2011
DOI: 10.4319/lo.2011.56.3.1075
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Sedimentary phosphorus dynamics and the evolution of bottom‐water hypoxia: A coupled benthic–pelagic model of a coastal system

Abstract: The present study examines oxygen and phosphorus dynamics at a seasonally hypoxic site in the Arkona basin of the Baltic Sea. A coupled benthic-pelagic reactive-transport model is used to describe the evolution of bottomwater solute concentrations, as well as pore-water and sediment profiles. Aerobic respiration dominates remineralization, with iron reduction, denitrification, and sulphate reduction playing secondary roles, while other pathways are negligible. Sediments represent a significant oxygen sink chie… Show more

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Cited by 143 publications
(135 citation statements)
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“…Because the phosphorus cycling highly depend on the bottomwater redox conditions, sediments that previously were overlain by anoxic bottom waters are subject to altering phosphorus cycling. The increased oxygen penetration into the sediment impedes the phosphate to diffuse out of the sediments (Mort et al, 2010;Reed et al, 2011). Increased bottom oxygen concentrations and reduced hypoxic and anoxic bottom areas therefore cause reduced phosphorus fluxes from the model sediments, lower phosphate concentrations in the water column, and eventually reduced organic matter production and reduced oxygen consumption due to reduced organic matter decomposition.…”
Section: Discussionmentioning
confidence: 99%
“…Because the phosphorus cycling highly depend on the bottomwater redox conditions, sediments that previously were overlain by anoxic bottom waters are subject to altering phosphorus cycling. The increased oxygen penetration into the sediment impedes the phosphate to diffuse out of the sediments (Mort et al, 2010;Reed et al, 2011). Increased bottom oxygen concentrations and reduced hypoxic and anoxic bottom areas therefore cause reduced phosphorus fluxes from the model sediments, lower phosphate concentrations in the water column, and eventually reduced organic matter production and reduced oxygen consumption due to reduced organic matter decomposition.…”
Section: Discussionmentioning
confidence: 99%
“…This stochastic technique mimics natural selection by iteratively selecting the "fittest" set of parameters to reproduce the observations. The evolutionary algorithm is a well accepted method for optimization problems (Hibbert, 1993;Fogel, 1994;Chatterjee et al, 1996;Kolda et al, 2003) and has been increasingly used to optimize parameters in biogeochemical models (Kuhn et al, 2015;Robson et al, 2008;Schartau and Oschlies, 2003;Ward et al, 2010). The technique was successfully used for the optimization of parameters of Soetaert et al's (1996a) diagenetic model in two independent studies (Wilson et al, 2013;Wood et al, 2013).…”
Section: Parameter Optimizationmentioning
confidence: 99%
“…It is, however, difficult to draw any further conclusions about long term mean fluxes comparable to the present results from a set of data collected at discrete times and places. More detailed studies using RCO-SCOBI, following the ideas of Reed et al (2011), who used a coupled benthicpelagic reactive-transport model to study oxygen and phosphorus dynamics in the Arkona Basin, may clarify the processes involved.…”
Section: Spatial Distributions Of Internal Importsmentioning
confidence: 99%