Eddy-resolving simulation of plankton ecosystem dynamics in the California Current System

Gruber, Nicolas; Frenzel, Hartmut; Doney, Scott C.; Marchesiello, Patrick; McWilliams, James C.; Moisan, John R.; Oram, J. J.; Plattner, Gian‐Kasper; Stolzenbach, Keith D.

doi:10.1016/j.dsr.2006.06.005

Cited by 176 publications

(189 citation statements)

References 68 publications

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“…Simpler models have shown reasonable distributions of overall chlorophyll levels (Gruber et al, 2006;Omta et al, 2009) and decorrelation statistics of physical and biological fields (Powell et al, 2006). As Goebel et al (2010) note, this self-assembling ecosystem model enables a study of biogeography that is not possible with a more traditional model.…”

Section: The Diversity-productivity Scattermentioning

confidence: 99%

Modeled phytoplankton diversity and productivity in the California Current System

Goebel

Edwards

Zehr

et al. 2013

Ecological Modelling

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a b s t r a c tWe explore the phytoplankton community structure and the relationship between phytoplankton diversity and productivity produced by a self-emergent ecosystem model that represents a large number of phytoplankton type and is coupled to a circulation model of the California Current System. Biomass of each modeled phytoplankton type, when averaged over the uppermost model level and for 5-years, spans 7 orders of magnitude; 13 phytoplankton types contribute to the top 99.9% of community biomass, defining modeled species richness. Instantaneously, modeled species richness ranges between 1 and 17 while the Shannon index reaches values of 2.3. Diversity versus primary productivity shows large scatter with low species richness at both high and low productivity levels and a wide range of values including the maximum at intermediate productivities. Highest productivity and low diversity is found in the nearshore upwelling region dominated by fast growing diatoms; lowest productivity and low diversity occurs in deep, light-limited regions; and intermediate productivity and high diversity characterize offshore, oligotrophic surface waters. Locally averaged diversity and productivity covary in time with the sign of correlation dependent on geographic region as representing portions of the diversity-productivity scatter.

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Section: The Diversity-productivity Scattermentioning

confidence: 99%

Modeled phytoplankton diversity and productivity in the California Current System

Goebel

Edwards

Zehr

et al. 2013

Ecological Modelling

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“…The variable θ describes the proportion of photosynthetically fixed carbon that is used for chlorophyll-a biosynthesis considering the model of Geider et al (1997). Its implementation in the ocean model is described in Gruber et al (2006). The configuration of the NPZD model used here is the same as that applied in Marta-Almeida et al (2012), which described its operational implementation and made a first model skill assessment for a trial period.…”

Section: Biogeochemical Modelmentioning

confidence: 99%

“…In this respect ocean modeling can contribute to improve the current knowledge of the Iberian plankton ecosystem, complementing the spatial and temporal constraints of observations. Coupled physical--biogeochemical ocean models are useful to study the physical--biological interactions and help to understand their influence on the seasonal evolution and the variability and distribution of biogeochemical properties, as seen for other coastal upwelling systems such as California (Gruber et al, 2006;Moisan and Hofmann, 1996;Powell et al, 2006), Humboldt (Echevin et al, 2008), and Benguela (Koné et al, 2005;Machu et al, 2005).…”

Section: Elsevier_marsys_2604mentioning

confidence: 99%

“…The inclusion of θ tried to represent the expected increase in photosynthesis when phytoplankton cells allocate a higher percentage of their structure to the photosynthetic apparatus (higher θ), which seems to occur in nearly nutrient-replete regions such as the upwelling zone or in the proximity of the sub-surface chlorophyll maximum (Gruber et al, 2006). PAR refers to in situ PAR, and α is the initial slope of the growth versus light relationship.…”

Section: Elsevier_marsys_2604mentioning

confidence: 99%

“…Seasonal vertical profiles were created from these surface concentrations using the algorithm of Morel and Berthon (1989). The initial and boundary values of phytoplankton and zooplankton were derived from chlorophyll-a (Phyt = 0.5 ⋅ Chl; Zoo = 0.2 ⋅ Chl), as in Gruber et al (2006). Detritus was not available from climatological datasets, so it was introduced constant (initial and boundary conditions) with the value 0.02 mmol N m -− 3 , as in Gruber et al (2006).…”

Section: Elsevier_marsys_2604mentioning

confidence: 99%

See 2 more Smart Citations

Seasonal cycle of plankton production in the Iberian margin based on a high resolution ocean model

Reboreda

Nolasco

Castro

et al. 2014

Journal of Marine Systems

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A model‐based insight into the coupling of nitrogen and sulfur cycles in a coastal upwelling system

et al. 2014

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The biogeochemical cycling in oxygen-minimum zones (OMZs) is dominated by the interactions of microbial nitrogen transformations and, as recently observed in the Chilean upwelling system, also through the energetically less favorable remineralization of sulfate reduction. The latter process is masked, however, by rapid sulfide oxidation, most likely through nitrate reduction. Thus, the cryptic sulfur cycle links with the nitrogen cycle in OMZ settings. Here, we model the physical-chemical water column structure and the observed process rates as driven by formation and sinking of organic detritus, to quantify the nitrogen and sulfur cycles in the Chilean OMZ. A new biogeochemical submodule was developed and coupled to the Regional Ocean Model System (ROMS). The model results generally agree with the observed distribution of reactive species and the measured process rates. Modeled heterotrophic nitrate reduction and sulfate reduction are responsible for 47% and 36%, respectively, of organic remineralization in a 150 m deep zone below mixed layer. Anammox contributes to 61% of the fixed nitrogen lost to N2 gas, while the rest of the loss is through canonical denitrification as a combination of organic matter oxidation by nitrite reduction and sulfide-driven denitrification. Mineralization coupled to heterotrophic nitrate reduction supplies ∼48% of the ammonium required by anammox. Due to active sulfate reduction, model results suggest that sulfide-driven denitrification contributes to 36% of the nitrogen loss as N2 gas. Our model results highlight the importance of considering the coupled nitrogen and sulfur cycle in examining open-ocean anoxic processes under present, past, and future conditions.

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Eddy-resolving simulation of plankton ecosystem dynamics in the California Current System

Abstract: We study the dynamics of the planktonic ecosystem in the coastal upwelling zone within the California Current System using a three-dimensional, eddy-resolving cir-

Cited by 176 publications

References 68 publications

Modeled phytoplankton diversity and productivity in the California Current System

Modeled phytoplankton diversity and productivity in the California Current System

Seasonal cycle of plankton production in the Iberian margin based on a high resolution ocean model

A model‐based insight into the coupling of nitrogen and sulfur cycles in a coastal upwelling system

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