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1. r-cc-xvii.pdf

   ... H ~ ~ J I I O A ~ T ~ J I F ~ C O ~ ~ ~ Y I H ~ H H O ~ O KOPOJI~BCTB~. K o ~ m c c m c r , I I O Y T m J I a MI /ZHYTO~~ MOJIYaHI%[R I I a M R T b 17 application/pdf attached to:CCAMLR-XVII

   Meeting Report : CCAMLR-XVII

2. Список действующих мер по сохранению сезон 1998/99 r.

   . C 7 ~os6prr 1998 r. AO A o c T n x e m 0rpamme~mi ~a B ~ I J I O B HJIBT IIPIWIOB m 6 o m m BY~OB ...

   Document : Site Section: Publications

3. Preliminary analyses of data collected during experimental phases of the 1994/95 and 1995/96 Antarctic crab fishing seasons

   recaptured crabs moved at rates between 0.08 and 0.25 n. mi./day. Mark-recapture estimates of standing stock ...

   Meeting Document : WG-FSA-96/34 : Автор(ы): Watters, G.

4. Using production models to assess the stock of Paralomis spinosissima around South Georgia Island

   scales (about 4 mo. and 3600 n. mi.2). To extrapolate the estimated TAC to longer time periods ...

   Meeting Document : WG-FSA-93/23 : Автор(ы): George Watters (USA)

5. Assessing the power to detect systematic change in Adélie penguin foraging trip duration

   that mean foraging trip duration is constant for years i = 1,2,…,a prior to an impact (i.e. Mi = M0 ... that changed level thereafter (i.e. Mi = M0(1 + p) for i = a+1,a+2,…,a+b thereafter). This can be ... impact (i.e. Mi+1 = Mi + pMi, or 1 1i i M p M + = + , where Mi is the expected trip duration in ... years could be expressed as log(Mi+1) – log(Mi) or 1log i i M M +     . The require- ment ...

   Science Journal Paper : CCAMLR Science, Volume 13 (CCAMLR Science, Volume 13) : 201–215 : Автор(ы): Southwell, C., J. Clarke and L.M. Emmerson

6. Estimation of effective sample size for catch-at-age and catch-at-length data using simulated data from the Dirichlet-multinomial distribution

   given by ˆ ˆ ˆ/y y y y yn h m (8). Method 2 (MI) is that described in Appendix 2 of McAllister and ... quartile; PML – profile maximum likelihood; MI – McAllister and Ianelli (1997); Dunn – Dunn and Hanchet ...

   Science Journal Paper : CCAMLR Science, Volume 15 (CCAMLR Science, Volume 15) : 115–138 : Автор(ы): Candy, S.G

7. A simulation study of the method of deriving natural mortality rate using data for Champsocephalus gunnari in Subarea 48.3

   values of natural mortality Mi, i = 1,2, ..... j is assumed to be known. Then the algorithm for the ... value of natural mortality Mi is selected from the set of its possible values; (ii) a VP A is run ... ~), E~P)for pEP. (iv) the simulation is run for a number of values of natural mortality Mi, i = 1,2 ...

   Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/8 (Selected Scientific Papers, SC-CAMLR-SSP/8) : 69–83 : Автор(ы): Gasyukov, P.S. and R.S. Dorovskikh

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

   (au début de la saison), fi n décembre 2000/début janvier 2001 (mi-saison) et en mars 2001 (vers la ... transects à l’intérieur d’une case, au nord-ouest de la Géorgie du Sud. La campagne de mi-saison ... campagne de mi-saison était moins importante dans la case ouest que dans la case est (80,4 g m-2 ... mi-saison ne révélait aucune différence importante dans la densité moyenne du krill dérivée ...

   Science Journal Paper : CCAMLR Science, Volume 9 (CCAMLR Science, Volume 9) : 71–82 : Автор(ы): Brierley, A.S., C. Goss, S.A. Grant, J.L. Watkins, K. Reid, M. Belchier, I. Everson, M.J. Jessop, V. Afanasyev and J. Robst

9. Potential interactions between wandering albatrosses and longline fisheries for Patagonian toothfish at South Georgia

   periode de couvaison des jeunes, cependant, a savoir de mars 2 mi-mai, les oiseaux adultes des deux sexes ... la palangre de D. eleginoides de maniere a eviter toute p@che entre fin fevrier et mi-mai ...

   Science Journal Paper : CCAMLR Science, Volume 3 (CCAMLR Science, Volume 3) : 101–110 : Автор(ы): Croxall, J.P. and P.A. Prince

10. Estimating optimal observer coverage in the Antarctic krill fishery

    units (vessels) Mi: number of secondary units (hauls for vessel i) n: number of primary units that are ... sampled mi: number of secondary units that are sampled 2 U: sample variance between vessels σ2: sample ... a given ves- sel (mi). Since σ2 includes intra-vessel variation from both between hauls and between ...

    Science Journal Paper : CCAMLR Science, Volume 17 (CCAMLR Science, Volume 17) : 139–154 : Автор(ы): Agnew, D.J., P. Grove, T. Peatman, R. Burn and C.T.T. Edwards

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