CCAMLR

This paper reviews information from krill fisheries operating in the CCAMLR Convention Area during the period July 1999 to June 2001. During that period, 14 vessels targeted krill in Area 48 during the 1999/2000 season (July 1999 to June 2000). A total of 104259 t of krill was caught, of which 69954 t were taken from Subarea 48.1, 28649 t from Subarea 48.2, 4671 t from Subarea 48.3, and 985 t from within Area 48 (subarea not specified). Between July and November 2000, 11 vessels targeted krill in Area 48, and the total catch of krill reported during that period was 30175 t. The 2000/01 fishing season for krill began on 1 December 2000 and ends on 30 November 2001. The total krill catch reported to date (17 June 2001) for the 2000/01 season is 45223 t; 9 vessels are believed to be fishing. No fishing was reported in Areas 58 and 88.
At the request of SC-CAMLR-XIX, a draft Fishery Plan for the krill fishery is also presented as a means of refining the procedure and generating future discussion.

This paper summarises some of the main tasks which the Secretariat has undertaken over the past year in support of WG-EMM. The outcome of these tasks are outlined in table format. Where required, detailed information is provided in meeting papers

The CCAMLR Ecosystem Monitoring Program uses indices derived from data on indicator species and the environment collected by standard methods within the three Integrated Study Regions of the Convention Area. Standardised index values are re-calculated each year as new data become available, and trends and anomalies in these data are presented.

In response to the debate at WG-EMM-99 about the development of the ecosystem approach within CCAMLR. The Secretariat prepared a review of the various tasks initiated at WG-EMM-95 and later meetings (WG-EMM-00/29). The Working Group requested that the review should be updated annually. The 2001 review covers meetings of WG-EMM from 1995 to 2000.

We use data collected on the CCAMLR-IWC Krill Synoptic Survey (2000) to investigate relationships between cetacean density, krill density and oceanographic conditions. We explore the use of generalized additive models (GAMs) to model these relationships, and show how these models can provide abundance estimates for sub-areas within the survey region, as well as for the survey region itself. Abundance estimates from a simple conventional line transect analysis are also presented.