Groundwater, soil moisture, light and weather data in Brownsville forest, Nassawadox, VA, 2019-2023

This dataset includes groundwater, soil moisture, weather and light data collected in eight study sites in the Brownsville forested area (VA). In particular, sites H5 and H7 characterize the high forest where healthy Pinus taeda dominate, sites L1 and L6 characterize the low forest, where barren or dead Pinus taeda are present, sites M1 and M2 characterize the medium forest, representing transition between high and low forest, transition site where dead trees and saltmarsh vegetation live together and marsh site dominated by saltmarsh vegetation. Data collection, started in January 2019, is done for VCR-LTER and CCZN (Coastal Critical Zone Network) long term projects. CTD-Diver are used to measure groundwater pressure, specific conductance and temperature. They hang from a cable in six wells, one for each study site. Water pressure is compensated using barometric pressure data collected by the weather station nearby. Water levels are georeferenced to NAVD 88. Two soil moisture sensors for each site are placed 7-10 cm and 30 cm below the ground surface to detect water content, specific conductance and temperature of the first soil layer. Two weather stations are always installed in different sites. Their position is periodically changed to cover all sites. This material is based upon work supported by the National Science Foundation under Grant No. 2012322, Collaborative Research: Network Cluster: The Coastal Critical Zone: Processes that transform landscapes and fluxes between land and sea.

该数据集包含在弗吉尼亚州（VA）布朗斯维尔林区的8个研究站点采集的地下水、土壤湿度、气象及光照数据。具体而言，H5和H7站点代表健康火炬松（Pinus taeda）占主导的高森林区域；L1和L6站点代表存在贫瘠或死亡火炬松的低森林区域；M1和M2站点代表介于高低森林之间的过渡性中等森林区域；此外还包括枯树与盐沼植被共生的过渡站点，以及盐沼植被主导的沼泽站点。数据采集始于2019年1月，旨在服务于VCR-LTER及海岸临界带网络（Coastal Critical Zone Network，CCZN）的长期项目。研究使用CTD-Diver设备测量地下水压力、电导率及温度；这些设备悬挂于6口井中的电缆上，每个研究站点各设一口井。水压数据通过附近气象站采集的气压数据进行补偿校准；水位则参照NAVD 88基准面进行地理定位。每个站点布设两台土壤湿度传感器，分别置于地表以下7-10厘米及30厘米处，用于检测表层土壤的含水量、电导率及温度。研究区域内始终设有两台气象站，且其位置会定期调整以覆盖所有站点。本数据集相关工作由美国国家科学基金会资助（项目编号2012322，合作研究：网络集群：海岸临界带——景观演变与陆海通量过程）。