OLR (1984) 31 (12) E. Biological Oceanography 885

A highly heterogeneous vertical and horizontal diffusion regime results, which in turn causes the distribution of nutrients, DOM, POM, and turbidity to vary in time and space. Resulting patterns of primary productivity are described and related to the above factors. Ist. di Biol. del Mare, CNR, Venezia, Italy. (mjj)

84:6190 Goes, J.I. and V.P. Devassy, 1983. Phytoplankton

organisms collected during the First Indian Antarctic Expedition. In: Scientific Report of First Indian Expedition to Antarctica. Technical Publication No. 1; Department of Ocean De- velopment, New Delhi, India; pp. 198-201.

Diatoms comprised 27 of the 28 species of phyto- plankton collected and were distinctly the abundant forms near the ice edge. Dinoflagellates and silico- flagellates were poorly represented. Away from the ice edge coccolithophores appeared in large num- bers, but were too small and ill-defined for species identification. Natl. Inst. of Oceanogr., Dona Paula, Goa-403 004, India.

84:6191 Goswami, S.C., 1983. Zooplankton of the Antarctic

waters. In: Scientific Report of First Indian Expedition to Antarctica. Technical Publication No. 1; Department of Ocean Development, New Delhi, India; pp. 202-212.

Zooplankton biomass values ranged 14-624 mL/1000 m 3. High stock values (ave. 284 mL/1000 m 3) were recorded in the Antarctic Convergence where radiolarians and euphausiids were dominant. Copepoda, Amphipoda and Chaetognatha were the major constituents in the Polar Divergence and Subtropical Convergence. Temperature variations (-0.33 to 16.66°C) were important influences on species geographical distribution. Species diversity values were low and showed an inverse relationship with biomass. No appreciable nocturnal abundance of biomass and zooplankton species was observed. Natl. Inst. of Oceanogr., Dona Paula, Goa 403 004, India.

84:6192 Holligan, P.M., P.J. leB. Williams, D. Purdie and

R.P. Harris, 1984. Photosynthesis, respiration and nitrogen supply of plankton populations in stratified, frontal and tidally mixed shelf waters. Mar. Ecol.-Prog. Ser., 17(2):201-213.

Particulate ~4C fixation appeared to underestimate gross photosynthesis. Estimates of net photosyn- thetic rates are compared with observed microhet- erotroph and calculated mesozooplankton respira-

tion rates. In each of the 3 systems microhetero- trophs were the major energy consumers. In surface stratified waters, turnover of plankton carbon was rapid and, under certain conditions, the phy, to- plankton may obtain >50% of their nitrogen requirement from ammonium excretion by zoo- plankton. Development of dinoflagellate blooms in the frontal region could be explained in terms of high rates of nitrate assimilation at the base of the thermocline, upward movement of the cells and low grazing mortality. Mar. Biol. Assoc. of the UK, Citadel Hill, Plymouth PLI 2PB, UK.

84:6193 Huang, Che-Chung, 1983. Zooplankton communities

in the upwelHng water off the southeastern coast of Talwan. Acta oceanogr, taiwan., 14:136-145.

From August 1982 to June 1983, water temperature decreased gradually from offshore to nearshore stations. Zooplankton biomass and abundance ranged 23.3-34.8 gm wet weight per 1000 m a and 14.0-59.4 x 104 individuals per 1000 m a. Both values were higher than those in the neighboring waters. Apparently positive correlations between copepods, chaetognaths, tunicates, and fish eggs and the total zooplankton were found. Inst. of Oceanogr., Natl. Taiwan Univ., Taipei, Taiwan.

84:6194 Jorgensen, S.E. et al., 1984. Modelling primary

production. Special issue. Ecol. Model., 23(1/2): 1-184; l0 papers.

The first four papers examine different submodels of primary production in aquatic systems. Several versions of the photosynthesis-light model are examined in the first 2 papers, including application of the 'extended Kalman filter to estimate 02 concentration' and a case study. The third paper presents 'a numerical method for simulating plank- ton transport'; the fourth paper shows the occur- rence of 'relaxation oscillations...in a slow-fast phytoplankton growth model.' (mjj)

84:6195 Kempf, J., L. Duckstein and J. Casti, 1984. Relax-

ation oscillations and other non-Michaelian behavior in a slow-fast phytoplankton growth model. Ecol. Model., 23(1/2):6%90.

A physiological model of nutrient uptake, based on an enzyme mechanism for membrane transport, is combined with a phytoplankton biomass growth equation based on internal nutrient limitation. The equations thus obtained can model phytoplankton growth with a considerably richer dynamics than the Michaelis-Menten-Monod or Droop models. The