Spatial based approach to fisheries management. An application to bottom trawling in the strait of Sicily

Di Maio, Federico (2022) Spatial based approach to fisheries management. An application to bottom trawling in the strait of Sicily, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Tecnologie innovative e uso sostenibile delle risorse di pesca e biologiche del mediterraneo (fishmed-phd), 34 Ciclo. DOI 10.48676/unibo/amsdottorato/10422.
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At the beginning of my thesis project, considering that some stocks are in overfishing status due to both high fishing effort and high level of juveniles in the catch, my main purpose was to understand how to contribute to improving the state of the fishery resources of the Mediterranean Sea. To mitigate the overfishing, the General Fisheries Commission for the Mediterranean (GFCM) adopted several Fishery Restricted Areas, which are geographically defined areas where some specific fishing activities are temporarily or permanently banned or restricted in order to reduce the exploitation patterns and conservation of specific stocks as well as of habitats and deep-sea ecosystems, including the Essential Fish Habitats (EFH) and the Vulnerable Marine Ecosystems (VME). Considering that GFCM established 3 Fisheries Restricted Areas (FRAs) in the Strait of Sicily (SoS) in 2016 aimed at protecting the nursery areas of the deep-water rose shrimp (DPS, Parapenaeus longirostris – Lucas, 1846) and the European hake (HKE, Merluccius merluccius – Linnaeus, 1758) to reduce the exploitation pattern of undersized species, in my thesis project I devoted myself to evaluate the effect of the FRAs on the status stock and the fishery performance using a spatial bio-economic model.

Tipologia del documento
Tesi di dottorato
Di Maio, Federico
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
Bottom trawling, bio-economic model, SMART, Strait of Sicily, LED lights, fisheries management, undersized catch
Data di discussione
17 Giugno 2022

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