The use of an image-based approach for the assessment of zooplankton physiological rates: A comparison with enzymatic methods

Abstract

Measuring zooplankton biomass and physiological rates is of paramount importance in biological oceanography in order to assess the role of this community in, e.g. carbon fluxes. Classical methods (incubations) are very time-consuming and cannot match the frequency of physical and chemical measurements. Attempting to solve this, a variety of methods (e.g. egg production, RNA/DNA ratio or enzyme activities) have been developed over the last decades. These methods also show uncertainties and hitherto only incubation methods have been widely accepted. Predictive equations relating physiological processes and body weight (bw) and temperature are a rough alternative, normally used to ascertain the role of these organisms in the oceanic ecosystem. However, using imaging systems and empirical relationships to determine bw allows the application of physiological models to each individual, obtaining reliable estimates for taxonomic groups and size classes. In this study, we developed predictive equations suitable for growth and respiration estimations in subtropical regions. In addition, biomass and physiological rates assessed from empirical equations in combination with an image-based system (ZooImage) were compared with standard and enzymatic methods, respectively. We observed a consistent agreement between methodologies, the former resulting in an inexpensive and faster procedure for the appraisal of biomass and community carbon fluxes at large spatial and temporal scales.