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Assessing Runnel Effectiveness - Time Series Surface and Groundwater Elevations

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Figshare2025-08-26 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Assessing_Runnel_Effectiveness_-_Time_Series_Surface_and_Groundwater_Elevations/29923127/1
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In New England, runnels have been implemented in Rhode Island and Massachusetts with the intent to restore tidal hydrology to the marsh platform, stop the expansion of shallow water pools, and create sufficient growing conditions for high marsh graminoids (e.g., Spartina patens, Distichlis spicata, and Juncus gerardii). Long-term restoration goals of these projects include enhancing salt marsh resiliency to sea level rise and preserving high marsh habitat for specialized fauna such as the saltmarsh sparrow. Monitoring efforts of previous runnel and ditch plug removal projects have generally been tailored to one or several sites and the broader applicability and success rate of the technique has not been evaluated on a regional basis (although see Sullivan et al. 2024). To evaluate the effectiveness of runneling as a restoration tool, comprehensive monitoring of hydrology, vegetation, surface elevation, and the avian community was completed for two growing season over three years at 20 restoration sites in a modified after - control – impact (ACI) experimental design. Runnels were created between 2011 – 2022 across Maine, Massachusetts, and Rhode Island, which allowed for a space for time substitution to draw conclusions of their impact in the short (< 5 years) and medium-term (5 – 10 years). The project asked one fundamental research question pertaining to marsh platform conservation and restoration: How do the hydrology, vegetation, and avian community respond to drainage enhancement efforts over time.The dataset contains the time series of water elevations from water level recorders (Onset Hobo Water Pressure Transducers) installed in creeks for surface hydrology and groundwater wells for groundwater elevations. Time series of water elevations were used to calculate tidal datums and flooding metrics to assess runnel restoration. Questions about the dataset can be directed to Grant McKown, University of New Hampshire, at jgrantmck@gmail.com
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McKown, Grant
创建时间:
2025-08-15
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