Skip to content

Research at St Andrews

Intra-annual variability in the density of Antarctic krill (Euphausia superba) at south Georgia, 2002-2005: Within-year variation provides a new framework for interpreting previous 'annual' estimates of krill density

Research output: Contribution to journalArticle

Author(s)

R. A. Saunders, A. S. Brierley, J. L. Watkins, K. Reid, E. J. Murphy, P. Enderlein, D. G. Bone

School/Research organisations

Abstract

Upward-looking acoustic Doppler current profilers (300 kHz) and echo sounders (125 kHz) were deployed on moorings on- and off-shelf to the northwest of South Georgia between 14 October 2002 and 29 December 2005 to measure density of Antarctic krill and environmental parameters continuously. A distinct seasonal pattern in krill density, recurring consistently over all three years, was detected. Krill densities in winter were predominantly low (mean = 18.7 g m(-2), SD = 24.3), but had risen substantially by summer in each year (mean = 89.5 g m(-2), SD = 64.2). A sinusoidal regression model (period = 52 weeks) with time as the independent variable explained 64% of the observed week-to-week variation. Estimates of krill density from moored instruments were not statistically different (P > 0.05) from estimates derived from standard ship-based krill surveys in adjacent time periods, suggesting that the point estimates from moored instruments were representative of krill density in a wider spatial context (ship surveys cover c. 100 x 100 km). Data from moored instruments were used to explore whether high-frequency temporal variation (i.e. within-year) could have led to the perceived between-year variation in krill density arising from previous summer surveys in the South Georgia western core box region between 1990 and 2005. Comparison of these 'snap-shot' ship survey estimates with the observed pattern of within-year variability showed that some of the apparent 'year-to-year' variation could simply be attributed to sampling on different dates of the year (e.g. November cf. February). However, there were some survey estimates that were significantly different (P < 0.01) from the regression-predicted within-year variation. Years that stand out for markedly low krill density (i.e. densities below the range expected due to intra-annual variation) were 1993/94, 1998/99 and 1999/2000. Moored instruments provide valuable data that could be important for ecosystem-based management at South Georgia because, for example, they will enable predator-prey functional responses to be explored there for the first time at appropriate temporal scales, and will enable hypotheses relating variation in krill abundance to physical oceanographic variability to be tested.

Close

Details

Original languageEnglish
Pages (from-to)27-41
Number of pages15
JournalCCAMLR Science
Volume14
Publication statusPublished - 2007

    Research areas

  • Antarctic krill, moorings, intra-annual variability, South Georgia, CCAMLR, DOPPLER CURRENT PROFILER, TARGET-STRENGTH, INTERANNUAL VARIABILITY, TEMPORAL VARIABILITY, CHANGING ENVIRONMENT, ACOUSTIC SURVEYS, FISH STOCKS, ABUNDANCE, SEA, ECOSYSTEM

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Mercury levels in Southern Ocean squid: variability over the last decade

    Seco, J., Xavier, J. C., Brierley, A. S., Bustamante, P., Coelho, J. P., Gregory, S., Fielding, S., Pardal, M. A., Pereira, B., Stowasser, G., Tarling, G. A. & Pereira, E., 10 Sep 2019, In : Chemosphere. 239, 124785.

    Research output: Contribution to journalArticle

  2. From siphonophores to deep scattering layers: uncertainty ranges for the estimation of global mesopelagic fish biomass

    Proud, R., Handegard, N. O., Kloser, R., Cox, M. & Brierley, A. S., May 2019, In : ICES Journal of Marine Science. 76, 3, p. 718-733

    Research output: Contribution to journalArticle

  3. Spatial variability in total and organic mercury levels in Antarctic krill Euphausia superba across the Scotia Sea

    Seco, J., Xavier, J. C., Coelho, J. P., Pereira, B., Tarling, G., Pardal, M. A., Bustamante, P., Stowasser, G., Brierley, A. S. & Pereira, M. E., Apr 2019, In : Environmental Pollution. 247, p. 332-339 8 p.

    Research output: Contribution to journalArticle

  4. Internal lee waves and baroclinic bores over a tropical seamount shark ‘hot-spot’

    Hosegood, P. J., Nimmo-Smith, W. A. M., Proud, R., Adams, K. & Brierley, A. S., Mar 2019, In : Progress in Oceanography. 172, p. 34-50 17 p.

    Research output: Contribution to journalArticle

Related by journal

  1. ESTIMATING STANDING STOCK OF KRILL USING MAXIMUM ENTROPY IMAGE RECONSTRUCTION RESPONSE

    Brierley, A. S., Heywood, B. G. & Gull, S. F., 2008, In : CCAMLR Science. 15, p. 195-198 4 p.

    Research output: Contribution to journalLetter

  2. Maximum entropy reconstructions of krill distribution and estimates of krill density from acoustic surveys at South Georgia, 1996-2000\

    Wafy, M. H., Brierley, A. S., Gull, S. F. & Watkins, J. L., 2003, In : CCAMLR Science. 10, p. 91-100 10 p.

    Research output: Contribution to journalArticle

  3. Significant intra-annual variability in krill distribution and abundance at South Georgia as revealed by multiple acoustic surveys during 2000/01

    Brierley, A. S., Goss, C., Grant, SA., Watkins, JL., Reid, K., Belchier, M., Everson, I., Jessop, MJ., Afanasyev, V. & Robst, J., 2002, In : CCAMLR Science. 9, p. 71-82 12 p.

    Research output: Contribution to journalArticle

ID: 628082

Top