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Dynamics of phytoplankton

Malone, T.C., Crocker, L.H., Pike, and Wendler, B.W. (1988) Influences of river flow on the dynamics of phytoplankton production in a partially stratified estuary. Mar. Ecol. Prog. Ser. 48, 235-249. [Pg.622]

Landry MR, Hassett RP (1982) Estimating the grazing impact of marine micro-zooplankton. Mar Biol 67 283-288 Landry MR, Selph KE, Brown SL, et al (2002) Seasonal dynamics of phytoplankton in the Antarctic Polar Front region at 170 W Deep Sea Res Part II Top Stud Oceanogr 49 1843-1865... [Pg.169]

Wilson WH, Turner S, Mann NH (1998) Population dynamics of phytoplankton and viruses in a phosphate-limited mesocosm and their effect on DMSP and DMS production. Estuar Coast Shelf Sci 46 49-59... [Pg.276]

Landry, M., Constantinou, J., Latasa, M., Brown, S., Bidigare, R., and Me, O. (2000). Biological response to iron fertilization in the eastern equatorial Pacific (IronEx II). III. Dynamics of phytoplankton growth and microzooplankton grazing. Mar. Ecol. Prog. Ser. 201, SI—12. [Pg.1620]

The role of Fe as a limiting nutrient has been well established in the last decade in the so-called high-nutrient low chlorophyll regions of the oceans. A series of massive iron seeding experiments carried out to test the iron hypothesis advanced by Martin and Fitzwater (1988) have unequivocally shown that iron supply limits plankton production in one third of the world s oceans, despite the perennially high surface concentration of macronutrients (Fig. 7.1). The dynamics of phytoplankton blooms are limited by iron supply, which... [Pg.134]

Reynolds C.S., Wiseman S.W., Godfrey B.M., Butterwick C. (1983) Some effects of artificial mixing on the dynamics of phytoplankton populations in large limnetic enclosures. J. Plankton Res. 5, 203—34. [Pg.353]

A model of the dynamics of phytoplankton populations based on the principle of conservation of mass has been presented. The growth and death kinetic formulations of the phytoplankton and zooplankton have been empirically determined by an analysis of existing experimental data. Mathematical expressions which are approximations to the biological mechanisms controlling the population are added to the mass transport terms of the conservation equation for phytoplankton, zooplankton, and nutrient mass in order to obtain the equations for the phytoplankton model. The resulting equations are compared with two years data from the tidal portion of the San Joaquin River, California. Similar comparisons have been made for the lower portion of Delta and are reported elsewhere (62). [Pg.183]

The nullclines of that model are shown in Fig. 3.6 for several parameter values. We see the remarkable similarity with the reduced Oregonator or the FitzHugh-Nagumo models of Sect. 3.1.4 Also, the dynamics of phytoplankton is faster than zooplankton (r b, c),... [Pg.116]

Wang J, Kang Y (1998) Study on population dynamics of phytoplankton in the Bohai Sea. Mar Fish Res 19(l) 43-52 (in Chinese with English abstract)... [Pg.135]

Dachs J, Eisenreich SJ, Baker JE, Ko FC, Jeremiason JD (1999) Coupling of phytoplankton uptake and airwater exchange of persistent organic pollutants. Environ Sci Technol 33 3653-3660 Dachs J, Lohmann R, Ockenden WA, Mejanelle L, Eisenreich S, Jones KC (2002) Oceanic bio-geochemical controls on global dynamics of persistent organic pollutants. Environ Sci Technol 36 4229 1237... [Pg.98]

Few studies have addressed the dynamics of suspended and attached primary producers in the Ebro basin. Previous data on phytoplankton assemblages are available only for the Ebro delta [6], and for phytoplankton occurring in the lower course of the river [7, 8]. However, there is no information about other... [Pg.123]

Sabater S, Munoz I (1990) Successional dynamics of the phytoplankton in the lower part of the river Ebro. J Plankton Res 12 573-592... [Pg.136]

The prevailing view of the dynamics of many phytoplankton blooms is that they often terminate due to nutrient exhaustion, increased grazing pressure, and/or physical dispersal. Evidence is now accumulating that tamarensis blooms have ended when grazing and advection were low and nutrients were above detection limits (18, 21). Instead of persisting without division as nutrients disappear... [Pg.135]

Furnas, M.3., 1982. The dynamics of summer phytoplankton populations in Narragansett Bay. Ph. D. Thesis, University of Rhode Island, Kingston, RI. [Pg.119]

Figure 6.7. Influence of the Barents Sea ecosystem on the dynamics of oil hydrocarbons in seawater. Curves 1 and 2 show the simulation results for phytoplankton (solid curve) and oil hydrocarbons (dashed curve), respectively. Curves 3 and 4 show the yearly distribution of phytoplankton in the southwestern, northern and, northeastern aquatories of the Barents Sea, respectively. From Terziev (1992). Figure 6.7. Influence of the Barents Sea ecosystem on the dynamics of oil hydrocarbons in seawater. Curves 1 and 2 show the simulation results for phytoplankton (solid curve) and oil hydrocarbons (dashed curve), respectively. Curves 3 and 4 show the yearly distribution of phytoplankton in the southwestern, northern and, northeastern aquatories of the Barents Sea, respectively. From Terziev (1992).
Pinckney, J.L., Paerl, H.W., Harrington, M.B., and Howe, K.E. (1998) Annual cycles of phytoplankton community-structure and bloom dynamics in the Neuse River estuary, North Carolina. Mar. Biol. 131, 371-381. [Pg.644]

In the development of the populations of planktonic and bottom algae one can trace the seasonal dynamics of the phytocoenosis represented by the alternation of the dominating species and by the changes in their abundance and biomass. In the years different with respect to the climatic conditions, the species composition as well as the dynamics of the abundance and production of algae strongly varies. With respect to the level of the primary production, the Black Sea ecosystem may be referred to as a mesotrophic-type of marine basin. In mesotrophic waters, the phytoplankton consumption by zooplankton, which represents an important food object for fish with short lifecycles, proceeds more intensively than in oligotrophic waters. The coefficient of matter transfer from the primary production to the higher trophic levels is about... [Pg.370]

Georgieva LV (1993) Phytoplankton. Specific composition and dynamic of phytocenosis. In Kovalev AV, Finenko ZZ (eds) Plankton of the Black Sea. Naukova Dumka, Kiev, p 31 (in Russian)... [Pg.371]

Arrigo KR, Weiss AM, Smith WO (1998) Physical forcing of phytoplankton dynamics in the southwestern Ross Sea. J Geophys Res 103(C1) 1007-1022 Arrigo KR, Robinson DH, Worthen DL, Dunbar RB, DiTullio GR, VanWoert M, Lizotte MP (1999) Phytoplankton community structure and the drawdown of nutrients and C02 in the Southern Ocean. Science 283 365-367... [Pg.95]

Azam F (1998) Microbial control of oceanic carbon flux the plot thickens. Science 280 694-696 Azam F, Long RA (2001) Oceanography - sea snow microcosms. Nature 414 495-498 Barlow RG (1982) Phytoplankton ecology in the Southern Benguela Current. 3. Dynamics of a bloom. J Exp Mar Biol Ecol 63 239-248... [Pg.114]

Abstract A two-dimensional microscale (5 cm resolution) sampler was used over the course of a phytoplankton spring bloom dominated by Phaeocystis globosa to investigate the structural properties of chlorophyll a and seawater excess viscosity distributions. The microscale distribution patterns of chlorophyll a and excess viscosity were never uniform nor random. Instead they exhibited different types and levels of aggregated spatial patterns that were related to the dynamics of the bloom. The chlorophyll a and seawater viscosity correlation... [Pg.173]


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