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  1. Assessment models for Antarctic toothfish (Dissostichus mawsoni) in the Ross Sea region for the years 1997–98 to 2014–15

    between the shelf, slope, and north areas of the Ross Sea region, was either 2855 t or 2870 t from the two ...

    Meeting Document : WG-FSA-15/38 : Author(s): S. Mormede, A. Dunn and S.M. Hanchet (New Zealand)

  2. Linking acoustic scattering coefficient to krill fishery data: feasibility of estimating krill abundance using fishing survey

    -sample t-test analysis shows that a significant correlation existed between NASC and CPUA, the equation ... using acoustic and fishery data. Author(s):  T. Wang, G.P. Zhu, J.F. Tong and L.X. Xu Title:  Linking ...

    Meeting Document : WG-EMM-17/44 : Author(s): T. Wang, G.P. Zhu, J.F. Tong and L.X. Xu

  3. e-sc-40-a5.pdf

    ... and noted that time series of US AMLR krill survey data show that estimated recruitment is highly variable ... . The Working Group highlighted the importance of consistent time series of survey information in order ... be forwarded to the e-group by 30 July 2021. The e-group should undertake the work of developing and running ... but are not included in the projection phase because it is not known if these catches will continue. 3.30 ... , Dr C. Péron (France) and Dr T. Okuda (Japan), welcomed the participants (Appendix A). Adoption of ... . 124 3.3 The Working Group welcomed this improvement to the Grym and noted that time series of US ... time series of survey information in order to determine changes in population dynamics. 3.18 WG-SAM ... values, and suggestions for sensibility tests, should be forwarded to the e-group by 30 July 2021. The edownload attachment application/pdf attached to:WG-SAM-2021

    Meeting Report : WG-SAM-2021

  4. Using ecosystem monitoring data to detect impacts

    error analytically where possible and through simulation using time series based on Antarctic fur seal ... pup production data from Bird Island. This data series includes a known non- fisheries impact ... of the approaches described below was applied to the pup production time series, with critical probabilities ... period can be thought of as a series of Bernoulli trials in which the outcome can be either α1 ...

    Science Journal Paper : CCAMLR Science, Volume 17 (CCAMLR Science, Volume 17) : 197–212 : Author(s): Hill, S.L., J. Forcada, P.N. Trathan and C.M. Waluda

  5. Guide to Otoliths

    Author(s):  T. Hecht (South Africa) Title:  Guide to Otoliths Approval:  Approved ...

    Meeting Document : CCAMLR/86/FA/02 : Author(s): T. Hecht (South Africa)

  6. Revised reports on abundance and biological information of toothfish in Division 58.4.4 a & b by Shinsei maru No. 3 in 2012/13 season

    /12 season. The possible maximum tagging rate was calculated to be 30.1 fish per tonnes and 23.5 fish ... /12 season. The possible maximum tagging rate was calculated to be 30.1 fish per tonnes and 23.5 fish ...

    Meeting Document : WG-FSA-13/34 : Author(s): K. Taki, T. Ichii, T. Iwami and M. Kiyota (Japan)

  7. Integrating CPUE with the GY model: examination of the effects of shortening the CPUE series and incorporating elements of uncertainty into the D. eleginoides assessment of Subarea 48.3

    whether a shorter CPUE time-series would be preferable for use in its annual assessments. (WG-FSA-03/40 ... in the standardised CPUE series into the method of Kirkwood and Constable (2000) via Monte Carlo simulations ... of the CPUE series. Truncation of the standardised series from WG-FSA 2002 results in only slight modification ... towards the more recent years. The use of the standardised series from the GLMM of Candy (2003) shows ...

    Meeting Document : WG-FSA-03/96 : Author(s): I.R. Ball, S. Candy and A.J. Constable (Australia)

  8. Analysis of trends in Japanese krill fishery CPUE data, and its possible use as a krill abundance index

    in order to obtain time series of predicted intra- and interannual trends of standardised fishery indices ... with previously published interannual series of acoustic density estimates from scientific surveys. To refine ... (CPUE), variables were modelled using linear mixed models in order to obtain time series of predicted ... with previously published interannual series of acoustic density estimates from scientific surveys. To refine ... series of predicted intra- and interannual trends of standardised fi shery indices. The results strongly ... published interannual series of acoustic density estimates from scientifi c surveys. To refi ne these CPUE ... lineales mixtos para obtener una serie cronológica de predicciones de las tendencias intra e interanuales ... cativas del CPUE normalizado de las áreas pelágicas con las series interanuales de estimaciones acústicas ...

    Science Journal Paper : CCAMLR Science, Volume 12 (CCAMLR Science, Volume 12) : 1–28 : Author(s): Kawaguchi, S., S. Candy, S. Nicol, K. Taki and M. Naganobu

  9. Short note: time series of Drake Passage Oscillation Index (DPOI) from 1952 to 1988

    series of DPOI using historical data. We searched the historical data and found the time series since ... and since the 1940s until 1998 at British Antarctic Survey for Esperanza. Here we calculated a time series ... of DPOI from 1952 to 1988 at this stage. Time series since 1988 will be soon calculated after obtaining ... to 1988. A time series of 3-month running mean suggested considerable seasonal variability of climate ...

    Meeting Document : WG-EMM-02/44 : Author(s): M. Naganobu and K. Kutsuwada (Japan)

  10. Tests for anomalous years in the CCAMLR index series (draft)

    Abstract:  The properties of a method for detecting anomalous years in CCAMLR index series ... obtained on the assumption that the series being considered consists of random values from a constant ... normal distribution. This idea is extended to situations (a) where the series values are still normally ... distributed, but contain a linear trend and autocorrelation, and (b) where the series values are from some ...

    Meeting Document : WG-EMM-Stats-97/06 : Author(s): MacKenzie, D., Manly, B.F.

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Address: 181 Macquarie Street, Hobart, 7000, Tasmania, Australia

 

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