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With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973–2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used and the model responses were interpreted considering the role of DREB genes in the genotype performance with a focus on drought conditions. The CERES-Wheat crop model was calibrated and validated for grain yield, earliness and kernel weight. Forty-eight synthetic scenarios were used: 6 scenarios with increasing maximum air temperature; 6 scenarios with decreasing rainfall; 36 scenarios combining increasing temperature and decreasing rainfall. The simulated effects on yields, anthesis and kernel weights resulted in yield reduction, increasing kernel weight, and shortened growth duration in both sites. Creso (late cultivar) was the most sensitive to simulated climate conditions. Simeto and Duilio (early cultivars) showed lower simulated yield reductions and a larger anticipation of anthesis date. Observed data showed the same responses for the three cultivars in both sites. The CERES-Wheat model proved to be effective in representing reality and can be used in crop breeding programs with a molecular approach aiming at developing molecular markers for the resistance to drought stress.

Sentinel-2 data have been used in various fields of human activity. In cultural heritage, their potential is still to be fully explored. This paper aims to illustrate how remote sensing and open source tools are useful for archaeological investigations. The whole issue revolves around the application of satellite (Sentinel-2) and accessory tools for the identification, knowledge and protection of the cultural heritage of two areas of southern Italy: Sant’Arsenio (SA) and Foggia (FG). Both study cases were selected for a specific reason: to demonstrate the usefulness of open data and software for research and preservation of cultural heritage, as in the case of urban sprawl, development of public works (gas- and oil-pipelines, etc.) or intensive use of land for agricultural purposes. The results obtained are relevant for the knowledge improvement and very useful to operate in the field of preventive archaeology, for the evaluation and management of risk, the planning of city-expansion or infrastructures that could damage the buried heritage.

Abstract. The amount of reflected energy by snow and ice plays a fundamental role in their melting processes. Different non-ice materials (carbonaceous particles, mineral dust, microorganisms, algae etc.) can decrease the reflectance of snow and ice promoting the melt. The object of this paper is to assess the capability of field and satellite (EO-1 Hyperion) hyperspectral data to characterize the impact of light-absorbing impurities on the surface reflectance of ice and snow of the Vadret da Morteratsch, a large valley glacier in the Swiss Alps. The spatial distribution of both narrow-band and broad-band indices derived from Hyperion was analyzed in relation to ice and snow impurities. In situ and laboratory reflectance spectra were acquired to characterize the optical properties of ice and cryoconite samples. The concentrations of Elemental Carbon (EC), Organic Carbon (OC) and Levoglucosan were also determined to characterize the impurities found in cryoconite. Multi-wavelength absorbance spectra were measured to compare the optical properties of cryoconite samples and local moraine sediments. In situ reflectance spectra showed that the presence of impurities reduced ice reflectance in visible wavelengths of 80–90 %. Satellite data also showed the outcropping of dust during the melting season in the upper parts of the glacier, revealing that seasonal input of atmospheric dust can decrease the reflectance also in the accumulation zone of the glacier. The presence of EC and OC in cryoconite samples suggests a relevant role of carbonaceous and organic material in the darkening of the ablation zone. This darkening effect is added to that caused by fine debris from lateral moraines, assumed to represent a large fraction of cryoconite. Possible input of anthropogenic activity cannot be excluded and further researches are needed to assess the role of human activities in the darkening process of glaciers observed in recent years.

Nowadays, following the increased interest and need for the issue of sustainability, tourist destinations are called upon to promote sustainable tourism development through the implementation of investments and initiatives. Despite the investments by the destinations, how are these perceived by tourists and residents? Based on this, this paper aims to assess the perception of sustainable investments in a coastal area located in Tuscany, through the administration of a questionnaire among 750 people, including both tourists and house owners. The study adopted statistical logit and probit models to detect the perception of sustainable initiatives in relation to beach satisfaction. Moreover, this research developed a model for understanding if there are substantial differences in perception between Italian and foreign beach users and at the same time between residents/house owners and tourists. The findings reveal that those who perceive investments in sustainability are more than satisfied with beach and facilities. The model shows that foreigners and residents/house owners perceive sustainable investments implemented in the destination more than tourists and Italian respondents. This research can provide support to local operators and policymakers in defining the destination image in relation to sustainability.

Geostatistical techniques were applied and a series of spatial indicators were calculated (occupation, aggregation, location, dispersion, spatial autocorrelation and overlap) to characterize the spatial distributions of European anchovy and sardine during summer. Two ecosystems were compared for this purpose, both located in the Mediterranean Sea: the Strait of Sicily (upwelling area) and the North Aegean Sea (continental shelf area, influenced by freshwater). Although the biomass of anchovy and sardine presented high interannual variability in both areas, the location of the centres of gravity and the main spatial patches of their populations were very similar between years. The size of the patches representing the dominant part of the abundance (80%) was mostly ecosystem- and species-specific. Occupation (area of presence) appears to be shaped by the extent of suitable habitats in each ecosystem whereas aggregation patterns (how the populations are distributed within the area of presence) were species-specific and related to levels of population biomass. In the upwelling area, both species showed consistently higher occupation values compared to the continental shelf area. Certain characteristics of the spatial distribution of sardine (e.g. spreading area, overlapping with anchovy) differed substantially between the two ecosystems. Principal component analysis of geostatistical and spatial indicators revealed that biomass was significantly related to a suite of, rather than single, spatial indicators. At the spatial scale of our study, strong correlations emerged between biomass and the first principal component axis with highly positive loadings for occupation, aggregation and patchiness, independently of species and ecosystem. Overlapping between anchovy and sardine increased with the increase of sardine biomass but decreased with the increase of anchovy. This contrasting pattern was attributed to the location of the respective major patches combined with the specific occupation patterns of the two species. The potential use of spatial indices as auxiliary stock monitoring indicators is discussed.

AbstractTo assess the possibility of a combined use of solar and wind energy over Europe, a continental-scale dataset, with high spatial and temporal resolution and covering three years of data (2012–14), is analyzed. The 100-m wind is taken from the ECMWF analyses/short-range forecasts. To obtain hourly values of potentially generated electricity, wind is transformed into normalized electricity-generation data by considering a normalized output function representing the most common wind turbines available in the European market. A strong monthly variation is present, showing the maximum potential at high latitudes in winter and shifting to specific areas in the Mediterranean Sea region in summer. Hourly data for solar radiation are extracted from the satellite-retrieval scheme of the Satellite Application Facility on Climate Monitoring (CM SAF). The energy output of photovoltaic systems is calculated by considering the amount of solar radiation that arrives at the surface of the photovoltaic modules. Together with the main functional dependence on latitude, the photovoltaic potential depends also on longitude, as a consequence of the average pressure patterns. Last, the local correlation of wind and solar resources is assessed. For hourly data, a weak anticorrelation prevails in the domain, suggesting a degree of local complementarity of the two sources in many regions. A strong effect from the diurnal cycle is observed in some regions. Also, a significant dependence on the month (higher absolute values in summer) and on the time scale (increase in absolute value with the extension of the time window that is considered for the correlation) is apparent.