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Spatial pattern and weight of seabed marine litter in the northern and central Adriatic Sea.
Coralligenous and maërl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea
Bioconstructions such as coralligenous outcrops and maerl beds are typical Mediterranean underwater seascapes. Fine-scale knowledge on the distribution of these sensitive habitats is crucial for…
Effects of two offshore gas platforms on soft-bottom benthic communities (northwestern Adriatic Sea, Italy).
Offshore platforms: comparison of five benthic indicators for assessing the macrozoobenthic stress levels.
Patterns of colonization and succession of benthic assemblages in two artificial substrates
Non-indigenous macrozoobenthic species on hard substrata of selected harbours in the adriatic sea.
Development of an integrated chemical, biological and ecological approach for impact assessment of Mediterranean offshore gas platforms
The pressure for more energy demand is a strong driver for the construction of offshore oil and gas platforms. This also applies to the Adriatic Sea where, since 1960, several gas fields have been…
Using multibeam echosounder datafor a GIS-ready seafloor characterization in the Adriatic Sea
- A. Tassetti, S. Malaspina, E. Punzo, G. Fabi, A. Mancini
- Environmental ScienceOCEANS - Genova
- 18 May 2015
Multibeam Echosounder (MBES) is increasingly becoming suitable for marine habitat mapping and various classification methods, diversifying in terms of classification algorithms, automation and MBES…
CORRIGENDUM: Coralligenous and maërl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea
CORRIGENDUM: Coralligenous and maerl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea
Environmental Impact of Offshore Gas Activities on the Benthic Environment: A Case Study
The present findings suggest that the environmental effects of offshore gas platforms may be difficult to quantify, interpret, and generalize, because they are influenced by numerous, often local, abiotic, and biotic variables in different and unpredictable ways.