サイズベース生態系モデルの開発と東京湾への適用

DOI

書誌事項

タイトル別名
  • The Development ofA Size-based Mathematical Eco-Hydrodynamical Model and Application to Tokyo Bay

抄録

A size-based ecosystem model has been developed to understand a detailed food web system such as a micro-bial loop occurred in a coastal bay (estuary).The model is applied to TokyoBay by coulpling with a 3-D hydrodynamical model. In this application, picoplankton, nano-diatom, nano-flagellate, net-diatom and net flagellate are considered as compartments of autotrophic level. Bacteria, heterotrophic flagellate, micro-zooplankton and meso-zooplankton are considered as compartments of heterotrophic level. According to the sensitivity tests of the model, it is found that the most sensitiveparameterin themodel is the meso-zooplankton grazing rate. Thechange of 0.1 day1 in the meso-zooplankton grazing rate leads to the change of 90 mgCnr3 diatom biomass. The results of the sensitivity analysis show thatthe value of 0.8day1 forthemeso-zooplankton grazing rateis appropriate. The simulated phytoplankton is well reproduced for the present situation inTokyo Bay. The time variations of the simulated biomass of autotrophic components show that diurnal variations caused byphotosynthesis arepredominant. In the heterotrohphic compartments, mesozooplankton biomass also shows typical diurmal variations as a resultof prey-predator interac tion. The net-diatom and net flagellate vary within the period of 10 days in the simulation, and meso-zooplankton also varies with thesame time period but with lags lOdays behind net-phytoplankton, which reflects on the prey-predator interaction. In thesimulation, net-phytoplankton is dominant in the upper bay, whereas nano- and pico plankton becomedominantnear the entranceof the bay. This study demonstrates that the developed model can clarify the temporal and spatial varia tions of each size category and of each trophic level.

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詳細情報 詳細情報について

  • CRID
    1390282763099611648
  • NII論文ID
    130007593571
  • DOI
    10.14928/amstec.4.1_95
  • ISSN
    21883262
    13412752
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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