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Fishery Report: Champsocephalus gunnari Heard Island (Division 58.5.2)
/02 3 150 0 80 0 50 1 50 0 50 2002/03 21 150 0 80 0 465 20 120 5 50 2003/04 6 150 0 80 1 360 3 120 1 ... and areas ......................................................................... 2 3 ... . Parameter estimation ................................................................... 3 3.1 ... Estimation methods ................................................................ 3 Standing stock ...
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Analysis and modelling of the Soviet Southern Ocean krill fleet, II: Estimating the number of concentrations and analytical justification for search data
. Additional annotations in logbooks are needed. Table 6 contains results of Steps 2 and 3 for the estimated ... . These are concentrations 3, 6 and 4, 7 for the data collected by the RV Professor Derugin ... ) (n m) (kg) (hrs) (hrs) 1 48.5 1 6 17 500 60.2 133.8 291 2 0.5 1 6 000 4 112 1 500 3 10.5 6 21 000 ... 65.6 1 530 3 1 6 6 28 000 78 18.7 359 4 83.5 44 118 200 134.5 41.6 879 5 39 1 7 43 700 48.2 2.58 907 ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/6 (Selected Scientific Papers, SC-CAMLR-SSP/6) : 283–322 : Автор(ы): Mangel, M.
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Fishery Report: Champsocephalus gunnari Heard Island (Division 58.5.2)
season. 3. Parameter estimation 3.1 Estimation methods Standing stock 6. The results of a ... 80 0 465 20 120 5 50 2003/04 6 150 0 80 1 360 3 120 1 50 2004/05 34 150 0 80 0 360 5 120 3 50 2005 ... ......................................................................... 3 3. Parameter estimation ................................................................... 3 ... 3.1 Estimation methods ................................................................ 3 ...
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Fishery Report: Champsocephalus gunnari South Georgia (Subarea 48.3)
/092009/102010/11 ANI 48.3 3 Trawl surveys 6. In January/February 2011, the UK undertook a ... –300 3. NW 50–200 4. NW 200–350 5. NE 50–200 6. NE 200–300 7. SW 50–200 8. SW 200–300 9. SE ... 50–200 10. SE 200–300 2 553 1 438 3 371 2 059 2 766 3 576 4 276 6 637 6 617 3 828 ... parameters which were used throughout the 2011 assessment. ANI 48.3 6 Table 3: Life history ...
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Length-based assessments revisited – why stock status and fishing mortality of long-lived species such as toothfish cannot be inferred from length-frequency data alone
to 20 age classes. The proportional values were calculated as per equations (3) to (6). results ... indicators can be esti- mated as: max mat L mat l L P P=å (3) 1.1 0.9 opt opt L opt l L P P= å ... P P P= + + (6) across a range of different stock productivity and selectivity patterns. The three ... toothfish population dynamics Scenario 1 (Base case) 2 3 4 5 Von Bertalanffy growth parameters ...
Science Journal Paper : CCAMLR Science, Volume 18 (CCAMLR Science, Volume 18) : 57–73 : Автор(ы): Ziegler, P.E., D.C. Welsford and A.J. Constable
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The Kerguelen database
.8....-~ 1-- .3..:1....- ~ s.a2...- _2 __ ""-- 11L- 106 ~lL-0 _0 __ _ 11..L .l.O..6..- .li2 ... ..- ~_O_-~_O_- 2.lL ~~J..3..2..6...._0 __ 12- ~_O_-~_o_- ~ _0 __ 2E- _0 __ _ 0 __ 1ill..- _0 ___ 0 ... £L.. . _1 ___ 1 ___ + ___ 1 __ R- + 0 ° 0 -------- 338 6 67B 140 3 -------- 225 66 352 -rr 2 ... 0 __
3 _0 ___ 0 __ 0 ___ 0 __ ----16---- ----6 ... Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/3 (Selected Scientific Papers, SC-CAMLR-SSP/3) : 23-54 : Автор(ы): Duhamel, G.
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The sensitivity of multiple output statistics to input parameters in a krill–predator–fishery ecosystem dynamics model
0 5 6 2 0 0 –0.1 –0.01 0 7 4 0 7 10 8 6 2 6 6 1 –0.01 –0.001 5 7 5 0 6 2 11 7 3 1 8 7 –0.001 0 17 ... and 3 matrices). In the 15 SSMU–four predator configuration developed by Watters et al. (2013), it ... Productivity (II.3(a) prevention of decrease in the size of any harvested population to levels below those ... abundance at beginning of fishing period. Krill Whole model Health (II.3(b) maintenance of the ...
Science Journal Paper : CCAMLR Science, Volume 20 (CCAMLR Science, Volume 20) : 97–118 : Автор(ы): Hill, S.L. and J. Matthews
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Analysis of trends in Japanese krill fishery CPUE data, and its possible use as a krill abundance index
ad S SM U s. -6 7 -6 6 -6 5 -6 4 -6 3 -6 2 -6 1 -6 0 -5 9 -5 8 -5 7 -5 6 -5 5 -5 4 ... -5 3 -5 2 -5 1 -5 0 -6 8 -6 6 -6 4 -6 2 -6 0 -5 8 -5 6 -5 4 -5 2 -5 0 -4 8 -4 6 -4 4 ... -4 2 -4 0 -3 8 -3 6 -3 4 -3 2 -3 0 U S -A M LR a co us tic tr an se ct U K s ur ve ... and TSDT for the whole of Area 48 across years. 0 1 2 3 4 5 6 7 8 9 10 19 80 /8 1 19 81 ...
Science Journal Paper : CCAMLR Science, Volume 12 (CCAMLR Science, Volume 12) : 1–28 : Автор(ы): Kawaguchi, S., S. Candy, S. Nicol, K. Taki and M. Naganobu
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Fishery Report: Exploratory fishery for Dissostichus spp. (TOT) in Division 58.4.3a
) Reported catch (tonnes) Limit Reported D. eleginoides D. mawsoni Total 2004 6 0 250 0 0 0 - 0 2005 3 ... and all fish caught by a vessel (Annex 41-01/C, footnote 3). TOT 58.4.3a 6 legal and ... and areas ......................................................................... 3 3. Parameter ... estimation ................................................................... 3 3.1 Observations ...
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Fishery Report: Dissostichus eleginoides Kerguelen Islands (Division 58.5.1)
730 1 237 5 967 1999/00 3 046 3 093 6 139 2 600 8 739 2000/01 2 593 2 153 4 747 4 550 9 297 2001/02 ... 3 976 178 4 154 6 300 10 454 2002/03 5 291 0 5 291 5 518 10 809 2003/04 5 171 0 5 171 536 5 707 ... ......................................................................... 3 3. Parameter estimations .................................................................. 4 ... ........................................................................ 6 4.1 Research requirements............................................................. 6 5 ...
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