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The Levantine basin in the Eastern Mediterranean Sea is subject to spatial and seasonal variations in primary production and physical-chemical properties both on a short and long-term basis. In this study, the monthly means of daily MODIS product images were averaged between 2002 and 2015, and used to characterize the phytoplankton blooms in different bioregions of the Levantine basin. The selected products were the sea surface temperature (SST), the chlorophyll-a concentration (Chl-a), the diffuse attenuation coefficient for downwelling irradiance at 490 nm (Kd_490) and the colored dissolved organic matter index (CDOM_ index). Our results showed that phytoplankton blooms were spatially and temporally variable. They occurred in late autumn at the Nile Delta, in early spring and late summer at the eastern coastline, and in spring at the northeastern coastline. The northern coastline and the open water had a common bloom occurring in winter. The Nile Delta was found to be the most productive area of the Levantine basin showing high Chl-a. Kd_490 and Chl-a present a parallel co-variation indicating a dominance of Case 1 waters in the Levantine basin. The CDOM_index shows a phase shift with the Chl-a fluctuation. A strong inverse correlation was observed between both Chl-a and CDOM_index with SST, connoting an indirect relation represented by a depression of CDOM in summer by photobleaching, and a suppression of the chlorophyll-a concentration due to water stratification, together with nutrient stress. An overestimation of the Chl-a values had been signaled by the use of the CDOM_index, suggesting a correction plan in a latter study.
Using laboratory cultures of algae and natural phytoplankton populations from Nhatrang Bay (South China Sea), the relationship between the chlorophyll fluorescence F0, the chlorophyll a concentration Ca and light absorption capacities of algae cells was studied. It is shown that the ratio F0/Ca depends mainly on the species composition of the algae population; hence, the concentration Ca can be measured with the fluorescence method with acceptable accuracy only when the species composition of algae populations varies over a rather narrow range. The fluorescence F0 can, however, be a good index of the total absorption capacities of different phytoplankton species, because the intensity of F0 depends on the sum total of light absorbed by all photosynthetic pigments in a plant cell. Thus, the fluorescence F0 measures not only the concentration of chlorophyll a, but that of all photosynthetic pigment concentrations.
Industrial processes and the use of fertilizers are the main causes for the rapid eutrophication of lakes. Different indices, both chemical and biological, may be used to assess a level and a rate of the eutrophication process. Zooplankton indices can be among them, as zooplankton community structure is determined primarily by the physical and chemical environment and modified by biological interactions, i.e. predation and interspecific competition for food resources. Among biological indices of trophic state of lake, those based on densities and structure of crustacean communities seem to respond weaker. There are, however, patterns of crustacean communities connected with trophic state of lakes. Thus, an increase in trophic state causes: (1) an increase in the total numbers of crustaceans; (2) an increase in the total biomass of Cyclopoida; (3) an increase in the contribution of the biomass of Cyclopidae to the total crustacean biomass; (4) an increase in the ratio of the biomass of Cyclopoida to the biomass of Cladocera; (5) a decrease in the average body weight of Crustacea; (6) an increase in the ratio of Cladocera to Calanoida numbers; (7) an increase in the ratio of Cyclopoida to Calanoida numbers; (8) an increase in the dominance of species indicative of high trophy (Mesocyclops leuckartii, Thermocyclops oithonoides, Diaphanosoma brachyurum, Chydorus sphaericus, Bosmina (Eubosmina) coregoni thersites) in the numbers of all indicative species. Crustacean zooplankton was sampled at the deepest place in a lake at 1 m intervals from the surface to the bottom of epilimnion layer, and then samples were pooled together for the layer. Samples were taken once a year, during the summer stagnation. The material was collected from a total of 41 dimictic and 33 polymictic lakes within Masurian Lake District, Iława Lake District and Lubawa Upland. Among above-mentioned indices, six were the best correlated with trophic state of lakes. Below are formulas which enable to assess trophic state of lakes regardless of their mixis type (TSICR) from parameters of abundance and structure of crustacean communities: (1) TSICR1 = 25.5 N⁰‧¹⁴² (R² = 0.32), where TSI = trophic state index; N = numbers (ind. l⁻¹); (2) TSICR2 = 57.6 B⁰‧⁰⁸¹ (R² = 0.37), where B = biomass (mg w.wt. l⁻¹); (3) TSICR3 = 40.9 CB⁰‧⁰⁹⁷ (R² = 0.35), where CB = percentage of biomass of Cyclopoida in the total biomass of Crustacea (%); (4) TSICR4 = 58.3 (CY/CL)⁰‧⁰⁷¹ (R² = 0.30), where CY/ CL = ratio of the Cyclopoida biomass to the biomass of Cladocera (%); (5) TSICR5 = 5.08 Ln (CY/CA) + 46.6 (R² = 0.37), where CY/CA = ratio of Cyclopoida numbers to the numbers of Calanoida; (the relationship covering exclusively dimictic lakes); (6) TSICR6 = 43.8 e⁰‧⁰⁰⁴ (IHT) (R² = 0.30), where IHT = percentage of species indicative of high trophy in the indicative group’s numbers. It was assumed that the lakes with a TSICR under 45 are mesotrophic, those with a TSICR value of 45–55 are meso-eutrophic, those with a TSICR value of 55–65 – eutrophic and those with a TSICR above 65 – hypertrophic. Although crustacean indices of trophic state of lakes seem to be less useful than other biological indices, they may be recommended in assessing the quality of lake waters.
The space-time dynamics of chlorophyll a concentration and seawater excess viscosity has been investigated in the hydrographically contrasting inshore and offshore water masses of the eastern English Channel. This was done during the phytoplankton spring bloom dominated by Phaeocystis globosa before and after the very large-scale formation of foam induced by an increase in wind-driven turbulence and the related wave breakings. The results suggest that the dynamics of chlorophyll a concentration and seawater excess viscosity are differentially controlled by the formation of foam through the intensity of the spring bloom and wind-generated turbulence.
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