• Korean Journal of Ecology and Environment
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• v.55 no.4
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• pp.259-273
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• 2022

Interactions between species in a community are very complex, and they are visualized and analyzed through a food web in simple way. Food web is a network of species connected by trophic links showing energy flow from prey to predator. Various models were developed to characterize the food web in ecosystems. In this study, we classified food web models to static models such as Ecopath and dynamic models such as AQUATOX. We presented characteristics of several different types of food web models in each category, and reviewed their applications used in aquatic ecosystems. Finally, we presented issues to be considered to develop food web models.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.5
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• pp.493-505
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• 2020

Food web structures in the lower trophic levels of the seas around the Korean peninsula were investigated in August 2019 using stable isotopes. There were variable ratios of the carbon (-26.18 ~ -20.61 ‰) and nitrogen stable (5.36 ~ 15.20 ‰) isotopes in the particulate organic matter (POM). Most of the organisms ingested micro-POM as a major food source, but this varied spatially. The chaetognaths (3.40 ± 0.61) occupied the highest trophic level. The isotope mixing model showed that the proportions (13 ~ 51 %) of some organisms (i.e., copepods and euphausiids) reflected the relative contributions as major food sources for chaetognaths at each site.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.10a
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• pp.146-147
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• 2000

해양에서 입자유기물질은 생태계 내 먹이망의 중요한 요소로서 작용한다. 입자유기 물질이 생태계 내 먹이망의 에너지원으로 전환, 이용될 때 그러한 물질과 에너지 흐름 경로를 이해하기 위해서는 이들 물질의 구성 요소에 대한 지식이 필요하다. 본 연구에서는 서로 다른 지형구조와 양식대상 생물을 가지는 여러 내만의 양식 환경을 이해하기 위하여 일차적으로 한반도 남해의 대표적인 이매패류 양식해역 3개 해역에 대한 입자유기물질의 분포와 조성을 조사ㆍ비교하였다. (중략)

• Water for future
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• v.44 no.12
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• pp.46-51
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• 2011

• Proceedings of the Zoological Society Korea Conference
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• 1995.10b
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• pp.109-111
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• 1995

• Korean Journal of Environmental Biology
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• v.41 no.1
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• pp.89-100
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• 2023

We investigated the spatial distribution of heterotrophic bacteria associated with different water masses in the northern East China Sea(ECS) in summer. The surface water masses were divided into the Changjiang Diluted Water (CDW) and high salinity water (HSW). In the CDW region, the concentrations of dissolved inorganic nitrogen (DIN) and chlorophyll-a (Chl-a), and micro Chl-a contribution were high; and bacterial abundance (BA) and ciliate abundance (CA) were also high. In the HSW region with relatively low DIN concentrations, Chl-a concentration and micro Chl-a contribution were low, but pico Chl-a contribution was increased compared to those in the CDW region. BA did not show any significant difference from the CDW region, but CA was decreased. BA showed a positive correlation with Chl-a concentration in the CDW region; however, it did not show a significant correlation with Chl-a concentration in the HSW region. The ratio of bacterial carbon biomass/phytoplankton carbon biomass was exponentially increased with a decrease in the Chl-a concentration. Compared to the past (1990-2000s), the surface phosphate concentrations and the size of dominant phytoplankton have recently decreased in the ECS. Considering this trend of nutrient decrease and miniaturization of the phytoplankton, our results indicate that changes in the strength of the oligotrophic water mass could alter the function of the microbial food web.

• Korean Journal of Ecology and Environment
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• v.55 no.4
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• pp.376-389
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• 2022

Despite the consumption of disinfectants have been increased by COVID-19 pandemic, the fate of the chemicals in aquatic food webs are still unclear. In order to understand the trophic transfer of the chemicals, the concentration of disinfectants including six benzalkonium chloride (BACs) and five didecyldimethylammonium chlorides(DDACs) were measured at the Geum (2020), Han (2021), and Yeongsan River (2021), before and after rainfall. The highest concentration of ∑BACs (mainly C12 and C14) and ∑DDACs (mainly C10 and C14) were observed in the Han River, followed by Yeongsan River, Geum River Estuary, and Gapcheon. After rainfalls, both concentration and detection frequency were decreased in all sites. Although the BAC and DDAC seems to be accumulated in organisms, they were bio-diluted rather than magnified in the aquatic food web with the biomagnification factor(BMF) of less than 1, trophic magnification slope (TMS) from -0.236 to 0.001, and trophic magnification factor(TMF) from 0.85 to 1.01.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.05a
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• pp.197-198
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• 2003

해양동물의 성장, 호흡 및 동화효율 등의 생태ㆍ생리적 연구는 에너지 흐름의 역학적 구조를 이해하고 생태계의 기능을 파악하는데 있어 유용한 수단이 된다. 생태계는 복잡한 먹이사슬과 같은 영양학적 구조와 집단간 에너지 흐름의 양에 밀접하게 관련되어 있으며, 이러한 복잡한 먹이망 속에서 그 물질의 전환에 따른 에너지 흐름을 파악하기 위해서 에너지 수지를 분석하는 것이 매우 중요하다 (Klekowski and Ducan, 1975). (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.395-395
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• 2000

저서동물 군집조사는 먹이사슬이나 먹이망 등 해양생태계의 역학관계를 이해하는데 필수적으로 이루어져야 할 부분이며, 환경 변화가 해양생물에 미치는 영향을 평가하거나 생태계 변화를 예측하는데 가장 효율적인 조사방법이라고 본다. 바다목장화를 위해서는 우선적으로 연질기저 저서생불군집의 특징을 파악하여 생태계의 구조와 물질순환에 관한 기초적 자료를 제공할 필요가 있기 때문에, 본 조사는 저서환경에 대한 자료 축적 및 생태계 변동에 대한 감시 차원에서의 조사를 수행하였다. (중략)

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.49-55
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• 2024

This paper proposes PredFeed Net, a neural network model that mimics the food distribution of fish farming experts. Unlike existing food distribution automation systems, PredFeed Net predicts food distribution by learning the food distribution patterns of experts. This has the advantage of being able to learn using only existing environmental data and food distribution records from food distribution experts, without the need to experiment by changing food distribution variables according to the environment in an actual aquarium. After completing training, PredFeed Net predicts the next food ration based on the current environment or fish condition. Prediction of feed ration is a necessary element for automating feed ration, and feed ration automation contributes to the development of modern fish farming such as smart aquaculture and aquaponics systems.