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When emission data from our reservoirs were fitted to the model of St-Louis et?al. (2000), the slope and the intercept of the initial model did not change significantly (ancova, F??0.54) (Fig.?1f). However, there was no systematic effect of the age or of the WRT of the reservoir on these variables or the other analyzed in the present study (Fig.?1a,b,d,e). Reservoirs had higher mean values for CO2 emission and the BP/temperature ratio (Table?3). By contrast, lakes had significantly higher means for water temperature, Daphnia size, and zooplankton ��13C signature. Note that although http://www.selleckchem.com/products/BIBF1120.html significant differences in isotopic signatures could be found between zooplankton taxa, partition of variance revealed that taxonomy explained only 10% of variation in ��13C in these ecosystems (Marty & Planas, 2005), therefore allowing the use of a single mean value for zooplankton ��13C. For the other variables studied, no significant difference was found between lakes and reservoirs (Table?3). Removal of data from the newly flooded reservoir SM3 changed the results of the comparison only for CO2 emission; the mean value for lakes became similar to that of reservoirs (Table?3). Regression analyses performed with the whole data set showed that CO2 emissions were correlated negatively with temperature and positively with A250/A365 and BP (Table?4). These three variables explained 50% of the across-station variation in CO2 emissions. Temperature had the strongest effect followed by BP and A250/A365. Calculation of seasonal means, following the observed negative relationship with temperature, http://www.selleck.cn/products/carfilzomib-pr-171.html showed that CO2 emissions (without the four exceptionally high values >?9000 mg m?2?day?1) were higher in spring (2098.8 �� 1489.4 mg?m?2?day?1) than in summer (1200 �� 1324.7 mg m?2?day?1) (P? http://www.selleckchem.com/products/Metformin-hydrochloride(Glucophage).html contrast, PhB was significantly higher in summer (61.4?��?28.1?��g?L?1) than in spring (43.7?��?25.3?��g?L?1) (P?=?0.02). Multiple regression results showed strong differences between lakes and reservoirs in the control of CO2 emissions. In lakes, CO2 emissions were correlated, negatively to temperature and positively to BP, whereas in reservoirs, they were correlated negatively with PhB/MhB and positively with A250/A365 (Fig.?2a,b; Table?5). Simple regression analyses confirmed that CO2 emission was significantly correlated with PhB/MhB and with A250/A365 in reservoirs, but not in lakes (Fig.?2a,b; for A250/A365, R2?=?0.40; P?