Runnels Reverse Mega‑pool Expansion and Improve Marsh Resiliency in the Great Marsh, Massachusetts (USA) (Dataset)

<b>Dataset Description:</b>Monitoring data set accompanying the publication, " Runnels Reverse Mega-pool Expansion and Improve Marsh Resiliency in the Great Marsh, Massachusetts (USA)" in the journal <i>Wetlands </i>(https://doi.org/10.1007/s13157-023-01683-6). Monitoring was conducted by the Coastal Habitat Restoration Team at Jackson Estuarine Laboratory, Unviersity of New Hampshire. Dataset is broken down into 3 components:(1) Compiled dataset of the monitoring data of the project including detailed metadata on monitoring and data analysiys. Metadata and explanaitions for input data to R code can be found in the dataset.(2) Water Level Recorder Analysis R Code - R code used to process tidal water elevations from Hoboware CSV files(3) Multivariate Analysis R Code - R code used to conduct non-metric dimensional ordination, PERMANOVA, and SIMPER analyses on the vegetation dataset<br><b>Abstract:</b>Coastal ecologists in New England have been implementing a restoration strategy of runnels, or shallow ditches, to enhance drainage of oversaturated and ponding interior marshes. In 2015, runnels were constructed to drain two large and expanding pools in the Great Marsh System of Massachusetts, USA. Vegetation, elevation, and hydrology were monitored using field sampling and remote sensing analysis conducted pre- and post-restoration over seven growing seasons to document the recovery of the vegetation community in the pool and salt marsh platform. Vegetation was monitored with 0.5 m2 plots with all species identified and percent cover estimated per species. Elevation was recorded with either laser level (2015) or RTK-GPS (2016, 2021) in the plots. Water level elevations were monitored with Odyssey capacitance loggers (2015, 2016) and Hobo pressure transducers (2018, 2021).<b>Contact Information:</b>Questions about the data set can be directed towards Grant McKown, [e-mail] or [e-mail]<b>数据集说明：</b>本数据集伴随发表于期刊《湿地》（*Wetlands*，https://doi.org/10.1007/s13157-023-01683-6）的论文《美国马萨诸塞州大沼泽的潮沟（runnels）反向巨型水塘扩张与沼泽韧性提升》。本数据集由新罕布什尔大学杰克逊河口实验室的海岸栖息地修复团队完成监测。数据集分为3个组成部分：(1) 项目监测数据汇编数据集，包含监测与数据分析的详细元数据；R代码输入数据的元数据及说明可在本数据集中查阅。(2) 水位记录仪分析R代码：用于处理来自Hoboware CSV文件的潮汐水位高程数据的R代码。(3) 多变量分析R代码：用于对植被数据集开展非度量多维标度排序（non-metric dimensional ordination）、置换多元方差分析（PERMANOVA）及相似百分比分析（SIMPER）的R代码。<b>摘要：</b>新英格兰的海岸生态学家已采用潮沟（runnels，即浅排水沟）修复策略，以增强过饱和积水的内陆沼泽的排水能力。2015年，研究人员在美国马萨诸塞州大沼泽系统中修建潮沟，以排干两个正在扩张的大型水塘。在7个生长季内，通过野外采样与遥感分析对修复前后的植被、高程与水文状况进行监测，以记录水塘与盐沼平台的植被群落恢复情况。植被监测采用0.5 m²样方，对所有物种进行鉴定并估算各物种的盖度。样方内的高程数据通过激光水准仪（2015年）或实时动态差分全球定位系统（RTK-GPS，2016、2021年）获取。水位高程通过Odyssey电容式记录仪（2015、2016年）与Hobo压力传感器（2018、2021年）监测。<b>联系方式：</b>若对本数据集有任何疑问，可联系Grant McKown，邮箱为[e-mail] 或 [e-mail]