c) Relationships between the threshold and environmental variables: Figure 7 in the manuscript

4. Modeling

a) Model outcome: Figure 8 in the manuscript

b) Correlation between modeled data and real data: Figure 9 in the manuscript

For a complete description, see “Data description.docx”

History

• 2025-07-18 first online, published, posted

Publisher

4TU.ResearchData

Format

Table/.csv or .xlsx; Figure/.png; Code/.R or .py

Associated peer-reviewed publication

Differences in bed elevation shape subtidal mussel bed stability under high-energy hydrodynamic events

References

• https://edepot.wur.nl/689642

Organizations

NIOZ, Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems
HZ University of Applied Sciences, Building with Nature Group
Wageningen Marine Research
Utrecht University, Faculty of Geosciences, Department of Physical Geography