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  • The map shows the distribution of main goods transport ports in the Mediterranean Sea. Pressure on marine regions are represented by the port influence area, based also on their activity level. The dispersal of port-derived pollution was modeled as a diffusive plume based on their activity level using Eurostat data on transport of goods (thousand tonnes) and passengers (thousand passengers). Calculations were made following the same methodology developed for ESaTDOR Project (ESPON, 2013).

  • Categories  

    This indicator shows marine biodiversity protection by Mediterranean MPAs by combining areas of legal and managerial protection in an overall response index. A protection index was created by summing up one simple indicator (legal protection) and one composite indicator (managerial protection) for 1ha pixels for the whole Mediterranean Sea (based on MAPAMED, the database on Mediterranean Marine Protected Areas, MedPAN, RAC/SPA, 2014).

  • The map highlight the potential intensity of pressure related to marinas on marine ecosystems. The dispersal of yachting port-derived pollution was modeled as a diffusive plume up to 20 km based on the data on mooring capacity of each yachting port. The spatial proximity of yachting ports increases the overall pressures. The influence was modeled as a buffer with and exponential decay based on self calculations using mooring capacity of each yachting port. Calculations were made following the same methodology developed for ESaTDOR Project (ESPON, 2013). The extension area is based on HELCOM, 2012 and it is the theoretical maximum expansion distance for pressures generated by recreational shipping.

  • The map shows the distribution of main passengers transport ports in the Mediterranean Sea. Pressure on marine regions are represented by the port influence area, based also on their activity level. The dispersal of port-derived pollution was modeled as a diffusive plume based on their activity level using Eurostat data on transport of goods (thousand tonnes) and passengers (thousand passengers). Calculations were made following the same methodology developed for ESaTDOR Project (ESPON, 2013).

  • 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.

  • Categories  

    The indicator of legal protection was made by summing all the legal designation categories (based on MAPAMED, the database on Mediterranean Marine Protected Areas, MedPAN, RAC/SPA, 2014) overlapping on each 1ha pixel across the whole Mediterranean Sea.

  • The map represents the distribution of resident species of cetaceans in the Mediterranean Sea based on observations registered in EMODnet Biology Portal. Species list is based on ‘Marine mammals and sea turtles of the Mediterranean and Black Seas’, IUCN, 2012. Species list includes the following cetaceans: Common Bottlenose Dolphin, Cuvier’s Beaked Whale, Fin Whale, Long-finned Pilot Whale, Risso’s Dolphin, Short-beaked Common Dolphin, Sperm Whale, and Striped Dolphin. Species list is based on ‘Marine mammals and sea turtles of the Mediterranean and Black Seas’, IUCN, 2012.

  • Categories  

    This map presents the distribution and marine influence of aquaculture fish farms in the Mediterranean Sea coast. The indicator presents the distribution of aquaculture fish farms (Trujillo et al., 2012 and EMODnet, 2014) in the Mediterranean Sea. Influence area of fish farms (self-calculation) is based on the theoretical maximum distance at which they produce pressure (20 km according to 'Human uses, pressures and impacts in the eastern North Sea, HELCOM, 2012').

  • The indicator shows the potential pressure generate by fishing activity in regions close to the coast. Med-IAMER developed an expert-based approach to estimate the spatial distribution of fishing activities and the related pressure of harmful fishing techniques on marine environments. This approach resulted in this cumulative fishing indicator, that aims at provide a spatial explicit estimation of main pressures exerted from fishing related activities, particularly trawling and dredging, taking into account the variables for which spatial data are available and that had a specific influence on marine ecosystem. Maximum distance considered is 100 km. Three variables were taken into account to produce this indicator: fishing effort, calculated by a classification of ports according to their fishing fleet tonnage, average vessel length overall and number of trawlers, using the DG MARE database on ports and fishing fleet; soft bottoms above 1.000 meters depth, and main resident endangered species of cetaceans, turtles, sharks and rays threatened by bycatch according to the IUCN Red List and reports.

  • The map shows the distribution of main passenger and transport ports in the Mediterranean Sea. The dispersal of port-derived pollution was modeled as a diffusive plume based on their activity level using Eurostat data on transport of goods (thousand tonnes) and passengers (thousand passengers). Calculations were made following the same methodology developed for ESaTDOR Project (ESPON, 2013).