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1. On the power to detect changes using the standard methods for monitoring parameters of predatory species

   %) 698 564 422 264 1.16 (20%) 176 142 107 67 1.74 (30%) 79 64 48 31 For ex = 0.10: 0.58 (10%) 581 ... : Statistical Power (1-P) 0 0.95 0.90 0.80 0.60 For ex = 0.05: 0.39 (10%) 953 771 576 360 0.78 (20%) 239 ... 5.07 (30%) 44 36 27 1 8 For Cl = 0.10: 1.67 (10%) 318 252 182 107 3.34 (20%) 81 64 47 28 5.07 (30 ... 142 83 0.387 (30%) 111 88 64 38 Table 5: Estimates of the minimum sample sizes (number of pairs ...

   Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/6 (Selected Scientific Papers, SC-CAMLR-SSP/6) : 377–397 : Автор(ы): Boveng, P. and J.L. Bengtson

2. An assessment of toothfish in Subarea 48.3 using CASAL

   49,943 t, and the spawning stock biomass was estimated to be 100657 t, some 64% of its unexploited level ...

   Meeting Document : WG-FSA-05/16 : Автор(ы): R.M. Hillary, G.P. Kirkwood and D.J. Agnew (United Kingdom)

3. Characteristics of krill aggregations in 48.4 subdivision during January–February 2000

   . Major krill biomass (of about 64%) was concentrated in krill swarms within the meander and eddies zones ...

   Meeting Document : WG-EMM-01/42 : Автор(ы): S.M. Kasatkina, A.P. Malyshko, V.N.Shnar and O.A. Berezhinskiy (Russia)

4. Fish and squid in the diet of king penguin chicks, Aptenodytes patagonicus, during winter at sub-Antarctic Crozet Islands

   and 36%, respectively) and squid (34 and 64%) are important components of the winter diet. Juveniles ...

   Meeting Document : WG-EMM-97/09 : Автор(ы): Cherel, Y., Ridoux, V., Rodhouse, P.G.

5. e-sc-xxi-a4-appD.pdf

   application/pdf attached to:WSSMUPU-02

   Meeting Report : WSSMUPU-02

6. 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

   explained 64% of the observed week-to-week variation. Estimates of krill density from moored instruments ... sinusoidal regression model (period = 52 weeks) with time as the independent variable explained 64% of the ... ) dont la variable indépendante est le temps explique 64% de la variation observée d’une semaine à ... переменной, объясняла 64% наблюдавшихся понедельных изменений. Оценки плотности криля с помощью ... independiente dio cuenta del 64% de la variación observada de una semana a otra. Asimismo, se encontró que la ...

   Science Journal Paper : CCAMLR Science, Volume 14 (CCAMLR Science, Volume 14) : 27–41 : Автор(ы): Saunders, R.A., A.S. Brierley, J.L. Watkins, K. Reid, E.J. Murphy, P. Enderlein and D.G. Bone

7. CCAMLR Statistical Bulletin, Vol. 29 selected tables

   32 51 29 39 23 32 62APR 1449 75 58 42 58 64 64 126 62MAY 7937 48 44 28 58 72 69 98 84JUN 3144 ...

   Document : Site Section: Data

8. Volume 19: CCAMLR. 2007. Statistical Bulletin, Vol. 19 (1997–2006). CCAMLR, Hobart, Australia.

   Document : Site Section: Publications

9. INTERACTIONS OF PATAGONIAN TOOTHFISH FISHERIES WITH KILLER AND SPERM WHALES IN CROZET EXCLUSIVE ECONOMIC ZONE: AN ASSESSMENT OF DEPREDATION LEVELS AND INSIGHTS ON POSSIBLE MITIGATION SOLUTIONS

   total of 64 sperm whales interacted with the fishery on the Crozet EEZ in 2008. Significant variations ...

   Meeting Document : WG-IMAF-09/12 : Автор(ы): P. Tixier, N. Gasco, G. Duhamel and C. Guinet (France)

10. The distribution of spatial management and Antarctic krill catch across pelagic bioregions in the Southern Ocean

    Statistical Bulletin, 2012). 64% of the area managed by the Commission for the Conservation of Antarctic ...

    Meeting Document : WG-EMM-12/15 : Автор(ы): S.M Grant, S.L. Hill and P. Fretwell (United Kingdom)

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