This work focuses on the selection of new areas for shellfish farming along the coast of the Northern Adriatic Sea (Italy). Shellfish site suitability was assessed by means of a methodology based on Spatial Multi-Criteria Evaluation (SMCE), which provided the framework to combine mathematical models and operational oceanography products. Intermediate level criteria considered in the analysis included optimal growth conditions, environmental interactions, and socio-economic evaluation (e.g. organic carbon deposition; distance to harbour). Results showed that the whole coastal area comprised within 0 and 3 nm is highly suitable for farming of mussel, while the area comprised between 3 and 12 nm is divided between a highly suitable northern part, and a less suitable southern one. Seven different scenarios of development of shellfish aquaculture industry were explored. The introduction of a new species, and the assessment of the exposure to storm events are specific aspects taken into account in development scenarios. Results show that the degree of suitability for shellfish aquaculture in this area would not change dramatically with the introduction of oyster farming. Furthermore, results highlight that: (i) the growth potential in this area is high; (ii) the space with suitability index >0.5 increases when prioritizing the optimal growth condition criteria, and (iii) the socio-economic is the most restrictive Intermediate Level Criteria. Results were discussed by deriving general lessons concerning the use of SMCE in aquaculture space allocation, from the specific application in the Northern Adriatic Sea. Challenges and opportunities related to the proposed methodological framework, with particular reference to the use of resources provided by remote sensing and operational oceanography by means of mathematical models, were also discussed. Results can support a science-based identification of allocated zones for aquaculture in order to avoid conflicts, and promote sustainable aquaculture in the Mediterranean Sea, where the space for these activities is becoming increasingly limited.
Defining sustainability goals is a crucial but difficult task because it often involves the quantification of multiple interrelated and sometimes conflicting components. This complexity may be exacerbated by climate change, which will increase environmental vulnerability in aquaculture and potentially compromise the ability to meet the needs of a growing human population. Here, we developed an approach to inform sustainable aquaculture by quantifying spatio-temporal shifts in critical trade-offs between environmental costs and benefits using the time to reach the commercial size as a possible proxy of economic implications of aquaculture under climate change. Our results indicate that optimizing aquaculture practices by minimizing impact (this study considers as impact a benthic carbon deposition ≥ 1 g C m day ) will become increasingly difficult under climate change. Moreover, an increasing temperature will produce a poleward shift in sustainability trade-offs. These findings suggest that future sustainable management strategies and plans will need to account for the effects of climate change across scales. Overall, our results highlight the importance of integrating environmental factors in order to sustainably manage critical natural resources under shifting climatic conditions.
Among filter-feeders, pennatulids are the most complex and polymorphic members of the cnidarian class Anthozoa. They display a wide distribution throughout all the oceans, constituting a significant component of the sessile megafauna from intertidal to abyssal depths. In this study, a total of 118 bacterial isolates from enrichment cultures, carried out with homogenates of the sea pen Pteroeides spinosum (Ellis, 1764), were screened for hydrocarbon utilization by using the 2,6-dichlorophenol indophenol assay. Among them, 83 hydrocarbon-oxidizing isolates were analyzed for biosurfactant production by standard screening tests (i.e., emulsifying activity, E24 detection, surface tension measurement, microplate assay). The 16S rRNA gene sequencing revealed the affiliation of the most promising isolates to the genera Brevibacterium and Vibrio. Biosurfactant production resulted strongly affected by salinity and temperature conditions, and occurred in the presence of diesel oil and/or crude oil, whereas no production was observed when isolates were grown on tetradecane. The strains resulted able to create stable emulsions, thus suggesting the production of biosurfactants. Further analyses revealed a glycolipidic nature of the biosurfactant extracted from Vibrio sp. PBN295, a genus that has been only recently reported as biosurfactant producer. Results suggest that pennatulids could represent a novel source for the isolation of hydrocarbon-oxidizing bacteria with potential in biosurfactant production.
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