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Article

Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model

1
Marine Biological Laboratory, Woods Hole, MA 02543, USA
2
Department of Earth, Atmosphere and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(11), 1249; https://doi.org/10.3390/e22111249
Received: 3 September 2020 / Revised: 11 October 2020 / Accepted: 30 October 2020 / Published: 3 November 2020
(This article belongs to the Special Issue Evolution and Thermodynamics)
We develop a trait-based model founded on the hypothesis that biological systems evolve and organize to maximize entropy production by dissipating chemical and electromagnetic free energy over longer time scales than abiotic processes by implementing temporal strategies. A marine food web consisting of phytoplankton, bacteria, and consumer functional groups is used to explore how temporal strategies, or the lack thereof, change entropy production in a shallow pond that receives a continuous flow of reduced organic carbon plus inorganic nitrogen and illumination from solar radiation with diel and seasonal dynamics. Results show that a temporal strategy that employs an explicit circadian clock produces more entropy than a passive strategy that uses internal carbon storage or a balanced growth strategy that requires phytoplankton to grow with fixed stoichiometry. When the community is forced to operate at high specific growth rates near 2 d−1, the optimization-guided model selects for phytoplankton ecotypes that exhibit complementary for winter versus summer environmental conditions to increase entropy production. We also present a new type of trait-based modeling where trait values are determined by maximizing entropy production rather than by random selection. View Full-Text
Keywords: maximum entropy production; trait-based modeling; temporal strategy; circadian rhythm; biogeochemistry; food web model maximum entropy production; trait-based modeling; temporal strategy; circadian rhythm; biogeochemistry; food web model
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MDPI and ACS Style

Vallino, J.J.; Tsakalakis, I. Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model. Entropy 2020, 22, 1249. https://doi.org/10.3390/e22111249

AMA Style

Vallino JJ, Tsakalakis I. Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model. Entropy. 2020; 22(11):1249. https://doi.org/10.3390/e22111249

Chicago/Turabian Style

Vallino, Joseph J., and Ioannis Tsakalakis. 2020. "Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model" Entropy 22, no. 11: 1249. https://doi.org/10.3390/e22111249

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