Storm Influence on the Accumulation and Lamination of Sediments in Deep Areas of the Northwestern Baltic Proper

Eckhéll, Jan; Jönsson, P.; Meili, Markus; Carman, Rolf

doi:10.1579/0044-7447-29.4.238

Cited by 32 publications

(10 citation statements)

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“…In addition to this in area of erosion and transportation bottom resuspension of sediment induced by waves and currents, which in the Baltic Sea can be found to depths of 40-60 m (Danielsson et al, 2007), enhances degradation of organic matter and causes the removal of biogenic elements from sediment particles (Christiansen et al, 1997;Cyr et al, 2009). Sediment particles are subsequently transported seaward and accumulated in deeper basins (Eckhell et al, 2000;Christiansen et al, 2002;Damrat et al, 2013). As a consequence, ratios of OC:OP in sediments below the halocline tend to be higher than in the rest of the investigated area (Table 1; Fig.…”

Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

“…erosion or transportation) bottom -where deposition is interrupted by resuspension of sediments, to accumulation bottom -where conditions favour deposition (Jönsson et al, 2005). In other words, as wave-and current-induced resuspension prevents smaller particles from settling, they are transported seaward and deposited in deeper water basins (Eckhell et al 2000;Christiansen et al 2002;Emeis et al, 2000;Damrat et al, 2013). As a consequence, the percentage contribution of a fine grain fraction in sediment tends to increase with water depth (Eckhell et al, 2000;Hille et al, 2006), and this in turn leads to higher contents of water and organic matter in the sediment (Graca, 2009).…”

Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

“…In other words, as wave-and current-induced resuspension prevents smaller particles from settling, they are transported seaward and deposited in deeper water basins (Eckhell et al 2000;Christiansen et al 2002;Emeis et al, 2000;Damrat et al, 2013). As a consequence, the percentage contribution of a fine grain fraction in sediment tends to increase with water depth (Eckhell et al, 2000;Hille et al, 2006), and this in turn leads to higher contents of water and organic matter in the sediment (Graca, 2009). This relationship was also observed in the present study with fine-grained sediments accumulated below the halocline (C4 and C5) exhibiting higher contents of OM (LOI) and TC, OC, TN, TP, OP and TS than sediments from other parts of the study area (Table 1, Fig.…”

Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

“…Due to intense primary production, riverine input and erosion, the highest SPM fluxes tend to be observed in estuaries and coastal areas (Eisma et al, 1991;Schiewer, 2008). Coastal and shallow parts of the Baltic Sea are, however, non-depositional areas experiencing waveand current-induced resuspension, which prevents smaller particles from settling and transports them seaward where they are deposited in deeper water basins (Eckhell et al 2000;Christiansen et al 2002;Emeis et al, 2000;Damrat et al, 2013). As a consequence, the percentage contribution of fine grain fraction and content of organic matter in sediment increase with water depth (Eckhell et al 2000;Hille et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Factors controlling spatial distributions and relationships of carbon, nitrogen, phosphorus and sulphur in sediments of the stratified and eutrophic Gulf of Gdansk

Łukawska‐Matuszewska

Kiełczewska

Bolałek

2014

Continental Shelf Research

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Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

Section: Spatial Distribution In Surface Sediment Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors controlling spatial distributions and relationships of carbon, nitrogen, phosphorus and sulphur in sediments of the stratified and eutrophic Gulf of Gdansk

Łukawska‐Matuszewska

Kiełczewska

Bolałek

2014

Continental Shelf Research

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“…Also the wind direction is of interest. If the fetch is large, the wave base (i.e., the water depth down to which the wave orbitals can resuspend fine partiOperational Effect Variables Table 7 (2000) demonstrate that resuspension correlates with winds higher than 7 m/s in four different archipelago areas in the Baltic Proper, whereas studies by ECKHELL et al (2000) indicate that wind speeds higher than 14 m/s correlate best with resuspension. BURBAN et al (1989BURBAN et al ( , 1990 have demonstrated that changes in water turbulence, SPM and salinity are also key regulatory factors for the aggregation and flocculation of suspended particles and hence also for the fall velocity.…”

Section: Suspended Particulate Matter (Spm)mentioning

confidence: 99%

Operational Effect Variables and Functional Ecosystem Classifications – a Review on Empirical Models for Aquatic Systems along a Salinity Gradient

Håkanson¹,

Bryhn

Blenckner

2007

International Review of Hydrobiology

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This paper presents a comparative study based on a very comprehensive set of empirical data from many international data bases including fresh water systems, coastal brackish water areas and marine coastal areas. We present a general trophic level classification system (oligotrophic, mesotrophic, eutrophic and hypertrophic categories) for sites/areas characterised by a wide range of salinities. This classification system targets on the following operational effect variables (bioindicators), which are meant to reflect key structural and functional aspects of aquatic ecosystems and characteristic (median) values for entire defined areas (the ecosystem scale) for the growing season: Secchi depth (as a standard measure of water clarity), chlorophyll-a concentrations (a measure of primary phytoplankton biomass), the oxygen saturation in the deep-water zone (an indicator reflecting sedimentation, oxygen consumption, oxygen concentrations and the habitat conditions for zoobenthos, an important functional group) and the macrophyte cover (an important variable for the bioproduction potential, including fish production, and the "biological value" of aquatic systems). For a wide range of systems, these bioindicators can be predicted using practically useful models, i.e., models based on variables that can be accessed from standard monitoring programs and maps. These bioindicators are regulated by a set of abiotic factors, such as salinity, suspended particulate matter (SPM), nutrient concentrations (N and P), morphometry and water exchange. Empirical data ultimately form the basis for most ecological/environmental studies and this work uses maybe the most comprehensive data set ever related to trophic level conditions. It also gives compilations of empirically-based (statistical) models quantifying how the variables are interrelated and how they reflect fundamental aspects of aquatic ecosystems.

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Maternal Transfer and Long-Term Population Effects of PCBs in Baltic Grey Seals Using a New Toxicokinetic–Toxicodynamic Population Model

Mauritsson

Desforges

Hårding

2022

Arch Environ Contam Toxicol

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Empirical evidence has shown that historical exposure of polychlorinated biphenyls (PCBs) to Baltic grey seals not only severely affected individual fitness, but also population growth rates and most likely caused the retarded recovery rate of the depleted population for decades. We constructed a new model which we term a toxicokinetic–toxicodynamic (TKTD) population model to quantify these effects. The toxicokinetic sub-model describes in detail the bioaccumulation, elimination and vertical transfer from mother to offspring of PCBs and is linked to a toxicodynamic model for estimation of PCB-related damage, hazard and stress impacts on fertility and survival rates. Both sub-models were linked to a Leslie matrix population model to calculate changes in population growth rate and age structure, given different rates of PCB exposure. Toxicodynamic model parameters related to reproductive organ lesions were calibrated using published historical data on observed pregnancy rates in Baltic grey seal females. Compared to empirical data, the TKTD population model described well the age-specific bioaccumulation pattern of PCBs in Baltic grey seals, and thus, the toxicokinetic parameters, deduced from the literature, are believed to be reliable. The model also captured well the general effects of PCBs on historical population growth rates. The model showed that reduced fertility due to increased PCB exposure causes decreased vertical transfer from mother to offspring and in turn increased biomagnification in non-breeding females. The developed TKTD model can be used to perform population viability analyses of Baltic grey seals with multiple stressors, also including by-catches and different hunting regimes. The model can also be extended to other marine mammals and other contaminants by adjustments of model parameters and thus provides a test bed in silico for new substances.

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Storm Influence on the Accumulation and Lamination of Sediments in Deep Areas of the Northwestern Baltic Proper

Cited by 32 publications

References 0 publications

Factors controlling spatial distributions and relationships of carbon, nitrogen, phosphorus and sulphur in sediments of the stratified and eutrophic Gulf of Gdansk

Factors controlling spatial distributions and relationships of carbon, nitrogen, phosphorus and sulphur in sediments of the stratified and eutrophic Gulf of Gdansk

Operational Effect Variables and Functional Ecosystem Classifications – a Review on Empirical Models for Aquatic Systems along a Salinity Gradient

Maternal Transfer and Long-Term Population Effects of PCBs in Baltic Grey Seals Using a New Toxicokinetic–Toxicodynamic Population Model

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