基于分位数回归的库克群岛海域长鳍金枪鱼栖息环境综合指数
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1. 农业部东海与远洋渔业资源开发利用重点实验室, 上海 200090;

作者简介:

杨嘉樑(1988–), 男, 研究实习员, 硕士, 主要从事远洋渔业研究. E-mail: yangjl@eastfishery.ac.cn 通信作者: 宋利明, 教授. E-mail: lmsong@shou.edu.cn

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S95

基金项目:

国家高技术研究发展计划项目(2012AA092302); 农业部远洋渔业探捕项目(D8006128005); 上海市教育委员会科研创新项目(12ZZ168); 高等学校博士学科点专项科研基金联合项目(20113104110004).


An integrated habitat index for albacore tuna (Thunnus alalunga) in the waters near the Cook Islands based on the quantile regression method
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1. Key Laboratory of East China Sea and Oceanic Fishery Resources Exploitation, Ministry of Agriculture, Shang-hai 200090, China;

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    摘要:

    2012以及测得的温度、盐度、叶绿素浓度、水平海流及垂直海流数据等环境因子数据个站点内随机选择的验证站点对不同水层的研究结果进行了验证。研究结果表明单位捕捞努力量渔获量模型

    Abstract:

    We developed an “Integrated Habitat Index (IHI)” model based on the quantile regression method using survey data collected at 43 sites in waters near the Cook Islands from September, 2012 through November, 2012. The model variables included vertical profile data for temperature, salinity, chlorophyll-, horizontal current, vertical current and catch per unit effort (CPUE) of albacore tuna(), and the interactions among these variables. Models were developed for five 40 m water strata between 40 m and 240 m and the entire water column to predict the spatial distribution of albacore tuna. The environmental variables measured at modeling sites were used as inputs to the IHI models to predict the IHI value of the 5 strata and the entire water column. We tested for a significant difference between the observed CPUE and predicted CPUE within the 5 water strata and the entire water column using a Wilcoxon test. The Spearman correlation coefficients were assumed to indicate the predictive power of the IHI model. The trend line of the arithmetic average about the predicted IHI for the 5 strata was compared with the CPUEs at the specific depth stratum. The environmental variables at validation sites were used to validate the model’s predictive power. These data were input into the CPUE models to predict the CPUE of the 5 water strata and the entire water column. We used a Wilcoxon test to compare between the predicted and observed CPUEs within the 5 water strata and the entire water column to validate the IHI results. The CPUE for albacore tuna in the 5 strata and the entire water column exhibited a skewed normal distribution with a longer left tail. There was no significant difference between the nominal CPUEs and predictive CPUEs of albacore in the 5 water strata and the entire water column at the modelling sites or the validation sites. The IHI models had good predictive power, and were able to accurately predict the distribution of albacore tuna in the 40 strata and in the entire water column. The key environmental parameters in the IHI models differed among the depth strata. In the shallow water (40), there was a close relationship between the CPUE and water color. Conversely, water temperature, sea currents, and bait and water temperature were the most significant variables in the 80, and generally between 160 and 200 m. The CPUE was 20.31 ind/(1000 hooks) in this water strata. The IHIs for albacore tuna in the area between 13°S167°W were relatively high. When fishing in these areas, our results suggest that fishing gear should be deployed at a depth of 160

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杨嘉樑,黄洪亮,宋利明,饶欣,吴越,齐广瑞.基于分位数回归的库克群岛海域长鳍金枪鱼栖息环境综合指数[J].中国水产科学,2014,21(4):832-852
YANG Jialiang, HUANG Hongliang, SONG Liming, RAO Xin, WU Yue, QI Guangrui. An integrated habitat index for albacore tuna (Thunnus alalunga) in the waters near the Cook Islands based on the quantile regression method[J]. Journal of Fishery Sciences of China,2014,21(4):832-852

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  • 在线发布日期: 2015-08-03
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