Abstract
A better understanding of relationships between human activities and water chemistry is needed to identify and manage sources of anthropogenic stress in Great Lakes coastal wetlands. The objective of the study described in this article was to characterize relationships between water chemistry and multiple classes of human activity (agriculture, population and development, point source pollution, and atmospheric deposition). We also evaluated the influence of geomorphology and biogeographic factors on stressor-water quality relationships. We collected water chemistry data from 98 coastal wetlands distributed along the United States shoreline of the Laurentian Great Lakes and GIS-based stressor data from the associated drainage basin to examine stressor-water quality relationships. The sampling captured broad ranges (1.5–2 orders of magnitude) in total phosphorus (TP), total nitrogen (TN), dissolved inorganic nitrogen (DIN), total suspended solids (TSS), chlorophyll a (Chl a), and chloride; concentrations were strongly correlated with stressor metrics. Hierarchical partitioning and all-subsets regression analyses were used to evaluate the independent influence of different stressor classes on water quality and to identify best predictive models. Results showed that all categories of stress influenced water quality and that the relative influence of different classes of disturbance varied among water quality parameters. Chloride exhibited the strongest relationships with stressors followed in order by TN, Chl a, TP, TSS, and DIN. In general, coarse scale classification of wetlands by morphology (three wetland classes: riverine, protected, open coastal) and biogeography (two ecoprovinces: Eastern Broadleaf Forest [EBF] and Laurentian Mixed Forest [LMF]) did not improve predictive models. This study provides strong evidence of the link between water chemistry and human stress in Great Lakes coastal wetlands and can be used to inform management efforts to improve water quality in Great Lakes coastal ecosystems.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00267-007-9055-5/MediaObjects/267_2007_9055_Fig1_HTML.gif)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs00267-007-9055-5/MediaObjects/267_2007_9055_Fig2_HTML.gif)
Similar content being viewed by others
References
Albert DA, Wilcox DA, Ingram JW, Thompson TA (2005) Hydrogeomorphic classification for Great Lakes coastal wetlands. Journal of Great Lakes Research 31(sup1):129–146
Bailey RG (1989) Explanatory supplement to the ecoregions map of the continents. Environmental Conservation 15(4):307–309
Buck O, Niyogi DK, Townsend CR (2004) Scale-dependence of land use effects on water quality if streams in agricultural catchments. Environmental Pollution 130:287–299
Carpenter SR, Caraco NF, Correll DL, Howarth RW, Sharpley AN, Smith VH (1998) Nonpoint Pollution of surface waters with phosphorus and nitrogen. Ecological Applications 8:559–568
Chevan A, Sutherland M (1991) Hierarchical partitioning. The American Statistician 45:90–96
Christensen R (1992) Comment on Chevan and Sutherland. The American Statistician 46:74
Crosbie B, Chow-Fraser P (1999) Percentage land use in the watershed determinesthe water and sediment quality of 22 marshes in the Great Lakes basin. Canadian Journal of Fisheries and Aquatic Sciences 56:1781–1791
Danz NP, Regal RR, Niemi GJ, Brady VJ, Hollenhorst T, Johnson LB, Host GE, Hanowski JM, Johnston CA, Brown T, Kingston J, Kelly JR (2005) Environmentally stratified sampling design for the development of Great Lakes environmental indicators. Environmental Monitoring and Assessment 102:41–65
Danz NP, Niemi GJ, Regal RR, Hollenhorst T, Johnson LB, Hanowski JM, Axler R, Ciborowski JJH, Hrabik T, Brady VJ, Kelly JR, Morrice JA, Brazner JC, Howe RW, Johnston CA, Host GE (2007) Integrated gradients of anthropogenic stress in the U.S. Great Lakes basin. Environmental Management 39:631–647
Detenbeck NE, Elonen CE, Taylor DL, Anderson LE, Jicha TM, Batterman SL (2003) Effects of hydrogeomorphic region, catchment storage and mature forest on baseflow and snowmelt stream water quality in second-order Lake Superior Basin tributaries. Freshwater Biology 48:912–927
Dillon PJ, Kirchner WB (1975) The effects of geology and land use on the export of phosphorus from watersheds. Water Research 9:135–148
Dodds WK, Oakes RM (2006) Controls on nutrients across a prairie stream watershed: land use and riparian cover effects. Environmental Management. 37:634–646
Herdendorff CE, Hartley SM, Barnes MD (1981) Fish and wildlife resources of the Great Lakes coastal wetlands within the United States, Vol. 3: Lake Erie, U.S. Fish and Wildlife Service, Washington
Herlihy AT, Stoddard JL, Johnson CB (1998) The relationship between stream chemistry and watershed land cover data in the Mid-Atlantic region, U.S. Water, Air, and Soil Pollution 105:377–386
Johnson LB, Richards C, Host GE, Arthur JW (1997) Landscape influences on water chemistry in Midwestern stream ecosystems. Freshwater Biology 37:193–208
Jordan TE, Correll DL, Weller DE (1997) Effects of agriculture on discharges of nutrients from coastal plain watersheds of Chesapeake Bay. Journal of Environmental Quality 26:836–848
Keough JR, Thompson TA, Guntenspergen GR, Wilcox DA (1999) Hydrogeomorphic factors and ecosystem responses in coastal wetlands of the Great Lakes. Wetlands 19:821–834
Keys JE, Carpenter CA, Hooks SL, Koeneg FG, McNab WH, Russell WE, Smith ML (1995) Ecological Units of the Eastern United States – first approximation. U.S. Dept. of Agriculture, Forest Service
King RS, Baker ME, Whigham DF, Weller DE, Jordan TE, Kazyak PF, Hurd MK (2005) Spatial considerations for linking watershed land cover to ecological indicators in streams. Ecological Applications 15:137–153
Krieger KA (2003) Effectiveness of a coastal wetland in reducing pollution of a Laurentian Great Lake: hydrology, sediment, and nutrients. Wetlands 23:778–791
Lougheed VL, Crosbie B, Chow-Fraser P (2001) Primary determinants of macrophyte community structure in 62 marshes across the Great Lakes basin: latitude, land use, and water quality effects. Canadian Journal of Fisheries and Aquatic Sciences 58:1603–1612
MacNally R (2000) Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and – reconciliation of ‘predictive’ and ‘explanatory models. Biodiversity and Conservation 9:655–671
MacNally R (2002) Multiple and inference in ecology and conservation biology: further Comments on indentifying important predictor variables. Biodiversity and Conservation 11:1397–401
McNair SA, Chow-Fraser P (2003) Change in biomass of benthic and planktonic algae along a disturbance gradient for 24 Great Lakes coastal wetlands. Canadian Journal of Fisheries and Aquatic Sciences 60:676–689
Morrice JA, Kelly JR, Trebitz AS, Cotter AM, Knuth ML (2004) Temporal dynamics of nutrients (N and P) and hydrology in a Lake Superior coastal wetland. Journal of Great Lakes Research 30(sup1):82–96
Morrice JA, Trebitz AS, Kelly JR, Cotter AM, and Knuth ML (2008) Nutrient variability in Lake Superior coastal wetlands: the role of land use and hydrology. Aquatic Ecosystems Health and Management (in press)
Nixon SW (1995) Coastal Marine eutrophication: A definition, social causes, and future concerns. Ophelia 41:199–219
Omernick JM, Gallant AL (1988) Ecoregions of the upper midwest states. U.S. EPA Environmental Research Laboratory, Corvallis, OR, USA
Osborne LL, Wiley MJ (1988) Emperical relationships between land use/cover and stream water quality in an agricultural watershed. Journal of Environmental Management 26:9–27
Paul MJ, Meyer JL (2001) Streams in the urban landscape. Annu Rev Ecol Syst 32:333–365
R Development Core Team (2004) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3–900051–07-0, URL http://www.R-project.org
SAS Institute Inc (2004) SAS 9.1.3 Language Reference: Concepts. Cary, NC
Sokal RR, Rohlf FJ (1981) Biometry. W.H. Freeman and Company, New York, NY
Trebitz AS, Morrice JA, Cotter AM (2002) Relative role of lake and tributary in hydrology of Lake Superior coastal wetlands. Journal of Great Lakes Research 28:212–227
U.S., Canada. (1997) State of the Great Lakes 1997. U.S. Environmental Protection Agency and Environment Canada, Chicago and Toronto
U.S. EPA (1983) Methods for chemical analyses of waters and wastes. U.S. Environmental Protection Agency, Cincinnati, OH. EPA-600-/4-79-020
U.S. EPA (1991) The determination of inorganic anions in water by ion chromatography. U.S. Environmental Protection Agency, Cincinnati, OH. Environmental Monitoring Systems Lab. method 300.0
U.S. EPA (1993) Methods for determination of inorganic substances in environmental samples. U.S. Environmental Protection Agency, Cincinnati, OH. EPA/600/R-93/100
U.S. EPA (1999) State of the Great Lakes 1999. U.S. Environmental Protection Agency, Chicago, IL
U.S. EPA (2001) National coastal condition report. U.S. Environmental Protection Agency, Washington, DC, USA
Uzarski DG, Burton TM, Genet JA (2004) Validation and performance of an invertebrate index of biotic integrity for Lakes Huron and Michigan fringing wetlands during a period of lake level decline. Aquatic Ecosystems Health and Management 7:269–288
Uzarski DG, Burton TM, Cooper MJ, Ingram JW, Timmermans STA (2005) Fish habitat use within and across wetland classes in coastal wetlands of the five Great Lakes: development of a fish-based index of biotic integrity. Journal of Great Lakes Research 31(sup1):171–187
Walsh C, MacNally R (2004) hier.part: Hierarchical Partitioning. R package version1.0
Welschmeyer N (1994) Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments. Limnology and Oceanography 39:1985–1992
Wetzel RG (1983) Limnology. Harcourt Brace Jovanovich, New York
Acknowledgments
We thank Matthew Able, Melissa Bertelson, Jason Carlson, Rachel Daw, Tara Jernell, Terri Jicha, Jennifer Kaser, Cory Larson, Amber Seys, Steven Skolasinski, Danny Tanner, Marte Thabes, and Corlis West.for assistance in the field and laboratory. Brian Hill and Don Uzarski provided thoughtful reviews of the manuscript. Danz, Regal, Niemi, Reavie, Hollenhorst, and Axler were supported by a grant from the U.S. Environmental Protection Agency’s Science to Achieve Results (STAR) Estuarine and Great Lakes (EaGLe) program through funding to the Great Lakes Environmental Indicators (GLEI) project, U.S. EPA Agreement EPA/R-8286750 and a grant from the National Aeronautics and Space Administration (NAG5-11262). This work has been approved for publication after review by EPA’s National Health and Environmental Effects Research laboratory, but the contents do not necessarily reflect the views of the Agency, nor does mention of commercial products constitute endorsement or recommendation for use.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Morrice, J.A., Danz, N.P., Regal, R.R. et al. Human Influences on Water Quality in Great Lakes Coastal Wetlands. Environmental Management 41, 347–357 (2008). https://doi.org/10.1007/s00267-007-9055-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00267-007-9055-5