The Mazara del Vallo fleet is one of the main fleets of large trawlers in the Mediterranean. Traditionally, the two main fishing strategies adopted by the fleet can be summarized as follows: pesca a fresco (250 m), mainly targeting deep-water shrimp sold frozen. The second fishing strategy has become increasingly important over the last decade. This paper aims to investigate the extent to which the choice of targeting deep-water shrimp impacted the level of technical and scale efficiency for the fleet assessed through an input-oriented data envelopment analysis. The analysis was based on data collected under the Italian National Programme within the European Data Collection Framework, as well as through a focus group discussion with the trawler skippers. The results showed that the pesca a congelato trawlers had the highest average efficiency, with both technical and scale efficiency close to the maximum level. On the basis of information collected during the focus group discussion on the pesca a congelato strategy, technical efficiency was coupled with a lower discard rate and the widespread use of LED lights. The findings were discussed in light of the objective of discard reduction in European fisheries, one of the pillars of the reformed common fishery policy.

This Comment was prompted by the substantial difference in weir catch estimates in the Gulf between (i) those reported by Al-Abdulrazzak and Pauly (2014. Managing fisheries from space: Google Earth improves estimates of distant fish catches. ICES Journal of Marine Science, 71(3), 450–454), who used Google Earth to count weir numbers, and (ii) those available from official national statistics provided by two major weir fishing countries (Bahrain and Iran). Satellite imageries, including Google Earth, are powerful tools for collecting data on visible structures when verified with adequate ground validation. However, an extension of their contribution to improving overall catch estimates is rather limited without having solid information on daily catch, which will substantially differ according to time and area, and fishing season lengths. It was noted that Al-Abdulrazzak and Pauly (2013) introduced positive biases through their interpretation of Google Earth images and data treatment. They included several assumptions, such as removing the impact of poor visibility, correcting grids of low resolutions, estimating number of unseen weirs, and applying daily catch rates higher than referenced observed values. The overall extent of such potential positive bias could be more than six times that which we considered reasonable. This Comment also corrects misconceptions about “FAO catch data”, discusses other available national data, and introduces the existence of the Regional Commission for Fisheries (RECOFI), a mechanism for fisheries management in the Gulf region, and its recent activities to collect more complete catch and effort data separated by gear.

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