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Can Multi-Element Fingerprinting of Soils Inform Assessments of Chemical Connectivity Between Depressional Wetlands?
The question of wetland connectivity is particularly relevant regarding depressional wetlands because these often seem to be “isolated” from other wetlands on a landscape. We used multi-element fingerprinting to assess similarity in element composition of depressional-wetland soils as a measure of w...
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Published in: | Wetlands (Wilmington, N.C.) N.C.), 2019-10, Vol.39 (5), p.1015-1027 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The question of wetland connectivity is particularly relevant regarding depressional wetlands because these often seem to be “isolated” from other wetlands on a landscape. We used multi-element fingerprinting to assess similarity in element composition of depressional-wetland soils as a measure of wetland connectivity. We determined the concentrations of 63 elements in the surface soil (top 10 cm) for ten sequences, each consisting of at least one recharge, one flow-through and one discharge depressional wetland in the Prairie Pothole Region of North Dakota. Across all wetlands, soil pH, organic matter content, and electrical conductivity were the most important variables explaining variation in element concentrations. Electrical conductivity and pH significantly increased along a recharge to flow-through to discharge gradient, as did concentrations of As, B, Ca, Co, Hf, Li, Mg, Na, S, Sb, and Sr. Concentrations of Ag, Cd, Cu, P, Pb, Rb, and Se showed the reverse pattern. Similarity-tree analysis revealed that recharge and discharge wetlands clustered in different groups, but that flow-through wetlands were distributed across the spectrum. Our study supports the idea that wetlands in the PPR are chemically connected through surface-water and groundwater flows, and erosional processes, but also behave as independent units within a larger hydrologic landscape. |
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ISSN: | 0277-5212 1943-6246 |
DOI: | 10.1007/s13157-019-01154-x |