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Found 69 results.

Bioturbation potential - modelled

Distribution of community bioturbation potential BPc (log-transformed values) resulting from random forest modeling using BPc as response variable. Bioturbation potential BPc is a metric to quantitatively estimate bioturbation intensity from benthic quantitative data suggested by Solan et al. (2004). Macrozoobenthic data from 1191 sampling stations located in the German part of the Baltic Sea were analyzed (data sources: Leibniz Institute for Baltic Sea Research). Samples have been collected from 1999 to 2015. Sample data were averaged per stations and standardized to the area of 1 m². For modeling R package “Random Forest” (RF, Version 4.6–7, Liaw and Wiener, 2002), based on random forests statistical analysis (Breiman, 2001) is used. Predictors and modeling algorithm as described in Gogina, M., Morys, C., Forster, S., Gräwe, U., Friedland, R., Zettler, M.L. 2017. Towards benthic ecosystem functioning maps: Quantifying bioturbation potential in the German part of the Baltic Sea. Ecological Indicators 73: 574-588. doi.org/10.1016/j.ecolind.2016.10.025Solan, M., Cardinale, B.J., Downing, A.L., Engelhardt, K.A.M., Ruesink, J.L., Srivastava,D.S., 2004. Extinction and ecosystem function in the marine benthos. Science306, 1177–1180.Liaw, A., Wiener, M., 2002. Classification and regression by randomForest. R. News2, 18–22.Breiman, L., 2001. Random forests. Mach. Learn. 45, 5–32.

Bioturbation potential - interpolated

Distribution of community bioturbation potential BPc (log-transformed values) resulting from natural neighbour interpolation. Bioturbation potential BPc is a metric to estimate bioturbation intensity from benthic quantitative data suggested by Solan et al. (2004). Macrozoobenthic data from 1191 sampling stations located in the German part of the Baltic Sea was used (data sources: Leibniz Institute for Baltic Sea Research). Samples have been collected from 1999 to 2015. Sample data were averaged per stations and standardized to the area of 1 m².Natural neighbour interpolation finds the closest subset of input samples to a query point and applies weights to them based on proportionate areas in order to interpolate a value (Sibson, 1981). Its basic properties are that it is local, using only a subset of samples that surround a query point, and that interpolated heights are guaranteed to be within the range of the samples used. All details are reported in Gogina, M., Morys, C., Forster, S., Gräwe, U., Friedland, R., Zettler, M.L. 2017. Towards benthic ecosystem functioning maps: Quantifying bioturbation potential in the German part of the Baltic Sea. Ecological Indicators 73: 574-588. doi.org/10.1016/j.ecolind.2016.10.025Solan, M., Cardinale, B.J., Downing, A.L., Engelhardt, K.A.M., Ruesink, J.L., Srivastava,D.S., 2004. Extinction and ecosystem function in the marine benthos. Science306, 1177–1180.Sibson, R., 1981. A brief description of natural neighbour interpolation. In: Barnett,V. (Ed.), Interpreting Multivariate Data. Wiley, New York, pp. 21–36.

Bathymetry - German Baltic Sea

Bathymetry for the German Baltic Sea in meter- 2012.

Burial into deep sediment - carbon - annual mean value (1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

Water-Sediment flux - oxygen - annual mean value (1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

Burial into deep sediment - nitrogen - annual mean value (1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

Mya arenaria - biomass (AFDW).tif

Distribution of biomass (ash free dry weight in g/m²) for 10 key species modeled with random forests method.Macrozoobenthic data from 1191 sampling stations located in the German part of the Baltic Sea were analyzed (data sources: Leibniz Institute for Baltic Sea Research). Samples have been collected from 1999 to 2015. Sample data were averaged per stations and standardized to the area of 1 m².For modeling R package “Random Forest” (RF, Version 4.6–7, Liaw and Wiener, 2002), based on random forests statistical analysis (Breiman, 2001) is used.Predictors and modeling algorithm as described in Gogina, M., Morys, C., Forster, S., Gräwe, U., Friedland, R., Zettler, M.L. 2017. Towards benthic ecosystem functioning maps: Quantifying bioturbation potential in the German part of the Baltic Sea. Ecological Indicators 73: 574-588. doi.org/10.1016/j.ecolind.2016.10.025

Water-Sediment flux - phosphate - annual mean value (1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

Water-Sediment flux - nitrate - annual mean value (1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

Water-Sediment flux - oxygen - seasonal mean value (summer 1990 - 2000)

Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

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