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Modelling stressors on the eelgrass recovery process in two Danish estuaries

Author

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  • Kuusemäe, Kadri
  • Rasmussen, Erik Kock
  • Canal-Vergés, Paula
  • Flindt, Mogens R.

Abstract

Eelgrass (Zostera marina L.) depth limit is used as an environmental indicator in Danish coastal waters in the Water Framework Directive (WFD) to evaluate coastal waters and their ecological condition. Even after decades of reduced nutrient loadings the reestablishment of eelgrass has not yet succeeded. The mechanisms hindering/delaying eelgrass recovery were recently identified: 1) lack of sediment anchoring capacity, 2) resuspension created by drifting ephemeral macroalgae, 3) seedling uprooting created by current and wave forces, 4) ballistic stress from attached macroalgae and 5) burial of seeds and seedlings by lugworms. These processes were quantified and introduced to an ecological MIKE 3D model. The developed model was calibrated and validated on two Danish estuaries, Odense Fjord and Roskilde Fjord. Analyses of the simulations were performed on area distribution maps. The parameterized stressors impact has been investigated over a three-year period.

Suggested Citation

  • Kuusemäe, Kadri & Rasmussen, Erik Kock & Canal-Vergés, Paula & Flindt, Mogens R., 2016. "Modelling stressors on the eelgrass recovery process in two Danish estuaries," Ecological Modelling, Elsevier, vol. 333(C), pages 11-42.
    • Handle: RePEc:eee:ecomod:v:333:y:2016:i:c:p:11-42
    DOI: 10.1016/j.ecolmodel.2016.04.008
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    References listed on IDEAS

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    1. Canal-Vergés, Paula & Potthoff, Michael & Hansen, Flemming Thorbjørn & Holmboe, Nikolaj & Rasmussen, Erik Kock & Flindt, Mogens R., 2014. "Eelgrass re-establishment in shallow estuaries is affected by drifting macroalgae – Evaluated by agent-based modeling," Ecological Modelling, Elsevier, vol. 272(C), pages 116-128.
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    Cited by:

    1. Lai, Samantha & Teo, Theophilus Zhi En & Rullyanto, Arief & Low, Jeffery & Tun, Karenne & Todd, Peter A. & Yaakub, Siti Maryam, 2024. "An agent-based model approach to assessing the role of vegetative fragments in seagrass connectivity," Ecological Modelling, Elsevier, vol. 487(C).
    2. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    3. Kuusemäe, Kadri & von Thenen, Miriam & Lange, Troels & Rasmussen, Erik Kock & Pothoff, Michael & Sousa, Ana I. & Flindt, Mogens R., 2018. "Agent Based Modelling (ABM) of eelgrass (Zostera marina) seedbank dynamics in a shallow Danish estuary," Ecological Modelling, Elsevier, vol. 371(C), pages 60-75.

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