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Exploring evolution of maximum growth rates in plankton
Journal of Plankton Research, Volume: 42, Issue: 5, Pages: 497 - 513
Swansea University Author: David Skibinski
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DOI (Published version): 10.1093/plankt/fbaa038
Abstract
Evolution has direct and indirect consequences on species–species interactions and the environment. However, Earth systems models describing planktonic activity invariably fail to explicitly consider organism evolution. Here we simulate the evolution of the single most important physiological charac...
Published in: | Journal of Plankton Research |
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ISSN: | 0142-7873 1464-3774 |
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Oxford University Press (OUP)
2020
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URI: | https://cronfa.swan.ac.uk/Record/cronfa55147 |
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2020-10-30T14:56:19.7378356 v2 55147 2020-09-09 Exploring evolution of maximum growth rates in plankton 328d16903f98c2b03a1cc64a7530322a 0000-0003-4077-6236 David Skibinski David Skibinski true false 2020-09-09 SGMED Evolution has direct and indirect consequences on species–species interactions and the environment. However, Earth systems models describing planktonic activity invariably fail to explicitly consider organism evolution. Here we simulate the evolution of the single most important physiological characteristic of any organism as described in models—its maximum growth rate (μm). Using a low-computational-cost approach, we incorporate the evolution of μm for each of the plankton components in a simple Nutrient-Phytoplankton-Zooplankton -style model such that the fitness advantages and disadvantages in possessing a high μm evolve to become balanced. The model allows an exploration of parameter ranges leading to stresses, which drive the evolution of μm. In applications of the method we show that simulations of climate change give very different projections when the evolution of μm is considered. Thus, production may decline as evolution reshapes growth and trophic dynamics. Additionally, predictions of extinction of species may be overstated in simulations lacking evolution as the ability to evolve under changing environmental conditions supports evolutionary rescue. The model explains why organisms evolved for mature ecosystems (e.g. temperate summer, reliant on local nutrient recycling or mixotrophy), express lower maximum growth rates than do organisms evolved for immature ecosystems (e.g. temperate spring, high resource availability). Journal Article Journal of Plankton Research 42 5 497 513 Oxford University Press (OUP) 0142-7873 1464-3774 11 9 2020 2020-09-11 10.1093/plankt/fbaa038 COLLEGE NANME Medical School - School COLLEGE CODE SGMED Swansea University 2020-10-30T14:56:19.7378356 2020-09-09T19:37:06.5585923 Professional Services ISS - Uncategorised Kevin J Flynn 1 David Skibinski 0000-0003-4077-6236 2 55147__18545__ae53936b35ee42908ed064967cbf5cd5.pdf 55147.VOR.pdf 2020-10-30T14:52:56.5417987 Output 1715744 application/pdf Version of Record true © 2020 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 (CC BY) License. true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Exploring evolution of maximum growth rates in plankton |
spellingShingle |
Exploring evolution of maximum growth rates in plankton David Skibinski |
title_short |
Exploring evolution of maximum growth rates in plankton |
title_full |
Exploring evolution of maximum growth rates in plankton |
title_fullStr |
Exploring evolution of maximum growth rates in plankton |
title_full_unstemmed |
Exploring evolution of maximum growth rates in plankton |
title_sort |
Exploring evolution of maximum growth rates in plankton |
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328d16903f98c2b03a1cc64a7530322a |
author_id_fullname_str_mv |
328d16903f98c2b03a1cc64a7530322a_***_David Skibinski |
author |
David Skibinski |
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Kevin J Flynn David Skibinski |
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Journal of Plankton Research |
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42 |
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497 |
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2020 |
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Swansea University |
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0142-7873 1464-3774 |
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10.1093/plankt/fbaa038 |
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Oxford University Press (OUP) |
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description |
Evolution has direct and indirect consequences on species–species interactions and the environment. However, Earth systems models describing planktonic activity invariably fail to explicitly consider organism evolution. Here we simulate the evolution of the single most important physiological characteristic of any organism as described in models—its maximum growth rate (μm). Using a low-computational-cost approach, we incorporate the evolution of μm for each of the plankton components in a simple Nutrient-Phytoplankton-Zooplankton -style model such that the fitness advantages and disadvantages in possessing a high μm evolve to become balanced. The model allows an exploration of parameter ranges leading to stresses, which drive the evolution of μm. In applications of the method we show that simulations of climate change give very different projections when the evolution of μm is considered. Thus, production may decline as evolution reshapes growth and trophic dynamics. Additionally, predictions of extinction of species may be overstated in simulations lacking evolution as the ability to evolve under changing environmental conditions supports evolutionary rescue. The model explains why organisms evolved for mature ecosystems (e.g. temperate summer, reliant on local nutrient recycling or mixotrophy), express lower maximum growth rates than do organisms evolved for immature ecosystems (e.g. temperate spring, high resource availability). |
published_date |
2020-09-11T04:09:09Z |
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11.01628 |