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Composition, abundance and biomass of fish assemblages associated to Posidonia oceanica beds sampled by trawling in the north-western Mediterranean Sea
doi: 10.17882/101934
This dataset gathers the names of 86 species of fish as well as their trophic category, abundance and biomass per replicate, sampled by bottom trawling in Posidonia oceanica beds in three main geographic areas (Marseille, Port-Cros Island and Galeria in Corsica) of the Mediterranean French coast. Samples were collected by bottom trawling performed in seagrass meadows between 10 and 40 m depth at different seasons (summer-winter) and period (day-night) at several occasions between 1980 and 2013. This dataset is a witness of the structure, functioning and evolution of fish assemblages in north-western Mediterranean Posidonia oceanica beds.
- University of Wollongong Australia
- Université de Toulon France
- University of New Caledonia New Caledonia
- University of New Caledonia New Caledonia
- Ecologie Marine Tropicale des Océans Pacifique et Indien Réunion
abundance, biomass, marine data, Posidonia oceanica, Corsica, bottom trawl, Fish species, Mediterranean Sea, Marine Science, France, diet, Marseille, Port Cros, Port-Cros
abundance, biomass, marine data, Posidonia oceanica, Corsica, bottom trawl, Fish species, Mediterranean Sea, Marine Science, France, diet, Marseille, Port Cros, Port-Cros
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
