Literature DB >> 18097715

Human influences on water quality in Great Lakes coastal wetlands.

John A Morrice1, Nicholas P Danz, Ronald R Regal, John R Kelly, Gerald J Niemi, Euan D Reavie, Tom Hollenhorst, Richard P Axler, Anett S Trebitz, Anne M Cotter, Gregory S Peterson.   

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.

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Year:  2008        PMID: 18097715     DOI: 10.1007/s00267-007-9055-5

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  4 in total

1.  Scale-dependence of land use effects on water quality of streams in agricultural catchments.

Authors:  Oliver Buck; Dev K Niyogi; Colin R Townsend
Journal:  Environ Pollut       Date:  2004-07       Impact factor: 8.071

2.  Environmentally stratified sampling design for the development of Great Lakes environmental indicators.

Authors:  Nicholas P Danz; Ronald R Regal; Gerald J Niemi; Valerie J Brady; Tom Hollenhorst; Lucinda B Johnson; George E Host; Joann M Hanowski; Carol A Johnston; Terry Brown; John Kingston; John R Kelly
Journal:  Environ Monit Assess       Date:  2005-03       Impact factor: 2.513

3.  Integrated measures of anthropogenic stress in the U.S. Great lakes basin.

Authors:  Nicholas P Danz; Gerald J Niemi; Ronald R Regal; Tom Hollenhorst; Lucinda B Johnson; JoAnn M Hanowski; Richard P Axler; Jan J H Ciborowski; Thomas Hrabik; Valerie J Brady; John R Kelly; John A Morrice; John C Brazner; Robert W Howe; Carol A Johnston; George E Host
Journal:  Environ Manage       Date:  2007-03-23       Impact factor: 3.266

4.  Controls on nutrients across a prairie stream watershed: land use and riparian cover effects.

Authors:  Walter K Dodds; Robert M Oakes
Journal:  Environ Manage       Date:  2006-05       Impact factor: 3.644

  4 in total
  8 in total

1.  Eutrophication in the Yunnan Plateau lakes: the influence of lake morphology, watershed land use, and socioeconomic factors.

Authors:  Wenzhi Liu; Siyue Li; Hongmei Bu; Quanfa Zhang; Guihua Liu
Journal:  Environ Sci Pollut Res Int       Date:  2011-09-27       Impact factor: 4.223

2.  Effect of land-use patterns on total nitrogen concentration in the upstream regions of the Haihe River Basin, China.

Authors:  Ranhao Sun; Liding Chen; Wenlin Chen; Yuhe Ji
Journal:  Environ Manage       Date:  2011-10-15       Impact factor: 3.266

3.  USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment.

Authors:  Anett S Trebitz; Janet A Nestlerode; Alan T Herlihy
Journal:  Environ Monit Assess       Date:  2019-06-20       Impact factor: 2.513

4.  The relative importance of road density and physical watershed features in determining coastal marsh water quality in Georgian Bay.

Authors:  Rachel Decatanzaro; Maja Cvetkovic; Patricia Chow-Fraser
Journal:  Environ Manage       Date:  2009-07-14       Impact factor: 3.266

5.  Microbial community structure and microbial networks correspond to nutrient gradients within coastal wetlands of the Laurentian Great Lakes.

Authors:  Dean J Horton; Kevin R Theis; Donald G Uzarski; Deric R Learman
Journal:  FEMS Microbiol Ecol       Date:  2019-04-01       Impact factor: 4.194

6.  GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation-Case Study in Romania.

Authors:  Sorin Avram; Corina Cipu; Ana-Maria Corpade; Carmen Adriana Gheorghe; Nicolae Manta; Mihaita-Iulian Niculae; Ionuţ Silviu Pascu; Róbert Eugen Szép; Steliana Rodino
Journal:  Int J Environ Res Public Health       Date:  2021-05-31       Impact factor: 3.390

7.  An expanded fish-based index of biotic integrity for Great Lakes coastal wetlands.

Authors:  Matthew J Cooper; Gary A Lamberti; Ashley H Moerke; Carl R Ruetz; Douglas A Wilcox; Valerie J Brady; Terry N Brown; Jan J H Ciborowski; Joseph P Gathman; Greg P Grabas; Lucinda B Johnson; Donald G Uzarski
Journal:  Environ Monit Assess       Date:  2018-09-10       Impact factor: 2.513

8.  Evaluation of a wetland classification system devised for management in a region with a high cover of peatlands: an example from the Cook Inlet Basin, Alaska.

Authors:  Michael Gracz; Paul H Glaser
Journal:  Wetl Ecol Manag       Date:  2016-10-19       Impact factor: 1.379

  8 in total

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