cff-version: 1.2.0
abstract: "<p>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 <em>i</em>) occur when specific hydrodynamic thresholds are exceeded and <em>ii</em>) 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.</p><p>These files include the data used to create each figure in the manuscript, organized as follows:</p><p><br></p><p>1. Concept diagram</p><p> a) Fates of soft-bottom mussel beds: Figure 1 in the manuscript</p><p> b) Spatial distribution of monitoring plots: Figure 2 in the manuscript</p><p> c) Setup for in-situ monitoring: Figure 3 in the manuscript</p><p> </p><p>2. Flume test</p><p> a) Calibration results on accelerometers: Figure 4 in the manuscript</p><p> </p><p>3. Field monitoring</p><p> a) Data example from Biophy loggers: Figure 5 in the manuscript</p><p> b) Multi-location threshold quantification: Figure 6 in the manuscript</p><p> c) Relationships between the threshold and environmental variables: Figure 7 in the manuscript</p><p> </p><p>4. Modeling</p><p> a) Model outcome: Figure 8 in the manuscript</p><p> b) Correlation between modeled data and real data: Figure 9 in the manuscript</p><p> </p><p>For a complete description, see “Data description.docx”</p>"
authors:
  - family-names: Zhao
    given-names: Zhiyuan
    orcid: "https://orcid.org/0000-0002-4113-3796"
  - family-names: de Smit
    given-names: Jaco C.
    orcid: "https://orcid.org/0000-0003-1039-0383"
  - family-names: Capelle
    given-names: Jacob J.
    orcid: "https://orcid.org/0000-0002-0958-4263"
  - family-names: Grandjean
    given-names: Tim
    orcid: "https://orcid.org/0000-0002-2729-3566"
  - family-names: Wu
    given-names: Mingxuan
    orcid: "https://orcid.org/0000-0001-9332-5784"
  - family-names: Gerkema
    given-names: Theo
    orcid: "https://orcid.org/0000-0002-7702-1788"
  - family-names: van de Koppel
    given-names: Johan
    orcid: "https://orcid.org/0000-0002-0103-4275"
  - family-names: Bouma
    given-names: Tjeerd J.
    orcid: "https://orcid.org/0000-0001-7824-7546"
title: "Data underlying the publication: Differences in bed elevation shape subtidal mussel bed stability under high-energy hydrodynamic events"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/5e0d79c5-cf72-4868-a3dc-a4aa9d9a59ce.v1
license: CC BY 4.0
date-released: 2025-07-18