Is there a difference of temperature sensitivity between marine phytoplankton and heterotrophs?
Chen, Bingzhang and Laws, Edward A. (2017) Is there a difference of temperature sensitivity between marine phytoplankton and heterotrophs? Limnology and Oceanography, 62 (2). pp. 806-817. ISSN 0024-3590 (https://doi.org/10.1002/lno.10462)
Preview |
Text.
Filename: Chen_Laws_LO_2017_Is_there_a_difference_of_temperature_sensitivity_between_marine.pdf
Final Published Version License: Download (927kB)| Preview |
Abstract
The temperature sensitivity of phytoplankton growth rates, parameterized as the activation energy (Ea) in the Boltzmann-Arrhenius equation, is critical to determining how global warming will affect marine ecosystems and the efficiency of the biological pump in the ocean. We applied both linear and nonlinear regression models to two laboratory temperature-growth experimental datasets to estimate the Ea of each taxon of phytoplankton and heterotrophic protists. We found that phytoplankton Ea and normalized growth rates depended strongly on community composition. Diatoms grew more rapidly and had lower Ea values, whereas cyanobacteria grew more slowly and had higher Ea values. The phytoplankton Ea was underestimated by a single OLS regression on the pooled dataset because slowly growing cyanobacteria dominated in warm, oligotrophic ocean gyres, and rapidly growing diatoms dominated in cold, nutrient-rich waters. By contrast, the median Ea values estimated from individual experiments did not differ between phytoplankton and heterotrophic protists. Our results suggest that phytoplankton community composition needs to be considered when trying to predict the effects of ocean warming on ecosystem productivity and metabolism.
ORCID iDs
Chen, Bingzhang ORCID: https://orcid.org/0000-0002-1573-7473 and Laws, Edward A.;-
-
Item type: Article ID code: 66438 Dates: DateEvent31 March 2017Published5 December 2016Published Online5 October 2016AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics
Agriculture > Aquaculture. Fisheries. AnglingDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 21 Dec 2018 11:37 Last modified: 12 Dec 2024 07:27 URI: https://strathprints.strath.ac.uk/id/eprint/66438