Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model
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...
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2020-11-01
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Online Access: | https://www.mdpi.com/1099-4300/22/11/1249 |
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doaj-079cc86eaad845e1816af2f5e8c59f282020-11-25T04:05:30ZengMDPI AGEntropy1099-43002020-11-01221249124910.3390/e22111249Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web ModelJoseph J. Vallino0Ioannis Tsakalakis1Marine Biological Laboratory, Woods Hole, MA 02543, USAMarine Biological Laboratory, Woods Hole, MA 02543, USAWe 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<sup>−1</sup>, 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.https://www.mdpi.com/1099-4300/22/11/1249maximum entropy productiontrait-based modelingtemporal strategycircadian rhythmbiogeochemistryfood web model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joseph J. Vallino Ioannis Tsakalakis |
spellingShingle |
Joseph J. Vallino Ioannis Tsakalakis Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model Entropy maximum entropy production trait-based modeling temporal strategy circadian rhythm biogeochemistry food web model |
author_facet |
Joseph J. Vallino Ioannis Tsakalakis |
author_sort |
Joseph J. Vallino |
title |
Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model |
title_short |
Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model |
title_full |
Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model |
title_fullStr |
Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model |
title_full_unstemmed |
Phytoplankton Temporal Strategies Increase Entropy Production in a Marine Food Web Model |
title_sort |
phytoplankton temporal strategies increase entropy production in a marine food web model |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2020-11-01 |
description |
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<sup>−1</sup>, 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. |
topic |
maximum entropy production trait-based modeling temporal strategy circadian rhythm biogeochemistry food web model |
url |
https://www.mdpi.com/1099-4300/22/11/1249 |
work_keys_str_mv |
AT josephjvallino phytoplanktontemporalstrategiesincreaseentropyproductioninamarinefoodwebmodel AT ioannistsakalakis phytoplanktontemporalstrategiesincreaseentropyproductioninamarinefoodwebmodel |
_version_ |
1724433618070142976 |