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Anna Nora Tassetti is Researcher at the National Research Council, Institute for Biological Resources and Marine Biotechnologies (IRBIM-CNR). She is a civil engineer (2006), with a M.Sc. in Photogrammetry and Geoinformatics at Stuttgart Hochschule für Technik (2008) and a Ph.D. in Geomatics (2010) at Università Politecnica delle Marche. Since 2014 she has been involved in different national/international projects on maritime spatial planning and assessment of the impacts on marine ecosystems induced by human activities, underwater/habitat mapping and spatial fishery data for the sustainable management of bioresources and biodiversity conservation. She is member of the ICES WG on Spatial Fisheries Data, of the FAO AdriaMed WG on Demersal Fisheries Resources and of the FAO MedSudMed WG on Demersal Fisheries. She has published over 30 peer reviewed scientific papers and more than other publications (i.e. datasets, technical reports, conference proceedings).
The paper presents a database of information on wrecks, natural and artificial reefs located in the Adriatic Sea, collected within the framework of the Interreg Italy–Croatia project ADRIREEF – Innovative exploitation of Adriatic Reefs in order to strengthen Blue Economy. The data collection lasted more than 1 year and included three surveys and a wide literature review. After being collected, data were harmonized and, where possible, made machine-readable. Moreover, data were widely metadated, published in a WebGIS (https://adrireef.github.io/sandbox3/, last access: 3 May 2021), and shared as open data in EMODnet (European Marine Observation and Data Network) Data Ingestion Portal through the SEANOE repository (Ferrà et al., 2020; https://doi.org/10.17882/74880). The database is composed of 285 three-dimensional records, each one described by 51 attributes. Parameters are clustered in four main groups: identification, reef description, site description, and management/exploitation information. Available literature (scientific and/or grey) was also included in the database and linked to the corresponding site.
Annalisa Minelli; Carmen Ferrà; Alessandra Spagnolo; Martina Scanu; Anna Nora Tassetti; Carla Rita Ferrari; Cristina Mazziotti; Silvia Pigozzi; Zrinka Jakl; Tena Šarčević; Miranda Šimac; Claudia Kruschel; Dubravko Pejdo; Enrico Barbone; Michele De Gioia; Diego Borme; Emiliano Gordini; Rocco Auriemma; Ivo Benzon; Đeni Vuković-Stanišić; Sandi Orlić; Vlado Frančić; Damir Zec; Ivana Orlić Kapović; Michela Soldati; Silvia Ulazzi; Gianna Fabi. The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea. Earth System Science Data 2021, 13, 1905 -1923.
AMA StyleAnnalisa Minelli, Carmen Ferrà, Alessandra Spagnolo, Martina Scanu, Anna Nora Tassetti, Carla Rita Ferrari, Cristina Mazziotti, Silvia Pigozzi, Zrinka Jakl, Tena Šarčević, Miranda Šimac, Claudia Kruschel, Dubravko Pejdo, Enrico Barbone, Michele De Gioia, Diego Borme, Emiliano Gordini, Rocco Auriemma, Ivo Benzon, Đeni Vuković-Stanišić, Sandi Orlić, Vlado Frančić, Damir Zec, Ivana Orlić Kapović, Michela Soldati, Silvia Ulazzi, Gianna Fabi. The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea. Earth System Science Data. 2021; 13 (5):1905-1923.
Chicago/Turabian StyleAnnalisa Minelli; Carmen Ferrà; Alessandra Spagnolo; Martina Scanu; Anna Nora Tassetti; Carla Rita Ferrari; Cristina Mazziotti; Silvia Pigozzi; Zrinka Jakl; Tena Šarčević; Miranda Šimac; Claudia Kruschel; Dubravko Pejdo; Enrico Barbone; Michele De Gioia; Diego Borme; Emiliano Gordini; Rocco Auriemma; Ivo Benzon; Đeni Vuković-Stanišić; Sandi Orlić; Vlado Frančić; Damir Zec; Ivana Orlić Kapović; Michela Soldati; Silvia Ulazzi; Gianna Fabi. 2021. "The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea." Earth System Science Data 13, no. 5: 1905-1923.
In the Mediterranean Sea, fishing vessels often operates throughout the geographical subdivisions adopted for statistical data collection (Geographical Sub-Areas; GSAs), causing a potential mismatch between catches site and reporting site. This paper provides a quantitative assessment of the fluxes of fishing activity of bottom trawlers across the Mediterranean Sea, by analyzing the Automatic Identification System (AIS) data broadcasted in 2017. Fishing activity was analyzed from three perspectives: fishing site, port of arrival and registration site of the vessel. For each GSA, a “fidelity score” was calculated to quantify the proportion of fishing time spent in the home GSA; an “intrusion score” was computed to quantify the effort deployed by vessels registered elsewhere. Major vessel fluxes were detected between GSAs, and fleets were classified based on their mobility. Areas showing fleet overlaps were identified and those characterized by the largest overlaps were selected as case studies. The lowest fidelity scores were observed in the central Mediterranean (GSAs 11.2, 15, 16 and 18), while the highest intrusion score was recorded in the southern Mediterranean and around Crete. The vessels responsible of the largest fluxes were those registered in GSAs 16, 18, and 6. The case studies included: GSAs 23, where several fleets exploited narrow slope areas; GSA 13, where multiple fleets overlapped in a relatively wide area; and GSA 17, where two fleets overlapped in a wide platform area. Mobility was distinguished in short-range – involving platform areas of contiguous GSAs – and long-range – involving slope areas of non-contiguous GSAs.
Enrico Nicola Armelloni; Anna Nora Tassetti; Carmen Ferrà; Alessandro Galdelli; Martina Scanu; Adriano Mancini; Gianna Fabi; Giuseppe Scarcella. AIS data, a mine of information on trawling fleet mobility in the Mediterranean Sea. Marine Policy 2021, 129, 104571 .
AMA StyleEnrico Nicola Armelloni, Anna Nora Tassetti, Carmen Ferrà, Alessandro Galdelli, Martina Scanu, Adriano Mancini, Gianna Fabi, Giuseppe Scarcella. AIS data, a mine of information on trawling fleet mobility in the Mediterranean Sea. Marine Policy. 2021; 129 ():104571.
Chicago/Turabian StyleEnrico Nicola Armelloni; Anna Nora Tassetti; Carmen Ferrà; Alessandro Galdelli; Martina Scanu; Adriano Mancini; Gianna Fabi; Giuseppe Scarcella. 2021. "AIS data, a mine of information on trawling fleet mobility in the Mediterranean Sea." Marine Policy 129, no. : 104571.
Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column studies. However, they rapidly collect huge volumes of data, which poses a challenge for water column data processing that is often still manual and time-consuming, or affected by low efficiency and high false detection rates if automated. This research describes a comprehensive and reproducible workflow that improves efficiency and reliability of target detection and classification, by calculating metrics for target cross-sections using a commercial software before feeding into a feature-based semi-supervised machine learning framework. The method is tested with data collected from an uncalibrated multibeam echosounder around an offshore gas platform in the Adriatic Sea. It resulted in more-efficient target detection, and, although uncertainties regarding user labelled training data need to be underlined, an accuracy of 98% in target classification was reached by using a final pre-trained stacking ensemble model.
Annalisa Minelli; Anna Tassetti; Briony Hutton; Gerardo Pezzuti Cozzolino; Toby Jarvis; Gianna Fabi. Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder. Sensors 2021, 21, 2999 .
AMA StyleAnnalisa Minelli, Anna Tassetti, Briony Hutton, Gerardo Pezzuti Cozzolino, Toby Jarvis, Gianna Fabi. Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder. Sensors. 2021; 21 (9):2999.
Chicago/Turabian StyleAnnalisa Minelli; Anna Tassetti; Briony Hutton; Gerardo Pezzuti Cozzolino; Toby Jarvis; Gianna Fabi. 2021. "Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder." Sensors 21, no. 9: 2999.
Maritime traffic and fishing activities have accelerated considerably over the last decade, with a consequent impact on the environment and marine resources. Meanwhile, a growing number of ship-reporting technologies and remote-sensing systems are generating an overwhelming amount of spatio-temporal and geographically distributed data related to large-scale vessels and their movements. Individual technologies have distinct limitations but, when combined, can provide a better view of what is happening at sea, lead to effectively monitor fishing activities, and help tackle the investigations of suspicious behaviors in close proximity of managed areas. The paper integrates non-cooperative Synthetic Aperture Radar (SAR) Sentinel-1 images and cooperative Automatic Identification System (AIS) data, by proposing two types of associations: (i) point-to-point and (ii) point-to-line. They allow the fusion of ship positions and highlight “suspicious” AIS data gaps in close proximity of managed areas that can be further investigated only once the vessel—and the gear it adopts—is known. This is addressed by a machine-learning approach based on the Fast Fourier Transform that classifies single sea trips. The approach is tested on a case study in the central Adriatic Sea, automatically reporting AIS-SAR associations and seeking ships that are not broadcasting their positions (intentionally or not). Results allow the discrimination of collaborative and non-collaborative ships, playing a key role in detecting potential suspect behaviors especially in close proximity of managed areas.
Alessandro Galdelli; Adriano Mancini; Carmen Ferrà; Anna Tassetti. A Synergic Integration of AIS Data and SAR Imagery to Monitor Fisheries and Detect Suspicious Activities. Sensors 2021, 21, 2756 .
AMA StyleAlessandro Galdelli, Adriano Mancini, Carmen Ferrà, Anna Tassetti. A Synergic Integration of AIS Data and SAR Imagery to Monitor Fisheries and Detect Suspicious Activities. Sensors. 2021; 21 (8):2756.
Chicago/Turabian StyleAlessandro Galdelli; Adriano Mancini; Carmen Ferrà; Anna Tassetti. 2021. "A Synergic Integration of AIS Data and SAR Imagery to Monitor Fisheries and Detect Suspicious Activities." Sensors 21, no. 8: 2756.
Human pressures on marine ecosystems significantly increased during last decades. Among the intense anthropic activities, industrial fisheries have caused the alteration of habitats, the reduction of biodiversity and the main fish stocks. The aim of this research, carried out in the Adriatic Sea, was to test a repeatable Marine Spatial Planning framework aimed at enhancing fisheries sustainability through the application of Decision Support Tools and the composition of a catalog of possible measures. The use of these tools proved very useful to identify possible criticalities and facilitate an effective exchange with fisheries stakeholders, local authorities, and fishermen, whose involvement was an indispensable step in the process. Tool-based analyses allowed to assess the spatial footprint of a range of anthropogenic pressures from human activities (e.g., fisheries, maritime traffic, and aquaculture). Within this multi-pressure scenario, special attention was paid to fishing-related disturbances and potential conflicts across different fishing métier and with other sectors. Specifically, results highlighted the spatial features of the major fishing pressures (e.g., abrasion from trawling) affecting essential fish habitats, marine mammals and turtles in the study area. A portfolio of possible management measures is identified for the study area. It provides clear evidence that, in order to mitigate emerging conflicts and cumulative impacts, it is necessary to combine and integrate different types of measures: spatial measures modulated over time, monitoring and control, actions to fill knowledge gaps, concertation—involvement—co-management actions, improvement of governance systems, actions to support innovation in the sector, etc. Given the complex set of measures discussed, this work can provide a useful contribution to the management of fisheries both at local and regional level, fostering the transition to sustainable fisheries.
Giulio Farella; Anna Tassetti; Stefano Menegon; Martina Bocci; Carmen Ferrà; Fabio Grati; Amedeo Fadini; Otello Giovanardi; Gianna Fabi; Saša Raicevich; Andrea Barbanti. Ecosystem-Based MSP for Enhanced Fisheries Sustainability: An Example from the Northern Adriatic (Chioggia—Venice and Rovigo, Italy). Sustainability 2021, 13, 1211 .
AMA StyleGiulio Farella, Anna Tassetti, Stefano Menegon, Martina Bocci, Carmen Ferrà, Fabio Grati, Amedeo Fadini, Otello Giovanardi, Gianna Fabi, Saša Raicevich, Andrea Barbanti. Ecosystem-Based MSP for Enhanced Fisheries Sustainability: An Example from the Northern Adriatic (Chioggia—Venice and Rovigo, Italy). Sustainability. 2021; 13 (3):1211.
Chicago/Turabian StyleGiulio Farella; Anna Tassetti; Stefano Menegon; Martina Bocci; Carmen Ferrà; Fabio Grati; Amedeo Fadini; Otello Giovanardi; Gianna Fabi; Saša Raicevich; Andrea Barbanti. 2021. "Ecosystem-Based MSP for Enhanced Fisheries Sustainability: An Example from the Northern Adriatic (Chioggia—Venice and Rovigo, Italy)." Sustainability 13, no. 3: 1211.
The paper presents a database of information on wrecks, natural and artificial reefs located in the Adriatic Sea, collected within the framework of the Interreg Italy-Croatia project ADRIREEF – Innovative exploitation of Adriatic Reefs in order to strengthen Blue Economy. The data collection lasted more than one year and comprehended three surveys and a wide literature review. After being collected, data were harmonized and, where possible, made machine-readable. Moreover, data were widely metadated, published in a webGIS (https://adrireef.github.io/sandbox3/) and shared as Open Data in EMODnet (European Marine Observation Data network) through the SEANOE repository (Ferrà et al., 2020; http://doi.org/10.17882/74880). The database is composed of 285 three-dimensional records, each one described by 51 attributes. Parameters are clustered in four main groups: identification, reef and site description, management/exploitation information. Available literature (scientific and/or grey) was also included in the database and linked to the corresponding site.
Annalisa Minelli; Carmen Ferrà; Alessandra Spagnolo; Martina Scanu; Anna Nora Tassetti; Carla Rita Ferrari; Cristina Mazziotti; Silvia Pigozzi; Zrinka Jakl; Tena Šarčević; Miranda Šimac; Claudia Kruschel; Dubravko Pejdo; Enrico Barbone; Michele De Gioia; Diego Borme; Emiliano Gordini; Rocco Auriemma; Ivo Benzon; Đeni Vuković-Stanišić; Sandi Orlić; Vlado Frančić; Damir Zec; Ivana Orlić Kapović; Michela Soldati; Silvia Ulazzi; Gianna Fabi. The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea. 2020, 2020, 1 -29.
AMA StyleAnnalisa Minelli, Carmen Ferrà, Alessandra Spagnolo, Martina Scanu, Anna Nora Tassetti, Carla Rita Ferrari, Cristina Mazziotti, Silvia Pigozzi, Zrinka Jakl, Tena Šarčević, Miranda Šimac, Claudia Kruschel, Dubravko Pejdo, Enrico Barbone, Michele De Gioia, Diego Borme, Emiliano Gordini, Rocco Auriemma, Ivo Benzon, Đeni Vuković-Stanišić, Sandi Orlić, Vlado Frančić, Damir Zec, Ivana Orlić Kapović, Michela Soldati, Silvia Ulazzi, Gianna Fabi. The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea. . 2020; 2020 ():1-29.
Chicago/Turabian StyleAnnalisa Minelli; Carmen Ferrà; Alessandra Spagnolo; Martina Scanu; Anna Nora Tassetti; Carla Rita Ferrari; Cristina Mazziotti; Silvia Pigozzi; Zrinka Jakl; Tena Šarčević; Miranda Šimac; Claudia Kruschel; Dubravko Pejdo; Enrico Barbone; Michele De Gioia; Diego Borme; Emiliano Gordini; Rocco Auriemma; Ivo Benzon; Đeni Vuković-Stanišić; Sandi Orlić; Vlado Frančić; Damir Zec; Ivana Orlić Kapović; Michela Soldati; Silvia Ulazzi; Gianna Fabi. 2020. "The ADRIREEF database: a comprehensive collection of natural/artificial reefs and wrecks in the Adriatic Sea." 2020, no. : 1-29.
In the past decades, the Automatic Identification System (AIS) has been employed in numerous research fields as a valuable tool for, among other things, Maritime Domain Awareness and Maritime Spatial Planning. In contrast, its use in fisheries management is hampered by coverage and transmission gaps. Transmission gaps may be due to technical limitations (e.g., weak signal or interference with other signals) or to deliberate switching off of the system, to conceal fishing activities. In either case such gaps may result in underestimating fishing effort and pressure. This study was undertaken to map and analyze bottom trawler transmission gaps in terms of duration and distance from the harbor with a view to quantifying unobserved fishing and its effects on overall trawling pressure. Here we present the first map of bottom trawler AIS transmission gaps in the Mediterranean Sea and a revised estimate of fishing effort if some gaps are considered as actual fishing.
Carmen Ferrà; Anna Nora Tassetti; Enrico Nicola Armelloni; Alessandro Galdelli; Giuseppe Scarcella; Gianna Fabi. Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea. Frontiers in Marine Science 2020, 7, 1 .
AMA StyleCarmen Ferrà, Anna Nora Tassetti, Enrico Nicola Armelloni, Alessandro Galdelli, Giuseppe Scarcella, Gianna Fabi. Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea. Frontiers in Marine Science. 2020; 7 ():1.
Chicago/Turabian StyleCarmen Ferrà; Anna Nora Tassetti; Enrico Nicola Armelloni; Alessandro Galdelli; Giuseppe Scarcella; Gianna Fabi. 2020. "Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea." Frontiers in Marine Science 7, no. : 1.
Hydrocarbon seepage is overlooked in the marine environment, mostly due to the lack of high-resolution exploration data. This contribution is about the set-up of a relocatable and cost-effective monitoring system, which was tested on two seepages in the Central Adriatic Sea. The two case studies are an oil spill at a water depth of 10 m and scattered biogenic methane seeps at a water depth of 84 m. Gas plumes in the water column were detected with a multibeam system, tightened to sub-seafloor seismic reflection data. Dissolved benthic fluxes of nutrients, metals and Dissolved Inorganic Carbon (DIC) were measured by in situ deployment of a benthic chamber, which was used also for the first time to collect water samples for hydrocarbons characterization. In addition, the concentration of polycyclic aromatic hydrocarbons, as well as major and trace elements were analyzed to provide an estimate of hydrocarbon contamination in the surrounding sediment and to make further inferences on the petroleum system.
Marzia Rovere; Alessandra Mercorella; Emanuela Frapiccini; Valerio Funari; Federico Spagnoli; Claudio Pellegrini; Andree Soledad Bonetti; Tiziana Veneruso; Anna Nora Tassetti; Marcello Dell’Orso; Marco Mastroianni; Giordano Giuliani; Rocco De Marco; Gianna Fabi; Francesco Ciccone; Ilaria Antoncecchi. Geochemical and Geophysical Monitoring of Hydrocarbon Seepage in the Adriatic Sea †. Sensors 2020, 20, 1504 .
AMA StyleMarzia Rovere, Alessandra Mercorella, Emanuela Frapiccini, Valerio Funari, Federico Spagnoli, Claudio Pellegrini, Andree Soledad Bonetti, Tiziana Veneruso, Anna Nora Tassetti, Marcello Dell’Orso, Marco Mastroianni, Giordano Giuliani, Rocco De Marco, Gianna Fabi, Francesco Ciccone, Ilaria Antoncecchi. Geochemical and Geophysical Monitoring of Hydrocarbon Seepage in the Adriatic Sea †. Sensors. 2020; 20 (5):1504.
Chicago/Turabian StyleMarzia Rovere; Alessandra Mercorella; Emanuela Frapiccini; Valerio Funari; Federico Spagnoli; Claudio Pellegrini; Andree Soledad Bonetti; Tiziana Veneruso; Anna Nora Tassetti; Marcello Dell’Orso; Marco Mastroianni; Giordano Giuliani; Rocco De Marco; Gianna Fabi; Francesco Ciccone; Ilaria Antoncecchi. 2020. "Geochemical and Geophysical Monitoring of Hydrocarbon Seepage in the Adriatic Sea †." Sensors 20, no. 5: 1504.
Descriptive and spatially-explicit information on fisheries plays a key role for an efficient integrated management of the maritime activities and the sustainable use of marine resources. However, this information is today still hard to obtain and, consequently, is a major issue for implementing Marine Spatial Planning (MSP). Since 2002, the Automatic Identification System (AIS) has been undergoing a major development allowing now for a real time geo-tracking and identification of equipped vessels of more than 15m in length overall (LOA) and, if properly processed, for the production of adequate information for MSP. Such monitoring systems or other low-cost and low-burden solutions are still missing for small vessels (LOA < 12m), whose catches and fishing effort remain spatially unassessed and, hence, unregulated. In this context, we propose an architecture to process vessel tracking data, understand the behaviour of trawling fleets and map related fishing activities. It could be used to process not only AIS data but also positioning data from other low cost systems as IoT sensors that share their position over LoRa and 2G/3G/4G links. Analysis gives back important and verified data (overall accuracy of 92% for trawlers) and opens up development perspectives for monitoring small scale fisheries, helping hence to fill fishery data gaps and obtain a clearer picture of the fishing grounds as a whole.
A. Galdelli; A. Mancini; Anna Nora Tassetti; Carmen Ferrà; E. Armelloni; Giuseppe Scarcella; G. Fabi; P. Zingaretti. A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data. Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications 2019, 1 .
AMA StyleA. Galdelli, A. Mancini, Anna Nora Tassetti, Carmen Ferrà, E. Armelloni, Giuseppe Scarcella, G. Fabi, P. Zingaretti. A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data. Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications. 2019; ():1.
Chicago/Turabian StyleA. Galdelli; A. Mancini; Anna Nora Tassetti; Carmen Ferrà; E. Armelloni; Giuseppe Scarcella; G. Fabi; P. Zingaretti. 2019. "A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data." Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications , no. : 1.
The currently existing Biological Protection Areas (BPAs) are Italian conservation measures specifically oriented to preserve/recover commercial fish stocks through the regulation or ban of few fishing activities. Although BPAs have been well identified/designed within the Italian national waters, neither data on their effects on fishery resources nor on the fishers’ compliance with these no-take regulations are yet available. In this context, the present study was aimed to investigate how AIS data processing could be used to map patterns in fishing activity within/around small regulated areas and rate the effectiveness of the conservation measures in place. To do this, it was impossible not to address the issue surrounding well-known and substantial gaps in data coverage and attempt an estimate of them by flagging events when AIS had been switched off within/around BPAs. Results highlighted that almost all the BPAs are illegally trawled and that, unless additional legislation is effected to regulate the use of AIS by fishing vessels, it may provide a useful source of information to map fishing activities stated that the data are interpreted in an appropriate way.
A.N. Tassetti; C. Ferrà; G. Fabi. Rating the effectiveness of fishery-regulated areas with AIS data. Ocean & Coastal Management 2019, 175, 90 -97.
AMA StyleA.N. Tassetti, C. Ferrà, G. Fabi. Rating the effectiveness of fishery-regulated areas with AIS data. Ocean & Coastal Management. 2019; 175 ():90-97.
Chicago/Turabian StyleA.N. Tassetti; C. Ferrà; G. Fabi. 2019. "Rating the effectiveness of fishery-regulated areas with AIS data." Ocean & Coastal Management 175, no. : 90-97.
Seabed debris is much less investigated in respect to the sea surface and shores due to sampling difficulties and costs. However, detecting marine benthic litter is fundamental for developing policies aimed at achieving the Good Environmental Status in European Seas by 2020, as requested by the Marine Strategy Framework Directive. This study estimates seafloor litter abundance, composition, spatial distribution and main sources in the North-Central Adriatic Sea (FAO GSA 17) over a six-year period (2011–2016) with 67 stations sampled per year, representing the longest data set for the basin. Litter items collected using a “rapido” trawl were classified in six major categories. The average density of the litter collected over six years was 102.66 ± 41.91 kg/km2. The highest concentration of litter was found in stations close to the coast within 30 m depth with a mean weight of 142.90 ± 27.20 kg/km2, while the lowest value was recorded between 30 and 50 m of depth (41.12 ± 9.62 kg/km2). Plastic was dominant followed by metal and other litter materials. Lost fishing nets and mussel culture debris accounted for 50% of the overall plastic litter collected. These data and the systematic monitoring of marine litter provide useful information to implement necessary measures to manage marine litter and minimize this type of anthropogenic pollution in the Adriatic region.
P. Strafella; G. Fabi; M. Despalatovic; I. Cvitković; T. Fortibuoni; A. Gomiero; S. Guicciardi; B. Marceta; S. Raicevich; A.N. Tassetti; A. Spagnolo; G. Scarcella. Assessment of seabed litter in the Northern and Central Adriatic Sea (Mediterranean) over six years. Marine Pollution Bulletin 2019, 141, 24 -35.
AMA StyleP. Strafella, G. Fabi, M. Despalatovic, I. Cvitković, T. Fortibuoni, A. Gomiero, S. Guicciardi, B. Marceta, S. Raicevich, A.N. Tassetti, A. Spagnolo, G. Scarcella. Assessment of seabed litter in the Northern and Central Adriatic Sea (Mediterranean) over six years. Marine Pollution Bulletin. 2019; 141 ():24-35.
Chicago/Turabian StyleP. Strafella; G. Fabi; M. Despalatovic; I. Cvitković; T. Fortibuoni; A. Gomiero; S. Guicciardi; B. Marceta; S. Raicevich; A.N. Tassetti; A. Spagnolo; G. Scarcella. 2019. "Assessment of seabed litter in the Northern and Central Adriatic Sea (Mediterranean) over six years." Marine Pollution Bulletin 141, no. : 24-35.
A growing concern about the depletion of marine resources due to fishing overexploitation and degradation of ecosystems has been demonstrated over the last decade. Monitoring the spatial and temporal distribution of fishing activities is an important tool for fisheries management which can also be used by other sectors such as fisheries science, public authorities, policy-makers and marine spatial planning. In this paper we introduce the first map of fishing activity at a Mediterranean scale of EU and non-EU fishing vessels, extracted using Automatic Identification System ship tracking data. Fishing activity maps were produced for three different years with a spatial resolution of 0.01° × 0.01°. As a main result, for the first time, changes of bottom trawl fishing activities between two consecutive years were map for the whole Mediterranean Sea. The results confirmed the suitability of this monitoring system to obtain reliable information on the extent of bottom trawl fishing activities.
Carmen Ferrà; Anna Nora Tassetti; Fabio Grati; Giulio Pellini; Piero Polidori; Giuseppe Scarcella; Gianna Fabi. Mapping change in bottom trawling activity in the Mediterranean Sea through AIS data. Marine Policy 2018, 94, 275 -281.
AMA StyleCarmen Ferrà, Anna Nora Tassetti, Fabio Grati, Giulio Pellini, Piero Polidori, Giuseppe Scarcella, Gianna Fabi. Mapping change in bottom trawling activity in the Mediterranean Sea through AIS data. Marine Policy. 2018; 94 ():275-281.
Chicago/Turabian StyleCarmen Ferrà; Anna Nora Tassetti; Fabio Grati; Giulio Pellini; Piero Polidori; Giuseppe Scarcella; Gianna Fabi. 2018. "Mapping change in bottom trawling activity in the Mediterranean Sea through AIS data." Marine Policy 94, no. : 275-281.
Micro-plastic particles in the world's oceans represent a serious threat to both human health and marine ecosystems. Once released into the aquatic environment plastic litter is broken down to smaller pieces through photo-degradation and the physical actions of waves, wind, etc. The resulting particles may become so small that they are readily taken up by fish, crustaceans and mollusks. There is mounting evidence for the uptake of plastic particles by marine organisms that form part of the human food chain and this is driving urgent calls for further and deeper investigations into this pollution issue. The present study aimed at investigating for the first time the occurrence, amount, typology of microplastic litter in the gastrointestinal tract of Solea solea and its spatial distribution in the northern and central Adriatic Sea. This benthic flatfish was selected as it is a species of high commercial interest within the FAO GFCM (General Fisheries Commission for the Mediterranean) area 37 (Mediterranean and Black Sea) where around 15% of the overall global Solea solea production originates. The digestive tract contents of 533 individuals collected in fall during 2014 and 2015 from 60 sampling sites were examined for microplastics. These were recorded in 95% of sampled fish, with more than one microplastic item found in around 80% of the examined specimens. The most commonly found polymers were polyvinyl chloride, polypropylene, polyethylene, polyester, and polyamide, 72% as fragments and 28% as fibers. The mean number of ingested microplastics was 1.73 ± 0.05 items per fish in 2014 and 1.64 ± 0.1 in 2015. PVC and PA showed the highest densities in the northern Adriatic Sea, both inshore and off-shore while PE, PP and PET were more concentrated in coastal areas with the highest values offshore from the port of Rimini.
G. Pellini; A. Gomiero; T. Fortibuoni; Carmen Ferrà; Fabio Grati; A.N. Tassetti; P. Polidori; G. Fabi; Giuseppe Scarcella. Characterization of microplastic litter in the gastrointestinal tract of Solea solea from the Adriatic Sea. Environmental Pollution 2018, 234, 943 -952.
AMA StyleG. Pellini, A. Gomiero, T. Fortibuoni, Carmen Ferrà, Fabio Grati, A.N. Tassetti, P. Polidori, G. Fabi, Giuseppe Scarcella. Characterization of microplastic litter in the gastrointestinal tract of Solea solea from the Adriatic Sea. Environmental Pollution. 2018; 234 ():943-952.
Chicago/Turabian StyleG. Pellini; A. Gomiero; T. Fortibuoni; Carmen Ferrà; Fabio Grati; A.N. Tassetti; P. Polidori; G. Fabi; Giuseppe Scarcella. 2018. "Characterization of microplastic litter in the gastrointestinal tract of Solea solea from the Adriatic Sea." Environmental Pollution 234, no. : 943-952.
Plastic is widely used in everyday life being one of the more versatile materials ever produced. The rising demand of plastic items to support the societal development has dramatically boosted the annual plastic production from 1.5 in the 1950s to 311 million tonnes in 2014 (PlasticEurope in Plastic-the Facts 2015: an analysis of European plastic production, demand, and waste data, 2014). The dark side of the plastic revolution is the marine pollution, with an estimated amount of 9.5 million tonnes of new plastic waste flowing into the oceans each year (Boucher and Friot in Primary microplastics in the oceans: a global evaluation of sources. IUCN, Gland, p. 43, 2017).
Giulio Pellini; Alessio Gomiero; Tomaso Fortibuoni; Gianna Fabi; Fabio Grati; Anna Nora Tassetti; Piero Polidori; Carmen Ferra Vega; Giuseppe Scarcella. Plastic Soles: Microplastic Litter in the Gastrointestinal Tract of Solea solea from the Adriatic Sea. Springer Water 2017, 137 -149.
AMA StyleGiulio Pellini, Alessio Gomiero, Tomaso Fortibuoni, Gianna Fabi, Fabio Grati, Anna Nora Tassetti, Piero Polidori, Carmen Ferra Vega, Giuseppe Scarcella. Plastic Soles: Microplastic Litter in the Gastrointestinal Tract of Solea solea from the Adriatic Sea. Springer Water. 2017; ():137-149.
Chicago/Turabian StyleGiulio Pellini; Alessio Gomiero; Tomaso Fortibuoni; Gianna Fabi; Fabio Grati; Anna Nora Tassetti; Piero Polidori; Carmen Ferra Vega; Giuseppe Scarcella. 2017. "Plastic Soles: Microplastic Litter in the Gastrointestinal Tract of Solea solea from the Adriatic Sea." Springer Water , no. : 137-149.
Morphological analysis, molecular characterization, and information on distribution and density of Anadara kagoshimensis (Tokunaga, 1906) specimens collected in the Adriatic Sea were here carried out as based on various material and data from five surveys conducted from 2010 to 2014, for a total of 329 bottom trawl hauls. The morphological and molecular analyses allowed to clarify the confused taxonomy regarding the biggest ark clam alien species invading the Italian waters and the Mediterranean Sea. The analysis on distribution and density revealed that A. kagoshimensis mostly occurs along the Italian coast at depths from 8 to 50 m, with a catch frequency of more than 98% in all hauls performed on silty-clay sediment at 8-30 m depth. The hotspot map clearly shows a reduction of its distribution area from 2010 to 2012.
Pierluigi Strafella; Alice Ferrari; Gianna Fabi; Vera Salvalaggio; Elisa Punzo; Clara Cuicchi; Angela Santelli; Alessia Cariani; Fausto Tinti; Anna Nora Tassetti; Giuseppe Scarcella. Anadara kagoshimensis (Mollusca: Bivalvia: Arcidae) in Adriatic Sea: morphological analysis, molecular taxonomy, spatial distribution, and prediction. Mediterranean Marine Science 2017, 443 -453.
AMA StylePierluigi Strafella, Alice Ferrari, Gianna Fabi, Vera Salvalaggio, Elisa Punzo, Clara Cuicchi, Angela Santelli, Alessia Cariani, Fausto Tinti, Anna Nora Tassetti, Giuseppe Scarcella. Anadara kagoshimensis (Mollusca: Bivalvia: Arcidae) in Adriatic Sea: morphological analysis, molecular taxonomy, spatial distribution, and prediction. Mediterranean Marine Science. 2017; ():443-453.
Chicago/Turabian StylePierluigi Strafella; Alice Ferrari; Gianna Fabi; Vera Salvalaggio; Elisa Punzo; Clara Cuicchi; Angela Santelli; Alessia Cariani; Fausto Tinti; Anna Nora Tassetti; Giuseppe Scarcella. 2017. "Anadara kagoshimensis (Mollusca: Bivalvia: Arcidae) in Adriatic Sea: morphological analysis, molecular taxonomy, spatial distribution, and prediction." Mediterranean Marine Science , no. : 443-453.
Multidisciplinary monitoring of the impact of offshore gas platforms on northern and central Adriatic marine ecosystems has been conducted since 1998. Beginning in 2006, 4–5 year investigations spanning the period before, during, and after rig installation have explored the effects of its construction and presence on macrozoobenthic communities, sediment, water quality, pollutant bioaccumulation, and fish assemblages. In this study, sediment samples collected at increasing distance from an offshore gas platform before, during and after its construction were subjected to chemical analysis and assessment of benthic communities. Ecological indices were calculated to evaluate the ecological status of the area. Ecotoxicological analysis of sediment was performed to establish whether pollutants are transferred to biota. The study applied a before–after control-impact design to assess the effects of rig construction and presence and provide reference data on the possible impacts of any further expansion of the gas extraction industry in the already heavily exploited Adriatic Sea. Only some of the metals investigated (barium, chromium, cadmium, and zinc) showed a different spatial and/or temporal distribution that may be platform-related. In the early phases, the sediment concentrations of polycyclic aromatic hydrocarbons were below the detection limit at all sites; they then became detectable, but without significant spatial differences. 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.
E. Punzo; Alessio Gomiero; A. N. Tassetti; Pierluigi Strafella; A. Santelli; Vera Salvalaggio; A. Spagnolo; Giuseppe Scarcella; A. M. De Biasi; L. Kozinkova; G. Fabi. Environmental Impact of Offshore Gas Activities on the Benthic Environment: A Case Study. Environmental Management 2017, 60, 340 -356.
AMA StyleE. Punzo, Alessio Gomiero, A. N. Tassetti, Pierluigi Strafella, A. Santelli, Vera Salvalaggio, A. Spagnolo, Giuseppe Scarcella, A. M. De Biasi, L. Kozinkova, G. Fabi. Environmental Impact of Offshore Gas Activities on the Benthic Environment: A Case Study. Environmental Management. 2017; 60 (2):340-356.
Chicago/Turabian StyleE. Punzo; Alessio Gomiero; A. N. Tassetti; Pierluigi Strafella; A. Santelli; Vera Salvalaggio; A. Spagnolo; Giuseppe Scarcella; A. M. De Biasi; L. Kozinkova; G. Fabi. 2017. "Environmental Impact of Offshore Gas Activities on the Benthic Environment: A Case Study." Environmental Management 60, no. 2: 340-356.
A. Santelli; I. Cvitković; M. Despalatović; G. Fabi; Fabio Grati; B. Marčeta; E. Punzo; Saša Raicevich; Pierluigi Strafella; A. Spagnolo; Anna Nora Tassetti; Giuseppe Scarcella. Spatial persistence of megazoobenthic assemblages in the Adriatic Sea. Marine Ecology Progress Series 2017, 566, 31 -48.
AMA StyleA. Santelli, I. Cvitković, M. Despalatović, G. Fabi, Fabio Grati, B. Marčeta, E. Punzo, Saša Raicevich, Pierluigi Strafella, A. Spagnolo, Anna Nora Tassetti, Giuseppe Scarcella. Spatial persistence of megazoobenthic assemblages in the Adriatic Sea. Marine Ecology Progress Series. 2017; 566 ():31-48.
Chicago/Turabian StyleA. Santelli; I. Cvitković; M. Despalatović; G. Fabi; Fabio Grati; B. Marčeta; E. Punzo; Saša Raicevich; Pierluigi Strafella; A. Spagnolo; Anna Nora Tassetti; Giuseppe Scarcella. 2017. "Spatial persistence of megazoobenthic assemblages in the Adriatic Sea." Marine Ecology Progress Series 566, no. : 31-48.
The combination of elevation data together with multispectral high-resolution images is a new methodology for obtaining land use/land cover classification. It represents a step forward for both the accuracy and automation of LULC applications and allows users to setup thematic assignments through rules based on feature attributes and human expert interpretation of land usage. The synergy between different types of information means that LiDAR can give new hints at both the segmentation and hybrid classification steps, leading to a joint use of multispectral, spatial and elevation data. The output is a thematic map characterized by a custom-designed legend that is able to discriminate between land cover classes with similar spectral characteristics (level 3 of the CLC legend). Experimental results from a hilly farmland area with some urban structures (Musone river basin, Ancona, Italy) are used to highlight how the proposed methodology enhances land cover classification in heterogeneous environments.
Mirco Sturari; Emanuele Frontoni; Roberto Pierdicca; Adriano Mancini; Eva Savina Malinverni; Anna Nora Tassetti; Primo Zingaretti. Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping. European Journal of Remote Sensing 2017, 50, 1 -17.
AMA StyleMirco Sturari, Emanuele Frontoni, Roberto Pierdicca, Adriano Mancini, Eva Savina Malinverni, Anna Nora Tassetti, Primo Zingaretti. Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping. European Journal of Remote Sensing. 2017; 50 (1):1-17.
Chicago/Turabian StyleMirco Sturari; Emanuele Frontoni; Roberto Pierdicca; Adriano Mancini; Eva Savina Malinverni; Anna Nora Tassetti; Primo Zingaretti. 2017. "Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping." European Journal of Remote Sensing 50, no. 1: 1-17.
Population structure and distribution of the starry ray, Raja asterias, were described based on data collected during yearly rapido trawl surveys (SoleMon), between 2005 and 2014 in the Northern and Central Adriatic Sea. A total of 306 individuals were caught, sex ratio was 1.04:1 in favor of males and length-weight relationships were obtained for the whole sample. Following the MEDITS scale, maturity was estimated, observing a higher number of immature individuals. Relative abundance significantly increased during the recent period with the highest values recorded at 5-30 m depths. Such increase could be related to the response of R. asterias to climatic change or to the decrease in fishing pressure in the area. Clear spatial segregation of individuals depending on their life stage was observed, with immature individuals inhabiting the coastal areas and adults more abundant at depths greater than 40 m. The comparison of the result of the present study with MEDITS survey outcomes in terms of distribution patterns, persistence areas of adults and juveniles and abundances indices, evidences that SoleMon survey seems to be more suitable in defining such features of the stock, likely due to the greater catchability of the rapido trawl in respect to the MEDITS trawl net. However, further investigations are needed to identify factors affecting the increasing abundance of this species, and develop an action plan for spatial management of fishing activities.
Carmen Ferrà; G. Fabi; P. Polidori; A. N. Tassetti; S. Leoni; G. Pellini; Giuseppe Scarcella. Raja asterias population assessment in FAO GFCM GSA17 area. Mediterranean Marine Science 2016, 17, 651 .
AMA StyleCarmen Ferrà, G. Fabi, P. Polidori, A. N. Tassetti, S. Leoni, G. Pellini, Giuseppe Scarcella. Raja asterias population assessment in FAO GFCM GSA17 area. Mediterranean Marine Science. 2016; 17 (3):651.
Chicago/Turabian StyleCarmen Ferrà; G. Fabi; P. Polidori; A. N. Tassetti; S. Leoni; G. Pellini; Giuseppe Scarcella. 2016. "Raja asterias population assessment in FAO GFCM GSA17 area." Mediterranean Marine Science 17, no. 3: 651.
Linear buffer strips (BS) along watercourses are commonly adopted to reduce run-off, accumulation of bank-top sediments and the leaking of pesticides into fresh-waters, which strongly increase water pollution. However, the monitoring of their conditions is a difficult task because they are scattered over wide rural areas. This work demonstrates the benefits of using a standard data layer and Augmented Reality (AR) in watershed control and outlines the guideline of a novel approach for the health-check of linear BS. We designed a mobile environmental monitoring system for smart maintenance of riverbanks by embedding the AR technology within a Geographical Information System (GIS). From the technological point of view, the system's architecture consists of a cloud-based service for data sharing, using a standard data layer, and of a mobile device provided with a GPS based AR engine for augmented data visualization. The proposed solution aims to ease the overall inspection process by reducing the time required to run a survey. Indeed, ordinary operational survey conditions are usually performed basing the fieldwork on just classical digitized maps. Our application proposes to enrich inspections by superimposing information on the device screen with the same point of view of the camera, providing an intuitive visualization of buffer strip location. This way, the inspection officer can quickly and dynamically access relevant information overlaying geographic features, comments and other contents in real time. The solution has been tested in fieldwork to prove at what extent this cutting-edge technology contributes to an effective monitoring over large territorial settings. The aim is to encourage officers, land managers and practitioners toward more effective monitoring and management practices.
Roberto Pierdicca; Emanuele Frontoni; Primo Zingaretti; Adriano Mancini; Eva Savina Malinverni; Anna Nora Tassetti; Ernesto Marcheggiani; Andrea Galli. Smart maintenance of riverbanks using a standard data layer and Augmented Reality. Computers & Geosciences 2016, 95, 67 -74.
AMA StyleRoberto Pierdicca, Emanuele Frontoni, Primo Zingaretti, Adriano Mancini, Eva Savina Malinverni, Anna Nora Tassetti, Ernesto Marcheggiani, Andrea Galli. Smart maintenance of riverbanks using a standard data layer and Augmented Reality. Computers & Geosciences. 2016; 95 ():67-74.
Chicago/Turabian StyleRoberto Pierdicca; Emanuele Frontoni; Primo Zingaretti; Adriano Mancini; Eva Savina Malinverni; Anna Nora Tassetti; Ernesto Marcheggiani; Andrea Galli. 2016. "Smart maintenance of riverbanks using a standard data layer and Augmented Reality." Computers & Geosciences 95, no. : 67-74.