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Comparison of our CO2 emission�CA250/A365 data (from reservoirs, where the relationship was significant) with the pCO2�CA250/A365 data from Swedish lakes (Sobek et?al., 2003) showed that CO2 emission and pCO2 tended to be higher at A250/A365 values close to 4 (Fig.?2b). As mentioned earlier, factors explaining changes in BP, BSP (ratio of BP to total bacterial abundance), and HNF abundance were also examined to better understand http://www.selleckchem.com/products/Metformin-hydrochloride(Glucophage).html the influence of microbial communities on variation of emissions in lakes vs. reservoirs. Two major differences were found between lakes and reservoirs in regressions dealing with these variables. First, in reservoirs, BP was positively related to HNF abundance, and the latter was negatively related to ciliates (which had an effect stronger than that of temperature), whereas in lakes, such links were not found (Table?5). Second, the most important explanatory variable for BSP in lakes was % HNA (bacteria with high nucleic acid content), whereas in reservoirs it was HNF (i.e. grazers of bacteria) (Table?5). Removal of data from reservoir SM3 did not change or had only a minor effect on the factors that explained the variation in the independent variables of interest, i.e. CO2 emission and HNF abundance (see Fig.?1, Tables?5 and 6). Lakes and reservoirs also exhibited strong differences in the relationships between BP and O2 concentration and between DOC concentration and A250/A365. Overall, O2 concentration significantly decreased as BP increased across stations (R2?=?0.29; P? http://www.selleckchem.com/products/BIBF1120.html but when the data were split (lakes vs. reservoirs), the relationship http://www.selleck.cn/products/carfilzomib-pr-171.html between these two variables was significant only for reservoirs (Fig.?2c). Likewise, the ratio A250/A365 significantly increased across stations with DOC concentration in reservoirs but not in lakes (Fig.?2d). The BP�CO2 and the DOC�CA250/A365 relationships found for reservoirs remained significant after removal of data from SM3 (R2?=?0.24, P?=?0.01, and R2?=?0.14, P?=?0.031, respectively). All these results from tests with and without SM3 data indicated that the importance of this 1-year-old reservoir in driving differences between lakes and reservoirs in the factors explaining variation in CO2 emission was minor. Differences were also found between reservoirs and lakes in the variability of zooplankton ��13C signature (Fig.?3a) and in its coupling with CO2 emission. These two variables were negatively related in reservoirs, whereas in lakes, they were not correlated (Fig.?3b). To check for potential differences in food web structure between lakes and reservoirs that could affect CO2 emissions, our data were fitted to the model of McCauley & Kalff (1981) which has been developed using lake and reservoir data, to predict crustacean zooplankton biomass from PhB. Most of the observed values deviated from the predicted values (Fig.