Evaluating the Effects of Land-derived Nutrient Load on Nutrient and Ecosystem Production at Harima Nada in Seto Inland Sea Using Food Chain Model
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- KOGA Yutaro
- Hyogo Prefectural Institute of Environmental Sciences
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- SHIMADERA Hikari
- Graduate School of Engineering, Osaka University
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- SATO Yuichi
- Lake Biwa Environmental Research Institute
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- ANDREOLI Valentina PINTOS
- Graduate School of Engineering, Osaka University
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- SUZUKI Motoharu
- Hyogo Prefectural Institute of Environmental Sciences
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- MATSUO Tomohito
- Graduate School of Engineering, Osaka University
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- KONDO Akira
- Graduate School of Engineering, Osaka University
Bibliographic Information
- Other Title
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- 食物連鎖モデルを用いた瀬戸内海播磨灘の水質・生態系への栄養塩類負荷量の影響評価
Description
<p>At present, many efforts are being made to ensure the biodiversity and productivity of the marine ecosystems in Harima Nada, the Seto Inland Sea, by increasing the land-derived load of nutrients, such as total nitrogen (TN) into the sea. In this study, a food chain model was used to predict the effects of changes in the input of land-derived TN on the marine TN concentration and the Harima Nada ecosystems’ production of phytoplankton, zooplankton, and higher-trophic-level organisms. The model’s ecosystem parameters were estimated stochastically by the Monte Carlo method. The model successfully reproduced the TN concentration and the biomass production in both northern-coastal and central-southern area with different environmental characteristics. By incrementing land-derived TN load 10 times of the 2010s by the model, the estimation of TN concentration in marine waters increases by up to 1.9 times in the northern-coastal area and 1.3 times in the central-southern area. Additionally, there is an increase in the biomass of piscivorous species (highest ecosystem production level) of 1.2 times for the entire Harima Nada.</p>
Journal
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- Journal of Japan Society on Water Environment
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Journal of Japan Society on Water Environment 47 (5), 151-161, 2024
Japan Society on Water Environment
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Details 詳細情報について
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- CRID
- 1390301452272593024
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- ISSN
- 18813690
- 09168958
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed