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  1. WG-FSA-00

    vulnerable to fisheries interactions J. Molloy (New Zealand) WG-FSA-00/11 Documentation for the CCAMLR survey ... , 9 October 2000 to Thursday, 19 October 2000 Submissions Due:  Monday, 25 September 2000 Meeting documents ... of identification keys for by-catch fish species Secretariat WG-FSA-00/16 Restoration of retrospective data ... and G. Pilling (United Kingdom) WG-FSA-00/24 Crab by-catch in the experimental toothfish pot fishery around South ...

    Meeting

  2. Atlas of coastal sea ice in eastern Antarctica

    Abstract:  The attached document provides information on an atlas of sea ice produced ... contains the introduction and information on data collection, data processing and interpretation ... will be available to Members on request to the Data Centre, Australian Antarctic Division (http://its-db.aad.gov.au ... The attached document provides information on an atlas of sea ice produced ...

    Meeting Document : WG-EMM-02/54 : Author(s): K. Michael, K. Hill, K. Kerry and H. Brolsma (Australia)

  3. Estimation of the biomass of krill in Prydz Bay during January/February 1991, February/March 1992 and January/ February 1993 using echo integration

    Abstract:  Hydroacoustic surveys of the abundance of krill (Euphausia superba) in the Prydz Bay ... . The surveys indicated some association of krill with the shelf break in the western part of the survey area ... of relatively high krill abundance. The mean surface density estimates of krill in 1991, 1992 and 1993 were 16.6 ... estimated for January 1985 from the SIBEX-II data. The Australian SIBEX-II estimate falls in the middle ...

    Meeting Document : WG-Krill-94/21 : Author(s): T. Pauly and I. Higginbottom (Australia)

  4. CHARACTERISING KRILL FISHERY DYNAMICS USING A RANDOM WALK MODEL

    Abstract:  Krill fishery dynamics was analysed by using Fine-scale haul-by-haul data. Between-haul ... Krill fishery dynamics was analysed by using Fine-scale haul-by-haul data. Between-haul-distances ... CHARACTERISING KRILL FISHERY DYNAMICS USING A RANDOM WALK MODEL ... grounds. Author(s):  S. Kawaguchi, S. Candy and A. Constable (Australia) Title:  CHARACTERISING KRILL ...

    Meeting Document : WG-EMM-09/18 : Author(s): S. Kawaguchi, S. Candy and A. Constable (Australia)

  5. Methodical aspects of a large-scale international krill survey in 2019: comments and proposals

    . Author(s):  S. Kasatkina Title:  Methodical aspects of a large-scale international krill survey in 2019 ... Status:  Content Approved Document Release Consent:  No Delegation responsibility for releasing documents ... Methodical aspects of a large-scale international krill survey in 2019: comments and proposals ...

    Meeting Document : WG-EMM-2019/55 : Author(s): S. Kasatkina

  6. A sensitivity analysis of a simple krill individual-based model designed to investigate length-based recruitment indices

    commercial catches. These extremely valuable data may be used to monitor the state of harvested Krill ... . These extremely valuable data may be used to monitor the state of harvested Krill populations. For instance ... on-board Krill (Euphausia superba) fishing vessels measure the length of individual Krill sampled from ... model of krill population dynamics was subjected to a sensitivity analysis. Starting from a base ...

    Meeting Document : WG-EMM-13/23 : Author(s): S. Thanassekos and K. Reid (Secretariat)

  7. Mitigating killer whale depredation on demersal longline fisheries by changing fishing practices

    with significant losses for fisheries and potential impacts on wild populations of depredating species ... ) interacting with Patagonian toothfish (Dissostichus eleginoides) longliners off the Crozet islands. Data ... collected by fishery observers from 6,013 longline sets between 2003-2013, paired with extensive monitoring ... fishery framework, paired with extensive knowledge on wild populations, may lead to the definition of cost ...

    Meeting Document : WG-FSA-14/P03 : Author(s): P. Tixier, J. Vacquie Garcia, N. Gasco, G. Duhamel and C. Guinet

  8. Conservation Measure Conservation Measure 51-06 (2016)

    General measure for scientific observation in fisheries for Euphausia superba Species:  Euphausia ... General measure for scientific observation in fisheries for Euphausia superba ... deployment scheme, which will deliver adequate data for its assessments of the impact of the krill fishery ... ) General measure for scientific observation in fisheries for Euphausia superba Species krill Area all ... ecosystem, Noting the increased demand for krill products and the expansion in krill fisheries, Mindful ... of major data gaps in biological data reporting in most areas of this fishery, Reaffirming the need ...

    Conservation Measure : 51-06 (2016)

  9. Interannual variability in Antarctic krill (Euphausia superba) density at South Georgia, Southern Ocean: 1997 – 2013

    Abstract:  This paper, now in press in ICES Journal of Marine Science, presents krill density ... estimates for a 17 year time series of acoustic surveys of the Western Core Box at South Georgia.  Krill ... targets were identified in acoustic data using the approved CCAMLR protocol, that is using a multi ... -frequency identification window and converted to krill density using the Stochastic Distorted-Wave Born ...

    Meeting Document : WG-EMM-14/P04 : Author(s): S. Fielding, J. Watkins, P. Trathan et al.

  10. Conservation Measure Conservation Measure 51-06 (2012)

    General measure for scientific observation in fisheries for Euphausia superba Species:  Euphausia ... General measure for scientific observation in fisheries for Euphausia superba ... in krill fisheries, Mindful of major data gaps in biological data reporting in most areas of this fishery ... ) General measure for scientific observation in fisheries for Euphausia superba Species krill Area ... , Reaffirming the need for adequate monitoring and management of the krill fishery to ensure that it remains ... Committee that scientific observer coverage is required in the krill fishery, and that in order ...

    Conservation Measure : 51-06 (2012)

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