极地研究2012，Vol.24Issue(3)：266-273,8.DOI:10.3724/SP.J.1084.2012.00266
基于GAM模型分析夏秋季南奥克尼群岛南极磷虾渔场时空分布及与环境因子之间的关系
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
摘要
Abstract
This study presents an analysis of spatiotemporal distribution of the Antarctic krill ( Euphausia superba) fishery in the South Orkney Islands in the austral summer-autumn during 2009-2010 and 2010-2011. The analysis was carried by applying a generalized additive model (GAM) based on data collected from scientific observers of the Chinese Antarctic krill fishery. The relationship between the spatiotemporal distribution of the Antarctic krill fishery and sea surface temperature (SST) and sea state also were analyzed. Results show that the rate of deviance explained about 41. 78 % of the catch per unit effort ( CPUE). The factor that provided the largest contribution was the month, and its contribution rate was 15. 53%. A significant difference was found for the distribution pattern on CPUE in different months. The average CPUE values were lowest in January and highest in April. A significant difference also was found in average CPUE values among months. The main fishing ground is concentrated at 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 were remarkably different among sea states and vessels. Results of stepwise GAM show the relative importance of the six variables affecting CPUE of the Antarctic krill fishery in the South Orkney Islands. This relationship can be described in the order; month, vessel, longitude, SST, latitude, and sea state.关键词
南极磷虾/南奥克尼群岛/GAM/渔场Key words
Antarctic krill/South Orkney Islands/Generalized Additive Model/fishing ground引用本文复制引用
朱国平,朱小艳,徐怡瑛,夏辉,李莹春,徐鹏翔,许柳雄..基于GAM模型分析夏秋季南奥克尼群岛南极磷虾渔场时空分布及与环境因子之间的关系[J].极地研究,2012,24(3):266-273,8.基金项目
国家“863”计划项目(2012AA092302)、公益性行业(农业)科研专项(201203018)、农业部南极海洋生物资源开发与利用项目(D-8003-09-0158)和上海海洋大学“海鸥计划”项目(B-5003-11-0023)资助 （2012AA092302）
