Hubbard Brook Experimental Forest: Watershed 3 well water level recordings, 2007 - ongoing

This dataset consists of groundwater levels measured within wells distributed across Watershed 3 at Hubbard Brook Experimental Forest from 2007-2020. Water levels are expressed as a depth (cm) from the soil surface. This dataset is a part of a larger project aimed at explaining the spatial and temporal variation in stream water chemistry at the headwater catchment scale using a framework based on the combined study of hydrology and soil development – hydropedology. The project will demonstrate how hydrology strongly influences soil development and soil chemistry, and in turn, controls stream water quality in headwater catchments. Understanding the linkages between hydrology and soil development can provide valuable information for managing forests and stream water quality. Feedbacks between soils and hydrology that lead to predictable landscape patterns of soil chemistry have implications for understanding spatial gradients in site productivity and suitability for species with differing habitat requirements or chemical sensitivity. Tools are needed that identify and predict these gradients that can ultimately provide guidance for land management and silvicultural decision making. Better integration between soil science, hydrology, and biogeochemistry will provide the conceptual leap needed by the hydrologic community to be able to better predict and explain temporal and spatial variability of stream water quality and understand water sources contributing to streamflow. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

本数据集涵盖2007至2020年间，哈伯布鲁克实验林（Hubbard Brook Experimental Forest）3号流域内分布井孔的地下水位观测数据，水位以距土壤表面的深度（厘米）为单位表示。
本数据集隶属于一项更大的研究项目，该项目旨在以水文与土壤发育联合研究的框架——水文土壤学（hydropedology）为基础，解释源头集水区尺度内河流水化学的时空变异特征。该项目将阐明水文过程如何显著影响土壤发育与土壤化学性质，并进而调控源头集水区的河流水质。明晰水文过程与土壤发育间的关联，可为森林管理与河流水质管控提供宝贵参考。土壤与水文之间的反馈机制可形成可预测的土壤化学景观格局，这对于理解立地生产力的空间梯度，以及不同生境需求或化学敏感性物种的适生性具有重要意义。当前亟需能够识别并预测此类梯度的工具，最终为土地管理与营林决策提供指导。将土壤科学、水文学与生物地球化学进行更深度的整合，可实现水文领域所需的概念性突破，从而能够更好地预测与解释河流水质的时空变异，并明确补给径流的水源。
这些数据是哈伯布鲁克生态系统研究（Hubbard Brook Ecosystem Study, HBES）的组成部分。HBES是一项在哈伯布鲁克实验林开展的协作研究项目，该实验林由美国农业部林务局北方研究站（USDA Forest Service, Northern Research Station）运营维护。