Annual Variations in Community Structure of Mesozooplankton by Short-term Sampling in Jangmok Harbor of Jinhae Bay

Hwang, Ok-Myung; Shin, Kyoungsoon; Baek, Seung Ho; Lee, Woojin; Kim, Suam; Jang, Moongyu

doi:10.4217/opr.2011.33.3.235

Cited by 8 publications

(4 citation statements)

References 46 publications

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“…The increased abundances of epineuston after the 2012 and 2013 rainy seasons stemmed primarily from the remarkable increases in the numbers of cladocerans (Evadne tergestina and Penilia avirostris). Hwang et al (2011) also found high numbers of cladocerans in Jangmok harbor of Jinhae Bay, corresponding to a similar rainy season period as our study (Fig. 3).…”

Section: Discussionsupporting

confidence: 81%

Potential Threat of Microplastics to Zooplanktivores in the Surface Waters of the Southern Sea of Korea

Kang

Kwon

Shim

2015

Arch Environ Contam Toxicol

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The potential impact of microplastic to zooplanktivores was assessed by measuring a ratio of neustonic microplastics to zooplankton by abundance in the southern sea of Korea. Neustonic microplastics and zooplankton (0.33-2 mm) were collected using a 330-μm mesh Manta trawl in Geoje eastern Bay and Jinhae Bay before and after the rainy season in 2012 and 2013. The mean microplastic to zooplankton ratios were 0.086 (May) and 0.022 (July) in 2012, and 0.016 (June) and 0.004 (July) in 2013, indicating that zooplanktivores could be more likely to feed on microplastics than natural preys before the rainy season in 2012 and 2013. In particular, the relatively high ratio occurred in a semi-enclosed bay characterized by a shipyard and a beach resort in Geoje Bay, and at stations close to a wastewater treatment plant and an aquaculture facility in Jinhae Bay before the rainy season. Among dominant microplastics and zooplankton before the rainy season, meroplankton of macrobenthos could be confused with paint particles in Geoje Bay, 2012, whereas Styrofoam could be mistaken as immature copepods by predators in Jinhae Bay, 2013. These observations suggest that zooplanktivores could be more likely to feed on microplastics than natural preys around Geoje and Jinhae Bays before the rainy season.

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Section: Discussionsupporting

confidence: 81%

Potential Threat of Microplastics to Zooplanktivores in the Surface Waters of the Southern Sea of Korea

Kang

Kwon

Shim

2015

Arch Environ Contam Toxicol

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“…A substantial reduction in salinity was recorded in July within the bay that coincided with increased Nam River discharge derived from heavy rainfall at that time (Water Resources Management Information System WAMIS). This decrease in salinity has also been recorded at Gwangyang Bay (Kwak et al 2012), Jinhae Bay (Hwang et al 2011), and Masan Bay (Kwak and Park 2014). In addition, Nakdong River estuary (Park et al 2015) located at the southern coast of Korea also indicated lowest salinity during the summer season.…”

Section: Discussionsupporting

confidence: 62%

Juvenile fish assemblages in the Jinju Bay region, Korea

Myoung

Kwak²,

Kim

et al. 2020

Fish Aquatic Sci

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Assemblages of juvenile fish and associated abiotic parameters were investigated inside and outside Jinju Bay in southern Korea, on a monthly basis from December 2014 to November 2015. Fluctuations in water temperature and salinity were larger inside than outside the bay. In total, 534,657 individuals per square kilometre from 81 fish species and 47 families were collected during the study period. The most dominant species was Nuchequula nuchalis both inside (25.6%) and outside (26.9%) the bay. The next dominant species were Thryssa kammalensis (17.9%) and Zoarces gillii (16.0%) inside the bay and Liparis tanakae (16.9%) and T. kammalensis (9.0%) outside the bay. Forty species (33% of total number of individuals) of young fish were recorded inside the bay and 47 species (52%) outside the bay. Therefore, it appears that a diversity of fish use nursery grounds inside and outside Jinju Bay. In particular, the following six species appeared: Z. gillii, Pleuronichthys cornutus, L. tanakae, Hemitripterus villosus, Pennahia argentata, and Xenocephalus elongates. Due to assemblage differences for fishes within Jinju Bay and outside the bay, management of both areas is required to maintain current diversity of species in the region.

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“…Despite differences in the diverse environments, the homeostasis in species diversity of zooplankton provides important information for the characteristic analysis of the marine ecosystem, the evolution of the marine organisms and the conservation of the ecosystem (Irigoien et al 2004;Tittensor et al 2010). The zooplankton species diversity considerably varies with changes in the coastal environment and speciesspecific life cycles (Nogueira 2001;Lo et al 2004;Hwang et al 2011;Lee et al 2006). The range and frequency are different for the analysis of spatio-temporal changes in species composition.…”

Section: Introductionmentioning

confidence: 99%

“…The range and frequency are different for the analysis of spatio-temporal changes in species composition. The typical sampling periods range from 4 times (seasonal survey) to 50 times per year within surveyed areas (Moon et al 2010; Lee et al 2006;Lee et al 2012;Hwang et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Optimal Monitoring Frequency Estimation Using Confidence Intervals for the Temporal Model of a Zooplankton Species Number Based on Operational Taxonomic Units at the Tongyoung Marine Science Station

Cho¹,

Kim²,

Jung³

et al. 2017

Ocean and Polar Research

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: Temporal changes in the number of zooplankton species are important information for understanding basic characteristics and species diversity in marine ecosystems. The aim of the present study was to estimate the optimal monitoring frequency (OMF) to guarantee and predict the minimum number of species occurrences for studies concerning marine ecosystems. The OMF is estimated using the temporal number of zooplankton species through bi-weekly monitoring of zooplankton species data according to operational taxonomic units in the Tongyoung coastal sea. The optimal model comprises two terms, a constant (optimal mean) and a cosine function with a one-year period. The confidence interval (CI) range of the model with monitoring frequency was estimated using a bootstrap method. The CI range was used as a reference to estimate the optimal monitoring frequency. In general, the minimum monitoring frequency (numbers per year) directly depends on the target (acceptable) estimation error. When the acceptable error (range of the CI) increases, the monitoring frequency decreases because the large acceptable error signals a rough estimation. If the acceptable error (unit: number value) of the number of the zooplankton species is set to 3, the minimum monitoring frequency (times per year) is 24. The residual distribution of the model followed a normal distribution. This model can be applied for the estimation of the minimal monitoring frequency that satisfies the target error bounds, as this model provides an estimation of the error of the zooplankton species numbers with monitoring frequencies.

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Annual Variations in Community Structure of Mesozooplankton by Short-term Sampling in Jangmok Harbor of Jinhae Bay

Cited by 8 publications

References 46 publications

Potential Threat of Microplastics to Zooplanktivores in the Surface Waters of the Southern Sea of Korea

Potential Threat of Microplastics to Zooplanktivores in the Surface Waters of the Southern Sea of Korea

Juvenile fish assemblages in the Jinju Bay region, Korea

Optimal Monitoring Frequency Estimation Using Confidence Intervals for the Temporal Model of a Zooplankton Species Number Based on Operational Taxonomic Units at the Tongyoung Marine Science Station

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