| Literature DB >> 29920534 |
Min Xu1,2,3,4, Shuji Sasa3, Teruhisa Komatsu3.
Abstract
Sargassum horneri C. Agardh is an important commercial edible seaweed species in east Asia. Benthic beds and floating rafts in coastal areas make excellent habitats for marine organisms to feed, hide, and spawn. Many commercially important fish species such as Japanese anchovy (Engraulis japonicus), yellowtail (Seriola quinqueradiata), and Japanese horse mackerel (Trachurus japonicus) live in seaweed beds. Chinese and Japanese fisherman rely on S. horneri beds as productive fish harvest areas. The Zhejiang government in China set a total allowable catch standard, to preserve the Ma'an Islands ecosystem, which is a marine protected area. In this study we analysed the association between weight and one-sided surface area of S. horneri beds, and calculated the ratio of one-sided surface area to change in wet weight over time. We collected samples from December 2014 to May 2015. Approximately 1 g of S. horneri biomass provided ~15 cm2 of one-sided surface area available to marine organisms. These calculations can be used as a reference regarding potential space to improve total allowable catch standard management in S. horneri beds, through the estimation of space capacity of seaweed beds.Entities:
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Year: 2018 PMID: 29920534 PMCID: PMC6007897 DOI: 10.1371/journal.pone.0199103
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Log plot of wet weight (W) (g) versus one-sided surface area (S) (m2) from December 2014 to May 2015.
Solid lines are regression fits. Correlations in December 2014 (S = 12.818 × W, r2 = 0.91, p < 0.001), January 2015 (S = 11.543 × W, r2 = 0.98, p < 0.001), February 2015 (S = 16.215 × W, r2 = 0.67, p < 0.001), March 2015 (S = 12.62 × W, r2 = 0.64, p < 0.001), April 2015 (S = 16.05 × W, r2 = 0.96, p < 0.001) and May 2015 (S = 7.1355 × W, r2 = 0.97, p < 0.001).
Fig 2Monthly variations in the ratio (cm2 g−1) of one-sided surface area (cm2) to wet weight (g) from December 2014 to May 2015.
Values are means ± standard deviations.