Flexible phytoplankton functional type (FlexPFT) model: size-scaling of traits and optimal growth

Smith, S. Lan, Pahlow, Markus, Merico, Agostino, Acevedo-Trejos, Esteban, Sasai, Yoshikazu, Yoshikawa, Chisato, Sasaoka, Kosei, Fujiki, Tetsuichi, Matsumoto, Kazuhiko and Honda, Makio C. (2016) Flexible phytoplankton functional type (FlexPFT) model: size-scaling of traits and optimal growth Journal of Plankton Research, 38 (4). pp. 977-992. DOI 10.1093/plankt/fbv038.

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Recent studies have analysed valuable compilations of data for the size-scaling of phytoplankton traits, but these cannot be employed directly in most large-scale modelling studies, which typically do not explicitly resolve the relevant trait values. Although some recent large-scale modelling studies resolve species composition and sorting within communities, most do not account for the observed flexible response of phytoplankton communities, such as the dynamic acclimation often observed in laboratory experiments. In order to derive a simple yet flexible model of phytoplankton growth that can be useful for a wide variety of ocean modelling applications, we combine two trade-offs, one for growth and the other for nutrient uptake, under the optimality assumption, i.e. that intracellular resources are dynamically allocated to maximize growth rate. This yields an explicit equation for growth as a function of nutrient concentration and daily averaged irradiance. We furthermore show how with this model effective Monod parameter values depend on both the underlying trait values and environmental conditions. We apply this new model to two contrasting time-series observation sites, including idealized simulations of size diversity. The flexible model responds differently compared with an inflexible control, suggesting that acclimation by individual species could impact models of plankton diversity.

Document Type: Article
Keywords: phytoplankton; ecosystem model; trait; acclimation; size-scaling
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
Refereed: Yes
DOI etc.: 10.1093/plankt/fbv038
ISSN: 0142-7873
Date Deposited: 12 Sep 2016 13:13
Last Modified: 26 Apr 2017 08:58
URI: http://eprints.uni-kiel.de/id/eprint/33774

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