CPUE Standardization and Socioeconomic Influences on Red Snow Crab (Chionoecetes japonicus) Fisheries in Korean Waters
The standardization of catch per unit effort (CPUE) is essential for accurate stock assessment in fisheries management. This study focuses on CPUE standardization for red snow crab (Chionoecetes japonicus) in South Korea, incorporating both spatiotemporal and socioeconomic factors into a generalized additive model (GAM) framework. Using fishery-dependent data from 2009 to 2023, we analyzed the influence of variables such as the proportion of live catch, oil prices, global export prices, and the COVID-19 pandemic on CPUE trends. To quantify the contribution of each variable, a stepwise exclusion analysis was conducted. The results show that excluding socioeconomic variables leads to a more stable CPUE trajectory, indicating that nominal CPUE fluctuations are partially driven by economic conditions rather than changes in biological abundance. These findings highlight the importance of accounting for external drivers, particularly socioeconomic factors when standardizing CPUE. By doing so, the year effect extracted from the model can more accurately reflect relative stock abundance. The approach presented here offers a practical solution for improving CPUE estimates in data-limited fisheries and supports adaptive, evidence-based fisheries management.
Authors
- Heejoong Kang (ORCID: https://orcid.org/0000-0002-6210-605X)
- Sang Chul Yoon (ORCID: https://orcid.org/0009-0006-4360-0593)
- Hyun Woo Kim (ORCID: https://orcid.org/0000-0002-3587-3122)
- Ji-Hoon Choi (ORCID: https://orcid.org/0000-0003-4645-3454)
- Moo-Jin Kim (ORCID: https://orcid.org/0000-0002-5555-3708)
Institutions
- National Institute of Fisheries Science (KR)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2025-04-02
- DOI
- https://doi.org/10.3390/jmse13040711
- Citations
- 1
- Primary Topic
- Crustacean biology and ecology
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- National Institute of Fisheries Science