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A Dynamic Energy Budget model for the macroalga Ulva lactuca

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  • Lavaud, Romain
  • Filgueira, Ramón
  • Nadeau, André
  • Steeves, Laura
  • Guyondet, Thomas

Abstract

Macroalgal blooms in eutrophic coastal waters around the globe constitute a rising issue for ecosystems and economic activities. Sometimes leading to anoxic events, a better understanding of its growth dynamics is necessary to develop mitigation strategies and inform policies on nutrient runoff management. The development of a Dynamic Energy Budget (DEB) model for the sea lettuce, Ulva lactuca, provides a generic mechanistic description of energy and matter fluxes within the macroalgae and between macroalgae and the environment. Forcing variables consist of seawater temperature, light intensity, and seawater concentrations of dissolved carbon and nitrogen. The model includes a self-shading module for light reduction under heavy biomass and simulation outputs consist of (but are not limited to) total algae biomass, nutrient uptake (carbon and nitrogen), photosynthetic rate, and state of nutrient reserve. Model parameters were estimated using data-sets from the literature and laboratory experiments, then validated using an independent field study in two estuaries with contrasting nutrient loads that feed into Malpeque Bay, PEI (Canada). The validation step yielded accurate temporal predictions of sea lettuce biomass in both of these estuaries. These results indicate that the present mechanistic modelling approach for predicting sea lettuce dynamics captures salient patterns along a spectrum of nutrient loading and could therefore be of use for managing across diverse ecological conditions, which is particularly relevant for a widespread species like Ulva lactuca.

Suggested Citation

  • Lavaud, Romain & Filgueira, Ramón & Nadeau, André & Steeves, Laura & Guyondet, Thomas, 2020. "A Dynamic Energy Budget model for the macroalga Ulva lactuca," Ecological Modelling, Elsevier, vol. 418(C).
  • Handle: RePEc:eee:ecomod:v:418:y:2020:i:c:s0304380019304302
    DOI: 10.1016/j.ecolmodel.2019.108922
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    References listed on IDEAS

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    1. Ren, Jeffrey S. & Stenton-Dozey, Jeanie & Plew, David R. & Fang, Jianguang & Gall, Mark, 2012. "An ecosystem model for optimising production in integrated multitrophic aquaculture systems," Ecological Modelling, Elsevier, vol. 246(C), pages 34-46.
    2. Victor Smetacek & Adriana Zingone, 2013. "Green and golden seaweed tides on the rise," Nature, Nature, vol. 504(7478), pages 84-88, December.
    3. Qianguo Xing & Luigi Tosi & Federica Braga & Xuelu Gao & Meng Gao, 2015. "Interpreting the progressive eutrophication behind the world’s largest macroalgal blooms with water quality and ocean color data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 7-21, August.
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    1. van Oort, P.A.J. & Verhagen, A. & van der Werf, A.K., 2023. "Can seaweeds feed the world? Modelling world offshore seaweed production potential," Ecological Modelling, Elsevier, vol. 484(C).
    2. Li, Yang & Yuan, Lin & Cao, Hao-Bing & Tang, Chen-Dong & Wang, Xian-Ye & Tian, Bo & Dou, Shen-Tang & Zhang, Li-Quan & Shen, Jian, 2021. "A dynamic biomass model of emergent aquatic vegetation under different water levels and salinity," Ecological Modelling, Elsevier, vol. 440(C).
    3. Venolia, Celeste T. & Lavaud, Romain & Green-Gavrielidis, Lindsay A. & Thornber, Carol & Humphries, Austin T., 2020. "Modeling the Growth of Sugar Kelp (Saccharina latissima) in Aquaculture Systems using Dynamic Energy Budget Theory," Ecological Modelling, Elsevier, vol. 430(C).

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