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A benthic–pelagic coupled ecosystem model to estimate the hypoxic estuary including tidal flat—Model description and validation of seasonal/daily dynamics

Author

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  • Sohma, Akio
  • Sekiguchi, Yasuyuki
  • Kuwae, Tomohiro
  • Nakamura, Yoshiyuki

Abstract

A new ecosystem model – the Ecological Connectivity Hypoxia Model (ECOHYM) – was developed and applied to Tokyo Bay, a hypoxic estuary in Japan. ECOHYM permits study of the dynamics and mechanisms of hypoxia from two perspectives: (1) the whole estuary, composed of temporal-spatial mutual linkage of benthic–pelagic or central bay-tidal flat ecosystems (holistic approach), and (2) each biochemical and physical process, contributing to oxygen production/consumption (elemental approach). ECOHYM evaluates the oxygen–carbon–nitrogen–phosphorus-coupled cycle driven by physical and biochemical processes. The processes mechanically describe the ecosystem network consisting of benthic–pelagic and central bay–tidal flat ecosystem coupling. The model also describes the early diagenetic processes of the benthic ecosystems by setting a micro-scale vertical spatial resolution due to the drastic vertical change of benthic biological metabolism and its high contribution to total oxygen consumption. Model variables were mainly selected based on low trophic level; namely, phytoplankton, zooplankton, detritus, dissolved organic matter, NH4–N, NO3–N, PO4–P, benthic algae, suspension feeders, deposit feeders (benthic faunas), dissolved oxygen (DO) and oxygen demand units (ODU, representing the stoichiometric expression of Mn2+, Fe2+ and S2− oxygen demand). Detritus was divided into fast-labile, slow-labile and refractory parts. Bacterial mineralization processes were divided into oxic, suboxic and anoxic fractions. The model was applied for a time frame of 100 years under seasonal forcing functions to achieve an annual periodical steady state. The model results revealed that the seasonal dynamics were more noticeable than the daily/tidal dynamics in the central bay area. In contrast, the daily/tidal dynamics were determinant in the tidal flat area. Calculated seasonal dynamics in the central bay and daily/tidal dynamics in the tidal flat were in good agreement with the observed data. In particular, the model succeeded in reproducing the following vertical DO profiles during the hypoxic season (summer): (1) high oxygen at the sea-surface and hypoxia at the sea-bottom in the central bay area, (2) the reduced thickness of the benthic oxic layer in the central bay area, and (3) the drastic change of DO micro-profiles between daytime and nighttime of the benthic system in the tidal flat areas. Oxygen fluxes at the sediment–water interface in the model also reproduced the in situ observed values both in the central bay and tidal flat areas.

Suggested Citation

  • Sohma, Akio & Sekiguchi, Yasuyuki & Kuwae, Tomohiro & Nakamura, Yoshiyuki, 2008. "A benthic–pelagic coupled ecosystem model to estimate the hypoxic estuary including tidal flat—Model description and validation of seasonal/daily dynamics," Ecological Modelling, Elsevier, vol. 215(1), pages 10-39.
  • Handle: RePEc:eee:ecomod:v:215:y:2008:i:1:p:10-39
    DOI: 10.1016/j.ecolmodel.2008.02.027
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    Citations

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    Cited by:

    1. Ordoñez, César & de la Fuente, Alberto & Díaz-Palma, Paula, 2015. "Modeling the influence of benthic primary production on oxygen transport through the water–sediment interface," Ecological Modelling, Elsevier, vol. 311(C), pages 1-10.
    2. Dittrich, M. & Wehrli, B. & Reichert, P., 2009. "Lake sediments during the transient eutrophication period: Reactive-transport model and identifiability study," Ecological Modelling, Elsevier, vol. 220(20), pages 2751-2769.
    3. Sohma, Akio & Shibuki, Hisashi & Nakajima, Fumiyuki & Kubo, Atsushi & Kuwae, Tomohiro, 2018. "Modeling a coastal ecosystem to estimate climate change mitigation and a model demonstration in Tokyo Bay," Ecological Modelling, Elsevier, vol. 384(C), pages 261-289.
    4. Sohma, Akio & Imada, Riku & Nishikawa, Tetsuya & Shibuki, Hisashi, 2022. "Modeling the life cycle of four types of phytoplankton and their bloom mechanisms in a benthic-pelagic coupled ecosystem," Ecological Modelling, Elsevier, vol. 467(C).
    5. Ertürk, Ali & Sakurova, Ilona & Zilius, Mindaugas & Zemlys, Petras & Umgiesser, Georg & Kaynaroglu, Burak & Pilkaitytė, Renata & Razinkovas-Baziukas, Artūras, 2023. "Development of a pelagic biogeochemical model with enhanced computational performance by optimizing ecological complexity and spatial resolution," Ecological Modelling, Elsevier, vol. 486(C).

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