STRATIFIED RANDOM SAMPLING OF SUBMERSED AQUATIC VEGETATION ON POOL 13, UPPER MISSISSIPPI RIVER SYSTEM, FROM 1998 TO 1999 Theresa Blackburn. Mississippi Monitoring Station, Iowa Department of Natural Resources, 206 Rose Street, Bellevue, IA 52031. In 1998, the Long Term Resource Monitoring Program initiated a stratified random sampling protocol to monitor submersed aquatic vegetation (SAV) in the Upper Mississippi River System (UMRS). The primary objective of the monitoring is to determine the status and trends of SAV within target pools of the UMRS. During each summer in 1998 and 1999, SAV data were collected in Pool 13 at 550 sites randomly distributed within shallow aquatic areas (<=3 m in 1998 and <=2.5 m in 1999). The shallow aquatic areas were classified into 7 habitat strata including contiguous and isolated backwaters, main and side channel borders and the impounded area. Data collected included both visual observation and rake samples. The data enable us to construct a profile of SAV in each habitat stratum and in the entire Pool 13. Frequency of SAV remained about the same throughout Pool 13 in 1998 and 1999. Isolated backwaters contained the most SAV in both 1998 and 1999. Fifteen species of SAV were encountered in Pool 13 in both 1998 and 1999 with thirteen species occurring in contiguous backwater strata in 1998 and thirteen species occurring in the impounded area in 1999. Coontail (Ceratophyllum demersum) and sago pondweed (Potamogeton pectinatus) were the most frequently encountered and abundant species in both years in most strata. Coontail was not sampled at main channel boarder sites in 1999. Coontail and sago pondweed were distributed throughout the entire pool. Eurasian milfoil (Myriophyllum spicatum), wild celery (Vallisneria americana) and water stargrass (Heteranthera dubia) were not found in backwater isolated strata and were distributed only in the lower half of the pool. Keywords: submersed aquatic vegetation, Upper Mississippi River, trend analysis, stratified random sampling, Long Term Resource Monitoring Program _________________________________________________________________________________ 1