2020
DOI: 10.1016/j.jmarsys.2019.103243
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Daily growth of young-of-the-year largehead hairtail (Trichiurus japonicus) in relation to environmental variables in the East China Sea

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Cited by 24 publications
(26 citation statements)
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“…Our results suggested that adult and juvenile largehead hairtail inhabited a similar thermal niche, but juveniles that occupied nursery grounds were restricted to these habitats because of narrower physiological thermal tolerance compared to tolerances of adults. Sun et al (2020b) studied daily growth of young-ofthe-year largehead hairtail by otolith microstructure analysis, suggested that daily growth of juvenile largehead hairtail was influenced by the interactive effects of water temperature and nutrient supplies. For the October-spawned and Novemberspawned cohort, otolith daily increment showed maximum growth at temperatures 18 and 21 • C, respectively, which were approximate optimal temperature in the nursery areas of our present study.…”
Section: Discussionmentioning
confidence: 99%
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“…Our results suggested that adult and juvenile largehead hairtail inhabited a similar thermal niche, but juveniles that occupied nursery grounds were restricted to these habitats because of narrower physiological thermal tolerance compared to tolerances of adults. Sun et al (2020b) studied daily growth of young-ofthe-year largehead hairtail by otolith microstructure analysis, suggested that daily growth of juvenile largehead hairtail was influenced by the interactive effects of water temperature and nutrient supplies. For the October-spawned and Novemberspawned cohort, otolith daily increment showed maximum growth at temperatures 18 and 21 • C, respectively, which were approximate optimal temperature in the nursery areas of our present study.…”
Section: Discussionmentioning
confidence: 99%
“…The CMEMS was used to act as our data for modeling because CMEMS assimilates a number of observation data sources, and previous findings indicated that the data assimilation technique can produce a reliable dataset (Edwards et al, 2015;Martin et al, 2015). Indeed, numerous studies employed the CMEMS to evaluate their observational data or produced ocean model in ECS and South China Sea (Lin et al, 2017;Lee et al, 2020;Sun et al, 2020b;Kok et al, 2021;Wu et al, 2021). Three topographic variables and six oceanographic variables were extracted for each position and date of the survey dataset, all variables were downscaled using a bilinear interpolation to match our fisheries data.…”
Section: Environmental Datamentioning
confidence: 99%
“…Our previous study shows that the accumulated otolith daily increments are significantly linearly correlated with pre‐anal length (Sun et al., 2020), suggesting that otolith daily increments width of the YoY largehead hairtail represent well the individual somatic growth. In this study, we used generalized additive mixed models (GAMM, Lin & Zhang, 1999; Rupert, Wand, & Carroll, 2003; Wood, 2019; Zuur, Ieno, Walker, Saveliev, & Smith, 2009) to relate daily increment with factors that influence the growth pattern of specimens.…”
Section: Methodsmentioning
confidence: 87%
“…A previous study about early growth of largehead hairtail based on otolith microstructure analysis has already confirmed that largehead hairtail spawn almost year‐round, with two dominant spawning periods in the East China Sea (Sun et al., 2020). Here, we extend that study by including two more sampling regions (Bohai Sea and Yellow Sea) as well as further samples from the East China Sea.…”
Section: Introductionmentioning
confidence: 79%
“…Hairtail ( Trichiurus haumela ), belongs to the order of Perciformes, family of Trichiuridaeis , is one of the most economically and ecologically important fish species in the Yellow Sea and East China Sea (Sun, Chen, & Fu, 2020; Yong, Cheng, & Chen, 2009; X. Zhao, 2006), as well as southern seas of Korea (Hwang, Yoon, Kang, Cha, & Lee, 2017). In recent years, hairtail becomes more and more popular in Asia with its abundant fish stocks due to its delicious taste and peculiarly nutritional benefits (Chakraborty, Aranishi, & Iwatsuki, 2010; Luan, Sun, Chen, Wu, & Hu, 2018; Luan, Wang, & Hu, 2018).…”
Section: Introductionmentioning
confidence: 99%