Modelling the effect of temperature on phytoplankton growth across the global ocean
Grimaud, Ghjuvan Micaelu LU
; Le Guennec, Valérie
; Ayata, Sakina Dorothée
; Mairet, Francis
; Sciandra, Antoine
and Bernard, Olivier
(2015)
8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015
In IFAC-PapersOnLine
28(1).
p.228-233
- Abstract
Phytoplankton are ectotherms and are thus directly influenced by temperature. They experience temporal variation in temperature which results in a selection pressure. Using the Adaptive Dynamics theory and an optimization method, we study phytoplankton thermal adaptation (more particulary the evolution of the optimal growth temperature) to temperature fluctuations. We use this method at the scale of global ocean and compare two existing models. We validate our approach by comparing model predictions with experimental data sets from 57 species. Finally, we show that temperature actually drives evolution and that the optimum temperature for phytoplankton growth is strongly linked to thermal amplitude variations.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/01619e8f-450f-4254-ac46-306c2715d334
- author
- Grimaud, Ghjuvan Micaelu
LU
; Le Guennec, Valérie
; Ayata, Sakina Dorothée
; Mairet, Francis
; Sciandra, Antoine
and Bernard, Olivier
- publishing date
- 2015-02-01
- type
- Contribution to journal
- publication status
- published
- keywords
- Adaptive Dynamics, Evolution, Microalgae, Modelling, Phytoplankton, Temperature
- in
- IFAC-PapersOnLine
- volume
- 28
- issue
- 1
- pages
- 6 pages
- publisher
- IFAC Secretariat
- conference name
- 8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015
- conference location
- Vienna, Austria
- conference dates
- 2015-02-18 - 2015-02-20
- external identifiers
-
- scopus:84954111096
- ISSN
- 2405-8963
- DOI
- 10.1016/j.ifacol.2015.05.059
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
- id
- 01619e8f-450f-4254-ac46-306c2715d334
- date added to LUP
- 2024-11-25 16:02:42
- date last changed
- 2024-12-17 20:19:59
@article{01619e8f-450f-4254-ac46-306c2715d334,
abstract = {{<p>Phytoplankton are ectotherms and are thus directly influenced by temperature. They experience temporal variation in temperature which results in a selection pressure. Using the Adaptive Dynamics theory and an optimization method, we study phytoplankton thermal adaptation (more particulary the evolution of the optimal growth temperature) to temperature fluctuations. We use this method at the scale of global ocean and compare two existing models. We validate our approach by comparing model predictions with experimental data sets from 57 species. Finally, we show that temperature actually drives evolution and that the optimum temperature for phytoplankton growth is strongly linked to thermal amplitude variations.</p>}},
author = {{Grimaud, Ghjuvan Micaelu and Le Guennec, Valérie and Ayata, Sakina Dorothée and Mairet, Francis and Sciandra, Antoine and Bernard, Olivier}},
issn = {{2405-8963}},
keywords = {{Adaptive Dynamics; Evolution; Microalgae; Modelling; Phytoplankton; Temperature}},
language = {{eng}},
month = {{02}},
number = {{1}},
pages = {{228--233}},
publisher = {{IFAC Secretariat}},
series = {{IFAC-PapersOnLine}},
title = {{Modelling the effect of temperature on phytoplankton growth across the global ocean}},
url = {{http://dx.doi.org/10.1016/j.ifacol.2015.05.059}},
doi = {{10.1016/j.ifacol.2015.05.059}},
volume = {{28}},
year = {{2015}},
}