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Data underlying the publication: Storm resilience of subtidal soft-bottom mussel beds: mechanistic insights, threshold quantification and management implications

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4TU.ResearchData2024-10-24 更新2026-04-23 收录
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https://data.4tu.nl/datasets/ce413614-1c82-4e81-90c0-323aa7d2fabd/1
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In this study, centered on subtidal soft-bottom mussel beds, our aims are: <em>i</em>) to develop an effective methodology for continuously monitoring their dislodgement dynamics in-situ under (storm) waves; <em>ii</em>) to seek integrated experimental evidence for understanding the variability in their resistance and recovery under storm impacts and the associated driving mechanisms. <em>Firstly</em>, 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. <em>Secondly</em>, employing a wave-generating flume, we investigated to what extent mussel clump dislodgement depends on recent life history and storm exposure duration. <em>Thirdly</em>, using wave-mimicked mesocosms, we conducted disturbance-recovery experiments to examine the effect of storm frequency on mussel bed recovery after dislodgement. <em>Finally</em>, we discussed the implications of our findings for advancing mussel bed resilience studies, as well as their relevance to mussel bed conservation and management.<br>These files include the data used to create each figure in the manuscript, organized as follows:<br>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'<br><br>

本研究以潮下带软底贻贝床(subtidal soft-bottom mussel beds)为核心研究对象,确立如下研究目标: i)开发一套可在(风暴)波浪作用下原位持续监测其脱落动态的有效方法; ii)获取整合性实验证据,以阐明风暴冲击下贻贝床抗扰动能力与恢复能力的变化规律及其相关驱动机制。 首先,本研究采用新型方法——贻贝团块加速度计(Mussel Clump Accelerometer),在典型潮下带软底贻贝栖息地(荷兰瓦登海)的完整风暴季内,对贻贝团块脱落过程开展持续监测,以量化对应的脱落阈值。 其次,借助波浪水槽(wave-generating flume)实验,探究贻贝团块脱落程度在多大程度上依赖于近期生活史特征与风暴暴露时长。 再者,利用模拟波浪的中型实验生态系统(wave-mimicked mesocosms)开展扰动-恢复实验,以检验风暴发生频率对脱落事件后贻贝床恢复进程的影响。 最后,本研究探讨了本研究发现对推进贻贝床抗扰性研究的科学意义,以及其在贻贝床保护与管理实践中的应用价值。 本研究附带的文件包含了论文中所有图表绘制所需的原始数据,具体组织形式如下: 1. 野外监测数据   a) 加速度计数据   b) 压力传感器数据 2. 水槽实验数据   a) 脱落试验数据   b) 长期暴露实验数据 如需获取完整数据说明,请参阅Data description.docx。
提供机构:
van de Koppel, Johan; J. Bouma, Tjeerd
创建时间:
2024-10-24
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