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Record Search Query:
ServiceParameters>MODELS>PHENOMENOLOGICAL MODELS
Submerged Aquatic Vegetation Model
Entry ID: USGS_SAVM
Summary
Abstract:
The ability to predict the distribution of submersed aquatic vegetation in the
Upper Mississippi River on the basis of physical or chemical variables is useful to resource managers. Wildlife managers have a keen interest in advanced estimates of food quantity such as American wildcelery (Vallisneria americana) population status to give out more informed advisories to hunters before the fall ... ![]()
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