Closed mostly within the Weddell Sea Subarea 48.5 is one of the closed data-poor CCAMLR Subareas. Stock assessment of this area should be calculated basing on the newest and adequate data. Despite the difficult ice conditions the Weddell Sea is the largest enclosed near-continental sea of the Antarctic which is very similar to the Ross Sea in some respects like shape, bathymetrical profile and current system. Such similarity gives hope that the Weddell Sea could become one of the most promising areas for exploratory fishery of Dissostichus sp. and disperse fishing load from the Ross Sea. However, fishery in subarea 48.5 is closed based on absent stock assessment. The main objective of the present program is collecting data for reliable stock assessment and following estimation of precautionary limits in accordance with CCAMLR decision rules. The program contains several phases and prospected for 5 years. Detailed plan of fishing operations, collecting and analysis of data will be provided for the Scientific Committee and Commission consideration.

According to the direction of the XXXIII meeting of the Scientific Committee that data-poor area in the future would need to be consistent with the original research objectives approved in 2012 (SC-CAMLR-XXXIII, par. 3.233) in this work we present the original adopted research program in the Weddell Sea (WG-FSA-12/12) with minor revisions that reflect the current situation.

Exploratory fishing for toothfish (Dissostichus spp.) in Division 58.4.1 began in 2003. Robust stock assessment and catch limits according to CCAMLR decision rules remain to be determined for this Division. In 2008, only one vessel, Tronio, has conducted research fishing in accordance with a research plan submitted under CM 24-01. France notifies its wish to collaborate in this research fishery with the other participants over the coming years in order to participate in the tagging program and achieve a robust stock assessment. The aim is to collect sufficient data to provide an advice on a catch limit according to CCAMLR decision rules. This paper presents a proposal for a research plan for 2015/2016 developed under Conservation Measure 41-01. The biomass in the Division was estimated by research block during WG-FSA 2014 using CPUE x seabed analogy method. In the absence of an assessment using the CCAMLR decision rules, the catch limit should remain unchanged at 724 tonnes for 2015/16 to maximize the expectation of tag-recapture.

Exploratory fishing for toothfish (Dissostichus spp.) in Division 58.4.2 began in 2003. Robust stock assessment and catch limits according to CCAMLR decision rules remain to be determined for this Division. In 2014, the fishery was limited to one Japanese and one Spanish flagged vessel using longlines only, but there was no fishing activity. France notifies its wish to collaborate in this research fishery with the other participants over the coming years in order to participate in the tagging program and achieve a robust stock assessment. The aim is to collect sufficient data to provide an advice on a catch limit according to CCAMLR decision rules. This paper presents a proposal for a research plan for 2015/2016 developed under Conservation Measure 41-01. The biomass in the Division was estimated during WG-FSA 2014 using CPUE x seabed analogy method. In the absence of an assessment using the CCAMLR decision rules, the catch limit should remain unchanged at 35 tonnes for 2015/16 to maximize the expectation of tag-recapture.

A survey was conducted to collect data of stock status and various biological information of toothfish in the research blocks 58.4.4b_1 (SSRU 58.4.4C) and 58.4.4b_2 (SSRU 58.4.4D) of Division 58.4.4b (Ob Lena Banks) from July 18 to September 20, 2014. A total of 88 hauls using normal trotline system were made in the blocks. Total catch of Dissostichus eleginoides (excluding those tagged and released) was 26.6 tonnes in the survey area. Mean CPUEs in terms of weight of D. eleginoides was 32.9 kg / km (CV = 11.3%) and 38.3 kg / km (CV = 13.6%) in the blocks 58.4.4b_1 and 58.4.4b_2, respectively. Fish in single-hooked and good physical condition constituted 72.6 and 74.1 % of the total catch in the block 58.4.4b_1 and 58.4.4b_2, respectively. Accordingly sufficient numbers of fish suitable for tagging was captured by using the normal trotline system as well as in the preceding season. A total of 159 fish of D. eleginoides in good physical condition and single-hooked were tagged and released during the survey, and total of 5 and 4 fish of D. eleginoides, which were tagged and released in the block 58.4.4b_1 and 58.4.4b_2 in the previous seasons, were recaptured in the same blocks, respectively. Nine sets in the block 58.4.4b_1 were affected by killer whales.

In this document, we revise stock status assessments of D. eleginoides in research blocks 58.4.4b_1 and 58.4.4b_2 using CPUE analogy method, Petersen method and CASAL model. Detailed results using CASAL models in research block 58.4.4b_1 are described in a separated document. The estimated stock size in block 58.4.4b_1 was 597, 336 and 553 tonnes in CPUE analogy method, Petersen method and CASAL OB_1b model (vulnerable biomass in 2014), respectively.

The stock sizes of D. eleginoides in block 58.4.4b_2 is estimated at 648 tonnes only by using CPUE method, as the catch and tagging data in block 58.4.4b_2 was not enough to be applied to Petersen method and CASAL models.

We propose to continue the current research operation for the next fishing season with the same survey design and total sample size of 60 tonnes in order to further strengthen the stock assessments in the area.

This paper reports analysis of CPUE data on cod in the Barents Sea.  The potential of fleet effort standardisation is explored based on vessel calibration factors, which are established when vessel trawling operations take place at acceptable proximity in time and space. The methodological approach might be of interest for the longline fishery for tothfish as well as for the trawl fishery on krill.

A model for standardisation of fishing power for individual vessels in a commercial fishing fleet is developed. Catch rates of vessels are compared when they are fishing close together in time and space, and their fishing power relative to a standard vessel is calculated. The model is applied to a logbook data base from the Norwegian bottom trawler fleet, and effects of varying model parameters are explored. Relative fishing power from the model is correlated with the vessel's length and engine power. The model seems to be robust when varying catch composition criteria, minimum number of comparisons required and standard vessel.