Cultural Ecosystem Services Provided by Coralligenous Assemblages and Posidonia oceanica in the Italian Seas

Posidonia oceanica meadows and coralligenous reefs are two Mediterranean ecosystems that are recognized as suppliers of valuable ecosystem services (ESs), including cultural services. However, valuation studies on these ecosystems are scarce; rather, studies have mainly focused on provisioning and regulating services. Here we focus on the cultural services provided by P. oceanica and coralligenous assemblages by addressing a specific group of users. Through an online survey submitted to Italian scuba divers, we assess their willingness to pay for a dive in the two ecosystems and how their preferences will change under different degradation scenarios. Diving preferences are assessed using a discrete choice experiment. The results confirmed that ecological knowledge is associated with higher ecosystem values. Moreover, the results confirm and assess how a high degradation of coralligenous and P. oceanica habitats would reduce the value of the underwater environment, by decreasing scuba diver satisfaction and their rate of return visits. Considering a 50% reduction in the coverage of keystone species, the marginal willingness to pay decreased by approximately (sic)56 and (sic)18 for coralligenous reefs and P. oceanica, respectively, while the willingness to pay decreased by approximately (sic)108 and (sic)34, respectively, when there was a total reduction in coverage. Our results can be used to support marine ecosystem based management and the non-destructive use of Mediterranean Posidonia oceanica meadows and coralligenous reefs

Estimating the value of carbon sequestration ecosystem services in the Mediterranean Sea: An ecological economics approach

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Nephrops norvegicus in the Adriatic Sea: Connectivity modeling essential fish habitats and management area network

AbstractKnowledge of connectivity among subpopulations is fundamental in the identification of the appropriate geographical scales for stock status evaluation and management, the identification of areas with greater retention rates, and space‐based fisheries management. Here, an integration of hydrodynamic, biological, and habitat models results is used to assess connectivity and support the definition of essential fish habitats (EFH) in the Adriatic Sea, with reference to Nephrops norvegicus, an important benthic commercial resource, the recruitment of which is strongly related to larval dispersal from spawning to recruitment areas. We explored oceanographic and biological connectivity in the Adriatic Sea under a wide and representative variety of oceanographic conditions (winters 2006–2012) by tracking 3D trajectories of larvae released from different areas. We used a Lagrangian model that features a specific larval behavior module with explicit dependence on environmental parameters (i.e., temperature and sediment type) and that is driven by high‐resolution hydrodynamic and meteorological data. The results were used to partition the area in which Nephrops was observed into 20 homogenous management subareas; to assess the connection between spawning, recruitment, and harvesting grounds; and to identify potential subpopulation boundaries as well as the connectivity among the potential subpopulations. The results suggest the presence of at least three distinct subpopulations, which need to be independently managed and conserved, and confirms that the Jabuka‐Pomo pit is the most important spawning area, but alone it cannot sustain Nephrops populations throughout the Adriatic Sea. The results also show the importance to move from particle‐tracking to approaches based on integrated models

Effects of ocean acidification on benthic organisms in the Mediterranean Sea under realistic climatic scenarios: A meta-analysis

Ocean acidification is expected to cause significant changes in the marine environment over the coming century. The effects of acidificationonorganisms\u2019 physiology have been studied over the pasttwodecades. However, the experimental findings are not always easily comparable because of differences in experi- mental design, and comparable experimentsdonot always produce similar results. To rigorously integrate the current knowledge, we performed a meta-analysis of published studies focused on benthic organisms in the Mediterranean Sea, both in controlled manipulative experiments and in situ experiments near vent areas. In each experiment, the effect of acidification was calculated as the log-transformed response ratio (LnRR) of experimental versus control conditions. The quantitative results obtained by the meta-analysis highlight: (a) an increase in fleshy algae cover, which may lead to a competitive advantage over calcify- ing macroalgae; (b) a reduction of calcification by both algae and corals; (c) an increase in seagrass shoot density under low pH; and (d) a general increase in the photosynthetic activity of macrophytes

An Integrated Environmental Assessment of a coastal lagoon: The Case of the Oualidia lagoon (Morocco)

This paper aims to present a comprehensive socio-economic and environmental analysis of the Oualidia lagoon in Morocco. This lagoon is classified as a RAMSAR site since 2005, providing valuable ecosystem services for the surrounding population. This paper followed the Drivers-Activities-Pressures-State-Change-Impact-Responses (DPSIR) framework to evaluate environmental condition changes within the lagoon to support decision-making. The present research suggests a potential future model for safeguarding the lagoon's ecosystem without risking the well-being of future generations

Policy brief : global and regional management of ocean acidification

Anthropogenic CO2 emission is the main contributor to Ocean Acidification (OA) because the dissolution of this gas in seawater leads to changes in its chemistry resulting in seawater acidity and a lowering of the calcium carbonate saturation state. Apart from impacting severely life at sea, OA acts in conjunction with other environmental drivers connected to climate, such as increased ocean temperature and lower oxygen content, resulting in combined synergistic or combined negative effects to marine life. Despite the increasing scientific certainty on its scale and consequences, and on the need for immediate action, OA stands as a highly overlooked item on the environmental agenda, generally neglected by policymakers at the international, regional and domestic level. Scholars from different disciplines have pointed out the key challenges in dealing with OA in the current fragmented governance landscape, and highlighted that a coordinated governance effort is needed to address OA effectively. At the international level OA is neither adequately integrated in the climate change regime, which is considered a crucial forum for OA, nor in other multilateral environmental treaties, such as the Convention of Biological Diversity, or the Law of the Sea. At the European level, national policies and legislation addressing OA remains scarce and uncoordinated.peer-reviewe

Evaluation of lagoon eutrophication potential under climate change conditions: A novel water quality machine learning and biogeochemical-based framework

Lagoons are highly valued coastal environments providing unique ecosystem services. However, they are fragile and vulnerable to natural processes and anthropogenic activities. Concurrently, climate change pressures, are likely to lead to severe ecological impacts on lagoon ecosystems. Among these, direct effects are mainly through changes in temperature and associated physico-chemical alterations, whereas indirect ones, mediated through processes such as extreme weather events in the catchment, include the alteration of nutrient loading patterns among others that can, in turn, modify the trophic states leading to depletion or to eutrophication. This phenomenon can lead, under certain circumstances, to harmful algal blooms events, anoxia, and mortality of aquatic flora and fauna, or to the reduction of primary production, with cascading effects on the whole trophic web with dramatic consequences for aquaculture, fishery, and recreational activities. The complexity of eutrophication processes, characterized by compounding and interconnected pressures, highlights the importance of adequate sophisticated methods to estimate future ecological impacts on fragile lagoon environments. In this context, a novel framework combining Machine Learning (ML) and biogeochemical models is proposed, leveraging the potential offered by both approaches to unravel and modelling environmental systems featured by compounding pressures. Multi-Layer Perceptron (MLP) and Random Forest (RF) models are used (trained, validated, and tested) within the Venice Lagoon case study to assimilate historical heterogenous WQ data (i.e., water temperature, salinity, and dissolved oxygen) and spatio-temporal information (i.e., monitoring station location and month), and to predict changes in chlorophyll-a (Chl-a) conditions. Then, projections from the biogeochemical model SHYFEM-BFM for 2049, and 2099 timeframes under RCP 8.5 are integrated to evaluate Chl-a variations under future bio-geochemical conditions forced by climate change projections. Annual and seasonal Chl-a predictions were performed out by classes based on two classification modes established on the descriptive statistics computed on baseline data: i) binary classification of Chl-a values under and over the median value, ii) multi-class classification defined by Chl-a quartiles. Results from the case study showed as the RF successfully classifies Chl-a under the baseline scenario with an overall model accuracy of about 80% for the median classification mode, and 61% for the quartile classification mode. Overall, a decreasing trend for the lowest Chl-a values (below the first quartile, i.e. 0.85 µg/l) can be observed, with an opposite rising fashion for the highest Chl-a values (above the fourth quartile, i.e. 2.78 µg/l). On the seasonal level, summer remains the season with the highest Chl-a values in all scenarios, although in 2099 a strong increase in Chl-a is also expected during the spring one. The proposed novel framework represents a valuable approach to strengthen both eutrophication modelling and scenarios analysis, by placing artificial intelligence-based models alongside biogeochemical models

Percentage abundance for taxa in the centroids of the three habMCs.

<p>Only the most abundant taxa are shown, i.e. those which cumulatively add up for >90% of the total abundance in the centroids representative of each of the three habMCs. Taxa are ordered by decreasing alphabetic order.</p

FMV for 15 taxa with highest affinities for each of the three habMCs.

<p>Taxa are ordered by decreasing FMV in habMC1, habMC2, habMC3, FMV values are shown for each habMC.</p