Modelling for deriving management plan for production and environment of marine fish cage farm
In South Korea, issues related to production and environmental concerns are arising from marine fish cage farm. To address this, a modeling study was conducted to derive management plan. The model used a combination of hydrodynamic, fish growth, and ecosystem (water quality and sediment) models. The...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Fisheries and Aquatic Science
2024-12-01
|
| Series: | Fisheries and Aquatic Sciences |
| Subjects: | |
| Online Access: | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2024.e75 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841526493029597184 |
|---|---|
| author | Woo Sung Jung Sok Jin Hong Sang Pil Yoon Dae In Lee Won Chan Lee Dong Myung Kim |
| author_facet | Woo Sung Jung Sok Jin Hong Sang Pil Yoon Dae In Lee Won Chan Lee Dong Myung Kim |
| author_sort | Woo Sung Jung |
| collection | DOAJ |
| description | In South Korea, issues related to production and environmental concerns are arising from marine fish cage farm. To address this, a modeling study was conducted to derive management plan. The model used a combination of hydrodynamic, fish growth, and ecosystem (water quality and sediment) models. The hydrodynamic model utilized Environmental Fluid Dynamics Code. The fish growth model was developed specifically for this study’s purpose. The ecosystem model used was Ecosystem Model for Marine Management. This modelling approach is the first of its kind in South Korea. It incorporated pollution sources such as wasted feed and fish feces as state variables, which were integrated into the ecosystem model. Furthermore, the fish growth model considered fish mortality based on aquaculture conditions (water temperature, dissolved oxygen, stocking density). Although the negative effects of high stocking densities are well-documented, no previous fish modeling cases have considered this. Model validation results showed good reproducibility of annual fish growth and production for each cage. Notably, the model reproduced the phenomenon in the 2-year-olds fish of reduced production per cage followed by an increase due to the consideration of density-dependent mortality. Additionally, spatial and temporal reproducibility of water quality and sediment parameters, including total organic carbon and sedimentation rate, were satisfactory. A limitation of this study remains the lack of sufficient observational data. Scenario analysis for the management plan yielded the following results: Firstly, different age classes require specific management approaches due to varying impacts of feeding, excrement production, and growth-limiting factors. Secondly, optimizing feed input can improve environmental conditions and economic benefits. Thirdly, regulating stocking density is more efficient than adjusting the number of cages. This model provides a tool for deriving management plans for marine fish cage farming based on an integrated understanding of the aquaculture ecosystem. Furthermore, it can be utilized for various purposes, such as assessing the range of influence of organic matter, calculating resting periods for fish farms, and evaluating sustainability. |
| format | Article |
| id | doaj-art-5ae85a460b7542dea54cc6d82c72482d |
| institution | Kabale University |
| issn | 2234-1757 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | The Korean Society of Fisheries and Aquatic Science |
| record_format | Article |
| series | Fisheries and Aquatic Sciences |
| spelling | doaj-art-5ae85a460b7542dea54cc6d82c72482d2025-01-16T21:47:56ZengThe Korean Society of Fisheries and Aquatic ScienceFisheries and Aquatic Sciences2234-17572024-12-01271281084110.47853/FAS.2024.e75Modelling for deriving management plan for production and environment of marine fish cage farmWoo Sung Jung0Sok Jin Hong1Sang Pil Yoon2Dae In Lee3Won Chan Lee4Dong Myung Kim5Department of Numerical Modelling, Geosystem Research, Gunpo 15807, KoreaEcological Modelling, Eco-Tec Company, Busan 48311, KoreaMarine Environmental Impact Assessment Center, National Institute of Fisheries Science, Busan 46083, KoreaMarine Environmental Research Division, National Institute of Fisheries Science, Busan 46083, KoreaMarine Environmental Research Division, National Institute of Fisheries Science, Busan 46083, KoreaDepartment of Ecological Engineering, Pukyong National University, Busan 48513, KoreaIn South Korea, issues related to production and environmental concerns are arising from marine fish cage farm. To address this, a modeling study was conducted to derive management plan. The model used a combination of hydrodynamic, fish growth, and ecosystem (water quality and sediment) models. The hydrodynamic model utilized Environmental Fluid Dynamics Code. The fish growth model was developed specifically for this study’s purpose. The ecosystem model used was Ecosystem Model for Marine Management. This modelling approach is the first of its kind in South Korea. It incorporated pollution sources such as wasted feed and fish feces as state variables, which were integrated into the ecosystem model. Furthermore, the fish growth model considered fish mortality based on aquaculture conditions (water temperature, dissolved oxygen, stocking density). Although the negative effects of high stocking densities are well-documented, no previous fish modeling cases have considered this. Model validation results showed good reproducibility of annual fish growth and production for each cage. Notably, the model reproduced the phenomenon in the 2-year-olds fish of reduced production per cage followed by an increase due to the consideration of density-dependent mortality. Additionally, spatial and temporal reproducibility of water quality and sediment parameters, including total organic carbon and sedimentation rate, were satisfactory. A limitation of this study remains the lack of sufficient observational data. Scenario analysis for the management plan yielded the following results: Firstly, different age classes require specific management approaches due to varying impacts of feeding, excrement production, and growth-limiting factors. Secondly, optimizing feed input can improve environmental conditions and economic benefits. Thirdly, regulating stocking density is more efficient than adjusting the number of cages. This model provides a tool for deriving management plans for marine fish cage farming based on an integrated understanding of the aquaculture ecosystem. Furthermore, it can be utilized for various purposes, such as assessing the range of influence of organic matter, calculating resting periods for fish farms, and evaluating sustainability. http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2024.e75Marine fish cage farmManagement planModellingProductionEnvironment |
| spellingShingle | Woo Sung Jung Sok Jin Hong Sang Pil Yoon Dae In Lee Won Chan Lee Dong Myung Kim Modelling for deriving management plan for production and environment of marine fish cage farm Fisheries and Aquatic Sciences Marine fish cage farm Management plan Modelling Production Environment |
| title | Modelling for deriving management plan for production and environment of marine fish cage farm |
| title_full | Modelling for deriving management plan for production and environment of marine fish cage farm |
| title_fullStr | Modelling for deriving management plan for production and environment of marine fish cage farm |
| title_full_unstemmed | Modelling for deriving management plan for production and environment of marine fish cage farm |
| title_short | Modelling for deriving management plan for production and environment of marine fish cage farm |
| title_sort | modelling for deriving management plan for production and environment of marine fish cage farm |
| topic | Marine fish cage farm Management plan Modelling Production Environment |
| url | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2024.e75 |
| work_keys_str_mv | AT woosungjung modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm AT sokjinhong modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm AT sangpilyoon modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm AT daeinlee modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm AT wonchanlee modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm AT dongmyungkim modellingforderivingmanagementplanforproductionandenvironmentofmarinefishcagefarm |