Is the GDH/RNH4+ ratio in the mesozooplankton constant through different oceanic systems?

[EN] Nitrogen (N) is essential for life, but its availability is frequently limited in ocean ecosystems. Among all the compounds which influence the N pool, ammonium (NH4+) represents the major source of N for autotrophs. This NH4+ is provided by bacterial remineralization and heterotrophic grazers, with the mesozooplankton responsible for 12% to 33% of the total NH4+ recycled.  Quantifying the excretion physiology of zooplankton is then, necessary to understand the basis of an aquatic ecosystem’s productivity.
The measurement of glutamate dehydrogenase (GDH) activity has been widely used to assess the NH4+ excretion rates in planktonic communities. However, its relationship with the physiology varies with temperature and the nutritional status of the organisms, among other variables. Here we compare the GDH/RNH4+ ratio between oceanic regions with different trophic conditions.  Strengthening our knowledge of the relationship between GDH activities and the NH4+ excretion rates will lead to more meaningful interpretations of the mesoscale variations in planktonic NH4+ excretion.

Is the GDH/RNH4+ ratio in the mesozooplankton constant through different oceanic systems?

[EN]Nitrogen (N) is essential for life, but its availability is frequently limited in ocean ecosystems. Among all the compounds which influence the N pool, ammonium (NH4+) represents the major source of N for autotrophs. This NH4+ is provided by bacterial remineralization and heterotrophic grazers, with the mesozooplankton responsible for 12% to 33% of the total NH4+ recycled. Quantifying the excretion physiology of zooplankton is then, necessary to understand the basis of an aquatic ecosystem?s productivity. The measurement of glutamate dehydrogenase (GDH) activity has been widely used to assess the NH4+ excretion rates in planktonic communities. However, its relationship with the physiology varies with temperature and the nutritional status of the organisms, among other variables. Here we compare the GDH/RNH4+ ratio between oceanic regions with different trophic conditions. Strengthening our knowledge of the relationship between GDH activities and the NH4+ excretion rates will lead to more meaningful interpretations of the mesoscale variations in planktonic NH4+ excretion.

Engineering knowledge-based variance-reduction simulation and G-dominance for structural frame robust optimization

[EN] This paper proposes the incorporation of engineering knowledge through both (a) advanced state-of-the-art preference handling decision-making tools integrated in multiobjective evolutionary algorithms and (b) engineering knowledge-based variance reduction simulation as enhancing tools for the robust optimum design of structural frames taking uncertainties into consideration in the design variables.The simultaneous minimization of the constrained weight (adding structuralweight and average distribution of constraint violations) on the one hand and the standard deviation of the distribution of constraint violation on the other are handled with multiobjective optimization-based evolutionary computation in two different multiobjective algorithms. The optimum design values of the deterministic structural problem in question are proposed as a reference point (the aspiration level) in reference-point-based evolutionary multiobjective algorithms (here g-dominance is used). Results including