TEMPORAL AND SPATIAL PATTERNS IN CHLOROPHYLL CONCENTRATION OF TRANSPORTED ORGANIC MATTER IN THE UPPER MISSISSIPPI RIVER Emily R. Forde and Michael D. Delong Large River Studies Center and Biology Department, Winona State University, Winona MN, 55987 Recent studies have shown algal transport organic matter (TOM) to be an important influence on food web dynamics in large rivers. Unfortunately, research has been limited to main channel habitats and addressed limited spatial scales. This study examined how the abundance of algal TOM changed temporally in different habitats of the Upper Mississippi River. This was addressed by sampling different particle sizes of TOM from April to September 2004 in side channel, backwater and main channel habitats of the Upper Mississippi River near Winona, MN. Samples were drawn monthly from four point transects across the channel at a depth of 1 meter and divided into fine (FTOM; 100-1000 ?m) and ultrafine (UTOM; 1-100 ?m). TOM samples were then split into algal and detrital fractions using colloidal silica. Chlorophyll concentrations were determined spectrophotometrically, using the monochromatic method. Similar temporal trends were evident for both UTOM and FTOM. Chlorophyll concentrations increased between April and May, which corresponded to a decrease in discharge. Concentrations declined from May to June as discharge increased to its spring maxima. Both UTOM an FTOM increased to highest observed concentrations in August during baseflow condition. Only small differences in chlorophyll concentrations were evident between habitats, with all three exhibiting similar temporal patterns. Overall, however, concentrations were slightly higher in the main channel. This study indicated that an inverse relationship exists between chlorophyll concentrations of phytoplankton and discharge. Small differences observed between habitats demonstrate the productivity capacity of lotic habitats within the river. Keywords: chlorophyll concentration, Mississippi River, transport organic matter, food web, large river, habitat