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The impact of spatial autocorrelation on CPUE standardization between two different fisheries

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Abstract

Catch per unit of effort (CPUE) data can display spatial autocorrelation. However, most of the CPUE standardization methods developed so far assumes independency of observations for the dependent variable, which is often invalid. In this study, we collected data of two fisheries, squid jigging fishery and mackerel trawl fishery. We used standard generalized linear model (GLM) and spatial GLMs to compare the impact of spatial autocorrelation on CPUE standardization for different fisheries. We found that spatial- GLMs perform better than standard-GLM for both fisheries. The overestimation of precision of CPUE estimates was observed in both fisheries. Moran’s I was used to quantify the level of autocorrelation for the two fisheries. The results show that autocorrelation in mackerel trawl fishery was much stronger than that in squid jigging fishery. According to the results of this paper, we highly recommend to account for spatial autocorrelation when using GLM to standardize CPUE data derived from commercial fisheries.

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Acknowledgement

We thank Chinese Oversea Fishery Association (COFA) and NOAA for providing data. We are grateful of CHANG Yongbo in College of Marine Sciences Shanghai Ocean University who has spent much time working in a mackerel trawl vessel and provides the information about the fishery. We also thank the Chinese Distant-water Squid Jigging Technical Group for providing fishery data and information.

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Authors and Affiliations

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

    Luoliang Xu  (许骆良), Xinjun Chen  (陈新军), Wenjiang Guan  (官文江), Siquan Tian  (田思泉) & Yong Chen  (陈勇)

  2. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources (Shanghai Ocean University), Ministry of Education, Shanghai, 201306, China

    Luoliang Xu  (许骆良), Xinjun Chen  (陈新军), Wenjiang Guan  (官文江) & Siquan Tian  (田思泉)

  3. National Engineering Research Center for oceanic Fisheries, Shanghai Ocean University, Shanghai, 201306, China

    Luoliang Xu  (许骆良), Xinjun Chen  (陈新军), Wenjiang Guan  (官文江) & Siquan Tian  (田思泉)

  4. School of Marine Sciences, University of Maine, Orono, ME, 04469, USA

    Yong Chen  (陈勇)

Authors
  1. Luoliang Xu  (许骆良)
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  2. Xinjun Chen  (陈新军)
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  3. Wenjiang Guan  (官文江)
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  4. Siquan Tian  (田思泉)
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  5. Yong Chen  (陈勇)
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Corresponding author

Correspondence to Xinjun Chen  (陈新军).

Additional information

Supported by the National High Technology Research and Development Program of China (863 Program) (No. 2012AA092303), the Public Science and Technology Research Funds Projects of Ocean (No. 20155014), the Shanghai Leading Academic Discipline Project, the Funding Program for Outstanding Dissertation in Shanghai Ocean University, and Y. Chen was supported by SHOU International Center for Marine Studies and Shanghai 1000 Talent Program

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Xu, L., Chen, X., Guan, W. et al. The impact of spatial autocorrelation on CPUE standardization between two different fisheries. J. Ocean. Limnol. 36, 973–980 (2018). https://doi.org/10.1007/s00343-018-6294-7

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  • DOI: https://doi.org/10.1007/s00343-018-6294-7

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