Dong-Kyun Kim

Dr. Dong-Kyun Kim

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2019 in Ecological Modelling
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Journal Article
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HKHyo Gyeom Kim
Hyo Gyeom Kim
SHSungwon Hong
Sungwon Hong
KJKwang-Seuk Jeong
Kwang-Seuk Jeong
Dong-Kyun KimDong-Kyun Kim
Dong-Kyun Kim
GJGea-Jae Joo
Gea-Jae Joo

1 September 2020 in Science of The Total Environment
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Journal Article
Closed access
HKHyo Gyeom Kim
Hyo Gyeom Kim
SHSungwon Hong
Sungwon Hong
Dong-Kyun KimDong-Kyun Kim
Dong-Kyun Kim
GJGea-Jae Joo
Gea-Jae Joo

9 August 2019 in Applied Sciences
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Dong-Kyun KimDong-Kyun Kim
Dong-Kyun Kim
KPKiyun Park
Kiyun Park
Hyunbin JoHyunbin Jo
Hyunbin Jo
IKIhn-Sil Kwak
Ihn-Sil Kwak
Our study focuses on methodological comparison of plankton community composition in relation to ecological monitoring and assessment with data sampling. Recently, along with the advancement of monitoring techniques, metabarcoding has been widely used in the context of environmental DNA (eDNA). We examine the applicability of eDNA metabarcoding for effective monitoring and assessment of community composition, compared with conventional observation using microscopic identification in a coastal ecosystem, Gwangynag Bay in South Korea. Our analysis is based primarily on two surveys at a total of 15 study sites in early and late summer (June and September) of the year 2018. The results of our study demonstrate the similarity and dissimilarity of biological communities in composition, richness and diversity between eDNA metabarcoding and conventional microscopic identification. It is found that, overall, eDNA metabarcoding appears to provide a wider variety of species composition, while conventional microscopic identification depicts more distinct plankton communities in sites. Finally, we suggest that eDNA metabarcoding is a practically useful method and can be potentially considered as a valuable alternative for biological monitoring and diversity assessments.

1 September 2019 in Ecological Informatics
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Journal Article
Open access
GAGeorge Arhonditsis
George Arhonditsis
Alex NeumannAlex Neumann
Alex Neumann
YSYuko Shimoda
Yuko Shimoda
Dong-Kyun KimDong-Kyun Kim
Dong-Kyun Kim
Feifei DongFeifei Dong
Feifei Dong
VCVincent Cheng
Vincent Cheng

1 July 2011 in KSCE Journal of Civil Engineering
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Journal Article
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KJKwang-Seuk Jeong
Kwang-Seuk Jeong
Dong-Kyun KimDong-Kyun Kim
Dong-Kyun Kim
HSHyunsuk Shin
Hyunsuk Shin
JYJu-Duk Yoon
Ju-Duk Yoon
HKHyun-Woo Kim
Hyun-Woo Kim
GJGea-Jae Joo
Gea-Jae Joo
In this study, the relationship between hydrological characteristics and phytoplankton biomass (chlorophyll a concentration) was explored using long-term hydrological and limnological data (1994–2007) in a flow-regulated river system (the lower Nakdong River, South Korea). This river has four multi-purpose dams and an estuarine barrage, and river flow is extensively controlled. Dynamics of chlorophyll a concentration responded well to changes in hydrology, such as rainfall, dam discharge and river flow. The hydrological characteristics strongly affected the decrease of chlorophyll a concentration in summer to winter but not in spring (p<0.05; n=42). An application of Self-Organizing Map (SOM) model to the database returned three clusters, and strong seasonality in water quality as well as hydrological characteristics was identified. Long-term rainfall data exhibited no statistical tendencies of increase or decrease, with respect to total annual rainfall. In comparison, summer rainfall increased while that of winter (December to the following February) decreased. Summer rainfall affected total dam discharges in all seasons in a positive manner (p<0.05; n=14), corresponding to winter water quality of the lower Nakdong River likely to be dependent largely upon changes in summer rainfall. Therefore, the development of an effective management strategy for summer rainfall and dam discharge control is strongly required.