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  • 1
    Online Resource
    Online Resource
    Interdisciplinary Studies Integrating the Black Sea Biogeochemistry and Circulation Dynamics
    The Oceanography Society ; 2002
    In:  Oceanography Vol. 15, No. 3 ( 2002), p. 4-11
    Details
    In: Oceanography, The Oceanography Society, Vol. 15, No. 3 ( 2002), p. 4-11
    Type of Medium: Online Resource
    ISSN: 1042-8275
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.5670/oceanog.2002
    DOI: 10.5670/oceanog
    DOI: 10.5670/oceanog.2002.09
    Language: Unknown
    Publisher: The Oceanography Society
    Publication Date: 2002
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  • 2
    Online Resource
    Online Resource
    Modeling distinct vertical biogeochemical structure of the Black Sea: Dynamical coupling of the oxic, suboxic, and anoxic layers
    American Geophysical Union (AGU) ; 2000
    In:  Global Biogeochemical Cycles Vol. 14, No. 4 ( 2000-12), p. 1331-1352
    Details
    In: Global Biogeochemical Cycles, American Geophysical Union (AGU), Vol. 14, No. 4 ( 2000-12), p. 1331-1352
    Abstract: A one‐dimensional, vertically resolved, physical‐biogeochemical model is used to provide a unified representation of the dynamically coupled oxic‐suboxic‐anoxic system for the interior Black Sea. The model relates the annual cycle of plankton production in the form of a series of successive phytoplankton, mesozooplankton, and higher consumer blooms to organic matter generation and to the remineralization‐ammonification‐nitrification‐denitrification chain of the nitrogen cycle as well as to anaerobic sulfide oxidation in the suboxic‐anoxic interface zone. The simulations indicate that oxygen consumption during remineralization and nitrification, together with a lack of ventilation of subsurface waters due to the presence of strong stratification, are the two main factors limiting aerobic biogeochemical activity to the upper ∼75 m of the water column, which approximately corresponds to the level of nitrate maximum. The position of the upper boundary and thus the thickness of the suboxic layer are controlled by upper layer biological processes. The quasi‐permanent character of this layer and the stability of the suboxic‐anoxic interface within the last several decades are maintained by a constant rate of nitrate supply from the nitrate maximum zone. Nitrate is consumed to oxidize sinking particulate organic matter as well as hydrogen sulfide and ammonium transported upward from deeper levels.
    Type of Medium: Online Resource
    ISSN: 0886-6236 , 1944-9224
    URL: Article
    DOI: 10.1029/1999GB001253
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2000
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    SSG: 13
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  • 3
    Online Resource
    Online Resource
    A physical–biochemical model of plankton productivity and nitrogen cycling in the Black Sea
    Elsevier BV ; 1999
    In:  Deep Sea Research Part I: Oceanographic Research Papers Vol. 46, No. 4 ( 1999-4), p. 597-636
    Details
    In: Deep Sea Research Part I: Oceanographic Research Papers, Elsevier BV, Vol. 46, No. 4 ( 1999-4), p. 597-636
    Type of Medium: Online Resource
    ISSN: 0967-0637
    URL: Article
    DOI: 10.1016/S0967-0637(98)00074-0
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1999
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    detail.hit.zdb_id: 1146810-5
    SSG: 14
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  • 4
    Online Resource
    Online Resource
    Simulations of biological production in the Rhodes and Ionian basins of the eastern Mediterranean
    Elsevier BV ; 2000
    In:  Journal of Marine Systems Vol. 24, No. 3-4 ( 2000-3), p. 277-298
    Details
    In: Journal of Marine Systems, Elsevier BV, Vol. 24, No. 3-4 ( 2000-3), p. 277-298
    Type of Medium: Online Resource
    ISSN: 0924-7963
    URL: Article
    DOI: 10.1016/S0924-7963(99)00090-1
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2000
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    detail.hit.zdb_id: 1041191-4
    SSG: 14
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  • 5
    Online Resource
    Online Resource
    Modeling dense water mass formation and winter circulation in the northern and central Adriatic Sea
    Elsevier BV ; 1999
    In:  Journal of Marine Systems Vol. 20, No. 1-4 ( 1999-4), p. 279-300
    Details
    In: Journal of Marine Systems, Elsevier BV, Vol. 20, No. 1-4 ( 1999-4), p. 279-300
    Type of Medium: Online Resource
    ISSN: 0924-7963
    URL: Article
    DOI: 10.1016/S0924-7963(98)00087-6
    Language: English
    Publisher: Elsevier BV
    Publication Date: 1999
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    detail.hit.zdb_id: 1041191-4
    SSG: 14
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  • 6
    Online Resource
    Online Resource
    Simulations of phytoplankton seasonal cycle with multi-level and multi-layer physical-ecosystem models: the Black Sea example
    Elsevier BV ; 2001
    In:  Ecological Modelling Vol. 144, No. 2-3 ( 2001-10), p. 295-314
    Details
    In: Ecological Modelling, Elsevier BV, Vol. 144, No. 2-3 ( 2001-10), p. 295-314
    Type of Medium: Online Resource
    ISSN: 0304-3800
    URL: Article
    DOI: 10.1016/S0304-3800(01)00378-7
    RVK:
    AR 10100
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2001
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    detail.hit.zdb_id: 2000879-X
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Climatic warming and accompanying changes in the ecological regime of the Black Sea during 1990s : IMPACTS OF WARMING IN BLACK SEA
    American Geophysical Union (AGU) ; 2003
    In:  Global Biogeochemical Cycles Vol. 17, No. 3 ( 2003-09), p. n/a-n/a
    Details
    In: Global Biogeochemical Cycles, American Geophysical Union (AGU), Vol. 17, No. 3 ( 2003-09), p. n/a-n/a
    Type of Medium: Online Resource
    ISSN: 0886-6236
    URL: Article
    DOI: 10.1029/2003GB002031
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2003
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    SSG: 12
    SSG: 13
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  • 8
    Online Resource
    Online Resource
    Simulation of annual plankton productivity cycle in the Black Sea by a one‐dimensional physical‐biological model
    American Geophysical Union (AGU) ; 1996
    In:  Journal of Geophysical Research: Oceans Vol. 101, No. C7 ( 1996-07-15), p. 16585-16599
    Details
    In: Journal of Geophysical Research: Oceans, American Geophysical Union (AGU), Vol. 101, No. C7 ( 1996-07-15), p. 16585-16599
    Abstract: The annual cycle of the plankton dynamics in the central Black Sea is studied by a one‐dimensional vertically resolved physical‐biological upper ocean model, coupled with the Mellor‐Yamada level 2.5 turbulence closure scheme. The biological model involves interactions between the inorganic nitrogen (nitrate, ammonium), phytoplankton and herbivorous zooplankton biomasses, and detritus. Given a knowledge of physical forcing, the model simulates main observed seasonal and vertical characteristic features, in particular, formation of the cold intermediate water mass and yearly evolution of the upper layer stratification, the annual cycle of production with the fall and the spring blooms, and the subsurface phytoplankton maximum layer in summer, as well as realistic patterns of particulate organic carbon and nitrogen. The computed seasonal cycles of the chlorophyll and primary production distributions over the euphotic layer compare reasonably well with the data. Initiation of the spring bloom is shown to be critically dependent on the water column stability. It commences as soon as the convective mixing process weakens and before the seasonal stratification of surface waters begins to develop. It is followed by a weaker phytoplankton production at the time of establishment of the seasonal thermocline in April. While summer nutrient concentrations in the mixed layer are low enough to limit production, the layer between the thermocline and the base of the euphotic zone provides sufficient light and nutrient to support subsurface phytoplankton development. The autumn bloom takes place sometime between October and December depending on environmental conditions. In the case of weaker grazing pressure to control the growth rate, the autumn bloom shifts to December–January and emerges as the winter bloom, or, in some cases, is connected with the spring bloom to form one unified continuous bloom structure during the January–March period. These bloom structures are similar to the year‐to‐year variabilities present in the data.
    Type of Medium: Online Resource
    ISSN: 0148-0227
    URL: Article
    DOI: 10.1029/96JC00831
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 1996
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    detail.hit.zdb_id: 2969341-X
    detail.hit.zdb_id: 161665-1
    detail.hit.zdb_id: 3094268-8
    detail.hit.zdb_id: 710256-2
    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 3094181-7
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    SSG: 16,13
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  • 9
    Online Resource
    Online Resource
    Modeling the response of top‐down control exerted by gelatinous carnivores on the Black Sea pelagic food web
    American Geophysical Union (AGU) ; 2001
    In:  Journal of Geophysical Research: Oceans Vol. 106, No. C3 ( 2001-03-15), p. 4543-4564
    Details
    In: Journal of Geophysical Research: Oceans, American Geophysical Union (AGU), Vol. 106, No. C3 ( 2001-03-15), p. 4543-4564
    Abstract: Recent changes in structure and functioning of the interior Black Sea ecosystem are studied by a series of simulations using a one‐dimensional, vertically resolved, coupled physical‐biochemical model. The simulations are intended to provide a better understanding of how the pelagic food web structure responds to increasing grazing pressure by gelatinous carnivores (medusae Aurelia aurita and ctenophore Mnemiopsis leidyi ) during the past 2 decades. The model is first shown to represent typical eutrophic ecosystem conditions of the late 1970s and early 1980s. This simulation reproduces reasonably well the observed planktonic food web structure at a particular location of the Black Sea for which a year‐long data set is available from 1978. Additional simulations are performed to explore the role of the Mnemiopsis ‐dominated ecosystem in the late 1980s. They are also validated by extended observations from specific years. The results indicate that the population outbreaks of the gelatinous species, either Aurelia or Mnemiopsis , reduce mesozooplankton grazing and lead to increased phytoplankton blooms as observed throughout the 1980s and 1990s in the Black Sea. The peaks of phytoplankton, mesozooplankton, Noctiluca , and gelatinous predator biomass distributions march sequentially as a result of prey‐predator interactions. The late winter diatom bloom and a subsequent increase in mesozooplankton stocks are robust features common to all simulations. The autotrophs and heterotrophs, however, have different responses during the rest of the year, depending on the nature of grazing pressure exerted by the gelatinous predators. In the presence of Mnemiopsis , phytoplankton have additional distinct and pronounced bloom episodes during the spring and summer seasons. These events appear with a 2 month time shift in the ecosystem prior to introduction of Mnemiopsis .
    Type of Medium: Online Resource
    ISSN: 0148-0227
    URL: Article
    DOI: 10.1029/1999JC000078
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2001
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    detail.hit.zdb_id: 161665-1
    detail.hit.zdb_id: 3094268-8
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    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 3094181-7
    detail.hit.zdb_id: 3094219-6
    detail.hit.zdb_id: 3094167-2
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    SSG: 16,13
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  • 10
    Online Resource
    Online Resource
    Seasonal variability of wind and thermohaline‐driven circulation in the Black Sea: Modeling studies
    American Geophysical Union (AGU) ; 1996
    In:  Journal of Geophysical Research: Oceans Vol. 101, No. C7 ( 1996-07-15), p. 16551-16569
    Details
    In: Journal of Geophysical Research: Oceans, American Geophysical Union (AGU), Vol. 101, No. C7 ( 1996-07-15), p. 16551-16569
    Abstract: The seasonal variability of the Black Sea circulation is studied using an eddy‐resolving primitive equation model. A series of numerical experiments is carried out to determine the relative importance of wind stress, air‐sea thermohaline fluxes, and river‐induced lateral buoyancy forcing in driving the circulation on the monthly and seasonal timescales. A synthesis is made of the results with those obtained under yearly climatological conditions by Oguz et al. [1995] to assess whether the major circulation features are a response to the yearly forcings or are dominated by the seasonal cy cle. The model experiments indicate that under all forcing mechanisms, the overall basin circulation is characterized by a very strong seasonal cycle dominating the yearly signal described by Oguz et al. [1995]. The purely wind‐driven circulation reveals most of the observed circulation features including a well‐defined meandering boundary current system and subbasin scale cyclonic gyres forming the interior flow structure of the basin. Topography obviously remains a crucial factor in controlling the pattern of the persistent rim current system all year long. The dynamical instabilities of the rim current produce strong meandering and mesoscale eddies which often modulate the basin and subbasin scale structures of the circulation. The surface thermohaline fluxes generate simpler circulation patterns with a comparable strength but mostly in the opposite direction to the wind‐driven circulation. Two important by‐products emerge from the present work. First is the necessity of reanalyzing the heat flux climatology. The existing surface thermohaline fluxes, even though not affecting critically the general characteristics of the surface circulation patterns, may induce rather unrealistic horizontal temperature distributions and water mass properties in the surface layer. Second, the role of the northwestern shelf in the cold intermediate water (CIW) mass formation process is shown to be secondary during moderate‐to‐high winter discharge conditions from the northwestern rivers. In these conditions the freshwater outflow reduces the density of the cold water formed on the shelf by about 1 kg/m 3 as compared with that of the basin interior, which is the major reservoir for the formation of the winter CIW.
    Type of Medium: Online Resource
    ISSN: 0148-0227
    URL: Article
    DOI: 10.1029/96JC01093
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 1996
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    detail.hit.zdb_id: 2016800-7
    detail.hit.zdb_id: 161666-3
    detail.hit.zdb_id: 161667-5
    detail.hit.zdb_id: 2969341-X
    detail.hit.zdb_id: 161665-1
    detail.hit.zdb_id: 3094268-8
    detail.hit.zdb_id: 710256-2
    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 3094181-7
    detail.hit.zdb_id: 3094219-6
    detail.hit.zdb_id: 3094167-2
    detail.hit.zdb_id: 2220777-6
    detail.hit.zdb_id: 3094197-0
    SSG: 16,13
    Location Call Number Limitation Availability
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