2006
DOI: 10.1016/j.ecolmodel.2005.05.012
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Phytoplankton production modelling in three marine ecosystems—static versus dynamic approach

Abstract: Phytoplankton productivity is usually determined from water samples incubated at a number of irradiance levels during several hours. The resultant productivity-irradiance (P-E) curves are then used to estimate local and/or global phytoplankton production. However, there is growing evidence that these curves, referred as static, underestimate phytoplankton photosynthesis to a great deal, by assuming a stable response to light over the incubation period. One of the drawbacks of static P-E curves is the overestim… Show more

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Cited by 23 publications
(12 citation statements)
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References 61 publications
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“…Volumetric determinations of primary production (in milligrams of carbon per cubic meter per day) were fit to a three-parameter function of PAR (Macedo and Duarte 2006):…”
Section: Methodsmentioning
confidence: 99%
“…Volumetric determinations of primary production (in milligrams of carbon per cubic meter per day) were fit to a three-parameter function of PAR (Macedo and Duarte 2006):…”
Section: Methodsmentioning
confidence: 99%
“…Although photoinhibition was usually observed in data from the incubations, it may be uncommon in the field because individual cells in a turbulent water column may be exposed to bright light for only limited periods (Macedo and Duarte 2006). The time constant for onset of photoinhibition is~1 h (Pahl-Wostl and Imboden 1990).…”
Section: Study Sitementioning
confidence: 99%
“…We fit the productivity vs. light data for each individual set of measurements to the three-parameter function of Macedo and Duarte (2006) using the measured productivity at each light level and the PAR data from the incubation site:…”
Section: Study Sitementioning
confidence: 99%
“…Productivity models aim at describing the growth of algae and plants in a specific system, either through static (Eilers and Peeters, 1988) or dynamic (time-dependent) (Duarte and Ferreira, 1997) approaches, whereby the underlying mathematics is either empirical (Adams et al, 2017) or mechanistic (for a review see Macedo and Duarte, 2006). A major complication of the mechanistic approach is that its implementation requires extensive knowledge on the physiology and life history of the modeled species.…”
Section: Integrative Modeling-understanding the Past And Modeling Tmentioning
confidence: 99%