Pan-European map visualization, at a range of scales, indicating lower, intermediate, and higher levels of coastline resilience and vulnerability. The resilience of a system is defined as its ability to withstand and recover from a major disruption, whereas vulnerability is a measure of the susceptibility of a system to change. Higher resilience reduces susceptibility and thus vulnerability to change. Higher levels of resilience/lower levels of vulnerability are shown in light blue, intermediate levels in mid-blue and lower levels of resilience/higher levels of vulnerability in dark blue. The dataset is constructed by Edge Hill University with data provided by partners of EMODnet Geology. For the purpose of visualization, the dataset is built from the coastline as a line representation at the highest zoom levels, towards points showing averages of the resilience/vulnerability of the coastline underneath. This approach gives a good overview of regional differences in resilience/vulnerability. The current version was finalized in July 2024. [insert link to paper]

Pan-European map visualization, at a range of scales, indicating lower, intermediate, and higher levels of coastline resilience and vulnerability. The resilience of a system is defined as its ability to withstand and recover from a major disruption, whereas vulnerability is a measure of the susceptibility of a system to change. Higher resilience reduces susceptibility and thus vulnerability to change. Higher levels of resilience/lower levels of vulnerability are shown in light blue, intermediate levels in mid-blue and lower levels of resilience/higher levels of vulnerability in dark blue. The dataset is constructed by Edge Hill University with data provided by partners of EMODnet Geology. For the purpose of visualization, the dataset is built from the coastline as a line representation at the highest zoom levels, towards points showing averages of the resilience/vulnerability of the coastline underneath. This approach gives a good overview of regional differences in resilience/vulnerability. The current version was finalized in July 2024. [insert link to paper]

The Atlantic cod (Gadus morhua) spawning grounds dataset is derived from the existing (Gonzalez-Irusta and Wright, 2016) spawning ground map available in the SpatialData.gov.scot Metadata Portal. (Gonzalez-Irusta and Wright, 2016) spawning ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability.

The European plaice (Pleuronectes platessa) nursery grounds dataset is derived from the existing (Trimoreau et al, 2013) nursery ground map available in the Sextant Ifremer data catalogue. (Trimoreau et al, 2013) nursery ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability. The juvenile density values provided in (Trimoreau et al, 2013) dataset have been used to classify areas as ‘high’, ‘medium’, and 'low' suitability.

The wedge sole (Dicologlossa cuneata) nursery grounds dataset is derived from the existing (Trimoreau et al, 2013) nursery ground map available in the Sextant Ifremer data catalogue. (Trimoreau et al, 2013) nursery ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability. The juvenile density values provided in (Trimoreau et al, 2013) dataset have been used to classify areas as ‘high’, ‘medium’, and 'low' suitability.

The European seabass (Dicentrarchus labrax) nursery grounds dataset is derived from the existing (Regimbart et al, 2018) nursery ground map available in the Sextant Ifremer data catalogue. (Regimbart et al, 2018) nursery ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability. The juvenile density values provided in (Regimbart et al, 2018) dataset have been used to classify areas as ‘high’, ‘medium’, and 'low' suitability.

The common sole (Solea solea) nursery grounds dataset is derived from the existing (Trimoreau et al, 2013) nursery ground map available in the Sextant Ifremer data catalogue. (Trimoreau et al, 2013) nursery ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability. The juvenile density values provided in (Trimoreau et al, 2013) dataset have been used to classify areas as ‘high’, ‘medium’, and 'low' suitability.

The black seabream (Spondyliosoma cantharus) nursery grounds dataset is derived from the existing (Regimbart et al, 2018) nursery ground map available in the Sextant Ifremer data catalogue. (Regimbart et al, 2018) nursery ground dataset has been modified in order to comply with the standard format developed by the EMODnet Seabed Habitats Lot. In that EMODnet format, the map key classifies areas as ‘high’, ‘medium’, and 'low' suitability. The juvenile density values provided in (Regimbart et al, 2018) dataset have been used to classify areas as ‘high’, ‘medium’, and 'low' suitability.

Predicted map based on generalized additive models used to relate juvenile sardine presence with geographical variables and spawning grounds (egg abundance) and to model juvenile abundance

Predicted map based on generalized additive models used to relate juvenile sardine presence with geographical variables and spawning grounds (egg abundance) and to model juvenile abundance