Search Results (443)

The spotted wing drosophila, Drosophila suzukii is an injurious polyphagous pest threatening worldwide soft fruit production. Its high adaptability to new colonized environments, short life cycle, and wide host range are supporting its rapid spread. The most common techniques to reduce its significant economic damage are based on multiple insecticides applications per season, even prior to the harvest, which reduces agroecosystem biodiversity and affects human and animal health. Environmental concerns and regulatory restrictions on insecticide use are driving the need for studies on alternative biological control strategies. This study aimed to assess the effect of T. drosphilae in controlling D. suzukii infestations and its interaction with P. vindemiae, a secondary parasitoid naturally present in Apulia (South Italy). Field experiments were carried out in organic cherry orchards in Gioia del Colle (Bari, Italy) to test the efficacy and adaptability of T. drosphilae following weekly releases of artificially reared individuals. Additionally, the interaction between P. vindemiae and T. drosphilae was studied under laboratory conditions. Results from field experiments showed that D. suzukii populations were significantly lower when both parasitoids were present. However, T. drosophilae was less prone to adaptation, so its presence and parasitism were limited to the post-release period. Laboratory experiments, instead, confirmed the high reduction of D. suzukii populations when both parasitoids are present. However, the co-existence of the two parasitoids resulted in a reduced parasitism rate and offspring production, notably for T. drosophilae. This competitive disadvantage may explain its poor establishment in field conditions. These findings suggest that the field release of the two natural enemies should be carried out with reference to their natural population abundance to not generate competition effects. Full article

Monitoring land cover/use dynamics and wildfire occurrences is very important for land management planning and risk mitigation practices. In this research, moderate-resolution imaging spectroradiometer (MODIS) annual land cover images for the period 2001–2023 are utilized for the twenty administrative regions of Italy. Monthly MODIS burned area images are utilized for the period 2001–2020 to study wildfire occurrences across these regions. In addition, monthly Global Precipitation Measurement images for the period 2001–2020 are employed to estimate correlations between precipitation and burned areas annually and seasonally. Boxplots are produced to show the distributions of each land cover/use type within the regions. The non-parametric Mann–Kendall trend test and Sen’s slope are applied to estimate a linear trend, with statistical significance being evaluated for each land cover/use time series of size 23. Pearson’s correlation method is applied for correlation analysis. It is found that grasslands and woodlands have been declining and increasing in most regions, respectively, most significantly in Abruzzo (−0.88%/year for grasslands and 0.71%/year for grassy woodlands). The most significant and frequent wildfires have been observed in southern Italy, particularly in Basilicata, Apulia, and Sicily, mainly in grasslands. The years 2007 and 2017 experienced severe wildfires in the southern regions, mainly during July and August, due to very hot and dry conditions. Negative Pearson’s correlations are estimated between precipitation and burnt areas, with the most significant one being for Basilicata during the fire season (r = −0.43). Most of the burned areas were mainly within the elevation range of 0–500 m and the lowlands of Apulia. In addition, for the 2001–2020 period, a high positive correlation (r > 0.7) is observed between vegetation and land surface temperature, while significant negative correlations between these variables are observed for Apulia (r ≈ −0.59), Sicily (r ≈ −0.69), and Sardinia (r ≈ −0.74), and positive correlations (r > 0.25) are observed between vegetation and precipitation in these three regions. This study’s findings can guide land managers and policymakers in developing or maintaining a sustainable environment. Full article

In recent years, severe decline and mortality events have been observed in holm oak (Quercus ilex L.) ecosystems in different Italian regions, including Puglia (southern Italy). Given the landscape and ecological relevance of holm oak forests in Apulia, a study was conducted to identify the causal agents related to this complex disease syndrome. The surveys, conducted in winter 2024 in three different woodlands, revealed the widespread occurrence of mature holm oak trees showing sudden death, crown thinning, shoot and branch dieback, sunken cankers, and root rot symptoms. Isolations performed from symptomatic samples collected from both stem and small roots yielded fungal and fungal-like colonies representing two distinct families: Botryosphaeriaceae and Peronosporaceae. Analysis of morphological and DNA sequence data allowed us to identify six distinct species, including Diplodia corticola and D. quercivora (Botryosphaeriaceae), Phytophthora cinnamomi, P. multivora, P. psychrophila, and P. asparagi (Peronosporaceae). For P. asparagi and P. psychrophila, isolated for the first time from declining holm oak trees in Italy, Koch’s postulates were satisfied by inoculating 1-year-old seedlings at the collar in controlled conditions. Thirty days after inoculation, all plants showed the same symptoms observed in the field. Overall, the data obtained highlights the co-occurrence of multiple Botryosphaeriaceae and Phytophthora species on declining holm oak trees and the discovery of a new haplotype of Diplodia quercivora. Full article

The following work is based on the historical–anthropological analysis of 93 skeletal remains belonging to post-war casualties who died in 1946 and remained missing for years. In 2019, 93 metal boxes containing skeletal remains of Slavic origin, belonging to civilians and soldiers who perished in the immediate postwar period following World War II, were found inside the ossuary of the Monumental Cemetery in Bari (Italy). At the beginning of the search, these people were thought to have died in prison camps in Apulia, such as Torre Tresca and Grumo Appula, in the province of Bari. Later, thanks to the discovery of war badges and years of extensive historical research, it was discovered that these remains had been missing for 75 years and belonged to soldiers of the Royal Yugoslav Army and civilians, probably their relatives, who died in 1946 in the refugee camp of Eboli, in the province of Salerno, Campania (Italy). To unveil this truth that remained hidden for over 75 years, a multidisciplinary study divided into two phases was applied. The first phase, grounded in historical research study, aimed to determine the historical and temporal context in which they lived and confirm the life they actually lived in the Eboli refugee camp. The second phase, grounded in anthropological research, aimed to reconstruct the biological profile of each individual, identify the presence of antemortem, perimortem, and postmortem lesions, assess potential pathological conditions, and determine, where possible, the cause of death. Finally, a correlation of the collected data was conducted to ascertain and corroborate, with reasonable certainty, the living conditions to which they were subjected in the refugee camp where they resided. Italy after 1943 became the scene of intense fighting and a dramatic situation for prisoners of war, including many Yugoslav soldiers. This work brought to light a history that had been lost for as many as 75 years, highlighted the importance, specifically, of the role of the Eboli refugee camp, a context little known and forgotten by many, and above all made it possible to remember and restore dignity to the victims of the Great War. Full article

Atmospheric parameter acquisition along the vertical profile of the troposphere across different locations on the Earth is of primary importance in gaining knowledge of the evolution of large-scale meteorological systems and the relative movements of air masses. Normally, this happens thanks to the launch, into the atmosphere, of radiosondes connected to balloons filled with helium gas. However, on a small scale, and in particular geomorphological contexts, different and peculiar meteorological situations may arise, in which the air column in the lower layers can behave differently from normal, giving rise to the so-called thermal inversions. In this work, in a particular sinkhole in the Apulia region, the use of a multi-rotor UAV (Unmanned Aerial Vehicle) equipped with a temperature data logger was tested. The flight along the vertical, starting from the lowest point of the sinkhole, made it possible to archive the temperature data of the air column in the first 80 m of altitude. The data validation confirmed the goodness of the UAV acquisitions and their subsequent processing made it possible to extrapolate the vertical temperature profile of the sinkhole during the winter thermal inversion phenomenon. In addition to confirming the predisposition of this sinkhole to strong thermal inversions, the preliminary results of this work have highlighted the efficiency of this new methodology. It has proved to be useful in assessing small-scale vertical profiles of atmospheric variables in a relatively low altitude range. Furthermore, this methodology can represent a strong scientific and technological innovation applicable in the meteorological field and in that of environmental monitoring. Full article

The interconnection between biodiversity loss, food system and climate change is a complex issue with profound implications for global sustainability. Small ruminant farming is a crucial part of addressing these challenges as it contributes to environmental, social, and economic resilience. In Italy, sheep and goat farming is most common in marginal areas with a prevalence of pastoral systems and low mechanization levels. In the Apulia region of Southern Italy, autochthonous small ruminant breeds are at high risk of extinction, due to changing agricultural practices and market pressures. Autochthonous breeds represent valuable genetic resources, adapted to the local environment and capable of producing high-quality products. Apulia boasts an ancient dairy tradition, producing a variety of cheeses from small ruminants, such as Canestrato Pugliese, a Protected Designation of Origin, and four cheeses (Cacioricotta, Pecorino Foggiano, Scamorza di Pecora, and Caprino) recognized as Traditional Agri-Food Products by the Italian Ministry of Agriculture, Food Sovereignty and Forests. These products represent an essential element for biodiversity conservation, encompassing ecosystems, autochthonous breeds, microbial diversity, traditional farming practices, and production systems. This review surveys the main small ruminant native breeds of Apulia region, highlighting their historical significance, distinctive traits, and traditional productions, to help shape strategies for animal biodiversity conservation. Full article

The energy transition from fossil fuels to renewable sources is a key goal for the European Union, among others. Despite significant progress, Italy lags far behind the EU’s target of generating 55% of its electricity from renewables by 2030. The Apulia region in Italy needs to achieve an additional 7.4 GW of installed renewable energy capacity compared to 2021. Renewable energy installations, particularly photovoltaic systems, require land that may compete with other uses like agriculture. This can lead to land-use changes that disrupt agricultural activities. Agrivoltaics (AV) offer a possible solution by allowing energy production and food growing on the same land, which can help alleviate conflicts between energy and food needs, although concerns about landscape impact remain. This study emphasizes the need for effective spatial planning to manage these risks of land use changes and quantify possible agricultural land occupation. A GIS-based analysis was conducted in Apulia using a three-step approach to assess land use and potential AV opportunities: (a) the land protection system identified by the Apulian Landscape Plan was used to obtain a Constraint Map; (b) the agricultural land use and capability classification together with land slope and exposure was used to obtain the AV Availability Map; and (c) agricultural land conversion scenarios were developed to quantify the potential capacity of future AV installations. The results showed that a 0.25% occupation of utilized agricultural land would allow a regional installed AV capacity of 1.3 GW, while doubling this percentage would double the installed capacity to 2.6 GW. The areas potentially involved by AV installations would be 3.25 and 6.50 thousand hectares, reaching 17.5% and 35.0% of the 2030 total renewable energy target. These figures should be considered a reasonable range of AV development in the region, which can contribute both to the energy transition and the support of the agricultural sector, especially in marginal areas. Full article

Background/Objectives: Sex and gender minorities (SGMs) include individuals who do not comply with sexual binarism and heteronormative standards. They represent a high-risk population for Human Papillomavirus (HPV) infection and potential target of an HPV vaccine offer. This study investigates SGMs’ knowledge, awareness and vaccination attitude regarding HPV. Methods: This is a cross-sectional, questionnaire-based study. The target population was represented by SGMs living in Italy and using social media platforms of SGM rights associations. The study questionnaire was based on the literature and disseminated via said associations’ social media. It included items regarding knowledge and awareness, expressed as seven-point Likert scales, and questions about personal information, sexual anamnesis and vaccination attitude. Data collection started on 1 November 2023 and ended on 8 December 2023. Results: The questionnaire was answered by 177 people. Knowledge and awareness scores were generally high (45.98 ± 6.14 and 34.21 ± 4.62, respectively). Regarding attitude, 31.64% of participants reported being hesitant or refusing HPV vaccination, mainly due to prohibitive costs or low perception of the vaccine’s utility. Higher education was associated with a higher knowledge score (coeff.: 2.25; 95%CI: 0.69–3.82); likewise, a history of HPV-related lesions positively influenced the score (coeff.: 2.47; 95%CI: 0.20–4.75). The awareness score was only increased by a greater number of sexual partners (coeff.: 0.06; 95%CI: 0.01–0.11). Older age was proven to significantly increase the odd of vaccine hesitancy (OR: 1.07; 95%CI: 1.02–1.12). Conclusions: Despite a good level of knowledge and awareness, the study population manifested significant barriers to vaccination. The main ones were related to the vaccine’s cost and lack of medical information. Future efforts should focus on reinforcing vaccine offers to SGMs. Full article

Climate change increases drought events, resulting in lower agricultural productivity. Almond trees (Prunus dulcis (Mill.) D.A. Webb) are drought-tolerant; however, prolonged periods of water deficit can affect plant growth and productivity. The physiological and molecular responses of two almond genotypes, Filippo Ceo and Tuono, growing in the Apulia region (Italy) under well-watered and drought conditions were evaluated. Results indicate that cv. Filippo Ceo is more drought-tolerant than cv. Tuono, exhibiting higher RWC values, good levels of photosynthetic pigments, and high proline accumulation. This behavior is confirmed by gene expression analysis, which revealed upregulation of drought-responsive genes, indicating a more effective adaptation to stress of cv. Filippo Ceo. In contrast, cv. Tuono experienced greater oxidative damage and diminished physiological response. These findings indicate that cv. Filippo Ceo could be a promising cultivar for drought-prone areas, with implications for targeted breeding and agronomic strategies to improve almond tree production under water-stressed conditions. Full article

Transport networks are crucial for economic growth, yet their sustainability is increasingly threatened by natural hazards. Recent floods in Italy have highlighted the vulnerability of rail and road infrastructure, causing severe damage and economic losses. The Gargano Promontory in northern Apulia has experienced frequent hydrogeological disruptions over the past decade, significantly affecting bridges and the railway network managed by Ferrovie del Gargano s.r.l. (FdG). However, structural interventions are complex, time-consuming, costly, and involve certain risks. To enhance sustainability and comply with railway safety regulations, FdG has adopted non-structural measures to improve hydrogeological risk classification and management. Despite the prevalence of flood events, the existing literature often overlooks crucial technical aspects, which this study addresses. The HYD.RAIL (HYDraulic Risk Assessment for Infrastructure and Lane) research project aims to improve transport infrastructure resilience by refining hydraulic risk assessments and introducing new classification parameters. HYD.RAIL employs a multicriteria approach, integrating parameters defined in collaboration with railway professionals. This paper presents the initial framework, offering a methodology to identify, classify, and manage hydrogeological risks in transportation infrastructure. Compared to standard methods, which lack detailed risk classification, HYD.RAIL enables more precise flood risk mapping. For example, high-risk points were reduced from 37 to 6 locations on Line 1 and from 134 to 50 on Line 2 using HYD.RAIL. This approach enhances flood risk management efficiency, providing railway operators with a more accurate understanding of infrastructure vulnerabilities. Full article

Since its first detection in 2013, Xylella fastidiosa subsp. pauca (Xfp) has caused a devastating Olive Quick Decline Syndrome (OQDS) outbreak in Southern Italy. Effective disease surveillance and treatment strategies are urgently needed to mitigate its impact. This study investigates the short-term (1.5 years) effects of thymol-based treatments on infected olive trees of the susceptible cultivar Cellina di Nardò in two orchards in Salento, Apulia region. Twenty trees per trial received a 3% thymol solution either alone or encapsulated in a cellulose nanoparticle carrier. Over two years, sap flux density and canopy-transmitted solar radiation were monitored using TreeTalker sensors, and spectral greenness indices were calculated. Xfp cell concentrations in plant tissues were quantified via qPCR. Neither thymol treatment halted disease progression nor significantly reduced bacterial load, though the Xfp cell concentration reduction increased over time in the preventive trial. Symptomatic trees exhibited increased sap flux density, though the treatment mitigated this effect in the curative trial. Greenness indices remained lower in infected trees, but the response to symptom severity was delayed. These findings underscore the need for longer-term studies, investigation of synergistic effects with other phytocompounds, and integration of real-time sensor data into adaptive disease management protocols. Full article

Due to the rapid expansion of e-commerce and urbanization, Last-Mile Delivery (LMD) faces increasing challenges related to cost, timeliness, and sustainability. Artificial intelligence (AI) techniques are widely used to optimize fleet management, while augmented and mixed reality (AR/MR) technologies are being adopted to enhance warehouse operations. However, existing approaches often treat these aspects in isolation, missing opportunities for optimization and operational efficiency gains through improved information visibility across different roles in the logistics workforce. This work proposes the adoption of novel technological solutions integrated in an LMD framework that combines AI-based optimization of shipment allocation and vehicle route planning with a knowledge graph (KG)-driven decision support system. Additionally, the paper discusses the exploitation of relevant recent tools, including large language model (LLM)-powered conversational assistants for managers and operators and MR-based headset interfaces supporting warehouse operators by providing real-time data and enabling direct interaction with the system through virtual contextual UI elements. The framework prioritizes the customizability of AI algorithms and real-time information sharing between stakeholders. An experiment with a system prototype in the Apulia region is presented to evaluate the feasibility of the system in a realistic logistics scenario, highlighting its potential to enhance coordination and efficiency in LMD operations. The results suggest the usefulness of the approach while also identifying benefits and challenges in real-world applications. Full article

Agriculture plays a dual role in shaping biodiversity, providing secondary habitats while posing significant threats to ecological systems through habitat fragmentation and land-use intensification. This study aims to assess the relationship between bird species composition and land-use types in Apulia, Italy. Specifically, we investigate how different agricultural and semi-natural landscapes influence avian biodiversity and which agricultural models can have a positive impact on biodiversity. Biodiversity indices were calculated for each bird community observed. The abundance curves showed a geometric series pattern for the AGR communities, indicative of ecosystems at an early stage of ecological succession, and a lognormal distribution for the MIX and NAT communities, typical of mature communities with a more even distribution of species. Analysis of variance showed significant differences in richness and diversity between AGR and NAT sites, but not between NAT and MIX, which had the highest values. Logistic regression estimated the probability of sites belonging to the three ecosystem categories as a function of biodiversity, confirming a strong similarity between NAT and MIX. Finally, linear discriminant analysis confirmed a clear separation from AGR areas, as evidenced by the canonical components. The results highlight the importance of integrating high-diversity landscape elements and appropriate agricultural practices to mitigate biodiversity loss. Even a small increase in the naturalness of agricultural land would be sufficient to convert it from the AGR to the MIX ecosystem category, with significant biodiversity benefits. Full article

The 2030 Agenda for Sustainable Development, approved by the international community, represents a global strategic guide with 17 Sustainable Development Goals (SDGs) and 169 interconnected targets, aimed at promoting equitable economic, social and environmental development. In this context, innovation and research can play a crucial role in supporting policies for the achievement of SDGs, especially at local and regional levels. This article reports what was developed in the Puglia Region according to a double action. On the one hand, the creation of an IT platform to improve collaboration between legislative institutions and research centres facilitates the collection and transfer of data as best practices to support political decisions. On the other hand, practical experimentation on issues related to regional development is conducted, with particular attention to sustainability-oriented partnerships, legislative needs, and knowledge of the territory. The new information system, based on a geo-database and developed entirely with open source software, collects regional regulatory data on SDGs, cooperation projects, and technical and scientific documents contributing to the knowledge of the application of plans and programmes applied to the territory. This tool, in addition to mapping relevant projects, represents an important resource for monitoring progress and supporting sustainable development policies, facilitating the sharing of information between local, national, and European actors. Full article

Xylella fastidiosa (Xf) is a pathogenic bacterium which causes severe damage to plants and has been detected in various countries, including Italy, France, Portugal, Spain, Lebanon, Iran, and Israel. In Europe, the first outbreak was observed in olive plants in Apulia, Italy, in 2013. The ease of its transmission, coupled with its ability to remain latent within plants for extended periods, has facilitated its rapid expansion, causing severe damage to the regional olive industry. The early detection of Xf infections is therefore crucial for the containment of its spread and, thus, to minimize crop yield losses. Recent studies described in the literature have assessed the potential of remote sensing for monitoring Xf through applicable machine learning models. In particular, high-resolution hyperspectral and thermal remote sensing imageries acquired by airborne platforms have demonstrated an ability to detect the early symptoms of Xf infection in olive trees. However, further analyses are needed to address technical challenges and validate their effectiveness in vast areas. In this paper, we propose to answer some of these crucial questions, which are also relevant to the future task of setting up an operational system to detect Xf on a large scale. First, we assess whether the size of a data set, composed of a limited number of labelled examples, is sufficient to train accurate classifiers. Then, we evaluate whether a classifier that is trained on data from a specific area can detect infected trees in other places, which are potentially different in terms of cultivars and overall agricultural management. The obtained results demonstrate that with as few as 200 labelled data points (even unbalanced between the two classes of interest of “infected” and “not infected”), it is possible to train classifiers to support the detection of Xf, also across a wide area, obtaining overall classification accuracies greater than 74%. Full article