文章摘要
戴小杰,马 超,田思泉.印度洋中国大眼金枪鱼延绳钓渔业CPUE标准化[J].上海海洋大学学报,2011,20(2):275-283
印度洋中国大眼金枪鱼延绳钓渔业CPUE标准化
CPUE standardization of Chinese longline fishery for targeting bigeye tuna, Thunnus obesus in the Indian Ocean
  
DOI:
中文关键词: CPUE标准化  GAM  GLM  印度洋  大眼金枪鱼
英文关键词: CPUE standardization  GAM  GLM  bigeye tuna  Indian Ocean
基金项目:农业部三大洋金枪鱼观察员项目(08-54); 上海市重点捕捞学科建设项目(S30702)
作者单位
戴小杰 上海海洋大学 海洋科学学院 
马 超 上海海洋大学 海洋科学学院 
田思泉 上海海洋大学 海洋科学学院 
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中文摘要:
      使用广义线性模型(GLM)和广义可加模型(GAM)对印度洋中国大眼金枪鱼渔业的单位捕捞努力量渔获量(CPUE)进行标准化。在CPUE标准化模型中,考虑了空间(经度与纬度)、时间(年与月)和环境(包括各深度温度、各深度盐度和海平面高度)等变量。结果表明,标准化CPUE和名义CPUE在时空分布上呈相似的趋势。年CPUE随时间呈现下降的趋势,高CPUE经常出现在42°E~60°E、85°E ~90°E、15°S~5°S和10°N~15°N的区域内。GLM和GAM分析都显示出经度是影响CPUE最重要的变量,可分别解释17.3%和23.81%的变异;纬度、经度和纬度的交互效应、年份、381 m水层温度、317 m水层温度对CPUE的影响也是明显的。此研究中GLM模型比GAM模型更合适。
英文摘要:
      Generalized Linear Models (GLM) and Generalized Additive Models (GAM) were used to standardize catch per unit fishing effort (CPUE) of Chinese bigeye tuna (Thunnus obesus) fishery in the Indian Ocean. In CPUE standardization, nominal CPUE was treated as the dependent variable and three groups of affected variables were considered: spatial variables (longitude and latitude), temporal variables (year and month) and environmental variables (temperature at various depths, salinity at various depths and Sea Level Height). The results indicated that the standardized and nominal CPUEs were similar and showed the same trends in spatio temporal distribution. The CPUE increased with year and high CPUE usually occurred in 42°E-60°E, 85°E -90°E, 15°S-5°S and 10°N-15°N. Both the results of GLM and GAM showed that the longitude was the most important variable affecting CPUE, which could explain 17.3% and 23.81% of the deviance,respectively. The effects of latitude, the interaction terms of longitude and latitude, year, temperature at 317 m depth and temperature at 381 m depth on CPUE were also apparent. GLM tended to be more appropriate than GAM in the analysis of CPUE standardization in this study.
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