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Standardizing CPUE of yellowfin tuna (Thunnus albacares) longline fishery in the tropical waters of the northwestern Indian Ocean using a deterministic habitat-based model

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Abstract

Data collected from a longline fishery in the Indian Ocean were used to evaluate the performance of a deterministic habitat-based standardization (detHBS) method for catch per unit effort (CPUE) standardization. The habitat preference indices of the yellowfin tuna (Thunnus albacares) were estimated for different depth, temperature, and dissolved oxygen (DO) classes. The detHBS was applied for standardizing the yellowfin tuna CPUE based on the habitat preference indices of the yellowfin tuna. Nominal CPUE and normalized nominal CPUE were compared with the standardized CPUE and normalized standardized CPUE, respectively, using Wilcoxon tests. The results showed that (1) there was significant difference between nominal CPUE and standardized CPUEs (p < 0.01); (2) there was no significant difference between normalized nominal CPUE and normalized standardized CPUEs estimated using the data set of depth, temperature, and DO (p > 0.01). This study suggests that detHBS effectively improved the precision of CPUE standardization, and the depth data set was the optimum data set in standardizing CPUE.

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Acknowledgments

The project is funded by Ministry of Agriculture of P.R of China under Project of Fishery Exploration in High Seas in 2005 (Project No.Z05-30), Shanghai Leading Academic Discipline Project (Project No. S30702), the National High Technology Research and Development Program of China (Project No. 2007AA092202), and the Initiation Fund for Doctors of Shanghai Ocean University (Project No. B-8202-08-0290). We thank the general manager Fang Jingmin, vice general manager Huang Fuxiong, and the crews of the tuna longliners, of Guangyuang Fishery Group of Guangdong province for supporting this project. Thanks also go to Professor Yong Chen of the University of Maine for reviewing the manuscript and Dr. Xinfeng Zhang of Shanghai Ocean University for his technical support. Moreover, we thank the two referees and the editor for their valuable comments and suggestions.

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  1. The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, College of Marine Sciences, Shanghai Ocean University, 999 Huchenghuan Road, Lingangxincheng, Shanghai, 201306, China

    L. M. Song

  2. College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China

    L. M. Song & Y. P. Wu

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  1. L. M. Song
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Song, L.M., Wu, Y.P. Standardizing CPUE of yellowfin tuna (Thunnus albacares) longline fishery in the tropical waters of the northwestern Indian Ocean using a deterministic habitat-based model. J Oceanogr 67, 541–550 (2011). https://doi.org/10.1007/s10872-011-0055-y

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