This data product is an R Shiny application that discloses the data collected by the National Institute of Oceanography and Experimental Geophysics (OGS) in the North Adriatic-Gulf of Trieste LTER. A time series has been built of observations on the species composition of the plankton. The application shows the evolution over time of abundance of major groups of species, as well as the most frequent species (or other taxonomic units) in the dataset. There is also a multivariate representation based on a PCA of abundances of the most frequent species, which shows the seasonal (monthly) fluctuations and the long-term (yearly) trend, and the contribution of each individual species to the temporal evolution of the community.

This data product is an R Shiny application that discloses the data collected by the Institute of Oceanography and Fisheries (IZOR) in Croatia, in the Middle Adriatic (Skejic et al., 2015). A time series has been built of observations on the species composition of the plankton. The application shows the evolution over time of abundance of major groups of species, as well as the most frequent species (or other taxonomic units) in the dataset. There is also a multivariate representation based on a PCA of abundances of the most frequent species, which shows the seasonal (monthly) fluctuations and the long-term (yearly) trend, and the contribution of each individual species to the temporal evolution of the community.

Mixoplankton (sensu Flynn et al., 2019) is a newly introduced term indicating plankton that is capabable of both photosynthesis and phagotrophy. More details are found in Flynn et al., (2019). The potential trophic state can be seen as an inherent characteristic of plankton species. A literature and expert-knowledge study has provided the classification in either phototrophy or mixotrophy which is submitted as traits data to WoRMS. This analysis makes use of this classification to estimate the spatial and temporal distribution of the fraction of mixoplanktonic species in the Greater North Sea including the Celtic Seas. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766327.

This series of products displays the distributions of the main functional types of benthic and bentho-pelagic fish species derived from a multivariate analysis of eight life history traits. Species data from the International Bottom Trawl Survey data base was combined with a compiled list of life history traits. A multivariate analysis of the life history traits revealed four main living modes. Interpolated maps of the relative distribution of the four living modes were generated in DIVAnd, the n-dimensional Data Interpolating Variational Analysis tool.

This series of products displays the main functional types of benthic macroinvertebrates derived from a multivariate analysis of 13 life history traits. Several occurrence lists from EMODnet Biology were combined. A multivariate analysis of the life history traits revealed three main living modes. All final outcomes were interpolated by DIVAnd, the n-dimensional Data Interpolating Variational Analysis tool.

Gridded abundance map of Polychaete worm <i>Marenzelleria</i>. This animated gridded abundance map shows how the species invaded the Baltic Sea from Danish waters in the 1990s and became abundant throughout the whole region. This animation shows that probably multiple invasions occurred at the same time. The species is part of the Descriptor 2, Non Indigenous Species of the MSFD and is being monitored under HELCOM. The product was developed with DIVA (Data-Interpolating Variational Analysis) and shows the log-transformed abundance. Data was provided by Sweden (SMH - Swedish Agency for Marine and Water Management; Swedish Meteorological and Hydrological Institute (SMHI); (2015): SHARK - Marine soft bottom macrozoobenthos monitoring in Sweden since 1971)), Finland (SYKE) and Denmark (Aarhus University - Josefson, A.; Rytter, D.; Department of Bioscience - AU, Denmark; (2015): Danish benthic marine monitoring data from ODAM).

Gridded abundance maps of selected benthos taxa in the North Sea. This product was developed with DIVA (Data-Interpolating Variational Analysis) and the Scale: log-transformed abundance. Data was derived from the 1986 North Sea Benthos Survey (Craeymeersh J., P. Kingston, E. Rachor, G. Duineveld, Carlo Heip, Edward Vanden Berghe, 1986: North Sea Benthos Survey.).

Gridded abundance maps of marine mammals (sperm whale, short beaked common dolphin, common bottlenose dolphin, Atllantic spotted dolphin) around the Azores. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by the Azores Fisheries Observation Programme (POPA).

Gridded abundance maps of marine birds from the North Sea. All the bird species of this dataset are indicator species for Descriptor 1 Biodiversity of the MSFD for the North East Atlantic. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by JNCC (Joint Nature Conservation Committee): Dunn, T. 2012. JNCC seabird distribution and abundance data (all trips) from ESAS database. Data downloaded from OBIS-SEAMAP (http://seamap.env.duke.edu/dataset/427).

Gridded abundance maps of seal species. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by JNCC (Joint Nature Conservation Committee): Dunn, T. 2012. JNCC seabird distribution and abundance data (all trips) from ESAS database. Data downloaded from OBIS-SEAMAP (http://seamap.env.duke.edu/dataset/427).