Articles | Volume 10, issue 1
https://doi.org/10.5194/essd-10-109-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-109-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
23 Jan 2018
Review article |
| 23 Jan 2018
| 23 Jan 2018
A synthetic map of the north-west European Shelf sedimentary environment for applications in marine science
Robert J. Wilson
CORRESPONDING AUTHOR
812 Livingstone Tower, Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, UK
Douglas C. Speirs
812 Livingstone Tower, Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, UK
Alessandro Sabatino
812 Livingstone Tower, Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, UK
Michael R. Heath
812 Livingstone Tower, Department of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, UK
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45 citations as recorded by crossref.
- Geostatistical modelling of multibeam backscatter for full-coverage seabed sediment maps T. Gaida et al. 10.1007/s10750-018-3751-4
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- Potential Micro-Plastics Dispersal and Accumulation in the North Sea, With Application to the MSC Zoe Incident J. van der Molen et al. 10.3389/fmars.2021.607203
- Morphological Modelling to Investigate the Role of External Sediment Sources and Wind and Wave-Induced Flow on Sand Bank Sustainability: An Arklow Bank Case Study S. Creane et al. 10.3390/jmse11102027
- Modelling seabed sediment physical properties and organic matter content in the Firth of Clyde M. Pace et al. 10.5194/essd-13-5847-2021
- Automated Stone Detection on Side-Scan Sonar Mosaics Using Haar-Like Features R. Michaelis et al. 10.3390/geosciences9050216
- Sedimentary carbon on the continental shelf: Emerging capabilities and research priorities for Blue Carbon C. Graves et al. 10.3389/fmars.2022.926215
- Rapid organic matter cycling in North Sea sediments E. De Borger et al. 10.1016/j.csr.2020.104327
- Modelling mass accumulation rates and 210Pb rain rates in the Skagerrak: lateral sediment transport dominates the sediment input T. Spiegel et al. 10.3389/fmars.2024.1331102
- Carbon on the Northwest European Shelf: Contemporary Budget and Future Influences O. Legge et al. 10.3389/fmars.2020.00143
- Quantifying habitat preference of bottom trawling gear N. Hintzen et al. 10.1093/icesjms/fsaa207
- Where’s the Carbon: Exploring the Spatial Heterogeneity of Sedimentary Carbon in Mid-Latitude Fjords C. Smeaton & W. Austin 10.3389/feart.2019.00269
- Increasing turbidity in the North Sea during the 20th century due to changing wave climate R. Wilson & M. Heath 10.5194/os-15-1615-2019
- Uncertainties Associated With Simulating Regional Sea Surface Height and Tides: A Case Study of the East China Seas L. Jiang et al. 10.3389/fmars.2022.827547
- Mitigating seafloor disturbance of bottom trawl fisheries for North Sea sole Solea solea by replacing mechanical with electrical stimulation A. Rijnsdorp et al. 10.1371/journal.pone.0228528
- Towards Incorporation of Blue Carbon in Falkland Islands Marine Spatial Planning: A Multi-Tiered Approach N. Bax et al. 10.3389/fmars.2022.872727
- A Marine Spatial Data Infrastructure to manage multidisciplinary, inhomogeneous and fragmented geodata in a FAIR perspective ... the Adriatic Sea experience F. Foglini & V. Grande 10.1016/j.oceano.2022.11.002
- Biodiversity–ecosystem functioning relationships in fish communities: biomass is related to evenness and the environment, not to species richness A. Maureaud et al. 10.1098/rspb.2019.1189
- Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe R. Wilson et al. 10.1016/j.ecoinf.2024.102537
- Adapting the marine stewardship council’s risk-based framework to assess the impact of towed bottom fishing gear on blue carbon habitats K. Morris et al. 10.1371/journal.pone.0288484
- Fine particle retention and deposition in regions of cyclonic tidal current rotation M. Williams et al. 10.1016/j.margeo.2019.01.006
- Identifying priority areas to manage mobile bottom fishing on seabed carbon in the UK G. Epstein et al. 10.1371/journal.pclm.0000059
- Geological seabed stability model for informing Irish offshore renewable energy opportunities J. Peters et al. 10.5194/adgeo-54-55-2020
- Estimating sensitivity of seabed habitats to disturbance by bottom trawling based on the longevity of benthic fauna A. Rijnsdorp et al. 10.1002/eap.1731
- Sediment Characteristics over Asymmetrical Tidal Sand Waves in the Dutch North Sea C. Cheng et al. 10.3390/jmse8060409
- Predicting habitat suitability and range shifts under projected climate change for two octocorals in the north-east Atlantic T. Jenkins & J. Stevens 10.7717/peerj.13509
- Offshore Wind Farm Footprint on Organic and Mineral Particle Flux to the Bottom E. Ivanov et al. 10.3389/fmars.2021.631799
- Legacy Data: How Decades of Seabed Sampling can Produce Robust Predictions and Versatile Products P. Mitchell et al. 10.3390/geosciences9040182
- Projected impacts of warming seas on commercially fished species at a biogeographic boundary of the European continental shelf K. Maltby et al. 10.1111/1365-2664.13724
- Predicting Dominance of Sand Transport by Waves, Tides, and Their Interactions on Sandy Continental Shelves E. King et al. 10.1029/2021JC017200
- The hiding-exposure effect revisited: A method to calculate the mobility of bimodal sediment mixtures C. McCarron et al. 10.1016/j.margeo.2018.12.001
- Organic carbon densities and accumulation rates in surface sediments of the North Sea and Skagerrak M. Diesing et al. 10.5194/bg-18-2139-2021
- Capturing threshold responses of marine benthos along gradients of natural and anthropogenic change E. Couce et al. 10.1111/1365-2664.13604
- A new seabed mobility index for the Irish Sea: Modelling seabed shear stress and classifying sediment mobilisation to help predict erosion, deposition, and sediment distribution M. Coughlan et al. 10.1016/j.csr.2021.104574
- Synthetic shelf sediment maps for the Greenland Sea and Barents Sea J. Laverick et al. 10.1002/gdj3.154
- Seafloor morphology and substrate mapping in the Gulf of St Lawrence, Canada, using machine learning approaches E. Sklar et al. 10.3389/fmars.2024.1306396
- Sediment mobilization by bottom trawls: a model approach applied to the Dutch North Sea beam trawl fishery A. Rijnsdorp et al. 10.1093/icesjms/fsab029
- Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook M. Goodwin et al. 10.1093/icesjms/fsab255
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- Quantifying Marine Sedimentary Carbon: A New Spatial Analysis Approach Using Seafloor Acoustics, Imagery, and Ground-Truthing Data in Scotland C. Hunt et al. 10.3389/fmars.2020.00588
- Projected Responses of Tidal Dynamics in the North Sea to Sea-Level Rise and Morphological Changes in the Wadden Sea C. Jordan et al. 10.3389/fmars.2021.685758
- Sounding Out the Carbon: The Potential of Acoustic Backscatter Data to Yield Improved Spatial Predictions of Organic Carbon in Marine Sediments C. Hunt et al. 10.3389/fmars.2021.756400
- Climate action requires new accounting guidance and governance frameworks to manage carbon in shelf seas T. Luisetti et al. 10.1038/s41467-020-18242-w
- An updated methodology for sediment distribution maps using conditional strings in Arc GIS 10.X R. Pillai et al. 10.1007/s12517-021-07053-y
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Discussed (preprint)
Latest update: 19 Apr 2024
Short summary
We provide new maps of the sedimentary environment in the north-west European Continental Shelf. Maps are blended products of interpolated field estimates and statistical predictions. Data products include mud, sand and gravel percentages, median grain sizes, rock cover, carbon and nitrogen content, porosity and permeability, wave and tidal velocities, and natural disturbance rates. These maps can be used in applications such as species distribution modelling and ecosystem modelling.
We provide new maps of the sedimentary environment in the north-west European Continental Shelf....
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