Within the CCAMLR area, high quantities of images are collected by scientific observers at sea while performing the tasks outlined the Scheme on International Scientific Observation (SISO). These include photos of tags, cetaceans, birds and bird bands, fishing gear, or unusual and unidentified species. In order to maintain version control, to process and file the photographs efficiently, and to ensure compatibility and transferability between statistical subareas during different observer deployments, it is crucial to develop a common naming convention that allows to keep track of where, when, and on which vessel a picture was taken by whom, together with basic information on the picture content. This paper describes the naming convention discussed between MNHN, CapFish, MRAG and CEFAS and the development of a tool in Excel.

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.

Conversion Factor is a crucial value used to calculate green weight using product weight and thus assess the amount of fish withdrawn from the stock. This paper describes factors influencing conversion factor using data collected on Patagonian toothfish within the French EEZ, results emphasise the need to calculate CF with a sub-sample of the catch that is representative of the total catch in terms of size, space and time. It also looks at the size of sub-sample used for conversion factor measurement in relation with the accuracy of weight estimated at sea.

Depredation is an increasing concern in areas where Patagonian toothfish is targeted. In order to assess its effect and understand the process of depredation by killer whales and sperm whales, good quality data needs to be collected at sea. This paper describes the different variables collected by observers within French EEZ (area 58.5.1 and 58.6).

Depredation is observed in many places within the convention area and is an increasing concern for fishery. Killer whale and sperm whales are the two odontocetes species mainly responsible for this issue. One of the key point to understand the process of depredation is to use photo-identification, pictures taken by observers on board longline vessels targeting toothfish have been analysed. Several photo-identification catalogues have been produced as a reference to identify individuals.

This photographic guide has been developed with the aim of assisting observers at sea in the correct identification of seabirds. It does this through providing several images for each species, at different stages and different angles both in the air and in the water. This project has been achieved thanks to French observers at sea working in Kerguelen and Crozet waters under the TAAF administration scheme.

Understanding and predicting the distribution of Antarctic toothfish (Dissostichus mawsoni) habitat suitability at different spatial and temporal scales can make an important contribution to CCAMLR’s management of this species. In this paper the use of Maxent models with fishery catch data and environmental data to provide a circumpolar prediction of Antarctic toothfish habitat suitability is explored. Maxent is highly sensitive to biased sampling effort and the selection of background data. Hence, the influence of background data selection on Maxent model predictions using two approaches was tested: (1) a random background sampling approach across the CAMLR Convention Area and; (2) a target-group background sampling approach that aims to correct biased sampling effort. The predictions from the target-group background approach resulted in the most accurate predictions, but predictions needed to be constrained within an appropriate bathymetric range via post-processing. This resulted in an accurate and more realistic prediction of the distribution of Antarctic toothfish habitat suitability.

Grenadiers (Macrourus spp.) are a common by-catch of the Australian fisheries in Division 58.5.2, particularly for longline operations targeting Patagonian toothfish (Dissostichus eleginoides) (Van Wijk & Williams 2003; CCAMLR 2014). Improved identification tools and targeted sampling during the 2015 random stratified trawl survey confirmed that Caml grenadier (Macrourus caml) is present in Division 58.5.2, and likely to one of the most common grenadier by-caught. Sufficient data was collected in the survey, and subsequent commercial longline operations, to enable an assessment of the long term sustainable yield of M. caml at HIMI using the Generalised Yield Model. On the basis of this information, we propose an increase in total allowable catch based on the long-term sustainable yield for M. caml, and a proportional readjustment of the move-on rule.

An updated and revised assessment of the Patagonian toothfish (Dissostichus eleginoides) stocks in Crozet areas is presented. This study is based on a CASAL (C++ Algorithmic Stock Assessment Laboratory) model. Different statistical and biological datasets are used: catches, tag releases/recaptures data and commercial catch-at-length data.