A newly discovered Pliocene volcanic field on the western Sardinia continental margin (western Mediterranean)

Conforti, Alessandro; Budillon, Francesca; Tonielli, Renato; Falco, Giovanni De

doi:10.1007/s00367-015-0428-0

Cited by 14 publications

(9 citation statements)

References 52 publications

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“…The interpretation of seismic profiles is based on the seismic stratigraphic criteria of Mitchum et al (1977) and is mostly in accordance with former interpretations reported in the literature on the regional geology (Fais et al 1996;Lecca 2000;Casula et al 2001;Conforti et al, 2016). The seismic data analysis and the stratigraphic features of the study site have been described in De Falco et al, Conforti et al, 2016. The maps of seismic facies boundaries has been used as key-beds to define the lower limit of sand reservoirs, called Sand Base (Fig. 4).…”

Section: Seismic Datasupporting

confidence: 82%

“…This deposition area of SSD is located in a small structural basin limited by rocky outcrop, mainly formed by volcanic mounds of Early Pliocene (Conforti et al, 2016 and reference therein).…”

Section: Discussionmentioning

confidence: 99%

“…About 40 volcanic cones mounds, sub-circular in plain view (Fig.6), were recognized on the high-resolution DTM in a sector of approx. 40×20 km 2 (Conforti et al, 2016).…”

Section: Seabed Morphologymentioning

confidence: 99%

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Dataset of Submerged Sand Deposits organised in an interoperable Spatial Data Infrastructure (Western Sardinia, Mediterranean Sea)

Brambilla¹,

Conforti²,

Simeone³

et al. 2018

Preprint

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Abstract. The expected sea level rise by the year 2100 will determine an adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improving of mining technologies will favour an increased exploitation of sand deposits for nourishments, especially for urban beaches and sandy coasts with lowlands behind. Objective of the work is to provide useful tools to support planning actions in the management of sand deposits located in the continental shelf of western Sardinia (western Mediterranean Sea). The work has been realized through the integration of data and information collected during several projects. Available data consist of morpho-bathymetric data (multibeam) associated with morphoacoustic (backscatter) data, collected in the depth range −25 to −700 m. Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) have been acquired along the continental shelf. Also surface sediment samples (Van Veen grab and box corer) and vibrocores have been collected. These data allow mapping of the submerged sand deposits with the determination of their thickness and volumes, and their sedimentological characteristics. Furthermore, it is possible to map the seabed geomorphological features of the continental shelf of western Sardinia. All the available data (doi: https://doi.pangaea.de/10.1594/PANGAEA.895430) have been integrated and organized in a geodatabase implemented through a GIS and the software suite Geoinformation Enabling Toolkit StarterKit® (GET-IT), developed by researchers of the Italian National Research Council for RITMARE project. GET-IT facilitates the creation of distributed nodes of an interoperable Spatial Data Infrastructure (SDI) and enables unskilled researchers from various scientific domains to create their own Open Geospatial Consortium (OGC) standard services for distributing geospatial data, observations and metadata of sensors and datasets. Data distribution through standard services follows the guidelines of the European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard metadata describe each map level, containing identifiers such as data type, origin, property, quality, processing processes to foster data searching and quality assessment.

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Section: Seismic Datasupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Dataset of Submerged Sand Deposits organised in an interoperable Spatial Data Infrastructure (Western Sardinia, Mediterranean Sea)

Brambilla¹,

Conforti²,

Simeone³

et al. 2018

Preprint

Self Cite

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“…The full protection area is 5 Km 2 (Guala et al, 2008), while the remaining zones are intensively frequented by fishermen (Pieraccini, Coppa & De Lucia, 2016). The study area is limited to the bathymetry of 5 ± 1m (mean depth at which the harvesters usually work) and it is subdivided into five fishing sectors (Table 1) Marco area and surrounding Catalano Island (Fais, Klingele & Lecca, 1996;De Falco et al, 2003;Duncan et al, 2011;Conforti et al, 2016); and the Miocene and Quaternary Calcareous rocks located all along the study area coastline (Lecca & Carboni, 2007). These different types of substrate morphology influence the distribution of Posidonia oceanica; the meadow shows a patchy pattern where the matte is on the bedrock and a continuous pattern where the matte lies on the unconsolidated sediments (Fig.2).…”

Section: Manuscript To Be Reviewedmentioning

confidence: 99%

Peer Review #1 of "The challenge of managing the commercial harvesting of the sea urchin Paracentrotus lividus: advanced approaches are required (v0.1)"

2020

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Sea urchins act as a keystone herbivore in marine coastal ecosystems, regulating macrophyte density, which offers refuge for multiple species. In the Mediterranean Sea, both the sea urchin Paracentrotus lividus and fish preying on it are highly valuable target species for artisanal fisheries. As a consequence of the interactions between fish, sea urchins and macrophyte, fishing leads to trophic disorders with detrimental consequences for biodiversity and fisheries. In Sardinia (Western Mediterranean Sea), regulations for sea urchin harvesting have been in place since the mid 90s. However, given the important ecological role of P. lividus, the single-species fishery management may fail to take into account important ecosystem interactions. Hence, a deeper understanding of population dynamics, their dependence on environmental constraints and multispecies interactions may help achieve long-term sustainable use of this resource. This work aims to highlight how sea urchin population structure varies spatially in relation to local environmental constraints and species interactions, with implications for their management. The study area (Sinis Peninsula, West Sardinia, Italy) that includes a Marine Reserve was divided into five sectors. These display combinations of the environmental constraints influencing sea urchin population dynamics, namely type of habitat (calcareous rock, granite, basalt, patchy and continuous meadows of Posidonia oceanica), average bottom current speed and predatory fish abundance. Size-frequency distribution of sea urchins under commercial size (< 5 cm diameter size) assessed during the period from 2004 to 2007, before the population collapse in 2010, were compared for sectors and types of habitat. Specific correlations between recruits (0-1 cm diameter size) and bottom current speeds

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“…There are several examples all around the world on the utilisation of SSDs for nourishment projects (Finkl and Khalil, 2005). In Italy, in the Emilia-Romagna region, a geodatabase named IN_SAND was developed which helps the managers to plan the SSD exploitation (Correggiari et al, 2012(Correggiari et al, , 2016. It is also known that the dredging operation can negatively affect the marine ecosystems and in particular the sessile benthic communities (Rogers, 1990;Desprez, 2000;Erftemeijeret al, 2012;Fraser et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

Brambilla

Conforti

Simeone

et al. 2019

Earth Syst. Sci. Data

Self Cite

View full text Add to dashboard Cite

Abstract. The expected global sea level rise by the year 2100 will determine adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment, especially for urban beaches and sandy coasts with lowlands behind them. The objective of the work is to provide useful tools to support planning in the management of sand deposits located on the continental shelf of Western Sardinia (western Mediterranean Sea). The work has been realised through the integration of data and information collected during several projects. Available data consist of morpho-bathymetric data (multibeam) associated with morphoacoustic (backscatter) data, collected in the depth range −25 to −700 m. Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) has been acquired along the continental shelf. Also, surface sediment samples (Van Veen grab and box corer) and vibrocorers have been collected. These data allow mapping of the submerged sand deposits with the determination of their thickness and volume and their sedimentological characteristics. Furthermore, it is possible to map the seabed geomorphological features of the continental shelf of Western Sardinia. All the available data (https://doi.org/10.1594/PANGAEA.895430) have been integrated and organised in a geodatabase implemented through a GIS and the software suite Geoinformation Enabling ToolkIT StarterKit® (GET-IT), developed by researchers of the Italian National Research Council for RITMARE project. GET-IT facilitates the creation of distributed nodes of an interoperable spatial data infrastructure (SDI) and enables unskilled researchers from various scientific domains to create their own Open Geospatial Consortium (OGC) standard services for distributing geospatial data, observations and metadata of sensors and data sets. Data distribution through standard services follows the guidelines of the European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard metadata describe each map level, containing identifiers such as data type, origin, property, quality, processing processes to foster data searching and quality assessment.

show abstract

A newly discovered Pliocene volcanic field on the western Sardinia continental margin (western Mediterranean)

Cited by 14 publications

References 52 publications

Dataset of Submerged Sand Deposits organised in an interoperable Spatial Data Infrastructure (Western Sardinia, Mediterranean Sea)

Dataset of Submerged Sand Deposits organised in an interoperable Spatial Data Infrastructure (Western Sardinia, Mediterranean Sea)

Peer Review #1 of "The challenge of managing the commercial harvesting of the sea urchin Paracentrotus lividus: advanced approaches are required (v0.1)"

Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

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