Simulation of eddy‐driven phytoplankton production in the Black Sea

Oğuz, Temel; Salihoğlu, Barıș

doi:10.1029/1999gl011083

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Nitrogen fixation and submesoscale processes can provide allochthonous nutrients for new production (Glover et al, ; Kolber, ; Lévy et al, ; McGillicuddy et al, ; Moore et al, ). Nutrient pumping induces an enhancement of phytoplankton biomass, community succession, and primary production, especially in the oligotrophic subtropical ocean (Eden & Dietze, ; Landry et al, ; Lévy et al, ; MacFadyen et al, ; McGillicuddy et al, ; Oguz & Salihoglu, ; Painter et al, ). These effects are easily explained in the case of a cyclonic eddy based on the doming of its isopycnals and nutricline.…”

Section: Introductionmentioning

confidence: 99%

“…Eddies are classified into cyclonic eddies, anticyclonic eddies (ACEs), and mode-water eddies (McGillicuddy et al, 1999(McGillicuddy et al, , 2007. succession, and primary production, especially in the oligotrophic subtropical ocean (Eden & Dietze, 2009;Landry et al, 2008;Lévy et al, 2009;MacFadyen et al, 2008;McGillicuddy et al, 2007;Oguz & Salihoglu, 2000;Painter et al, 2010). These effects are easily explained in the case of a cyclonic eddy based on the doming of its isopycnals and nutricline.…”

Section: Introductionmentioning

confidence: 99%

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Anticyclonic Eddy Edge Effects on Phytoplankton Communities and Particle Export in the Northern South China Sea

et al. 2018

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We examined response of phytoplankton total chlorophyll a (TChl a) and community composition to three coherent anticyclonic eddies (ACEs) observed during a cruise to the northern South China Sea on 28 July to 7 August 2007. Photosynthetic pigments were measured to estimate the contribution of nine phytoplankton groups to TChl a. Although the water column‐integrated TChl a inventory in the upper 100 m was very similar among the three ACEs (17.6–18.9 mg/m2) we observed during the cruise, there were remarkable enhancements in biomasses at the eddy edges. TChl a inventory was 20.8 ± 3.0 mg/m2 at the edge, which was 33% or 60% higher than at the center and reference. The greatest enhancement of the TChl a at edge was attributed to haptophyte‐8, which was 1.6 and 2.2 times the analogous concentrations at the center and reference sites. The Prochlorococcus Chl a was ~50% greater at the edge relative to the reference and was intermediate at the center. Diatom Chl a at the edge was ~2.5 times the concentrations at the center and reference sites. The positive correlation between particulate organic carbon flux and haptophyte‐8 Chl a at the edge implied an important role of haptophyte‐8 in particle export productivity. It is interesting to note that there occurred higher fluxes of biogenic Si at the center of the ACEs due likely to lateral transport of diatoms from the edge. The phenomenon of higher TChl a at the edge but higher export at the center may have been the combined result of vertical convection and lateral transport within the eddies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anticyclonic Eddy Edge Effects on Phytoplankton Communities and Particle Export in the Northern South China Sea

et al. 2018

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“…The Black Sea has strong mesoscale and synoptic variability, such as in the Rim current on the shelves (Ozsoy and Unluata, 1997;Oguz et al, 2002a), that greatly affects the spatial and temporal variability of chlorophyll-a concentration. Based on numerical simulation and analysis of the SeaWiFS images, Oguz and Salihoglu (2000) show that the mesoscale features can control patchiness and intensity of chlorophyll-a concentration ranging between 1 and 3 mg m À3 during the spring bloom. As the first guess, we may parameterize this variability as red noise with a correlation radius R cor (Thiebaux and Pedder, 1987).…”

Section: Unresolved-scale Errorsmentioning

confidence: 99%

Seasonal variability of the Black Sea chlorophyll-a concentration

Chu

Ivanov

Margolina

2005

Journal of Marine Systems

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“…Some of them used very simplified physics (e.g., the evolution of the mixed layer depth only) and studied the ecological processes as averaged within the surface mixed layer (Eeckhout and Lancelot 1997;Oguz et al 2001;Lancelot et al 2002). There are some studies in which the ecological model is coupled with a 3-dimensional hydrodynamical model (e.g., Grégoire et al 1997;Oguz and Salihoglu 2000;Staneva et al 2003;Grégoire et al 2004;Tsiaras et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Variability of the North-Western Black Sea Ecosystem

Staneva¹,

Kourafalou²,

Tsiaras³

2010

Terr. Atmos. Ocean. Sci.

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This study describes the coupling between physical and biogeochemical models and analyses the response of the ecosystem in the northwestern Black Sea to nutrient loads and climate changes. The basic physical and biological dynamics of the upper northwestern Black Sea is illustrated as well. The physical model is based on the Princeton Ocean Model (POM); additionally, a parameterisation of mixed layer is included. The biogeochemical model is based on the European Regional Sea Ecosystem Model (ERSEM) and consists of five modules: (1) primary producers, (2) microbial loop, (3) mesozooplankton, (4) benthic nutrients, and (5) benthic biology. The ecosystem in ERSEM is subdivided into three functional types, producers (phytoplankton), decomposers (pelagic and benthic bacteria) and consumers (zooplankton and zoobenthos). Model-data comparisons have been performed for both calibrating and verifying coupled model simulations. We address here the impact of nutrient discharge from the Danube River on the functioning of the biological system. The evolution of the mixed layer, as well as the response of the biological system to variability of the nutrient discharge from the Danube River is described in detail. Several scenarios have been developed to study the impact which nutrient reduction has on the coastal marine system. The model predictions indicate that the biological system is very sensitive to the changes in nutrient concentrations, as well as to their ratios.

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Simulation of eddy‐driven phytoplankton production in the Black Sea

Cited by 12 publications

References 9 publications

Anticyclonic Eddy Edge Effects on Phytoplankton Communities and Particle Export in the Northern South China Sea

Anticyclonic Eddy Edge Effects on Phytoplankton Communities and Particle Export in the Northern South China Sea

Seasonal variability of the Black Sea chlorophyll-a concentration

Seasonal and Interannual Variability of the North-Western Black Sea Ecosystem

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