Study on the habitat suitability of <i>Trachypenaeus curvirostris</i> in the Haizhou Bay

Chen Yixuan; Zhang Yunlei; Huang Nuoyan; Guo Jia; Chen Wan; Ren Yiping; Xue Ying

doi:10.12284/hyxb2021044

Volume 43 Issue 4

Apr. 2021

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Chen Yixuan，Zhang Yunlei，Huang Nuoyan, et al. Study on the habitat suitability of Trachypenaeus curvirostris in the Haizhou Bay[J]. Haiyang Xuebao，2021, 43(4)：84–95 doi: 10.12284/hyxb2021044

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Chen Yixuan，Zhang Yunlei，Huang Nuoyan, et al. Study on the habitat suitability of Trachypenaeus curvirostris in the Haizhou Bay[J]. Haiyang Xuebao，2021, 43(4)：84–95 doi: 10.12284/hyxb2021044

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Study on the habitat suitability of Trachypenaeus curvirostris in the Haizhou Bay

doi: 10.12284/hyxb2021044

Chen Yixuan^1
,,
Zhang Yunlei¹,
Huang Nuoyan¹,
Guo Jia¹,
Chen Wan¹,
Ren Yiping^{1, 2, 3},
Xue Ying^{1, 3
,
,}

1.
Fisheries College, Ocean University of China, Qingdao 266003, China
2.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
3.
Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao 266003, China

Received Date: 2020-03-30
Rev Recd Date: 2020-11-30

Available Online: 2021-03-09

Publish Date: 2021-04-01

Abstract

Abstract

Based on the bottom-trawl survey data collected from the Haizhou Bay in spring and autumn of 2011 and 2013−2017, the habitat suitability of Trachypenaeus curvirostris was analyzed based on environmental factors such as bottom temperature, bottom salinity and water depth. Generalized additive model (GAM) was used to determine the optimal combination of environmental factors. Boosted regression tree (BRT) was used to evaluate the weight of each environmental factor in the habitat suitability index (HSI) model. The arithmetic mean model (AMM) and geometic mean model (GMM) were used to build HSI model, and the best model was selected by cross validations. Results showed that HSI model built with depth and bottom salinity in spring had the minimum AIC value, while HSI model constructed with bottom temperature and bottom salinity in autumn had the minimum AIC value. BRT model showed that the weight of depth and bottom salinity were 76.23% and 23.77% in spring, and the weight of bottom temperature and bottom salinity were 82.56% and 17.44% in autumn. The optimal range of depth and bottom salinity for T. curvirostris in spring were within 24 m and 29.7−31.8, respectively. In autumn, the optimal range of bottom temperature and bottom salinity were 18−24℃ and 29.2−31.5, respectively. This study suggested that the optimization of environmental factors was proved to be able to improve the performance of HSI models.
- optimization of environmental factors,
- habitat suitability index (HSI),
- Trachypenaeus curvirostris,
- generalized additive model,
- boosted regression tree

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References(53)

References

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