
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Ecosystem-Based MSP for Enhanced Fisheries Sustainability: An Example from the Northern Adriatic (Chioggia—Venice and Rovigo, Italy)

doi: 10.3390/su13031211
handle: 20.500.14243/428365 , 11578/297606 , 11585/998454
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.
automatic identification system—AIS, Adriatic Sea, Environmental effects of industries and plants, cumulative effects assessment, TJ807-830, automatic identification system--AIS, TD194-195, fishing activities, Adriatic sea; Automatic identification system-ais; Cumulative effects assessment; Ecosystem-based management; Fisheries; Fishing activities; Maritime spatial planning; Stakeholder, Renewable energy sources, Environmental sciences, ecosystem-based management, fisheries, GE1-350, stakeholder, fisheries; ecosystem-based management; fishing activities; maritime spatial planning; cumulative effects assessment; automatic identification system—AIS; stakeholder; Adriatic Sea, maritime spatial planning
automatic identification system—AIS, Adriatic Sea, Environmental effects of industries and plants, cumulative effects assessment, TJ807-830, automatic identification system--AIS, TD194-195, fishing activities, Adriatic sea; Automatic identification system-ais; Cumulative effects assessment; Ecosystem-based management; Fisheries; Fishing activities; Maritime spatial planning; Stakeholder, Renewable energy sources, Environmental sciences, ecosystem-based management, fisheries, GE1-350, stakeholder, fisheries; ecosystem-based management; fishing activities; maritime spatial planning; cumulative effects assessment; automatic identification system—AIS; stakeholder; Adriatic Sea, maritime spatial planning
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).15 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
