Publications by authors named "Maria Elena Cefali"

This study provides with evidence of the presence of sea surface microplastics in a UNESCO marine biosphere reserve: the island of Menorca in the north-western Mediterranean Sea. From a total of 90 samples, in 100% of the samples, microplastics were observed with a mean value of 0.18 ± 0.

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Article Synopsis
  • Extreme storms like Storm Gloria can cause significant and lasting damage to seagrass ecosystems, particularly affecting foundational species like Posidonia oceanica.
  • Following Storm Gloria in January 2020, surveys of seagrass meadows revealed that over half experienced shoot unburial, with some areas having up to 40 cm of sediment removed, while burial affected 10-80% of meadows.
  • The research highlights that more exposed and patchy meadows are more susceptible to such extreme weather events, and it may take decades to centuries for these damaged seagrass ecosystems to recover, emphasizing the need for their protection against human impact.
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In Mediterranean rocky shores, the black sea urchin is often associated with communities dominated by encrusting corallines, devoid of fleshy algae. While it is commonly known as a diurnal herbivore, this species also migrates at night from hidden to more exposed habitats. Here, we provide the first experimental evidence of an adjustment to a predominant nocturnal behaviour in a population of .

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Marine forests dominated by macroalgae have experienced noticeable regression along some temperate and subpolar rocky shores. Along continuously disturbed shores, where natural recovery is extremely difficult, these forests are often permanently replaced by less structured assemblages. Thus, implementation of an active restoration plan emerges as an option to ensure their conservation.

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Species distribution models (SDMs) have been used to predict potential distributions of habitats and to model the effects of environmental changes. Despite their usefulness, currently there is no standardized sampling strategy that provides suitable and sufficiently representative predictive models for littoral marine benthic habitats. Here we aim to establish the best performing and most cost-effective sample design to predict the distribution of littoral habitats in unexplored areas.

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