Effect of environmental factors on CPUE of shrimp trawls along the west coast of Madagascar based on Bayesian networks

Hu Xue; Zhang Honglin; Zhao Jin; Luo Jiawang; Song Houcheng; Zhang Jian; Tang Hao; Shi Jiangao

doi:10.12284/hyxb2025070

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Hu Xue，Zhang Honglin，Zhao Jin, et al. Effect of environmental factors on CPUE of shrimp trawls along the west coast of Madagascar based on Bayesian networks[J]. Haiyang Xuebao，2025, 47(7)：1–11 doi: 10.12284/hyxb2025070

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Effect of environmental factors on CPUE of shrimp trawls along the west coast of Madagascar based on Bayesian networks

doi: 10.12284/hyxb2025070

Hu Xue^1
,,
Zhang Honglin¹,
Zhao Jin²,
Luo Jiawang¹,
Song Houcheng¹,
Zhang Jian^{1, 3, 4
,
,},
Tang Hao^{1, 3, 4},
Shi Jiangao⁵

1.
College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai 201306, China
2.
Representative Office in Madagascar, Zhongyu Global Seafood Corp., Guangdong, Shenzhen 515100, China
3.
National Engineering Research Centre for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
4.
Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
5.
East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China

Received Date: 2024-11-22
Rev Recd Date: 2025-03-13

Available Online: 2025-04-23

Abstract

Abstract

Investigating the relationship between fishery resources and environmental factors, along with understanding species distribution response mechanisms to environmental changes, provides fundamental insights for fisheries conservation and sustainable management. While both resource abundance and species distribution are influenced by multiple environmental factors, existing research has primarily emphasized direct environmental effects, with insufficient attention to inter-factor interactions. This study examines the mechanisms through which diverse environmental factors affect shrimp resources along Madagascar's western coast, utilizing shrimp trawl fishery data (2014−2020) and Bayesian network analysis to investigate relationships between precipitation, runoff, marine environmental factors, and catch per unit effort (CPUE) of three key shrimp species. Our analysis identified critical drivers of CPUE variation under combined environmental influences. Results demonstrated that precipitation, runoff, sea surface height anomaly (SSHA), and sea surface temperature (SST) predominantly influenced Fenneropenaeus indicus CPUE. For Metapenaeus monoceros and Penaeus semisulcatus, runoff, SSHA, SST, and chlorophylla concentration (Chla) constituted primary controlling factors. Precipitation exerted indirect effects on all species' CPUE through environmental mediators: impacting F. indicus via runoff-SST-SSHA pathways, while influencing M. monoceros and P. semisulcatus through runoff-SST-SSHA-Chla interactions. These findings clarify both direct effects of precipitation and marine environmental factors on shrimp CPUE, and reveal cascading indirect impacts where precipitation modulates population dynamics through environmental intermediaries, elucidating pathway mechanisms underlying these ecological relationships.
- bayesian networks,
- environmental factors,
- shrimp,
- CPUE,
- precipitation,
- runoff

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References(49)

References

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