2010
DOI: 10.1093/plankt/fbq142
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Low microzooplankton grazing rates in the Arctic Ocean during a Phaeocystis pouchetii bloom (Summer 2007): fact or artifact of the dilution technique?

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Cited by 46 publications
(51 citation statements)
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“…1). These trends in BCF values are due in part to changes in phytoplankton community and abundance, which was dominated by colonies of Phaeocystis pouchetti, and followed by diatoms, the abundance of which showed a dependence with temperature [26][27] . Indeed, PCB concentrations in phytoplankton were significantly correlated with biomass abundance (C P = 2.99×Phaeocystis Biomass + 43.5, r 2 = 0.76, P < 0.01), and the variability in seawater and plankton-phase concentrations was higher in the ice-margin zone.…”
Section: Discussionmentioning
confidence: 99%
“…1). These trends in BCF values are due in part to changes in phytoplankton community and abundance, which was dominated by colonies of Phaeocystis pouchetti, and followed by diatoms, the abundance of which showed a dependence with temperature [26][27] . Indeed, PCB concentrations in phytoplankton were significantly correlated with biomass abundance (C P = 2.99×Phaeocystis Biomass + 43.5, r 2 = 0.76, P < 0.01), and the variability in seawater and plankton-phase concentrations was higher in the ice-margin zone.…”
Section: Discussionmentioning
confidence: 99%
“…The relative contribution of phytoplankton to zooplankton food was estimated as the quotient between >5 µm chlorophyll carbon and total microplankton carbon (C CHL /ZF). A detailed description of the method can be found in Calbet et al (2011). The taxonomic composition of zooplankton in the experiments was estimated using automatic image analysis and identification software as described below.…”
Section: Variability Sources For Zooplankton Metabolism Other Than Tementioning
confidence: 99%
“…It is very likely that this proportion is higher because experiments with nonsignificant slopes often are not published. Moreover, some researchers choose not to report the values of nonsignificant slopes (i.e., grazing rates; e.g., Kamiyama 1994;Caron et al 2000;Calbet et al 2010). I argue that the rejection of results from dilution experiments because they do not conform to the usual null hypothesis leads to an overestimation of the grazing rates in published databases.…”
mentioning
confidence: 99%
“…From this exercise, it is clear that the rejection of experiments with grazing rates not statistically different from zero, based on a model where H 0 : b 5 0, will result in overestimates of grazing and growth rates in the published literature. On the other hand, some investigators (Strom et al 2001;Calbet and Landry 2004;Sherr et al 2009) substituted slightly negative grazing rates by a value of zero because negative rates are theoretically impossible. In the database of Table 1, this change would have resulted in an overesti- Fig.…”
mentioning
confidence: 99%
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