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Guan Lisha, Shan Xiujuan, Jin Xianshi, Chen Yunlong, Yang Tao, Wu Qiang. The effects of diel vertical movements on the catchability of small yellow croaker in the middle and south Yellow Sea[J]. Haiyang Xuebao, 2018, 40(2): 53-60. doi: 10.3969/j.issn.0253-4193.2018.02.005
Citation: Guan Lisha, Shan Xiujuan, Jin Xianshi, Chen Yunlong, Yang Tao, Wu Qiang. The effects of diel vertical movements on the catchability of small yellow croaker in the middle and south Yellow Sea[J]. Haiyang Xuebao, 2018, 40(2): 53-60. doi: 10.3969/j.issn.0253-4193.2018.02.005

The effects of diel vertical movements on the catchability of small yellow croaker in the middle and south Yellow Sea

doi: 10.3969/j.issn.0253-4193.2018.02.005
  • Received Date: 2017-07-21
  • Many fish show diel vertical movements (DVM), which is a key factor affecting the catchability of most fisheries-dependent or fisheries-independent surveys. Calibrations of abundance indices (AI) from these surveys to maintain a consistent catchability is important for improving estimates of species distribution and abundance. However, such calibrations rarely account for DVM. Here, a geostatistical delta-generalized linear mixed model (GLMM) was fitted to the fall bottom trawl survey data for small yellow croaker in the Yellow Sea during the period of 2006-2011 as a case study. The model quantified the effects of diel periods on AI, which demonstrates the time-variant effects of diel vertical movements on the catchability of the bottom trawl surveys for small yellow croaker. The surveys have lowest catchability for small yellow croaker at midnight. With the coming of daytime, the catchability appears to increase until reaching the peak values at 9:00 am. Subsequently, there is a decreasing trend in catchability till 7:00 pm. The catchability then maintains at low levels before midnight. This study eliminated the effects of diel periods on AI and predicted the spatial distributions of small yellow croaker in the middle and south Yellow Sea during the falls of 2006-2011. The predicted distributions match with spatial distributions of AI data and fishing grounds for small yellow croaker. Moreover, this study yields more precise estimates of total abundance indices for small yellow croaker in the falls of 2006-2009, which follows the temporal trend in the catch data of this species from two provinces (i.e. Shandong and Jiangsu) along the middle and south Yellow Sea in the subsequent years.
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