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Modeling Monthly Spatial Distribution of Ommastrephes bartramii CPUE in the Northwest Pacific and Its Spatially Nonstationary Relationships with the Marine Environment

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Abstract

There are substantial spatial variations in the relationships between catch-per-unit-effort (CPUE) and oceanographic conditions with respect to pelagic species. This study examines the monthly spatiotemporal distribution of CPUE of the neon flying squid, Ommastrephes bartramii, in the Northwest Pacific from July to November during 2004–2013, and analyzes the relationships with oceanographic conditions using a generalized additive model (GAM) and geographically weighted regression (GWR) model. The results show that most of the squids were harvested in waters with sea surface temperature (SST) between 7.6 and 24.6°C, chlorophyll-a (Chl-a) concentration below 1.0 mg m−3, sea surface salinity (SSS) between 32.7 and 34.6, and sea surface height (SSH) between −12.8 and 28.4 cm. The monthly spatial distribution patterns of O. bartramii predicted using GAM and GWR models are similar to observed patterns for all months. There are notable variations in the local coefficients of GWR, indicating the presence of spatial non-stationarity in the relationship between O. bartramii CPUE and oceanographic conditions. The statistical results show that there were nearly equal positive and negative coefficients for Chl-a, more positive than negative coefficients for SST, and more negative than positive coefficients for SSS and SSH. The overall accuracies of the hot spots predicted by GWR exceed 60% (except for October), indicating a good performance of this model and its improvement over GAM. Our study provides a better understanding of the ecological dynamics of O. bartramii CPUE and makes it possible to use GWR to study the spatially nonstationary characteristics of other pelagic species.

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Acknowledgements

This study was financially supported by the National Natural Science Foundation of China (No. 41406146) and Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, China (No. 2017-1A02).

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Authors and Affiliations

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

    Yongjiu Feng, Yang Liu & Xinjun Chen

  2. Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266235, China

    Yongjiu Feng

  3. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Shanghai Ocean University, Shanghai, 201306, China

    Yongjiu Feng & Xinjun Chen

  4. National Distant-Water Fisheries Engineering Research Center, Shanghai Ocean University, Shanghai, 201306, China

    Yongjiu Feng & Xinjun Chen

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  1. Yongjiu Feng
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Correspondence to Xinjun Chen.

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Feng, Y., Liu, Y. & Chen, X. Modeling Monthly Spatial Distribution of Ommastrephes bartramii CPUE in the Northwest Pacific and Its Spatially Nonstationary Relationships with the Marine Environment. J. Ocean Univ. China 17, 647–658 (2018). https://doi.org/10.1007/s11802-018-3495-9

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  • DOI: https://doi.org/10.1007/s11802-018-3495-9

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