Seasonal Variation of Zooplankton Communities in the Southern Coastal Waters of Korea

Moon, Seong-Yong; Oh, Hyun-Ju; Soh, Ho-Young

doi:10.4217/opr.2010.32.4.411

Cited by 31 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2 ; Table S4 ). This seasonal pattern was similar to previous observations of the zooplankton community in the Busan Bay and the southern coast of Korea 24 , 25 . In addition, the seasonal pattern is thought to have a relatively higher correlation with water temperature than salinity 30 .…”

Section: Discussionsupporting

confidence: 91%

“…3 and S4). In previous studies, copepods were most dominant in the zooplankton communities in the coastal regions, followed by branchiopods or Cirripedia larvae, depending on the season or environment 24 , 25 , 31 .…”

Section: Discussionmentioning

confidence: 80%

“…S5). Seasonal pattern was analyzed by dividing into three main mesozooplankton groups 4 , 24 ; copepods (average of 47%), meroplankton (43%), and non-copepod holoplankton (10%) (Fig. S6).…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis

Song

Choi

Jeon

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Marine ecosystems in urban coastal areas are exposed to many risks due to human activity. Thus, long-term and continuous monitoring of zooplankton diversity is necessary. High-throughput DNA metabarcoding has gained recognition as an efficient and highly sensitive approach to accurately describing the species diversity of marine zooplankton assemblages. In this study, we collected 30 zooplankton samples at about 2-week intervals for 1 year. Zooplankton diversity showing a typical four season pattern. Of the “total” and “common” zooplankton, we assigned 267 and 64 taxa. The cluster structure and seasonal diversity pattern were rough when only the “common” zooplankton was used. Our study examined how to maximize the benefits of metabarcoding for monitoring zooplankton diversity in urban coastal areas. The results suggest that to take full advantage of metabarcoding when monitoring a zooplankton community, it is necessary to carefully investigate potential ecosystem threats (non-indigenous species) through sufficient curation rather than disregarding low-abundance operational taxonomic units.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 80%

See 1 more Smart Citation

Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis

Song

Choi

Jeon

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The uncertainty level should be low for the accurate analysis of an ecosystem using the number of species and species composition data for zooplankton. The species numbers and diversity indices have been suggested as the basic statistics for the analysis of the diverse ecological research fields on zooplankton (Lee et al 2006;Moon et al 2010;Lee et al 2012). However, it is difficult to directly compare these values.…”

Section: Discussionmentioning

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

View full text Add to dashboard Cite

: 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.

show abstract

Egg production rate of the copepod Calanus sinicus off the Korean coast of the Yellow Sea during spring

Kang¹,

Lee

Choi³

2011

Ocean Sci. J.

View full text Add to dashboard Cite

The egg production rate (EPR) of Calanus sinicus was measured from March 2007 to April 2010 at three stations along the Korean coast of the Yellow Sea (in coastal waters off Saemangum, Yeongheungdo, and Asan Bay) to estimate in situ maximum egg production rate (MEPR) and to understand whether the females were limited in their growth or fecundity in the field. The mean EPR of C. sinicus at each sampling date ranged from 10.3-34.9 eggs female -1 d -1 (mean 23.4 eggs female -1 d -1 ), and the EPR of individual copepods ranged from 0-81 eggs female -1 d -1 . The mean EPR was positively correlated with the body weight of female copepods. The MEPR at each sampling date ranged from 40-81 eggs female -1 d -1 (mean 50.4 eggs female -1 d -1 ). Over 84% of eggs spawned hatched successfully. The weight-specific growth rate (WSGR) ranged from 0.038-0.111 d -1 (mean 0.082 d -1 ), indicating that 3.8-11.1% of the carbon in an adult female was produced daily as female growth. The WSGR was negatively correlated with water temperature. The ratio of mean EPR to observed mean MEPR ranged from 20-70% (mean 46%), indicating that 54% of a female's growth might be limited in the field. We suggest that the ratio of observed EPR to mean MEPR of copepod can be applied to understand how the copepod responds to environmental changes, as well as EPR and hatching success.

show abstract

Seasonal Variation of Zooplankton Communities in the Southern Coastal Waters of Korea

Cited by 31 publications

References 17 publications

Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis

Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis

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

Egg production rate of the copepod Calanus sinicus off the Korean coast of the Yellow Sea during spring

Contact Info

Product

Resources

About