Résultats de la recherche

1. Quantifying habitat use in satellite-tracked pelagic seabirds: application of kernel estimation to albatross locations

   . In contrast, kernel estimation reveals that the main foraging areas of these two sympatric ... Abstract:  We develop a new approach to quantifying habitat use within the foraging ranges of ... chick rearing period of the breeding cycle at South Georgia. At this time the activity range of these ... , the foraging areas cover c.81,500 and c.119,700 km2 respectively, with 42 % and 50 % of the range of ...

   Meeting Document : WG-FSA-99/19 : Auteur(s): A.G. Wood (United Kingdom), B. Naef-Daenzer (Switzerland), P.A. Prince and J.P. Croxall (United Kingdom)

2. Nine years of tag-recapture in CCAMLR Statistical Subarea 48.3 – Part I: General data characterisation and analysis

   Patagonian toothfish (Dissostichus eleginoides) in Subarea 48.3. It describes the tagging procedure, the ... information gained about biology, growth and movement of Patagonian toothfish, and explains the overlap of ... tagging length distributions with those of the landed catch and survey data. The characterisation of tag ... recapture data from Subarea 48.3 shows that the tagging programme is successful in providing substantial ...

   Meeting Document : WG-SAM-14/35 : Auteur(s): M. Soeffker, C. Darby and R.D. Scott (United Kingdom)

3. Descriptive analysis of haul data from FV Atlantic Navigator in Elephant Islands (48.1), South Georgia Islands (48.3) and South Orkney Islands (48.3) krill fishery (summer 2004 to early winter 2005)

   (early winter 2005) with a total of 251 days of effective fishing. Descriptive study of the fishery ... were analyzed to describe differentialy catch rates (catch per day and catch per minute) of the three ... different fishing zones studied. The total catch registered was 41837 tonnes: 50% of this capture was ... recorded under the CCAMLR Scheme of International Scientific Observation (SC-CAMLR, 1993). Author(s):  O ...

   Meeting Document : WG-EMM-05/12 : Auteur(s): O. Pin, H. Nión, E. Delfino and P. Meneses (Uruguay)

4. Seasonal variation in acoustic estimates of krill density at South Georgia during 2001/2002

   (middle), and one in May 2002 (late). The surveys were the second in a five-year series of observations ... South Georgia have revealed a similar pattern of change to that observed in 2000/2001 and highlight the ... around South Georgia in the 2001/2002 season: one in November 2001 (early); two during January 2002 ... designed to complement and extend an existing time series of summer surveys maintained by the British ...

   Meeting Document : WG-EMM-02/39 : Auteur(s): C. Goss, S.A. Grant, N. Cunningham, J.L. Watkins, P.N. Trathan, E. Murphy and K. Reid (United Kingdom)

5. Among-year variation in growth of Antarctic krill Euphausia superba based on length-frequency data

   Abstract:  Understanding the temporal variability in vital rates (e.g. growth and survivorship) of ... Southern Ocean over a span of 19 yr to document among-year variation in krill growth during the austral ... . The large amount of variation in growth unexplained by environmental  covariates  has  substantial ... (annual estimates for a 30 mm krill in the Elephant Island region ranged from 0.00 to0.17 mm d −1; mean ...

   Meeting Document : WG-EMM-13/P01 : Auteur(s): A.O. Shelton, D. Kinzey, C. Reiss, S. Munch, G. Watters and M. Mangel (USA)

6. Quantifying habitat use in satellite-tracked pelagic seabirds: application of kernel estimation to albatross locations

   Abstract:  We develop a new approach to quantifying habitat use within the foraging ranges of ... -rearing period of the breeding cycle at South Georgia. At this time the activity range of these two ... contrast, kernel estimation reveals that the main foraging areas of these two sympatric, congeneric species ... are very distinct. Based on location density categories accounting for 50% of locations, the foraging ...

   Meeting Document : WG-EMM-01/67 : Auteur(s): A.G. Wood (United Kingdom), B. Naef-Daenzer (Switzerland), P.A. Prince and J.P. Croxall (United Kingdom)

7. Assessment of Patagonian toothfish (Dissostichus eleginoides) in Subarea 48.4

   fits. Stock projections indicate that the stock was at 67% of B 0 in 2018/19 and that a yield of 27 ... tonnes in 2019/20 and 2020/21 is consistent with the application of the CCAMLR harvest control rule ... . eleginoides) in Subarea 48.4. The assessment data are updated with the observations for the 2017/18 season and ... the data weighting method revised to be consistent with those applied in other CCAMLR assessment model ...

   Meeting Document : WG-FSA-2019/29 : Auteur(s): T. Earl and E. MacLeod

8. Population assessment of Antarctic toothfish in Subarea 48.4 using tag-recapture method

   Abstract:  The stock of Antarctic toothfish in the CCAMLR subarea 48.4 was estimated using as the ... Petersen method as  640 tonnes. Application of the harvest rate used for D. eleginoides in Subarea 48.3 (γ ... = 0.038) gives yields of 24 t for the Antarctic toothfish in the region vs. previous estimation of 30 ... tonnes. Author(s):  V. Laptikhovsky (United Kingdom) Title:  Population assessment of Antarctic toothfish ...

   Meeting Document : WG-FSA-13/64 : Auteur(s): V. Laptikhovsky (United Kingdom)

9. Proportional recruitment indices of Antarctic krill from Japanese fisheries data in Subareas 48.1, 48.2 and 48.3 during 1980 through 1997

   the distribution of small krill by commercial fisheries. Inter-annual pattern of R1 and R2 in Subarea ... should be dealt very carefully. In Subarea 48.3, R1 values showed the evidence of recruitments in two ... year classes, which coincided with the year classes of strong proportional recruitments in Subarea 48.1 ... . However, the complexity of length composition in this Subarea was also pointed out. Author(s):  S ...

   Meeting Document : WG-EMM-98/33 : Auteur(s): S. Kawaguchi, T. Ichii and M. Naganobu (Japan)

10. Comparison of Champsocephalus gunnari catches in Subarea 48.3 from1994–97 and 2013 cruises

    Abstract:  The local densities of Champsocephalus gunnari   observed in the 2013 survey are ... in the early 1990’s was due to recruitment collapse, probably a consequence of overfishing. Author(s ... sampled was found. The comparison of the length distribution functions suggests that the stock depletion ... ):  E. Marschoff and P. Martínez (Argentina) Title:  Comparison of Champsocephalus gunnari catches in ...

    Meeting Document : WG-FSA-13/65 : Auteur(s): E. Marschoff and P. Martínez (Argentina)

Pages