SG-ASAM-2019/05 Mostrar menos información |
Diel vertical distribution of Antarctic krill around the South Shetland Islands in February 2019 and its potential effect on biomass estimation X. Wang, X. Yu, J. Zhang and X. Zhao
Resumen:
To address the potential effect of DVM behavior on krill biomass estimates, diel vertical distribution of krill swarms around the South Shetland Islands in Subarea 48.1 were analyzed based on data collected by the Chinese fishing vessel participating in the international 2019 Area 48 survey. Results show that more krill swarms were found in shallower depth at night than during daytime, while Read More
Presentado por:
Dr Xinliang Wang (China)
Aprobado por:
Dr Xianyong Zhao (China)
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2, 2.1.3 |
SG-ASAM-2019/08 Rev. 1 Mostrar menos información |
Biomass results from the International Synoptic Krill Survey in Area 48, 2019 G. Macaulay, G. Skaret, T. Knutsen, O.A. Bergstad, B. Krafft, S. Fielding, S. Choi, S. Chung, K. Demianenko, V. Podhornyi, K. Vishnyakova, L. Pshenichnov, A. Chuklin, A. Shishman, X. Wang, X. Zhao and M. Cox
Resumen:
Results from the International Synoptic Krill Survey in Area 48, 2019, are presented. This survey covered both the strata occupied during the CCAMLR 2000 acoustic survey and the strata that comprise the regular AMLR survey. Acoustic transects (10534 n.mi), oceanographic measurements (253 casts), and trawls (164) were carried out as per survey procedures developed in 2018, which were based on Read More
Presentado por:
Dr Gavin Macaulay
Aprobado por:
Dr Odd Aksel Bergstad (Noruega)
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2.1 |
SG-ASAM-2019/07 Mostrar menos información |
Biomass estimates of Antarctic krill based on survey conducted by the Chinese fishing vessel FV Fu Rong Hai during the 2019 Area 48 survey X. Wang, X. Yu, X. Zhao, J. Zhang, G. Fan, J. Zhu and Y. Ying
Resumen:
As a contribution to the joint effort on the large-scale international synoptic krill survey of Area 48 (2019 Area 48 survey), the Chinese krill fishing vessel F/V Fu Rong Hai conducted the acoustic survey around the South Shetland Islands and the Elephant Islands in the Subarea 48.1 from 5th to 10th February 2019. Implementation and preliminary results on the Read More
Presentado por:
Dr Xinliang Wang (China)
Aprobado por:
Dr Xianyong Zhao (China)
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2.1 |
SG-ASAM-2019/03 Rev. 1 Mostrar menos información |
Density estimation of Antarctic krill (Euphausia superba) around South Shetland Island and Elephant Island (Subarea 48.1) using two frequencies with 38 and 120 kHz S. Choi, S. Chung, I. Han, W. Oh, D. An and K. Lee
Resumen:
The density of Antarctic krill swarm inhabiting the Subarea 48.1, which includes the Elephant Island peripheries and the west and north of the South Shetland Island, was estimated using an acoustics survey. Acoustic data were collected using two frequencies with 38 and 120 kHz from March 8 to 15 in 2019. Krill were collected by the commercial midwater trawl fishing vessel. The data were Read More
Presentado por:
Dr Sangdeok Chung (República de Corea)
Aprobado por:
Dr Seok-Gwan Choi (República de Corea)
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2.1.2 |
SG-ASAM-2019/06 Mostrar menos información |
Comparison of krill density estimated with swarm-based and dB-difference method using acoustic data collected by Chinese fishing vessel participating in the 2019 Area 48 survey X. Yu, X. Wang, J. Zhang and X. Zhao
Resumen:
To address the effect of various identification methods on krill biomass estimates, comparison on the swarm-based and dB-difference (Sv120kHz-Sv38kHz) identification method were made using the acoustic data collected around the South Shetland Islands in Subarea 48.1 by the Chinese fishing vessel F/V Fu Rong Hai during the 2019 Area 48 survey. Identification Read More
Presentado por:
Dr Xiaotao Yu (China)
Aprobado por:
Dr Xianyong Zhao (China)
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2.1.2 |
SG-ASAM-2019/10 Mostrar menos información |
Methodological aspects of the International Synoptic Krill Survey in Area 48, 2019 G. Macaulay, G. Skaret, T. Knutsen and B. Krafft
Resumen:
The effect of differences in the methodology used for the CCAMLR 2000 krill acoustic survey and the 2019 synoptic survey were considered. These were 1) the effect of acoustic surveying at night, 2) differing trawl selectivity between the vessels that participated in the survey, and 3) the effect of krill discrimination method. Surveying during the day only produced a 6% increase in the Read More
Presentado por:
Dr Gavin Macaulay
Aprobado por:
Dr Odd Aksel Bergstad (Noruega)
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2.1.2, 2.1.3 |
SG-ASAM-2019/05 Mostrar menos información |
Diel vertical distribution of Antarctic krill around the South Shetland Islands in February 2019 and its potential effect on biomass estimation X. Wang, X. Yu, J. Zhang and X. Zhao
Resumen:
To address the potential effect of DVM behavior on krill biomass estimates, diel vertical distribution of krill swarms around the South Shetland Islands in Subarea 48.1 were analyzed based on data collected by the Chinese fishing vessel participating in the international 2019 Area 48 survey. Results show that more krill swarms were found in shallower depth at night than during daytime, while Read More
Presentado por:
Dr Xinliang Wang (China)
Aprobado por:
Dr Xianyong Zhao (China)
Solicitar acceso a documento de reunión
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2, 2.1.3 |
SG-ASAM-2019/10 Mostrar menos información |
Methodological aspects of the International Synoptic Krill Survey in Area 48, 2019 G. Macaulay, G. Skaret, T. Knutsen and B. Krafft
Resumen:
The effect of differences in the methodology used for the CCAMLR 2000 krill acoustic survey and the 2019 synoptic survey were considered. These were 1) the effect of acoustic surveying at night, 2) differing trawl selectivity between the vessels that participated in the survey, and 3) the effect of krill discrimination method. Surveying during the day only produced a 6% increase in the Read More
Presentado por:
Dr Gavin Macaulay
Aprobado por:
Dr Odd Aksel Bergstad (Noruega)
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2.1.2, 2.1.3 |
SG-ASAM-2019/02 Mostrar menos información |
Preliminary biomass estimation of Antarctic krill based on the swarm-based method for CCAMLR Division 58.4.1 in 2018/19 using data obtained by Japanese survey vessel Kaiyo-maru K. Abe, R. Matsukura, N. Yamamoto, K. Amakasu and H. Murase
Resumen:
Biomass (B0) of Antarctic krill for CCAMLR Division 58.4.1 in 2018/19 was preliminarily estimated as 4.349 million ton (CV=54.8 %) based on the swam based method using data obtained by Kaiyo-maru. The point estimate was comparable with the estimate in 1996 by BROKE (4.83 million ton with CV=17 %). However, they can not be compared directly because (1) biomass Read More
Presentado por:
Dr Hiroto Murase (Japón)
Aprobado por:
Dr Taro Ichii
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2.2 |
SG-ASAM-2019/01 Mostrar menos información |
Acoustic data collection by the krill fishing industry to improve the monitoring of krill abundance K. Reid and J. Arata
Resumen:
SG-ASAM are invited to consider provide further recommendations for improving this fishing vessel data collection program and provide advice on
- the timing and frequency for conducting acoustic transects;
- the methods for the data transmission to the Secretariat including the use of EchoExplore to provide a meta-data catalogue of the data and
- whether to have Read More
Presentado por:
Ms Doro Forck (Secretaría de la CCRVMA)
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3 |
SG-ASAM-2019/04 Rev. 1 Mostrar menos información |
Time series of Antarctic krill estimates around the South Shetland Islands from 2013 to 2019 X. Yu, X. Wang, X. Zhao, J. Zhang, G. Fan, Y. Ying and J. Zhu
Resumen:
Metadata for krill biomass time series obtained by Chinese krill fishing vessel in Subarea 48.1 is submitted with accompanying description of the acoustic survey and data analysis. Distribution of Antarctic krill for the 2013/14 to 2015/16 and the 2017/18 to 2018/19 fishing seasons were mapped by the Chinese F/V Fu Rong Hai to understand the interannual variations of Antarctic krill Read More
Presentado por:
Dr Xiaotao Yu (China)
Aprobado por:
Dr Xianyong Zhao (China)
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3 |
SG-ASAM-2019/09 Mostrar menos información |
Supervised and unsupervised (RapidKrill) estimates of krill density from DY098 A. Ariza, S. Fielding and R. Blackwell
Resumen:
We compare supervised, using the interactive software Echoview™, and unsupervised, using python, processing of acoustic data collected during the UK cruise DY098. The same data processing procedures are applied in both methods, and we show that the unsupervised method comes up with a similar estimate of krill NASC and krill density as the supervised method. An Read More
Presentado por:
Dr Sophie Fielding (Reino Unido)
Aprobado por:
Ms Doro Forck (Secretaría de la CCRVMA)
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3.2 |