Sea ice is a major constraint of fishery performance in the Southern Ocean seasonal sea ice zone. We use sea ice concentration data from 2002-2017 that cover the wider Weddell Sea to establish statistical models of (i) accessibility, i.e. the probability that a particular area is navigable by fishery vessels at a given time, and of (ii) repeated accessibility, i.e. the probability that a particular area is navigable by fishery vessels at a given time and again within the following two years, as requested by CCAMLR research fishery regulations. Our findings indicate that under the actual sea ice conditions almost 50% of the entire WSMPA Planning Area is not suitable for fishery vessels at any time of the year, while there are high spatiotemporal variability in repeated accessibility in particular areas such as along the ice shelf of the eastern and south-eastern Weddell Sea. We consider our models to constitute valuable, riskreducing planning tools in the further development of fishery research as well as of ship-bound tourism in the wider Weddell Sea area.
The one nautical mile integrated Nautical Area Scattering Coefficient (NASC) values of four surveys in 48.1 fishing area were calculated using both the swarm-based and conventional grid-based acoustic data processing methods. All parameter settings were consistent with the reports of SG-ASAM-2017 except that the dB difference window of Sv120 kHz-Sv38kHz is set 0 to 20 dB. And the two groups of results were compared by correlation, linear regression analysis and nonparametric significant difference tests (Kruskal-Wallis tests) to examine the validation of the developed swarm-based method for Antarctic krill density estimation. The comparisons suggest that the calculated NASC values of swarm-based and grid-based method show non-significant difference and significant linear relationship for all the four surveys. Therefore, it is concluded that the krill density estimated by swarm-based and grid-based method could be of good agreement.
During the meeting, the subgroup suggested further analysis on swam-based approach and grid-based approach based on data in the paper. In accordance to the suggestions, further analyses were undertaken and the results were shown in Appendix A.
The distribution and abundance of krill aggregation inhabiting the Subarea 48.1, which includes the Elephant Island peripheries and the west and south of the South Shetland Island, were estimated using an acoustics survey. Acoustic data were collected with 38 and 120 kHz from April 13 to 24 in 2016 and 38 and 200 kHz from March 6 to 14 and 38 and 120 kHz on April 27 and May 5 in 2017. Krill were collected by the commercial middle trawl fishing vessel. The data were processed and analyzed following CCAMLR standard protocols using swarm integration (SHAPES module within that software for swarm identification) based on data from a transect-based survey. The weighted krill density and biomass were estimated to be 0.20 g/m2 and 18 thousand tons (CV=33.8%) applying Sv difference 3.96-5.91 dB and 0.92 g/m2 and 83 thousand tonnes (CV=31.4%) applying Sv difference -3.0-13.8 dB in 2017, respectively. Krill density and biomass were significantly higher in 2016 than those in 2017.