Modeling the response of top‐down control exerted by gelatinous carnivores on the Black Sea pelagic food web

Oğuz, Temel; Ducklow, Hugh W.; Purcell, Jennifer E.; Malanotte‐Rizzoli, Paola

doi:10.1029/1999jc000078

Cited by 80 publications

(56 citation statements)

References 65 publications

(5 reference statements)

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“…Gelatinous zooplankton have been previously linked to blooms of plankton, but data have been correlative and it is difficult, therefore, to attribute causation (Schneider & Behrends 1998, Fock & Greve 2002, Oguz et al 2001. For example, modeling of trophic interactions in the Black Sea indicates that phytoplankton blooms are especially pronounced when gelatinous predators are abundant (Oguz et al 2001).…”

Section: Discussionmentioning

confidence: 99%

Jellyfish modify the response of planktonic assemblages to nutrient pulses

Pitt¹,

Kingsford²,

Rissik³

et al. 2007

Mar. Ecol. Prog. Ser.

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The short-term effects of pulses of nutrients and jellyfish Catostylus mosaicus on planktonic assemblages were investigated in field-based experiments using 3 m 3 mesocosms. Experiments ran for 5 d and were repeated in autumn and spring at Lake Illawarra, a coastal lagoon in New South Wales, Australia. Experiments consisted of 2 orthogonal treatments, addition/non-addition of nutrients and presence/absence of jellyfish, and were designed to determine how bottom-up (i.e. addition of nutrients) and top-down (i.e. predation by jellyfish) processes influence planktonic assemblages, both independently and in combination. During both experiments, nutrients stimulated primary production and caused changes in phytoplankton assemblages. Nutrients also stimulated production of large tintinnids, suggesting that bottom-up processes may influence 2 trophic levels. Mesozooplankton were consistently depleted in mesocosms containing jellyfish. Jellyfish also caused changes in microzooplankton assemblages, indicating that top-down processes also cascade to at least 2 trophic levels. In mesocosms to which both nutrients and jellyfish were added during spring, concentrations of the red-tide forming, heterotrophic dinoflagellate Noctiluca scintillans were 20 times greater than in mesocosms to which nutrients were added alone. We hypothesize that addition of nutrients stimulated production of centric diatoms, the main prey of N. scintillans, but that a bloom of N. scintillans only formed when jellyfish were also present because jellyfish grazed on populations of herbivorous mesozooplankton (particularly the calanoid copepod Gladioferens), which generally out-competed N. scintillans for diatom prey. These data provide the first empirical evidence linking jellyfish to the formation of red tides.

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Section: Discussionmentioning

confidence: 99%

Jellyfish modify the response of planktonic assemblages to nutrient pulses

Pitt¹,

Kingsford²,

Rissik³

et al. 2007

Mar. Ecol. Prog. Ser.

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“…Medusae may exert top-down control over marine ecosystems (Schneider & Behrends 1998, Oguz et al 2001, and previous studies have suggested that jellyfish may impact on herring larval survival directly and indirectly through predation on ichthyoplankton and zooplankton (Bailey 1984, Möller 1984, Purcell 2003. Whether or not these interactions between jellyfish and finfish have any measurable long-term impact on populations of either is as yet unknown, but it has been suggested that the overexploitation of fish stocks could increase prey availability and release jellyfish from competitively imposed restrictions on population abundance, which may exacerbate any detrimental effect (Pauly et al 1998, Sommer et al 2002.…”

Section: Discussionmentioning

confidence: 99%

Evidence for impacts by jellyfish on North Sea herring recruitment

Lynam

Heath²,

Hay³

et al. 2005

Mar. Ecol. Prog. Ser.

122

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“…The 3D biogeochemical model coupled with the circulation model is based on the one given by Oguz et al (2001). It has one-way coupling with circulation model through current velocity, temperature, salinity and turbulent diffusivity.…”

Section: Ecosystem Modelmentioning

confidence: 99%

“…19 (left panel). This nitrate concentration is derived by averaging over 4 yr the nitrate fields computed by basin, respectively, during the late 1970s and early 1980s (after Oguz et al, 2001). The model data were chosen approximately at same places during 1978 year.…”

Section: Calibration Of the Ecosystem Modelmentioning

confidence: 99%

“…The data for phytoplankton and mesozooplankton biomass are taken from measurements carried out at 2-4 weeks intervals during January-December 1978 at a station, off Gelendzhik along the Caucasian coast. The Noctiluca and Aurelia biomass data are taken from measurements on the Romanian shelf and the interior basin, respectively, during the late 1970s and early 1980s (after Oguz et al, 2001). The model data were chosen approximately at same places during 1978 year.…”

Section: Calibration Of the Ecosystem Modelmentioning

confidence: 99%

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Development of Black Sea nowcasting and forecasting system

et al. 2011

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Abstract. The paper presents the development of the Black Sea community nowcasting and forecasting system under the Black Sea GOOS initiative and the EU framework projects ARENA, ASCABOS and ECOOP. One of the objectives of the Black Sea Global Ocean Observing System project is a promotion of the nowcasting and forecasting system of the Black Sea, in order to implement the operational oceanography in the Black Sea region. The first phase in the realization of this goal was the development of the pilot nowcasting and forecasting system of the Black Sea circulation in the framework of project ARENA funded by the EU. The ARENA project included the implementation of advanced modeling and data assimilation tools for near real time prediction. Further progress in development of the Black Sea nowcasting and forecasting system was made in the frame of ASCABOS project, which was targeted at strengthening the communication system, ensuring flexible and operative infrastructure for data and information exchange between the Black Sea partners and end-users. The improvement of the system was made in the framework of the ECOOP project. As a result it was transformed into a real-time mode operational nowcasting and forecasting system. The paper provides the general description of the main parts of the system: circulation and ecosystem models, data assimilation approaches, the system architecture as well as their qualitative and quantitative calibrations.

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Modeling the response of top‐down control exerted by gelatinous carnivores on the Black Sea pelagic food web

Cited by 80 publications

References 65 publications

Jellyfish modify the response of planktonic assemblages to nutrient pulses

Jellyfish modify the response of planktonic assemblages to nutrient pulses

Evidence for impacts by jellyfish on North Sea herring recruitment

Development of Black Sea nowcasting and forecasting system

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