[1] Using closed chamber techniques, soil fluxes of NO, N 2 O, and CO 2 were measured from September 1999 to November 2000 in savanna areas of central Brazil (cerrado) subjected to prescribed fires. Our studies focused on two vegetation types, cerrado stricto sensu (20-50% canopy cover) and campo sujo (open, grass dominated), which were either burned every 2 years or protected from fire. Soil moisture and vegetation type were more important in controlling NO and CO 2 fluxes than fire regime (early dry season, middle dry season or late dry season burning). N 2 O fluxes, however, were very low and below detection limit in any of the vegetation-fire treatments. NO emissions increased after burning (1.0 ng NO-N cm À2 h À1 ), but flux returned quickly to prefire levels and even lower. In comparison, NO emissions increased 100-fold (to 10.5 ng NO-N cm À2 h À1 ) during a water-addition experiment in unburned campo sujo, and to 1.0 ng NO-N cm À2 h À1 in unburned cerrado and 1.9 ng NO-N cm À2 h À1 in burned cerrado with the first rains. Low NO and N 2 O emissions, low nitrification rates, and the majority of inorganic N in the form of NH 4 + all indicate a conservative N cycle in the cerrado. CO 2 fluxes increased with the onset of the rainy season and after artificial water addition. The highest CO 2 measured in the wet season was 6.3 mmol CO 2 m À2 s À1 in burned campo sujo. During the dry season, soil respiration in burned and unburned treatments were similar (average flux = 1.6-2.3 mmol CO 2 m À2 s À1 ). Differences between fire treatments of cerrado and campo sujo CO 2 fluxes are attributed to differences in relative litter production and root activity.

Bed sediments of streams and rivers may store high concentrations of fecal indicator bacteria (FIB) and pathogens. Due to resuspension events, these contaminants can be mobilized into the water column and affect overall water quality. Other bacterial indicators such as microbial source tracking (MST) markers, developed to determine potential sources of fecal contamination, can also be resuspended from bed sediments. The primary objective of this study was to predict occurrence of waterborne pathogens in water and streambed sediments using a simple statistical model that includes traditionally measured FIB, environmental parameters and source allocation, using MST markers as predictor variables. Synoptic sampling events were conducted during baseflow conditions downstream from agricultural (AG), forested (FORS), and wastewater pollution control plant (WPCP) land uses. Concentrations of FIB and MST markers were measured in water and sediments, along with occurrences of the enteric pathogens Campylobacter, Listeria and Salmonella, and the virulence gene that carries Shiga toxin, stx2. Pathogens were detected in water more often than in underlying sediments. Shiga toxin was significantly related to land use, with concentrations of the ruminant marker selected as an independent variable that could correctly classify 76% and 64% of observed Shiga toxin occurrences in water and sediment, respectively. FIB concentrations and water quality parameters were also selected as independent variables that correctly classified Shiga toxin occurrences in water and sediment (54%-87%), and Salmonella occurrences in water (96%). Relationships between pathogens and indicator variables were generally inconsistent and no single indicator adequately described occurrence of all pathogens. Because of inconsistent relationships between individual pathogens and FIB/MST markers, incorporating a combination of FIB, water quality measurements, and MST markers may be the best way to assess microbial water quality in mixed land use systems.

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