THE SPATIOTEMPORAL DISTRIBUTION OF FISHING GROUNDS FOR ANTARCTIC KRILL(EUPHAUSIA SUPERBA) AROUND THE SOUTH ORKNEY ISLANDS IN AUSTRAL SUMMER-AUTUMN AND ITS RELATION TO ENVIRONMENTAL FACTORS BASED ON A GENERALIZED ADDITIVE MODEL

doi:10.3724/SP.J.1084.2012.00266

Abstract

Abstract: The present study analyze the spatial-temporal distribution of Antarctic krill (Euphausia superba) fishery in the South Orkney Islands in the austral summer-autumn during 2009-2010 season and 2010-2011 season using the generalized additive model (GAM) based on the data collected from the scientific observers of Chinese Antarctic krill fishery, the relationship between the spatial-temporal distribution of Antarctic krill fishery and sea surface temperature (SST) and sea state are also analyzed. The results show that the rate of deviance explained about CPUE (catch per unit effort) is 41.78 %, the factor that provides the largest contribution is month and the contribution rate is 15.53 %. Significant difference can be found for the distribution pattern on CPUE in different months. The average CPUE value attain the lowest in January and reach the highest in April; significant difference can also be occurred in average CPUE value among months. The main fishing ground is concentrated in 60°12′S to 60°30′S, 45°30′W to 47°30′W. The suitable SST range is 0.1 to 1.8 ℃ and the most suitable range of SST is 0.5 to 1.5 ℃. The average CPUE values have remarkably difference among sea states and vessels. The results of stepwise GAM show that the relative importance of the six variables affecting CPUE of Antarctic krill fishery in the South Orkney Islands can be described as the following order: month, vessel, longitude, SST, latitude, and sea state.

Key words: Antarctic krill, South Orkney Islands, generalized Additive Model, fishing ground

Zhu Guoping，Zhu Xiaoyan，Xu Yiying，Xia Hui，Li Yingchun，Xu Pengxiang，Xu Liuxiong. THE SPATIOTEMPORAL DISTRIBUTION OF FISHING GROUNDS FOR ANTARCTIC KRILL(EUPHAUSIA SUPERBA) AROUND THE SOUTH ORKNEY ISLANDS IN AUSTRAL SUMMER-AUTUMN AND ITS RELATION TO ENVIRONMENTAL FACTORS BASED ON A GENERALIZED ADDITIVE MODEL[J]. ADVANCES IN POLAR SCIENCE, 2012, 24(3): 266-273.

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