Modeling Size-dependent Photosynthesis: Light Absorption and the Allometric Rule

Finkel, Zoe V.; Irwin, Andrew J.

doi:10.1006/jtbi.2000.2020

Cited by 70 publications

(64 citation statements)

References 23 publications

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“…Given that the effect of cell size on light harvesting is well understood (Augusti, 1991;Finkel and Irwin, 2000;Finkel, 2001), it could be implemented in the model. Future versions of PhytoSFDM could address this gap by considering the vertical attenuation of light as a function of both phytoplankton biomass and cell size, following the approach proposed by Baird and Suthers (2007).…”

Section: Strength and Weakness Of Moment-based Approximationsmentioning

confidence: 99%

PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model

et al. 2016

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Abstract. Biodiversity is one of the key mechanisms that facilitate the adaptive response of planktonic communities to a fluctuating environment. How to allow for such a flexible response in marine ecosystem models is, however, not entirely clear. One particular way is to resolve the natural complexity of phytoplankton communities by explicitly incorporating a large number of species or plankton functional types. Alternatively, models of aggregate community properties focus on macroecological quantities such as total biomass, mean trait, and trait variance (or functional trait diversity), thus reducing the observed natural complexity to a few mathematical expressions. We developed the PhytoSFDM modelling tool, which can resolve species discretely and can capture aggregate community properties. The tool also provides a set of methods for treating diversity under realistic oceanographic settings. This model is coded in Python and is distributed as open-source software. PhytoSFDM is implemented in a zerodimensional physical scheme and can be applied to any location of the global ocean. We show that aggregate community models reduce computational complexity while preserving relevant macroecological features of phytoplankton communities. Compared to species-explicit models, aggregate models are more manageable in terms of number of equations and have faster computational times. Further developments of this tool should address the caveats associated with the assumptions of aggregate community models and about implementations into spatially resolved physical settings (onedimensional and three-dimensional). With PhytoSFDM we embrace the idea of promoting open-source software and encourage scientists to build on this modelling tool to further improve our understanding of the role that biodiversity plays in shaping marine ecosystems.

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Section: Strength and Weakness Of Moment-based Approximationsmentioning

confidence: 99%

PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model

et al. 2016

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“…dissolved organic carbon (DOC) and particulate organic carbon (POC) of different sizes, started to become available only recently in the Arctic Basin (Gosselin et al 1997) and Arctic polynyas (Pesant et al 1996, Klein et al 2002. Phytoplankton of different sizes differ in their physiological responses to physical and chemical conditions of the water column, following the laws of allometry (Chisholm 1992, Finkel & Irwin 2000. The flux of photosynthetically produced carbon by phytoplankton within the pelagic food web depends on the partitioning among DOC and POC of small and large phytoplankton (Legendre & Le Fèvre 1989, Tremblay & Legendre 1994, Legendre & Rassoulzadegan 1996.…”

Section: Resale or Republication Not Permitted Without Written Consenmentioning

confidence: 99%

Phytoplankton production in the North Water Polynya: size-fractions and carbon fluxes, April to July 1998

Mei¹,

Legendre²,

Gratton³

et al. 2003

Mar. Ecol. Prog. Ser.

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“…Under the assumption of uniform c i and that the Ϫ1/4 size scaling of metabolic rates reported in heterotrophs still occurs in autotrophs, steeper size scaling is expected for the anabolic rates of light-limited unicellular autotrophs (Finkel and Irwin 2000). The exact nature of the size scaling of the anabolic rates depends on the relationship between c i and cell size.…”

mentioning

confidence: 97%

“…Light absorption may be responsible for the anomalous size scaling of the metabolic rates of phytoplankton (Finkel and Irwin 2000). Unlike heterotrophs, autotrophs depend on the absorption of light to drive their metabolic processes.…”

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confidence: 99%

Light absorption and size scaling of light‐limited metabolism in marine diatoms

Finkel¹

2001

Limnology & Oceanography

232

204

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Previous studies have found that the size-scaling exponent of metabolic rates in unicellular algae often deviates from the exponent of Ϫ1/4 usually found for heterotrophs. This study confirms a significant linear relationship between log cell volume (m 3 ) and log intrinsic growth rate (h Ϫ1 ), carbon-normalized photosynthetic capacity and performance (h Ϫ1 ), and carbon-normalized respiratory rate (h Ϫ1 ) for eight marine centric diatoms under nutrientsaturated, light-limited conditions. The intrinsic growth rate and carbon-normalized respiratory rate have size-scaling exponents not significantly different from Ϫ1/4, whereas the carbon-specific photosynthetic rates deviate from Ϫ1/ 4. The size dependence of the optical absorption cross section (m 2 mg chlorophyll a Ϫ1 ) due to the package effect provides a mechanistic model that explains the anomalous size scaling of the anabolic rates of unicellular phytoplankton.

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Modeling Size-dependent Photosynthesis: Light Absorption and the Allometric Rule

Cited by 70 publications

References 23 publications

PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model

PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model

Phytoplankton production in the North Water Polynya: size-fractions and carbon fluxes, April to July 1998

Light absorption and size scaling of light‐limited metabolism in marine diatoms

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