WG-ASAM-2021/01 Plus d'infos |
Repository of acoustic data collected by fishing vessels CCAMLR Secretariat
Résumé:
WG-ASAM is invited to provide recommendations on improving the repository of acoustic data collected by fishing vessels maintained by the Secretariat and to provide advice on:
- Whether the surveys listed in Annex 1 correspond to what is expected to be included in this repository.
- Whether the metadata provided in Annex 2 meet metadata requirements.
- Responsibility Read More
Soumis par:
Daphnis De Pooter (Secrétariat de la CCAMLR)
Approuvé par:
David Agnew (Secrétariat de la CCAMLR)
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4 |
WG-ASAM-2021/02 Plus d'infos |
Biases in acoustic biomass density estimates used for calculating catch limits C.S. Reiss, J. Hinke, A.M. Cossio, G.R. Cutter and G.M. Watters
Résumé:
We provide estimates of krill biomass density in three survey strata defined by the U.S. AMLR Program: Elephant Island (EI), the West Shelf (WA), and the Bransfield Strait (or South Area (SA)). We include density estimates from U.S. AMLR research vessel surveys conducted from 1996 to 2011 and from gliders deployed in 2018-19. We also include density estimates from fishery-independent surveys Read More
Soumis par:
Christian Reiss
Approuvé par:
George Watters
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3 |
WG-ASAM-2021/03 Plus d'infos |
Comparison analysis of krill length compositions from catches obtained by research and commercial midwater trawls S. Sergeev and S. Kasatkina
Résumé:
The authors have analyzed the krill size composition in the catches taken by fishing vessels and the RV Atlantida in the local fishing ground within several day to exclude any influence of krill drift on results obtained. The fishing ground was located in Subarea 48.2 (SSMU SOW). This comparative analysis clearly demonstrate both the differences in the krill length Read More
Soumis par:
Svetlana Kasatkina (Fédération de Russie)
Approuvé par:
Svetlana Kasatkina (Fédération de Russie)
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3 |
WG-ASAM-2021/04 Rev. 1 Plus d'infos |
Results of acoustic survey in Subarea 48.1 and 48.2 carried out by Russian RV «Atlántida» in 2020 S. Kasatkina, A. Abramov, M. Sokolov, A. Sytov and D. Kozlov
Résumé:
The Russian krill research in Subarea 48.1 and 48.2 were carried out by RV “Atlantida” in the period January-March 2020 including acoustic surveys, accompanied by a wide range of ecosystem studies on the biology of krill and its habitat (hydrometeorological, oceanological and hydrochemical data) bio-productivity indices (chlorophyll, primary Read More
Soumis par:
Svetlana Kasatkina (Fédération de Russie)
Approuvé par:
Svetlana Kasatkina (Fédération de Russie)
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2.1 |
WG-ASAM-2021/05 Rev. 1 Plus d'infos |
Analysis of acoustic data to examine spatial and temporal variability of krill distribution from repeated transects S. Kasatkina, A. Abramov, M. Sokolov and A. Malyshko
Résumé:
Authors present the acoustic data obtained on the R/V Atlantida cruise in 2020 to examine spatial and temporal variability of krill distribution. These data were collected in Subareas 48.1 and 48.2 using the repeated transect system, including: local survey in Bransfield Strait and two mesoscale reference transects (one is in the Elephant Island stratum and one is in the Read More
Soumis par:
Svetlana Kasatkina (Fédération de Russie)
Approuvé par:
Svetlana Kasatkina (Fédération de Russie)
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4 |
WG-ASAM-2021/06 Plus d'infos |
A revised biomass estimation of Antarctic krill based on the up-to-date 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
Résumé:
A multidisciplinary ecosystem survey in the eastern Indian sector of the Antarctic (CCAMLR Division 58.4.1) with a focus on Antarctic krill was carried out by Japanese survey vessel, Kaiyo-maru, during the 2018/19 season. A revised biomass (B0) of Antarctic krill was estimated using the survey data applying Echoview template, EchoviewR and R code for the random Read More
Soumis par:
Hiroto Murase (Japon)
Approuvé par:
Mako Iioka (Japon)
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2.2 |
WG-ASAM-2021/07 Plus d'infos |
Echogram noise removal can remove significant amounts of krill backscatter G. Macaulay, G. Skaret and B. Krafft
Résumé:
A maximum threshold setting in the noise removal part of the Echoview template used for acoustic krill biomass estimation can remove significant amounts of krill backscatter. A revised threshold setting is proposed and applied to the 2019 International Synoptic Krill survey in Area 48, resulting in a 16% increase in the biomass estimate.
Soumis par:
Gavin Macaulay
Approuvé par:
Bjørn Krafft (Norvège)
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3 |
WG-ASAM-2021/08 Plus d'infos |
Using unmanned surface vehicles to monitor krill density during fishing and obtain regular updates of pre-exploitation biomass S. Menze, A. Lowther and B.A. Krafft
Résumé:
This working group paper presents ideas and experiences regarding the use of unmanned surface vehicles (USVs) to monitor krill density in a fishing hotspot. While USVs have the advantage of reduced survey costs, reduced risk for personnel and higher data resolution in time and space, they sometimes struggle to follow straight transects and to withstand the rough weather and sea ice conditions Read More
Soumis par:
Sebastian Menze
Approuvé par:
Bjørn Krafft (Norvège)
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4 |
WG-ASAM-2021/09 Plus d'infos |
The various spatial scales available for consideration and the distribution of the krill fishery in Subarea 48.1 Y. Ying, X. Zhao, G. Fan and X. Wang
Résumé:
Acoustic data on Antarctic krill in Subarea 48.1 are available in several spatial scales that are relevant to the work of WG-ASAM-2021. The various spatial scales (or areas with different size and shape) available from CCAMLR that could be considered by WG-ASAM-2021 to provide biomass estimates of Antarctic krill in Subarea 48.1, together with the US AMLR survey strata and the Chinese fishing Read More
Soumis par:
Xinliang Wang
Approuvé par:
Xianyong Zhao (Chine)
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2.1 |
WG-ASAM-2021/10 Plus d'infos |
Potential effect of the chosen length-frequency distribution on acoustic biomass estimates of Antarctic krill X. Wang, X. Zhao and Q. Xu
Résumé:
Length frequency distribution (or length PDF) of Antarctic krill is an important input for converting the acoustic density to biomass estimate. For the 2019 Area 48 multi-national krill survey, various sources of length data were combined to provide the krill PDF for biomass estimation, and its potential effect was also discussed. To address this issue further, the potential effect of krill Read More
Soumis par:
Xinliang Wang
Approuvé par:
Xianyong Zhao (Chine)
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3 |
WG-ASAM-2021/11 Plus d'infos |
Monthly variation of Antarctic krill biomass in a main fishing ground in the Bransfield strait based on fishing vessel acoustic data collected during routine fishing operations Y. Zhao, X. Wang, X. Zhao, Y. Ying and J. Zhang
Résumé:
With the recent development of techniques and protocols for the acquisition and processing of acoustic data collected aboard krill fishing vessels, a large volume of acoustic data accumulated by fishing vessels become usable. The acoustic data collected in a main fishing ground (or hotspot) in the Bransfield strait by one of the Chinese krill fishing vessel, namely F/V Fu Rong Hai, is Read More
Soumis par:
Xinliang Wang
Approuvé par:
Xianyong Zhao (Chine)
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4 |
WG-ASAM-2021/12 Plus d'infos |
Biomass of Antarctic krill (Euphausia superba) in the eastern sector of the CCAMLR Division 58.4.2 M.J. Cox, G. Macaulay, N. Kelly, R. King, D. Maschette, J. Melvin, A. Smith, S. Wotherspoon and S. Kawaguchi
Résumé:
In February and March 2021 an acoustic-trawl survey was carried out to estimate the biomass of Antarctic krill (Euphausia superba) in the eastern sector of the CCAMLR Division 58.4.2 (area = 775,732 km2.) The survey was run from the Australian Research Vessel RV Investigator operating a calibrated EK80 scientific echosounder and an RMT-8 + 1 net. Krill were Read More
Soumis par:
Martin Cox
Approuvé par:
Philippe Ziegler (Australia)
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2.2 |
WG-ASAM-2021/13 Plus d'infos |
Biomass estimates of Antarctic krill around the South Shetland Islands based on surveys conducted by a Chinese fishing vessel from 2013 to 2019 X. Wang, X. Yu, X. Zhao, J. Zhang, G. Fan, Y. Ying and J. Zhu
Résumé:
Time series of annual biomass estimates of Antarctic krill around the South Shetland Islands during the period of 2013 to 2019 is provided to aid the discussion on biomass estimation in Subarea 48.1. The estimates were based on data described in the working document ASAM-2019-04r1, which presented the time series of krill density estimates resulting from the annual acoustic surveys conducted Read More
Soumis par:
Xinliang Wang
Approuvé par:
Xianyong Zhao (Chine)
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2.1 |
WG-ASAM-2021/14 Plus d'infos |
Developing plausible estimates of subarea and fished area biomasses B.A. Krafft, G. Macaulay, S. Fielding and P.N. Trathan
Résumé:
In this paper we present krill density biomass estimates for Subareas 48.1, 48.2, 48.3 and 48.4 and for current fished areas, using post-hoc stratification of krill density estimates from the 2019 International Krill Survey. We highlight the importance of survey strata design for the differing areas, with implications for management. Each level of stratification requires different Read More
Soumis par:
Phil Trathan
Approuvé par:
Chris Darby
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2.1 |
WG-ASAM-2021/15 Plus d'infos |
Acoustic transects undertaken by fishing vessels at South Georgia S. Fielding, J. Arata and P.N. Trathan |
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WG-ASAM-2021/P01 Plus d'infos |
Glider-Based Estimates of Meso-Zooplankton Biomass Density: A Fisheries Case Study on Antarctic Krill (Euphausia superba) Around the Northern Antarctic Peninsula C.S. Reiss, A.M. Cossio, J. Walsh, G.R. Cutter and G.M. Watters
Résumé:
We compare estimates of krill density derived from gliders to those from contemporaneous and previous ship-based surveys. Our comparisons cover several temporal and spatial scales within two strata around the northern Antarctic Peninsula (off Cape Shirreff on the north side of Livingston Island and in the Bransfield Strait). Our objective is to explore the feasibility of using gliders to Read More
Soumis par:
Christian Reiss
Approuvé par:
George Watters
Publication:
Frontiers in Marine Science, 8 (2021): 1–18, doi: 10.3389/fmars.2021.604043
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2.1 |