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Plant species indicators of physical environment in Great Lakes coastal wetlands

Johnston, C.A., Bedford, B.L., Bourdaghs, M., Brown, T., Frieswyk, C., Tulbure, M., Vaccaro, L. and Zedler, J.B. (2007) Plant species indicators of physical environment in Great Lakes coastal wetlands. Journal of Great Lakes Research, 33 (SI 3). pp. 106-124.

Link to Published Version:[106:PS...
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Plant taxa identified in 90 U.S. Great Lakes coastal emergent wetlands were evaluated as indicators of physical environment. Canonical correspondence analysis using the 40 most common taxa showed that water depth and tussock height explained the greatest amount of species-environment interaction among ten environmental factors measured as continuous variables (water depth, tussock height, latitude, longitude, and six ground cover categories). Indicator species analysis was used to identify species-environment interactions with categorical variables of soil type (sand, silt, clay, organic) and hydrogeomorphic type (Open-Coast Wetlands, River-Influenced Wetlands, Protected Wetlands). Of the 169 taxa that occurred in a minimum of four study sites and ten plots, 48 were hydrogeomorphic indicators and 90 were soil indicators. Most indicators of Protected Wetlands were bog and fen species which were also organic soil indicators. Protected Wetlands had significantly greater average coefficient of conservatism (C) values than did Open-Coast Wetlands and River-Influenced Wetlands, but average C values did not differ significantly by soil type. Open-Coast and River-Influenced hydrogeomorphic types tended to have sand or silt soils. Clay soils were found primarily in areas with Quaternary glaciolacustrine deposits or clay-rich tills. A fuller understanding of how the physical environment influences plant species distribution will improve our ability to detect the response of wetland vegetation to anthropogenic activities.

Item Type: Journal Article
Publisher: International Association for Great Lakes Research
Copyright: © International Association for Great Lakes Research
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