Modeling iron limitation of primary production in the coastal Gulf of Alaska

Fiechter, Jérôme; Moore, Andrew M.; Edwards, Christopher A.; Bruland, Kenneth W.; Lorenzo, Emanuele Di; Lewis, Craig V.W.; Powell, Thomas M.; Curchitser, Enrique N.; Hedstrom, Kate

doi:10.1016/j.dsr2.2009.02.010

Cited by 60 publications

(38 citation statements)

References 39 publications

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“…In the Gulf of Alaska (GOA), modeled surface Chl, C, and PP exhibit much stronger variability than those in the satellite data with standard deviation (std) ratios of 2.45, 4.31, and 1.93, respectively. Previous studies have suggested that two phytoplankton blooms found in the GOA [e.g., Brickley and Thomas , 2004; Fiechter et al , 2009]. The first one is spring bloom and the second one is summer‐fall bloom.…”

Section: Resultsmentioning

confidence: 99%

Spatial and temporal variability in phytoplankton carbon, chlorophyll, and nitrogen in the North Pacific

Xiu

Chai

2012

J. Geophys. Res.

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[1] Carbon, nitrogen, and chlorophyll are three commonly used variables to quantify phytoplankton productivity. However, owing to the complex effect of light, temperature, and nutrient, these three variables are usually decoupled from each other. By implementing a biogeochemical model that treats phytoplankton carbon, nitrogen, and chlorophyll separately in a Pacific basin-scale circulation model, we have investigated the physical and biogeochemical controls on phytoplankton C:Chl and C:N ratios at different scales. The model reproduces the general features of phytoplankton dynamics in the Pacific basin. Model results indicate a region dependent pattern of driving mechanisms for C:Chl ratio, where C:Chl is largely controlled by light condition in high latitude, by light and nutrient levels in midlatitude, and by nutrient and temperature in the equatorial Pacific, while C:N ratio seems to be region independent and is mostly determined by nutrient and temperature. Pacific basin-scale empirical orthogonal functions (EOF) decompositions suggest both C:Chl and C:N are regulated by the El Niño/Southern Oscillation (ENSO) events to the first-order variability. Owing to the variation of C:Chl, the decoupling between phytoplankton carbon and chlorophyll exists, especially at seasonal and long-term temporal scales. Climate change can affect phytoplankton pigment, biomass, and physiological state. As a consequence, using chlorophyll as a proxy for phytoplankton biomass to interpret decadal variation or long-term trend might be with bias.

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Section: Resultsmentioning

confidence: 99%

Spatial and temporal variability in phytoplankton carbon, chlorophyll, and nitrogen in the North Pacific

Xiu

Chai

2012

J. Geophys. Res.

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“…This ocean circulation model has been applied in a number of regional simulations of plankton ecosystem dynamics (e.g. Gruber et al, 2006;Fiechter et al, 2009;Coyle et al, 2012).…”

Section: Model Descriptionmentioning

confidence: 99%

Annual plankton dynamics in a coupled physical–biological model of the Strait of Georgia, British Columbia

Peña

Masson

Callendar

2016

Progress in Oceanography

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“…In addition, chemical leaching technique to estimate the biologically available (labile) iron is quite different between marine suspended particles and atmospheric dust (Berger et al 2008;Boyd et al 2009). Therefore, bioavailability and reactivity of particulate iron cannot be generalized, and elucidation of key processes that regulate the production of suspended iron particles over the continental margin as well as the transformation during lateral transport is a big challenge for both biogeochemists and modelers (Lam et al 2006;Moore and Braucher 2008;Fiechter et al 2009). In addition, organic ligands should have interaction with both dissolved and particulate iron, but the measure sources of iron-complexing ligands in the surface/subsurface waters are still unknown.…”

Section: Summary and A View To The Futurementioning

confidence: 99%

Iron and Phytoplankton Growth in the Subarctic North Pacific

Takeda¹

2011

Aqua-BioSci. Monogr. (ABSM)

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Modeling iron limitation of primary production in the coastal Gulf of Alaska

Cited by 60 publications

References 39 publications

Spatial and temporal variability in phytoplankton carbon, chlorophyll, and nitrogen in the North Pacific

Spatial and temporal variability in phytoplankton carbon, chlorophyll, and nitrogen in the North Pacific

Annual plankton dynamics in a coupled physical–biological model of the Strait of Georgia, British Columbia

Iron and Phytoplankton Growth in the Subarctic North Pacific

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