CCAMLR

This paper includes information on the trend of the elephant seal population at Stranger Point (25 de Mayo-King george I.) between 1980-87(excluding 1981). A decline in the population was observed in 1980-82 and 1987. The female component was mainly affected in 1 980-82 (r=-0.568) while the male component was affected in 1987 (r=-0.463). A possible influence of El Niño Southern Oscillation (ENSO) events upon the numerical changes in the studied population is postulated.

Many data on the diets of important vertebrate predator species in Prydz Bay and around the sub-Antarctic Heard and Macquarie Islands have been collected during the last seven years. Published and unpublished results are collated and summarised, and several important points emerge.
In Prydz Bay, on which is centered the CCAMLR Ecosystem Monitoring Programme's priority study area, Euphausia superba forms a rather low proportion of the diet of most vertebrate predators. Euphausia crystallorophias and the fish Pleuragramma antarcticum are important in most diets, and many predators can switch between prey species. The use of these predators to monitor the state of prey populations is thus very limited, although continuing studies will be useful to assess the natural varibility of the system.
Around the sub-Antarctic islands, the four penguin species feed more heavily on fish, especially myctophids, than at other comparable localities.

At-sea metabolism (C02 production) and water turnover of six breeding Grey-headed Albatrosses Diomedea chrysostoma were measured, using the doubly labelled water method, at Bird Island, South Georgia. Mean food consumption (estimated from a water influx rate of 1.01 l d-1 and data on dietary composition) was 1200 g d-1 or 50.4 W. At-sea metabolism (derived from a rate of CO2 production of 3.98 l h-1) was 27.7 W, 2.5 times the estimated basal metabolic rate (BMR). On average the birds ingested nearly twice as much food energy as they expended to obtain it. The metabolic rate during flight (estimated from at-sea metabolism and activity budget data) was 36.3 W (range 34.7-39.0 W) or 3.2 (range 3.0-3.4) times the predicted BMR. This is the lowest cost of flight yet measured, but consistent with the highly developed adaptations for economic flight shown by albatrosses. These results are briefly compared with data for other polar vertebrates (penguins, fur seals) exploiting similar prey.

Encaged aggregations of swimming krill have been measured at 38 and 120 kHz. The results indicate that the target strength values are substantially lower than previously assumed.

The vertical trajectory of phytoplankton in the Antarctic ocean is modelled as a random walk with a diffusivity derived from a simple Ekman layer model and turbulence theory. The surface mixing layer is shallow, but diffusion is large enough to effect the vertical distribution of phytoplankton in the upper ocean.

Acoustic data obtained on the 4-5 January 1987 aboard the R/V Professor Siedlecki were used in three descriptors of krill spatial aggregation: power spectra for krill biomass fluctuations in space, semivariogram (spatial autocorrelation of krill biomass) and the frequency distribution of krill biomass estimate. The wavenumber spectrum resembles a white noise at scales of 2-20 km, although at scales smaller than 1 km the spectrum appears to lose its power significantly. The semivariance of biomass does not vary significantly over most distances between points except for the distances smaller than 1 km. The computed frequency distribution of krill biomass is bimodal and appears to be the mixture of two lognormal distributions. These two distributions may correspond to the between and within patch biomass. These results of data analysis suggest that krill patch size or rather a basic swarm size should be smaller that 200 m, finest resolution of our data analyzed, and the real spatial distribution of krill should be the manifestation of the balance between the dispersion of the basic swarm units and long-range density-dependent attraction of the units. Simple dynamical and kinematical models can interpret the observed result.