Marine Phytoplankton Temperature versus Growth Responses from Polar to Tropical Waters – Outcome of a Scientific Community-Wide Study

Boyd, Philip W.; Rynearson, Tatiana A.; Armstrong, Evelyn A.; Fu, Feixue; Hayashi, Kendra; Hu, Zhangxi; Hutchins, David A.; Kudela, Raphael M.; Litchman, Elena; Mulholland, Margaret R.; Passow, Uta; Strzepek, Robert F.; Whittaker, Kerry A.; Yu, Elizabeth; Thomas, Mridul K.

doi:10.1371/journal.pone.0063091

Cited by 429Marine and coastal ecosystemsAquatic Ecosystems and Phytoplankton DynamicsOceanographic and Atmospheric Processes

Marine Phytoplankton Temperature versus Growth Responses from Polar to Tropical Waters – Outcome of a Scientific Community-Wide Study

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Boyd, Philip W., Rynearson, Tatiana A., Armstrong, Evelyn A., Fu, Feixue, Hayashi, Kendra, Hu, Zhangxi, Hutchins, David A., Kudela, Raphael M. +7 more·2013·PLoS ONE

DOI 10.1371/journal.pone.0063091PMC PMC3660375

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Abstract

"It takes a village to finish (marine) science these days" Paraphrased from Curtis Huttenhower (the Human Microbiome project) The rapidity and complexity of climate change and its potential effects on ocean biota are challenging how ocean scientists conduct research. One way in which we can begin to better tackle these challenges is to conduct community-wide scientific studies. This study provides physiological datasets fundamental to understanding functional responses of phytoplankton growth rates to temperature. While physiological experiments are not new, our experiments were conducted in many laboratories using agreed upon protocols and 25 strains of eukaryotic and prokaryotic phytoplankton isolated across a wide range of marine environments from polar to tropical, and from nearshore waters to the open ocean. This community-wide approach provides both comprehensive and internally consistent datasets produced over considerably shorter time scales than conventional individual and often uncoordinated lab efforts. Such datasets can be used to parameterise global ocean model projections of environmental change and to provide initial insights into the magnitude of regional biogeographic change in ocean biota in the coming decades. Here, we compare our datasets with a compilation of literature data on phytoplankton growth responses to temperature. A comparison with prior published data suggests that the optimal temperatures of individual species and, to a lesser degree, thermal niches were similar across studies. However, a comparison of the maximum growth rate across studies revealed significant departures between this and previously collected datasets, which may be due to differences in the cultured isolates, temporal changes in the clonal isolates in cultures, and/or differences in culture conditions. Such methodological differences mean that using particular trait measurements from the prior literature might introduce unknown errors and bias into modelling projections. Using our community-wide approach we can reduce such protocol-driven variability in culture studies, and can begin to address more complex issues such as the effect of multiple environmental drivers on ocean biota.

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Acclimation of cellular metabolism to temperature fluctuations occurs on much longer time scales than mixing ones.
“First, the acclimation of the cellular metabolism to temperature fluctuations occurs on much longer time scales than mixing ones.”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [184]
The Materials and Methods (Lab Culturing Protocol; page unavailable) describe measuring steady-state growth in cultures acclimated to a temperature for at least four generations. That supports the use of multi-generation acclimation in this study, but the paper does not compare cellular-metabolism acclimation times with ocean mixing times or establish that they are much longer. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Acclimation of cells requires a certain exposure time to the new environment.
“Second, the acclimation of cells requires a certain exposure time to the new environment [184,185].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [184]

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Authors: Boyd, P. W., Rynearson, T. A., Armstrong, E. A., Fu, F., Hayashi, K., Hu, Z., Hutchins, D. A., Kudela, R. M., Litchman, E., Mulholland, M. R., Passow, U., Strzepek, R. F., Whittaker, K. A., Yu, E., & Thomas, M. K.
Affiliations: University of Otago (NZ)
University of Rhode Island (US)
University of California, Santa Cruz (US)
Old Dominion University (US)
University of Southern California (US)
Michigan State University (US)
University of California, Santa Barbara (US)
Corresponding author: Boyd, Philip W.
ORCID: Boyd, Philip W.
Rynearson, Tatiana A.
Armstrong, Evelyn A.
Hayashi, Kendra
Hu, Zhangxi
Hutchins, David A.
Kudela, Raphael M.
Litchman, Elena
Mulholland, Margaret R.
Passow, Uta
Strzepek, Robert F.
Thomas, Mridul K.
Venue: PLoS ONE
Publisher: Public Library of Science (PLoS)
Published: 2013-05-21
Volume: 8
Issue: 5
Pages: e63091
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0063091
PMC: PMC3660375
OpenAlex: W2126302259
Cited by: 429
References: 168
Citations by year: 2026: 20 · 2025: 37 · 2024: 29 · 2023: 23 · 2022: 22 · 2021: 51 · 2020: 46 · 2019: 36 · 2018: 30 · 2017: 40 · 2016: 31 · 2015: 34 · 2014: 23 · 2013: 7
FWCI: 23.12
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS ONE (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
ODU Digital Commons (Old Dominion University) (submittedVersion)
Journal of Media Literacy Education (submittedVersion, cc-by)
eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
eScholarship (California Digital Library) (submittedVersion)
Figshare (submittedVersion, cc-by)
ANU Open Research (Australian National University) (submittedVersion, cc-by)
Funders: National Science Foundation (0238347, 0928819, 0962309, 0926711, 0845932, 1041038, 0722395, 0727227)
Ministerio de Ciencia e Innovación
National Oceanic and Atmospheric Administration (NA04NOS4780239)
Marsden Fund
Topics: Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords: marine phytoplankton, temperature sensitivity, phytoplankton growth rate, thermal niche, optimal temperature, climate change, culture conditions, clonal isolates
MeSH terms: Humans, Oceans and Seas, Phytoplankton, Species Specificity, Temperature, Tropical Climate, Water, Ecosystem, Aquatic Organisms

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Marine Phytoplankton Temperature versus Growth Responses from Polar to Tropical Waters – Outcome of a Scientific Community-Wide Study

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