Water Quality in Great Lakes Coastal Wetlands: Basin-wide Patterns and Responses to an Anthropogenic Disturbance Gradient

Trebitz, Anett S.; Brazner, John C.; Cotter, Anne M.; Knuth, Michael L.; Morrice, John A.; Peterson, Gregory; Sierszen, Michael E.; Thompson, Jo; Kelly, John R.

doi:10.3394/0380-1330(2007)33[67:wqiglc]2.0.co;2

Cited by 73 publications

(35 citation statements)

References 1 publication

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“…Consistent with our results, numerous studies have found that submersed aquatic vegetation are negatively affected by water turbidity because of light limitation (Chow-Fraser, 1998;Brazner and Beals, 1997;Lougheed et al, 2001;Ibelings et al, 2007;Trebitz et al, 2009). When wetlands become enriched with primary nutrients (phosphorus and nitrogen), the plant communities tend to shift from species that require high light and low-nutrient conditions (e.g., rooted rosettes) to those that can tolerate low light and require high-nutrient conditions (e.g., unrooted, floating and canopy species) (Lougheed et al, 2001;Edvardsen and Okland, 2006;Croft and Chow-Fraser, 2007;Trebitz et al, 2007). Schaffers (2004).…”

Section: Macrophytes As Habitatmentioning

confidence: 98%

“…There is no doubt that land-use alteration and point source pollution can lead to water quality impairment in wetlands (Chow-Fraser, 2006;Danz et al, 2007;Trebitz et al, 2007), and this can in turn lead to predictable changes in both the plant and fish communities. This evidence implies that a change in fish community should be a synergistic consequence of the effect of changes in water quality, and the effect of water quality on plants and the subsequent impact on fish.…”

Section: Introductionmentioning

confidence: 98%

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Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes

Cvetković

Wei

Chow‐Fraser

2010

Journal of Great Lakes Research

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Section: Macrophytes As Habitatmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes

Cvetković

Wei

Chow‐Fraser

2010

Journal of Great Lakes Research

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“…Statistical approaches such as multilevel mixed-effects models can account for multiscaled drivers of lake chemistry by modeling variation in chemistry attributed to features at both the catchment (i.e., local) and ecoregion (i.e., regional) scales. Mixed-effects models have not been widely used in freshwater land-use and land-cover studies (but see Taranu and Gregory-Eaves 2008), but are highly relevant to the hierarchical structure of freshwater ecosystems and ecological processes (Wagner et al 2006).…”

mentioning

confidence: 99%

Multiscale landscape and wetland drivers of lake total phosphorus and water color

Fergus

Soranno

Cheruvelil

et al. 2011

Limnology & Oceanography

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We quantified relationships between local wetland cover in the riparian lake buffer and lake total phosphorus (TP) and water color (color) using multilevel mixed-effects models that also incorporate landscape features such as hydrogeomorphology and land use at broad regional scales to determine the following: (1) Within regions, are local wetland relationships with TP and color affected by interactions with local land use or hydrogeomorphic variables? (2) Across regions, are local wetland relationships with TP and color different? And if so, (3) Are differences in local wetland relationships with TP and color a result of cross-scale interactions? We answered these questions by analyzing TP, color, and multiscaled landscape data for 1790 north temperate lakes. Local wetland-TP and wetland-color relationships were not affected by local-scale interactions. However, these same relationships were different when compared across regions, and these differences were related to cross-scale interactions with regional landscape characteristics. For example, regional human land use affected local wetland-TP relationships such that in regions with high amounts of agriculture, local wetlands were associated with decreased lake TP. However, in regions with low amounts of agriculture, local wetlands were associated with increased lake TP. In contrast, regional hydrogeomorphic characteristics influenced local wetland-color relationships such that in regions with high groundwater contribution, the strength of local wetland relationships were weak. Regional landscape setting influences local wetland relationships with TP and color through crossscale interactions, and lake TP and color are controlled by both local-scale wetland extent and regional-scale landscape variables.

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“…As described in detail in Trebitz et al (2007), site selection was intended to distribute sites across HGM wetland classes and ecoprovinces (Eastern Broadleaf Forest and Laurentian Mixed Forest, Keys et al 1995). Within each wetland type and ecoprovince wetlands were selected across a basinwide nutrient gradient using a metric related to the intensity of application and export of agricultural chemicals (Danz et al 2005.…”

Section: Site Selectionmentioning

confidence: 99%

“…However, these assumptions have not been tested and, in general, accounting for HGM class has not improved models relating human disturbance to water quality in GLCWs (Crosbie and Chow-Fraser 1999;Trebitz et al 2007; Morrice et al 2008). The characterization of GLCW hydrology in HGM schemes is qualitative and although inflowing waters are likely the main vectors of nutrient loading to GLCWs, quantitative investigations of hydrology as a factor that organizes relationships between human activities and wetland water quality are lacking.…”

Section: Introductionmentioning

confidence: 97%

Determining Sources of Water to Great Lakes Coastal Wetlands: A Classification Approach

Morrice¹,

Trebitz²,

Kelly³

et al. 2011

Wetlands

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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.

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Water Quality in Great Lakes Coastal Wetlands: Basin-wide Patterns and Responses to an Anthropogenic Disturbance Gradient

Cited by 73 publications

References 1 publication

Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes

Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes

Multiscale landscape and wetland drivers of lake total phosphorus and water color

Determining Sources of Water to Great Lakes Coastal Wetlands: A Classification Approach

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