Determining sources of water to great lakes coastal wetlands: A classification approach

John A. Morrice, Anett S. Trebitz, John R. Kelly, Michael E. Sierszen, Anne M. Cotter, Tom Hollenhorst

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Water and associated nutrients can enter freshwater and marine coastal wetlands from both watershed and offshore sources. Identifying the relative contribution of these potential sources, and the spatial scale at which sources are influenced by anthropogenic activities, are critical steps in wetland protection and restoration. We developed a hydrology-based classification scheme for Great Lakes coastal wetlands for the purpose of identifying dominant hydrologic influences and water sources. Classes were determined through analysis of data quantifying hydrologic linkages to lake (seiche) and watershed (watershed area, tributary discharge) in 57 wetlands distributed along the U.S. shoreline of the Laurentian Great Lakes. Wetlands were partitioned into four classes of hydrology that were predicted to differ in sources of water. Source water predictions were tested by comparing Chloride (Cl-) concentrations in wetland, lake, and tributary waters of the wetlands in each class. Results confirmed that classification based on quantitative hydrology data was successful in identifying groups of wetlands with similar water sources. Correlations between wetland Cl-, an indicator of anthropogenic disturbance, and agricultural and urban land uses suggest that differences among classes in water sources resulted in differences in the scale at which wetlands were connected to and influenced by landscapes.

Original languageEnglish (US)
Pages (from-to)1199-1213
Number of pages15
JournalWetlands
Volume31
Issue number6
DOIs
StatePublished - Dec 2011

Keywords

  • Classification
  • Great Lakes coastal wetland
  • Hydrology
  • Land use
  • Nutrients

Fingerprint Dive into the research topics of 'Determining sources of water to great lakes coastal wetlands: A classification approach'. Together they form a unique fingerprint.

Cite this