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A predictive model for floating leaf vegetation in the St. Louis River Estuary
Citation:
Angradi, T. A predictive model for floating leaf vegetation in the St. Louis River Estuary. U.S. EPA Office of Research and Development, Washington, DC, 2015.
Impact/Purpose:
Our objective was to create a predictive logistic mode to predict probability of occurrence of FLV in the SLRE. Previous wetland vegetation models for the SLRE (Angradi et al. 2013, Host et al. 2012) were based on visual or hydroacoustic detection of FLV. The model described herein was developed from data derived from photo-interpretation.
Description:
In July 2014, USEPA staff was asked by MPCA to develop a predictive model for floating leaf vegetation (FLV) in the St. Louis River Estuary (SLRE). The existing model (Host et al. 2012) greatly overpredicts FLV in St. Louis Bay probably because it was based on a limited number of observations of this wetland type and because their definition of FLV included areas of mixed floating and submerged aquatic vegetation, which is more widespread than FLV alone. A more reliable model specific to floating plants could be included in the biological design basis for restoration projects in the SLRE.