Pacific Northwest National Laboratory, Marine and Coastal Research Laboratory, Sequim, Washington, USA.
The University of Toledo, Department of Environmental Sciences, Toledo, Ohio, USA.
Sci Data. 2023 Nov 24;10(1):822. doi: 10.1038/s41597-023-02548-7.
Transferable and mechanistic understanding of cross-scale interactions is necessary to predict how coastal systems respond to global change. Cohesive datasets across geographically distributed sites can be used to examine how transferable a mechanistic understanding of coastal ecosystem control points is. To address the above research objectives, data were collected by the EXploration of Coastal Hydrobiogeochemistry Across a Network of Gradients and Experiments (EXCHANGE) Consortium - a regionally distributed network of researchers that collaborated on experimental design, methodology, collection, analysis, and publication. The EXCHANGE Consortium collected samples from 52 coastal terrestrial-aquatic interfaces (TAIs) during Fall of 2021. At each TAI, samples collected include soils from across a transverse elevation gradient (i.e., coastal upland forest, transitional forest, and wetland soils), surface waters, and nearshore sediments across research sites in the Great Lakes and Mid-Atlantic regions (Chesapeake and Delaware Bays) of the continental USA. The first campaign measures surface water quality parameters, bulk geochemical parameters on water, soil, and sediment samples, and physicochemical parameters of sediment and soil.
为了预测沿海系统对全球变化的响应,有必要对跨尺度相互作用进行可转移和机制上的理解。跨地理分布站点的综合数据集可用于研究对沿海生态系统控制点的机制理解在多大程度上具有可转移性。为了实现上述研究目标,EXploration of Coastal Hydrobiogeochemistry Across a Network of Gradients and Experiments (EXCHANGE) 联盟——一个区域分布式的研究人员网络——合作进行了实验设计、方法学、样本采集、分析和出版工作,收集了相关数据。该联盟于 2021 年秋季在 52 个沿海陆地-水域界面 (TAI) 采集了样本。在每个 TAI 中,采集的样本包括跨越横向海拔梯度的土壤(即沿海高地森林、过渡森林和湿地土壤)、地表水以及美国大陆大湖和大西洋中部地区(切萨皮克湾和特拉华湾)研究地点的近岸沉积物。第一个活动旨在测量地表水质量参数、水、土壤和沉积物样本的总体地球化学参数,以及沉积物和土壤的物理化学参数。