Articles | Volume 14, issue 4
Geosci. Model Dev., 14, 1949–1985, 2021
Geosci. Model Dev., 14, 1949–1985, 2021
Model description paper
13 Apr 2021
Model description paper | 13 Apr 2021

SPEAD 1.0 – Simulating Plankton Evolution with Adaptive Dynamics in a two-trait continuous fitness landscape applied to the Sargasso Sea

Guillaume Le Gland et al.

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Cited articles

Acevedo-Trejos, E., Brandt, G., Smith, S. L., and Merico, A.: PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model, Geosci. Model Dev., 9, 4071–4085,, 2016. a, b, c, d, e
Ackley, S. F. and Sullivan, C. W.: Physical controls on the development and characteristics of Antarctic sea ice biological communities: a review and synthesis, Deep-Sea Res. Pt. I, 41, 1583–1604,, 1994. a
Allen, A. P., Gillooly, J. F., and Brown, J. H.: Linking the global carbon cycle to individual metabolism, Funct. Ecol., 19, 202–213,, 2005. a
Álvarez, E., Nogueira, E., and López-Urrutia, Á.: In-vivo single-cell fluorescence and the size-scaling of phytoplankton chlorophyll content, Appl. Environ. Microb., 83, e03317-16,, 2017. a
Aumont, O., Maier-Reimer, E., Blain, S., and Monfray, P.: An ecosystem model of the global ocean including Fe, Si, P colimitations, Global Biogeochem. Cy., 17, 1060,, 2003. a
Short summary
We present an ecological model called SPEAD wherein various phytoplankton compete for nutrients. Phytoplankton in SPEAD are characterized by two continuously distributed traits: optimal temperature and nutrient half-saturation. Trait diversity is sustained by allowing the traits to mutate at each generation. We show that SPEAD agrees well with a more classical discrete model for only a fraction of the cost. We also identify realistic values for the mutation rates to be used in future models.