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  • 1
    In: Journal of marine systems, New York, NY [u.a.] : Elsevier, 1990, 74(2008), 1/2, Seite 329-342, 0924-7963
    In: volume:74
    In: year:2008
    In: number:1/2
    In: pages:329-342
    Beschreibung / Inhaltsverzeichnis: We employed a coupled biologicalphysical, individual-based model (IBM) to estimate spatial and temporal changes in larval fish habitat suitability (the potential for areas to support survival and high rates of growth) of the German Bight, southern North Sea. In this Lagrangian approach, larvae were released into a size-structured prey field that was constructed from in situ measurements of the abundance and prosome lengths of stages of three copepods (Acartia spp., Temora longicornis, Pseudocalanus elongatus) collected on a station grid repeatedly sampled from February to October 2004. The choice of prey species and the model parameterisations for larval fish foraging and growth were based on field data collected for sprat (Sprattus sprattus) and other clupeid larvae. A series of 10-day simulations were conducted using 20 release locations to quantify spatialtemporal differences in projected larval sprat growth rates (mm d- 1) for mid-April, mid-May and mid-June 2004. Based upon an optimal foraging approach, modeled sprat growth rates agreed well with those measured in situ using larval fish ototliths. On the German GLOBEC station grid, our model predicted areas that were mostly unsuitable habitats (areas of low growth potential), e.g. north of the Frisian Islands, and others that were consistently suitable habitats (areas that had high growth potential), e.g. in the inner German Bight. In some instances, modelled larvae responded rapidly (~ 5 days) to changing environmental characteristics experienced along their drift trajectory, a result that appears reasonable given the dynamic nature of frontal regions such as our study area in the southern North Sea.
    Materialart: Online-Ressource
    Seiten: graph. Darst.
    ISSN: 0924-7963
    Sprache: Englisch
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  • 2
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: von Dewitz, Burkhard; Tamm, Susanne; Höflich, Katharina; Voss, Rüdiger; Hinrichsen, Hans-Harald (2018): Use of existing hydrographic infrastructure to forecast the environmental spawning conditions for Eastern Baltic cod. PLoS ONE, 13(5), e0196477, https://doi.org/10.1371/journal.pone.0196477
    Publikationsdatum: 2023-02-18
    Beschreibung: This data set contains several tables with modeled and measured data and also correlations coefficient data used in the publication. The model data are aggregations of areas in the Arkona Basin (AB) and Bornholm Basin (BB) from the Kiel Baltic Sea Ice and Ocean model (BSIOM) for the period 1971 to 2015. See the puplication for details about horizontal aggregation. Raw Data of the Model is not included in this data deposition, but are given by the authors upon request and when credited in any use of the data. Monthly Means of the AB and BB are used for detailed correlation analysis with time lags (raw data is given in the files "ModelData_O2_BornholmBasin_MM_ModelDepths.." and "ModelData_S_ArkonaBasin_MM_modelDepths.."). Resulting data of all combinations for depth layers in either Basin, and Monthly lags up to a full year, is given in the "ModelData_correlation_ABMM_vs_BBMM.txt" file. Monthly profiles of the Bornholm Basin were also used to produce monthly means of S,T,O2 and cod egg survival chances on certain levels of water density (1009, 1010, 1011, 1012 and 1013 kg/m^3) given in the file "ModelData_O2_BornholmBasin_MM_onDensLayers.txt" Model data for the Bornholm Basin were also used to produce a time series of daily resolution of the mean oxygen content below the halocline. Data is given in the file "ModelData_O2_BornholmBasin_DM_rough_layers.txt" Measured salinity at the 33m depth level in a daily resolution is taken from the Arkona Basin platform (permanent measuring buoy) operated by the Federal Maritime and Hydrography Agency, Hamburg, Germany. Given in file "Measured_S_ArkonaBasin_DM_33m_corrected.txt"
    Schlagwort(e): File content; File format; File name; File size; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 3
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    PANGAEA
    In:  World Data Center for Marine Environmental Sciences
    Publikationsdatum: 2023-05-12
    Beschreibung: The international Global Ocean Ecosystem Dynamics (GLOBEC) programme was initiated in 1991 by the Scientific Committee on Oceanic Research (SCOR) and the Intergovernmental Oceanographic Commission (IOC) of the UNESCO. It was a core project of the International Geosphere-Biosphere Project (IGBP) with its research topics aiming at understanding how global change impacts abundance, diversity and productivity of marine populations (Barange & Harris 2003). GLOBEC-Germany was the national German contribution to this core project focussing on the Baltic Sea and North Sea, to which Germany has adjoining coastlines. The two seas exhibit a gradient from marine (North Sea) to almost fresh water conditions (outer ends of the Baltic Sea). Main topic of the project was the investigation of interactions between zooplankton and fish under the influence of physical processes (Alheit 2004). Main sampling areas were located in the southern North Sea and German Bight, as well as in the Bornholm Basin in the Baltic Sea (Tamm et al. 2007).
    Schlagwort(e): Global Ocean Ecosystem Dynamics; GLOBEC
    Materialart: Dataset
    Format: application/octet-stream, 183.3 MBytes
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  • 4
    Publikationsdatum: 2022-04-26
    Beschreibung: The semi-enclosed nature and estuarine characteristics, together with its strongly alternating bathymetry, make the Baltic Sea prone to much stronger interannual variations in the abiotic environment, than other spawning habitats of Atlantic cod (Gadus morhua). Processes determining salinity and oxygen conditions in the basins are influenced both by long term gradual climate change, e.g. global warming, but also by short-term meteorological variations and events. Specifically one main factor influencing cod spawning conditions, the advection of highly saline and well-oxygenated water masses from the North Sea, is observed in irregular frequencies and causes strong interannual variations in stock productivity. This study investigates the possibility to use the available hydrographic process knowledge to predict the annual spawning conditions for Eastern Baltic cod in its most important spawning ground, the Bornholm Basin, only by salinity measurements from a specific location in the western Baltic. Such a prediction could serve as an environmental early warning indicator to inform stock assessment and management. Here we used a hydrodynamic model to hindcast hydrographic property fields for the last 40+ years. High and significant correlations were found for months early in the year between the 33m salinity level in the Arkona Basin and the oxygen-dependent cod spawning environment in the Bornholm Basin. Direct prediction of the Eastern Baltic cod egg survival in the Bornholm Basin based on salinity values in the Arkona Basin at the 33 m depth level is shown to be possible for eggs spawned by mid-age and young females, which currently predominate the stock structure. We recommend to routinely perform short-term predictions of the Eastern Baltic cod spawning environment, in order to generate environmental information highly relevant for stock dynamics. Our statistical approach offers the opportunity to make best use of permanently existing infrastructure in the western Baltic to timely provide scientific knowledge on the spawning conditions of Eastern Baltic cod. Furthermore it could be a tool to assist ecosystem-based fisheries management with a cost-effective implementation by including the short term predictions as a simple indicator in the annual assessments.
    Materialart: Article , PeerReviewed
    Format: text
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  • 5
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    Unbekannt
    Alfred Wegener Institute for Polar and Marine Research
    In:  EPIC3WDC-MARE Reports, Alfred Wegener Institute for Polar and Marine Research, 7(CD-ROM), pp. 1-27, ISSN: 1611-6577
    Publikationsdatum: 2019-07-17
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , notRev
    Format: application/pdf
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  • 6
    Publikationsdatum: 2021-12-23
    Beschreibung: Si listano le singole sezioni in cui S.Simoncelli ha contribuito. Ogni sezione puo' essere citata separatamente dal report 1.1 Ocean temperature and salinity S. Mulet, B. Buongiorno Nardelli, S. Good, A. Pisano, E. Greiner, M. Monier E. Autret, L. Axell, F. Boberg, S. Ciliberti, M. Drévillon, R. Droghei, O. Embury, J. Gourrion, J. Høyer, M. Juza, J. Kennedy, B. Lemieux-Dudon, E. Peneva, R. Reid, S. Simoncelli, A. Storto, J. Tinker, K. von Schuckmann, S. L. Wakelin. 2.1. Ocean heat content ..K. von Schuckmann, A. Storto, S. Simoncelli, R. P. Raj, A.Samuelsen, A. de Pascual Collar, M. Garcia Sotillo, T Szerkely, M. Mayer, K. A. Peterson, H. Zuo, G. Garric, M. Monier. 3.4 Water mass formation processes in the Mediterranean Sea over the past 30 years S. Simoncelli, Nadia Pinardi, C. Fratianni, C. Dubois, G. Notarstefano. 3.5 Ventilation of the Western Mediterranean Deep Water through the Strait of Gibraltar S. Sammartino, J. García Lafuente, C. Naranjo, S. Simoncelli. 4.4 Unusual salinity pattern in the South Adriatic Sea in 2016 Z. Kokkini, G. Notarstefano P-M Poulain, E. Mauri, R. Gerin, S. Simoncelli
    Beschreibung: The oceans regulate our weather and climate from global to regional scales. They absorb over 90% of accumulated heat in the climate system (IPCC 2013 IPCC. 2013. Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change [Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM, editors]. Cambridge: Cambridge University Press, 1535. doi: 10.1017/CBO9781107415324. [Crossref], , [Google Scholar]) and over a quarter of the anthropogenic carbon dioxide (Le Quéré et al. 2016 Le Quéré C, Andrew RM, Canadell JG, Sitch S, Korsbakken JI, Peters GP, Manning AC, Boden TA, Tans PP, Houghton RA, et al. 2016. Global carbon budget 2016. Earth Syst Sci Data. 8( 2): 605– 649. doi: 10.5194/essd-8-605-2016 [Crossref], [Web of Science ®], , [Google Scholar]). They provide nearly half of the world’s oxygen. Most of our rain and drinking water is ultimately regulated by the sea. The oceans provide food and energy and are an important source of the planet's biodiversity and ecosystem services. They are vital conduits for trade and transportation and many economic activities depend on them (OECD 2016 OECD . 2016. The ocean economy in 2030. Paris : OECD Publishing. doi: 10.1787/9789264251724-en. [Crossref], , [Google Scholar]). Our oceans are, however, under threat due to climate change and other human induced activities and it is vital to develop much better, sustainable and science-based reporting and management approaches (UN 2017 UN . 2017. Report of the United Nations conference to support the implementation of sustainable development goal 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development (Advance unedited version). https://sustainabledevelopment.un.org/content/documents/15662FINAL_15_June_2017_RepoRe_Goal_14.pdf . [Google Scholar]). Better management of our oceans requires long-term, continuous and state-of-the art monitoring of the oceans from physics to ecosystems and global to local scales. The Copernicus Marine Environment Monitoring Service (CMEMS) has been set up to address these challenges at European level. Mercator Ocean was tasked in 2014 by the European Union under a delegation agreement to implement the operational phase of the service from 2015 to 2021 (CMEMS 2014 CMEMS . 2014. Technical annex to the delegation agreement with Mercator Ocean for the implementation of the Copernicus Marine Environment Monitoring Service (CMEMS). www.copernicus.eu/sites/default/files/library/CMEM_TechnicalAnnex_PUBLIC.docx.pdf . [Google Scholar]). The CMEMS now provides regular and systematic reference information on the physical state, variability and dynamics of the ocean, ice and marine ecosystems for the global ocean and the European regional seas (Figure 0.1; CMEMS 2016 CMEMS . 2016. High level service evolution strategy, a document prepared by Mercator Ocean with the support of the CMEMS STAC. [Google Scholar]). This capacity encompasses the description of the current situation (analysis), the prediction of the situation 10 days ahead (forecast), and the provision of consistent retrospective data records for recent years (reprocessing and reanalysis). CMEMS provides a sustainable response to European user needs in four areas of benefits: (i) maritime safety, (ii) marine resources, (iii) coastal and marine environment and (iv) weather, seasonal forecast and climate.
    Beschreibung: Copernicus Marine Environment Monitoring Service
    Beschreibung: Published
    Beschreibung: S1-S142
    Beschreibung: 4A. Oceanografia e clima
    Beschreibung: JCR Journal
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
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