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Biogeochemistry of upland to wetland soils, sediments, and surface waters across Mid-Atlantic and Great Lakes coastal interfaces.

Allison N Myers-PiggStephanie C PenningtonKhadijah K HomolkaAllison M LewisOpal OtenburgKaizad F PatelPeter RegierMadison BoweMaxim I BoyanovNathan A ConroyDonnie J DayCooper G NorrisEdward J O'LoughlinJesse Alan RoebuckLucie StettenVanessa L BaileyKenneth M KemnerNicholas D Wardnull null
Published in: Scientific data (2023)
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.
Keyphrases
  • heavy metals
  • risk assessment
  • water quality
  • climate change
  • health risk
  • human health
  • wastewater treatment
  • electronic health record
  • machine learning
  • single cell
  • rna seq
  • neural network