Spatial and temporal dynamics of trawl fishing activities in the Northern and Central Adriatic Sea (GSA 17) analysed by using automatic identification system (AIS) data

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dc.contributor.advisor Pranovi, Fabio it_IT
dc.contributor.author Russo, Elisabetta <1988> it_IT
dc.date.accessioned 2019-12-09 it_IT
dc.date.accessioned 2020-10-14T07:10:50Z
dc.date.issued 2020-03-12 it_IT
dc.identifier.uri http://hdl.handle.net/10579/17847
dc.description.abstract The primary aim of this PhD project was to improve the knowledge about the spatio-temporal dynamics of trawl fishing activities in the Northern and Central Adriatic Sea (GSA17). This area has been recognised as one of the most exploited within the Mediterranean basin and for this reason the assessment of the fishing effort results to be an important element for the implementation of new management strategies. The use of Automatic Identification System (AIS) data, available for vessels with a length overall (LOA) over 15 m, played a key role for the investigation of this topic. Indeed, this system, conceived for navigation security reasons, provides high spatio-temporal resolution information about the fishing vessel distribution and activities. Considering the characteristics of the Adriatic fishing segments, and since the trawl fishery is one of the most negatively impacting fishing techniques, the entire study was focused on the trawl fleet, and in particular on Small and Large Bottom Otter Trawl, Rapido Trawl (a sort of beam trawl) and Mid-Water Pair Trawl. The main aims of this project are: 1. the evaluation of the fishing effort, estimated by using an innovative method considering the fishing tracks of the vessels and the swept area, in order to identify the main fishing grounds and the seasonal behaviour of the different fishing techniques; 2. the catches assessment on a spatial basis, associated with fishing effort and economic value in order to better understand the fishermen behaviours and the efficiency of the selected fishing segments; 3. the estimation of the carbon dioxide (CO2) emissions, by using a bottom-up approach (AIS-based method), and the emissions associated with landing data in order to assess the impact produced to catches commercial species (kg CO2 per kg landing). Overall, this research project supplied new insights in a context of sustainable fishery management, providing useful information for the monitoring and the assessment of the trawl fishing activities in the Adriatic Sea. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Elisabetta Russo, 2020 it_IT
dc.title Spatial and temporal dynamics of trawl fishing activities in the Northern and Central Adriatic Sea (GSA 17) analysed by using automatic identification system (AIS) data it_IT
dc.title.alternative it_IT
dc.type Doctoral Thesis it_IT
dc.degree.name Scienze ambientali it_IT
dc.degree.level Dottorato di ricerca it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear Dottorato - Ciclo32° - Appello 17-01-20 it_IT
dc.description.cycle 32
dc.degree.coordinator Bertuzzo, Enrico it_IT
dc.location.shelfmark D002057
dc.location Venezia, Archivio Università Ca' Foscari, Tesi Dottorato it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 956304 it_IT
dc.format.pagenumber 90 p. : ill.
dc.subject.miur BIO/07 ECOLOGIA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor Silvestri, Claudio <1974> it_IT
dc.contributor.co-advisor Sara', Gianluca it_IT
dc.provenance.upload Elisabetta Russo (956304@stud.unive.it), 2019-12-09 it_IT
dc.provenance.plagiarycheck Fabio Pranovi (fpranovi@unive.it), 2020-01-17 it_IT


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