Christos Arvanitidis

Hellenic Centre for Marine Research | hcmr · Institute of Marine Biology, Biotechnology and Aquaculture

The landscape of biodiversity data infrastructures and organisations is complex and fragmented. Many occupy specialised niches representing narrow segments of the multidimensional biodiversity informatics space, while others operate across a broad front, but differ from others by data type(s) handled, their geographic scope and the life cycle phase...

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We provide a review of the environmental threats and gaps in monitoring programmes in European coastal waters based on previous studies, an online questionnaire, and an in-depth assessment of observation scales. Our findings underpin the JERICO-NEXT1 monitoring strategy for the development and integration of coastal observatories in Europe and supp...

Marine data are needed for many purposes: for acquiring a better scientific understanding of the marine environment, but also, increasingly, as marine knowledge for decision making as well as developing products and services supporting economic growth. Data must be of sufficient quality to meet the specific users' needs. It must also be accessible...

We provide a review of the environmental threats and gaps in monitoring programmes in European coastal waters based on previous studies, an online questionnaire, and an in-depth assessment of observation scales. Our findings underpin the JERICO-NEXT¹ monitoring strategy for the development and integration of coastal observatories in Europe, and sup...

Any one collection of objects never tells the whole story. Enabling access to natural history collections by users external to a given institution, has a long history–even that great stay-at-home, Linnaeus, relied on specimens in the hands of others. Neglecting collections outside one’s institution results in duplication and inefficiency, as can be...

As a response to increasing human pressures on marine ecosystems, the legislation aimed at improving the conservation and management of marine coastal areas in European and Contiguous Seas (ECS) underwent crucial advances. ECS, however, still remain largely affected by increasing threats leading to biodiversity loss. Here, by using emblematic case...

Research Infrastructures (RIs) are facilities, resources and services used by the scientific community to conduct research and foster innovation. LifeWatch ERIC has developed various virtual research environments, which include many virtual laboratories (vLabs) offering high computational capacity and comprehensive collaborative platforms that supp...

Research Infrastructures (RIs) are facilities, resources and services used by the scientific community to conduct research and foster innovation. LifeWatch ERIC has developed various virtual research environments, which include many virtual laboratories (vLabs) offering high computational capacity and comprehensive collaborative platforms that supp...

Research Infrastructures (RIs) are facilities, resources and services used by the scientific community to conduct research and foster innovation. LifeWatch ERIC has developed various virtual research environments, which include many virtual laboratories (vLabs) offering high computational capacity and comprehensive collaborative platforms that supp...

The biological works of the Greek philosopher Aristotle include a significant amount of information on marine animals. This study is an overview of Aristotle’s scientific contribution to the knowledge of marine biodiversity and specifically to taxonomic classification, nomenclature and distribution of marine species. Our results show that Aristotle...

Bar chart showing the abundances of the main classes of the Proteobacteria phylum, at the sampling stations AR, Arachthos; ARO, Arachthos Neochori; ARDelta, Arachthos Delta; LOin, Logarou station inside the lagoon; LOout, Logarou station in the channel connecting the lagoon to the gulf; Kal, Kalamitsi.

The fraction of unexplained taxonomic units per habitat The fraction of unexplained taxonomic units per habitat, as it was derived during the functional profiling using UProC KEGG Ortholog reference profiles in long read mode. FTU, fraction of unexplained taxonomic units.

The values of the Mann-Whitney U tests The values of the Mann-Whitney U tests used for the post-hoc pairwise significant comparisons, after the Bonferroni correction. OTUs, total number of OTUs; H’, Shannon-Wiener; J’, Pielou’s evenness; d, Margalef’s species richness; ACE, Abundance Coverage Estimator; AR, Arachthos; ARO, Arachthos Neochori; ARDel...

The fraction of unexplained taxonomic units per sample and averaged per habitat The fraction of unexplained taxonomic units per sample and averaged per habitat, as it was derived during the functional profiling using UProC KEGG Ortholog reference profiles in long read mode. FTU, fraction of unexplained taxonomic units; R, River; L, Lagoon; S, Sea;...

The values of the physicochemical variables of the sampling stations R, River; L, Lagoon; S, Sea; AR, Arachthos; ARO, Arachthos Neochori; ARDelta, Arachthos Delta; LOin, Logarou station inside the lagoon; LOout, Logarou station in the channel connecting the lagoon to the gulf; Kal, Kalamitsi; A, B, C, replicate samples; Chl-a, Chlorophyll-a concent...

Rarefaction curves of the samples The vertical line (raremax =38,209) is the smallest number of individuals per sample to extrapolate the expected number of OTUs if all other samples had only that number of individuals. Rarefaction estimated the expected OTU richness in random subsamples of the community, with each subsample having 38,209 individua...

The retrieved KEGG metabolic profiles for each sample R, River; L, Lagoon; S, Sea; AR, Arachthos; ARO, Arachthos Neochori; ARDelta, Arachthos Delta; LOin, Logarou station inside the lagoon; LOout, Logarou station in the channel connecting the lagoon to the gulf; Kal, Kalamitsi; A, B, C, replicate samples.

Bar chart showing the abundances of the main classes of the Bacteroidetes phylum, at the sampling stations AR, Arachthos; ARO, Arachthos Neochori; ARDelta, Arachthos Delta; LOin, Logarou station inside the lagoon; LOout, Logarou station in the channel connecting the lagoon to the gulf; Kal, Kalamitsi.

The results of the processing of the sequences R, River; L, Lagoon; S, Sea; AR, Arachthos; ARO, Arachthos Neochori; ARDelta, Arachthos Delta; LOin, Logarou station inside the lagoon; LOout, Logarou station in the channel connecting the lagoon to the gulf; Kal, Kalamitsi; A, B, C, replicate samples. a: initial number of paired-end reads; b, number o...

The linear regression equations for the average number of OTUs at the different salinities The linear regression equations for the average number of OTUs per taxonomic group, as well as the average number of OTUs irrespective of taxonomic group, at the different salinities. *, p < 0.05; **, p < 0.01; n.s., not significant; SW, p-value of Shapiro–Wi...

The Chi-Square values of the Kruskal-Wallis tests for the diversity indices between the locations and the habitats OTUs: total number of OTUs. N: total microbial relative abundance values. H’, Shannon-Wiener; J’, Pielou’s evenness; d, Margalef’s species richness; ACE, Abundance Coverage Estimator; *: p < 0.05. **: p < 0.01. n.s., not significant.