Integrated Modelling of Suspended Matter in the North Sea

Gerritsen, H.; Boon, J.G; Kaaij, T. van der; Vos, R.J.

doi:10.1006/ecss.2000.0633

Cited by 33 publications

(20 citation statements)

References 17 publications

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“…Los aspectos positivos están relacionados, por ejemplo, con el contenido de materia orgánica que sirve como fuente de alimento, con el aislamiento visual el cual disminuye la depredación aviar (Favero et al, 2000Mauco et al, 2001) y con la reducción de la depredación intra-específica (Blaber y Cyrus, 1983). Mientras que los aspectos negativos están vinculados, con la disminución de la tasa fotosintética causada por la reducción de la luz que penetra en la columna de agua (Carreto et al, 1986), con daños vinculados a los órganos respiratorios de invertebrados bentónicos y peces juveniles (Wenger et al, 2017), y con la toxicidad en la cadena alimentaria (Gerritsen et al, 2001) debido a la asociación que tiene el MPS con pesticidas y metales pesados (Kronvang et al, 2003).…”

Section: Introductionunclassified

Material Particulado en Suspensión en el Río de la Plata: importancia del río Bermejo en su variabilidad espacio-temporal

2018

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Resumen: La variabilidad espacio-temporal del Material Particulado en Suspensión (MPS) en el Río de la Plata (RdlP) fue analizada para el periodo 2002-2014 a partir de datos Aqua-MODIS (Moderate Resolution Imaging Spectroradiometer), y posteriormente se explicó su variabilidad en términos de sus principales tributarios. La media mensual de la concentración del MPS mostró, un máximo a partir de fines del verano hasta mediados de otoño, y un mínimo, a partir de mediados del invierno hasta comienzos del verano. El río Bermejo (RBe), es el tributario que más sedimentos en suspensión transporta, situación que se reflejó en la relación significativa hallada entre la concentración media mensual del MPS y la descarga mensual promedio del RBe. La variación estacional del MPS, tuvo valores máximos durante el otoño y el verano, y valores mínimos en el invierno y la primavera, reflejando así el patrón mensual de descarga del RBe con uno y dos meses de retraso. La variación espacial evidenció tres regiones: interior, central y exterior. Por su parte, la variabilidad anual denotó una marcada estacionalidad en el patrón de cobertura espacial de las aguas con mayor concentración de MPS. La distribución de las anomalías estuvo relacionada con la influencia de la descarga de los ríos, lo que puso de manifiesto que el patrón temporal no está vinculado con el ciclo ENSO (El Niño -Sourthen Oscillation). Estos resultados nos permitieron denotar la importancia del RBe (no ENSO dependiente) para explicar el patrón de anomalías del MPS observado en el RdlP.Palabras clave: telemetría, Material Particulado en Suspensión, Río de la Plata, río Bermejo, variabilidad espacio-temporal, ENSO. Suspended Particulate Matter in the Río de la Plata: importance in its spatial and temporal variability of the Bermejo riverAbstract: Spatio-temporal variability of Suspended Particulate Matter (SPM) in the Río de la Plata (RdlP) is analyzed from 2002-2014 of MODIS (Moderate Resolution Imaging Spectroradiometer) data and explained in terms of its main tributaries flows. The monthly mean showed maximum during late summer to mid-autumn, and minimum in mid-winter to early summer. The Bermejo river (BeR), is the tributary that more sediment in suspension brings. This situation was reflected in the significant relationship between the mean monthly concentrations of SPM with the average monthly flow of BeR. Seasonal variation in SPM concentration, showed maximum values in fall, followed by summer, and minimum values in winter and spring, reflecting the monthly pattern of discharge of the BeR with one and two months of delay. The pattern of spatial variation differentiated threes regions: the inner, central and outer. The annual variability

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Section: Introductionunclassified

Material Particulado en Suspensión en el Río de la Plata: importancia del río Bermejo en su variabilidad espacio-temporal

2018

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“…linked to seasonal primary production, or to rough weather conditions which will modify the erosiondeposition cycle. High wind velocities, often found from December to March (Gerritsen et al, 2001), are known to be one of the driving forces in the large-scale transport and the sedimentation and erosion processes. A recent study of Davis et al (2014) in the Celtic Sea showed that a storm could induce changes in the stoichiometry of OM.…”

Section: Introductionmentioning

confidence: 99%

A seasonal study of particulate organic matter composition and quality along an offshore transect in the southern North Sea

Guitton

Soetaert

Damsté

et al. 2017

Estuarine, Coastal and Shelf Science

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We investigated temporal differences in particulate organic matter (POM) composition and quality in the water column and sediment at three stations along a transect from the coast via Oyster Grounds to Dogger Bank within the southern North Sea, using a multiproxy approach covering a wide spectrum of organic matter (OM) degradation states. Results of pigments and phospholipid-derived fatty acids showed distinct OM composition and quality differences in these stations, as well as seasonal variations. Major events, such as a late fall bloom at Dogger Bank and a spring bloom at Oyster Grounds and the Coastal Station were highlighted and the semi-depositional status of Oyster Grounds was confirmed. The OM composition and quality were relatively constant in the upper 10 cm of the sediment at all stations. Finally, this study highlights the importance of lateral and vertical transport processes in seasonal 2 variations in the biogeochemical carbon cycle in this area and the intense pre-depositional processing before eventual burial in coastal settings.

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“…Examples include MANS , North Sea BLOOM (Los & Bokhorst, 1997;Los & Wijsman, 2007), SMOES (Klepper et al, 1994;, MOSES (Soetaert & Herman, 1995a, b;Soetaert et al, 1994), ECOWASP (Brinkman, 1993) and ERSEM (Baretta et al, 1995). In addition, various model applications simulating aspects of ecosystem functioning of the North Sea (and adjacent Dutch coastal waters) have been developed at WL | Delft Hydraulics in response to specific management questions, often in close cooperation with the National Institute for Coastal and Marine Management (De Vries et al, 1998;Los & Bokhorst, 1997;De Kok et al, 1995Gerritsen et al, 2001;Delhez et al, 2004). These latter models typically have a relatively high spatial resolution, especially in the coastal zone, compared to most other North Sea models (Moll & Radach, 2003), but they traditionally use relatively simple (if any) model formulations for food web interactions and organisms other than phytoplankton.…”

Section: Introductionmentioning

confidence: 99%

GEM: a generic ecological model for estuaries and coastal waters

Blauw

Los

Bokhorst³

et al. 2008

Hydrobiologia

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The set-up, application and validation of a generic ecological model (GEM) for estuaries and coastal waters is presented. This model is a comprehensive ecological model of the bottom of the foodweb, consisting of a set of modules, representing specific water quality processes and primary production that can be combined with any transport model to create a dedicated model for a specific ecosystem. GEM links different physical, chemical and ecological model components into one generic and flexible modelling tool that allows for variable sized, curvilinear grids to accomodate both the requirements for local accuracy while maintaining a relatively short model run-time. The GEM model describes the behaviour of nutrients, organic matter and primary producers in estuaries and coastal waters, incorporating dynamic process modules for dissolved oxygen, nutrients and phytoplankton. GEM integrates the best aspects of existing Dutch estuarine models that were mostly dedicated to only one type of ecosystem, geographic area or subset of processes. Particular strengths of GEM include its generic applicability and the integration and interaction of biological, chemical and physical processes into one predictive tool. The model offers flexibility in choosing which processes to include, and the ability to integrate results from different processes modelled simultaneously with different temporal resolutions. The generic applicability of the model is illustrated using a number of representative examples from case studies in which the GEM model was successfully applied. Validation of these examples was carried out using the 'cost function' to compare model results with field observations. The validation results demonstrated consistent accuracy of the GEM model for various key parameters in both spatial dimensions (horizontally and vertically) as well as temporal dimensions (seasonally and across years) for a variety of water systems without the need for major reparameterisation.

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Integrated Modelling of Suspended Matter in the North Sea

Cited by 33 publications

References 17 publications

Material Particulado en Suspensión en el Río de la Plata: importancia del río Bermejo en su variabilidad espacio-temporal

Material Particulado en Suspensión en el Río de la Plata: importancia del río Bermejo en su variabilidad espacio-temporal

A seasonal study of particulate organic matter composition and quality along an offshore transect in the southern North Sea

GEM: a generic ecological model for estuaries and coastal waters

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