Features of spatial and temporally distribution patterns of krill flux in the Scotia Sea: some comments on the development of a krill fishery management in Area 48.
Abstract: The spatial variability of krill flux in the Scotia Sea calculated by using the ... distribution of krill density, water flow intensity (m 3 /s) and krill biomass (g/m3) transported by water flow ... to the Scotia Sea, were a subject of study. It is clearly illustrated that the geostrophic krill ... flux in the Scotia Sea requires both favorable dynamic conditions and availability of krill transported ...
Meeting Document : WG-EMM-18/21 : Автор(ы): S. Kasatkina, V. Shnar and A. Malyshko
Preliminary modelling of potential climate-change impacts on krill and a krill-dependent predator in CCAMLR Subareas 48.1 to 48.3
affect krill resources and the marine ecosystem in Antarctic waters is critical. Previous research has ... demonstrated possible climate change impacts on krill habitat and growth. In this preliminary study, we ... assessed the potential consequences of these impacts for both the krill stock and its dependent predators ... using a peer-reviewed krill-predator-fishery ecosystem dynamics model. Initial results demonstrate the ...
Meeting Document : WG-EMM-16/53 : Автор(ы): E.S. Klein, S.L. Hill, G.M. Watters and J.T. Hinke
Distribution patterns and biomasses of Antarctic krill (Euphausia superba) and ice krill (E. crystallorophias) with note on distribution of Antarctic minke whales (Balaenoptera bonaerensis) in the Ross Sea in 2005
Abstract: Distribution patterns and biomasses of Antarctic and ice krill in the Ross Sea in ... austral summer in 2005 were studied using a multi-disciplinary survey data set combining cetacean, krill ... obtained from samples of RMT hauls and stomach contents of Antarctic minke whales. Ice krill was ... distributed on the continental shelf region (shallower than 1000m water depth). In contrast, Antarctic krill ...
Meeting Document : WG-EMM-08/35 : Автор(ы): H. Murase, H. Yasuma, R. Matsukura, Y. Takao, K. Taki, T. Hayashi, T. Yabuki, T. Tamura, K. Konishi, K. Matsuoka, K. Miyashita, S. Nishiwaki and M. Naganobu (Japan)
Do krill fisheries compete with macaroni penguins? Spatial overlap in prey consumption and krill catches during winter
, the macaroni penguin, and the krill fishery by examining the spatial overlap in prey consumption and ... and the krill fishery can occur. We tracked adult macaroni penguins from a colony in South Georgia ... krill consumed which could be compared directly with the spatial distribution of the tonnes of krill ... krill during the winter which is similar to the 98,431 tonnes caught by fisheries over the same period ...
Meeting Document : WG-EMM-14/02 : Автор(ы): N. Ratcliffe, S.L. Hill, I.J. Staniland, R. Brown, S. Adlard, C. Horswill and P.N. Trathan (United Kingdom)
ANALYSIS OF VARIABILITY OF KRILL SIZE AND FISH BY-CATCH IN JAPANESE KRILL FISHERY BASED ON SCIENTIFIC OBSERVER DATA
Abstract: To investigate spatio-temporal variability of krill body length and number of bycatch ... fish, observer data sets on Japanese krill fishery from 1995 to 2008 were analyzed by using a ... dynamics from observation error caused by the fishery activity and individual observation. In both krill ... variability of krill population structure and a difficulty in predicting krill population dynamics. Variances ...
Meeting Document : WG-EMM-11/39 : Автор(ы): T. Okuda and M. Kiyota (Japan)
KRILL CATCHES INDICATE THE IMPACT OF THE EL-NIŇO – SOUTHERN OSCILLATION RELATED PROCESSES ON THE DISTRIBUTION OF KRILL BIOMASS BETWEEN SUBAREAS OF THE ATLANTIC SECTOR OF ANTARCTIC
different climate oceanographic regimes and its influence on krill biomass into the discussion of krill ... fishery management issues. Krill catch data in Subareas 48.1, 48.2 and 48.3 are compared to the AMLR ... Programme findings as described by Loeb et al. (2009). It is shown that krill fisheries statistics may be ... inter-annual variation of krill biomass distribution between the major statistical subareas. The ...
Meeting Document : WG-EMM-09/47 : Автор(ы): V. Spiridonov (Russia)
MaxEnt reconstructions of krill distribution and estimates of krill density from acoustic surveys at South Georgia 1996–2000
Abstract: We present Maximum Entropy (MaxEnt) reconstructions of krill distribution and estimates ... of mean krill density within two survey boxes of dimensions 80 km x 100 km to the north east and ... gathered in the boxes in austral summers 1996 – 2000. Krill densities had previously been determined at ... 1600 krill density estimates per box. The MaxEnt technique uses a Bayesian approach to infer the most ...
Meeting Document : WG-EMM-02/36 : Автор(ы): M.H. Wafy, A.S. Brierley, S.F. Gull and J.L. Watkins (United Kingdom)
Abstract: The relationship between krill abundance and predator performance is fundamental to an ... ecosystem based approach to resource management. We propose a method using krill sampled from the diet of ... predators to provide a length-frequency distribution of krill at times when it is possible to run automated ... operations. This will allow a robust estimate of krill abundance to be estimated from acoustic data. Changes ...
Meeting Document : WG-EMM-00/42 : Автор(ы): K. Reid and A.S. Brierley (United Kingdom)
The krill distribution in waters around the South Shetland Islands: Preliminary results from an acoustic survey conducted by a Chinese krill fishing vessel in December 2013
data for the estimation of krill stock and its management. In December 2013, a trial acoustic survey ... was conducted by the Chinese krill fishing vessel ‘FURONGHAI' in waters around the South Shetland ... Islands. Krill was found in most part of the survey area. The mean Sv of krill swarm tend to be higher in ... strait. The majority of the krill swarms were found in the upper 100 m with a thickness less than 30 m ...
Meeting Document : WG-EMM-14/47 : Автор(ы): X. Wang, X. Zhao, G. Qi, T. Zuo, J. Zhu, J. Zhang and X. Li (People’s Republic of China)
Analysis of variability of krill size and fish by-catch in Japanese krill fishery based on scientific observer data
Antarctic krill commercial fishing vessels, we estimated the relationship between statistical precision and ... sample size by using variance component analysis. Observer datasets on Japanese krill fishery from 1995 ... biological process error in the population dynamics from fishery process as observation error. In both krill ... -temporal variability in size structure of krill population, which is presumably derived from large ...
Meeting Document : WG-EMM-12/68 : Автор(ы): T. Okuda and M. Kiyota (Japan)