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The outflow of freshwater from underwater channels in the Kongsbreen tidal glacier in Kongsfjorden, Svalbard, 79◦ N, was measured as 138.8 m3 s−1 at the peak of the melting season. Experiments on local marine plankton mortality show that when exposed to salinities below 9 PSU, all copepods die within 15 minutes. We estimate that during 100 days of the melting season, as many as 85 tonnes wet weight (WW) of plankton is removed from the water column due to osmotic shock, which makes up 15% of the standing zooplankton biomass of the fjord. The dead zooplankton sinks after exposure to low salinities and is probably an important food source for scavenging benthic fauna in the fjord. This mechanism could be responsible for the high numbers of Onisimus caricus near the glacier front.
The effect of the turbulent mixing processes within fine structure of hydrophysical field on the prey and predator biomass is presented. The calculations were made on the basis of an one-dimensional prey-predator ecosystem model on the assumption of an absolutely stable vertical distribution of the average sea water density and that vertically intermittent layer are horizontally homogeneous. This model was tested with data obtained from the southern Gdansk Gulf (Baltic Sea). The vertical distributions of temperature and salinity fields were taken as initial conditions for various simulations. The numerical simulations were computed for different values of the wind speed. This study reveals that an intensity of the layer-mixing increase with the increase of the wind speed and duration of the turbulent disturbance. For low values of wind speed (U₁₀ < 2 m s⁻¹) and for short time of action of hydrodynamic sources of mixing (tₜ < 60 min.), fine-scale interlayering is not created in investigated case. It is also shown that the thicker the layer, the smaller the structural anomaly. The presented results demonstrate that the dynamic processes are responsible for the shape of vertical profiles of investigated characteristics to the same extent as physiological processes. Hydrodynamic conditions play a basic role where the microstructure of investigated functions is concerned.
This article is an overview which presents in brief some of the results of research done in the last 20 years on the structure and dynamics of intermittent fine structure in the euphotic zone of the sea and its effect on the behaviour of marine plankton. The introduction provides a general characterisation of this structure and its relations with the plankton concentration field. Chapter 2 covers turbulent mixing processes in layers of homogeneous fine structure,and discusses the dynamic interactions of these layers and how these affect the behaviour of marine phyto- and zooplankton. The principal conclusions,in brief, are that the current state of knowledge,no t only of intermittent fine structure itself and its dynamic transformations,but also of the influence of these processes on the behaviour of marine plankton,i s today still a long way from permitting an accurate description of reality. Moreover,b oth empirical investigations (in situ and in the laboratory) and mathematical modelling,despite the quite advanced stage that the latter has reached,need to be continued. For this reason the prime aim of this article is to show up the gaps in our knowledge which future research in this complex,in terdisciplinary area of oceanography should attempt to fill.
The paper presents a one-dimensional Coupled Ecosystem Model (1DCEM) consisting of three submodels: a meteorological submodel for the physics of the upper layer and a biological submodel, which is also driven by output from the physical submodel. The biological submodel with a high-resolution zooplankton module and a simple prey-predator module consists of seven mass conservation equations. There are six partial second-order differential equations of the diffusion type for phytoplankton, microzooplankton, mesozooplankton, fish, and two nutrient components (total inorganic nitrogen and phosphate). The seventh equation, an ordinary differential equation, describes the development of detritus at the bottom. In this model the mesozooplankton (herbivorous copepods) is represented by only one species – Pseudocalanus elongatus – and is composed of 6 cohorts. The fish predator is represented by 3 cohorts of early juvenile herring Clupea harengus. Hence, the biological submodel consists of an additional twelve equations, six for weights and six for the numbers in 6 cohorts of P. elongatus, and three equations for the biomasses of 3 predator cohorts. This model is an effective tool for solving the problem of ecosystem bioproductivity and was tested in Part 2 for one partcular year.
This work presents numerical simulations of the time-dependent vertical distributions of phytoplankton, microzooplankton, Pseudocalanus elongatus, early juvenile herring (Clupea harengus) and two nutrient components (total inorganic nitrogen and phosphate) using the 1D-Coupled EcosystemMo del with a highresolution mesozooplankton (herbivorous copepods) module for P.elongatus and a simple prey-predator model for early juvenile herring C. harengus. This m odel was discussed in detail in Part 1. The calculations were done for one year (1999) for a station in the Gdańsk Deep (southern Baltic Sea). The results of the simulations were compared with the mean concentrations of nutrients, phytoplankton and zooplankton recorded in situ. The differences between the calculated and mean recorded values of nutrients and phytoplankton are c. 5–30% and depend on the month and depth for which the calculations were done. However, the calculated depth-integrated biomass of P. elongatus differs fromthe mean recorded value. This difference ranges from30 to 50% at the end of May. The 1DCEM model can be used to forecast ecological changes in the southern Baltic Sea.
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