The map represents the degree of pressure based on the intensity of transport in the Mediterranean Sea. Three variables were taken into account: vessels traffic, port activity and oil spills. Shipping data (Halpern et al., 2008) provide an estimate of the occurrence of ships at a particular location, and therefore an estimate of the amount of pollution they produce, under the assumption that traveling ships primarily affect their immediate waters. The dispersal of port-derived pollution was modeled as a diffusive plume based on data of transport of goods (thousand tonnes) and passengers (thousand passengers). Pressures generated by oil spills and other pollution releases are represented as a density layer based on data registered by the REMPEC, and also the oil spills map generated by Cinirella et al, 2012 (based on JRC 2009 data).
The indicators represent the distribution and degree of accumulation of marine in the Mediterranean Sea. Main source data were modelled by Lebreton et al., 2012 using a Lagrangian particle tracking model to simulate 30 years of input and transport of floating debris in the world’s ocean. The relative contribution of different sources to the total amount was taken into account in their model.
Map representing the number of establishments per km2, as an indicator of the local intensity of tourism capacity. This pressure index is based on Eurostat tourism statistic on number of tourism accommodation establishments and the DMSP-OLS Nighttime Lights Time Series image. Eurostat's tourism capacity statistics differentiate between coastal and non-coastal areas within a NUTS2 region. The total number of establishments in coastal areas of a NUTS2 region was disaggregated to the most intense nighttime light emission pixels of the Nighttime Lights Time Series assuming that most bed places are located in areas with high nighttime light emissions. Results are showing low to high intensive tourism capacity per km2 pixel.
The map shows the spatial distribution of the frequency of oil spills in the Mediterranean Sea, indicating where the probability of an oil discharge is higher. Oil spills were represented as a density layer calculated using data on ship accidents and oil discharges registered by the Mandate of the Regional Marine Pollution Emergency Response Centre for the Mediterranean Sea (REMPEC), and also the oil spills map generated by Cinirella et al., 2012 (based on JRC data, 2009).
This video, produced by the project POSBEMED, highlights the value of Posidonia oceanica for the Mediterranean. The POSBEMED project in one of the 9 thematic initiatives under the umbrella of the EU Interreg Med PANACeA project on Biodiversity Protection. POSBEMED is led by the Entente Interdépartementale de Démoustication Méditerranée (EID-Med, Montpellier) in France and involves partners from three more Mediterranean countries: the International Union for Conservation of Nature - Centre for Mediterranean Cooperation (IUCN, Malaga, Spain), the International Marine Centre Foundation (IMC, Sardinia, Italy), ECO-logica srl (Bari, Italy) and the Hellenic Centre for Marine Research (HCMR, Anavissos, Greece). Other associated partners are the Hellenic Society for the Protection of Nature (Greece), Ministry of Agriculture, Rural Development and Environment (Cyprus), Larnaka Municipality (Cyprus), Regional Government of the Balearic Islands (Spain), French Agency for Biodiversity (France), and the Municipality of Giovinazzo (Italy). POSBEMED is an Interreg-Med project co-financed by the European Regional Development Fund.
Data shows the change in number of tourism establishments between year 2019 and 2022. Data are mostly available by coastal NUTS2 region. Data for non European Union countries are available at country level, but only coastal regions are shown on the map to highlight them.
Data represents the degree of pressure based on the intensity of passengers vessels, including high speed craft, in the Mediterranean Sea (year 2022). The map is based on AIS data aggregated at 1km2 by EMODnet and expressed as total time with presence of vessels in each cell throughout the year. The indicator provides an estimate of the amount of pollution vessels produce (via fuel leaks, oil discharge, waste disposal, etc.), under the assumption that traveling ships primarily affect their immediate waters.
Data represents the degree of pressure based on the intensity of sailing vessels and pleasure craft traffic in the Mediterranean Sea (year 2022). The map is based on AIS data aggregated at 1km2 by EMODnet and expressed as total time with presence of vessels in each cell throughout the year. The indicator provides an estimate of the amount of pollution vessels produce (via fuel leaks, oil discharge, waste disposal, etc.), under the assumption that traveling ships primarily affect their immediate waters.
Data showing the percentage of change in the number of tourists arrivals in Mediterranean countries. Data are mostly available by coastal NUTS2 regions for years 2019 and 2022. Data for non European Union countries are available at country level, but only coastal regions are shown on the map to highlight them. Last year reported for Syria and certain regions of Turkey is 2021.
Data representing the cumulative tourism pressure in Mediterranean Sea waters based on the intensity of maritime traffic of passengers vessels and pleasure craft. Traffic intensity was produced using AIS data aggregated at 1km2 by EMODnet and expressed as total time with presence of vessels in each cell throughout the year (hours/km2). Pressure hotspots are highlighted on the map, being classified as: 1) low; areas with cumulative presence of vessels from one hour a day to 4 months (1 quarter); 2) moderate; areas with cumulative presence of vessels between 4 and 8 months (1 to 2 quarters); 3) high, areas with cumulative presence of vessels between 8 months (2 quarters) and one year; 4) very high, areas where there is a cumulative presence of vessels exciding one year, being locations of very high traffic intensity.