Search Results (58)

Biodiversity and landscape heterogeneity are key components of agroecosystem functioning because they support ecosystem services and strengthen the capacity of agricultural systems to undertake sustainable agroecological transitions. This study assesses the landscape structure of the municipality of Ruvo di Puglia, within the Bio-Distretto delle Lame, to evaluate its potential to support such a transition. Bio-districts are territories in which farmers, local authorities, citizens, and other stakeholders collaborate to manage natural and agricultural resources sustainably, often with a strong connection to organic farming. The research combines freely available Sentinel-2 imagery with UAV-based ground truthing to update land-use/land-cover information and to derive landscape indicators. A systematic sampling scheme was designed in QGIS, and UAV flights over 14 areas were used to generate training and validation vectors. Two classification strategies were tested on 2024 Sentinel-2 data: a supervised pixel-based approach and an unsupervised multi-temporal object-based approach (GEOBIA). The best-performing map was obtained from the supervised classification of July NDVI data, with an overall accuracy of 91.76%. In respect to the 2018 official land-cover dataset indicates a decrease in agricultural land (−490.91 ha), a reduction in arable crops (−1216.43 ha), and an increase in permanent crops (+725.52 ha), suggesting a shift toward specialization. At the same time, natural and semi-natural areas increased, improving the landscape potential for ecological functions. However, the high fragmentation detected by the landscape metrics (average patch size approximately 0.25 ha) may limit habitat continuity and species stability. The results should therefore be interpreted as an assessment of landscape structure and potential biodiversity support, rather than as a direct measurement of biological diversity. Strengthening ecotones, hedgerows and semi-natural linear elements with native species would further improve landscape resilience and support agroecological planning. Full article

Climate change is profoundly altering species’ geographical distributions, with particularly pronounced effects on the richness patterns of invasive alien plants. As China represents a global hotspot for biological invasions, accurately projecting these shifts is imperative for formulating proactive and effective management strategies. This study integrated occurrence records for 321 invasive plant species with seven key environmental predictors within a MaxEnt modeling framework, supplemented by ArcGIS v10.8 spatial analysis, to simulate potential species richness distributions under current climatic conditions and three future periods (2050s, 2070s, and 2090s) across three Shared Socioeconomic Pathways (SSP126, SSP245, and SSP585). The optimized models exhibited strong predictive performance (mean AUC = 0.972 ± 0.037; mean TSS = 0.877 ± 0.115), with 92.1% of species achieving AUC > 0.9. Annual precipitation metrics emerged as the predominant drivers, with precipitation of the driest month (Bio14, 37.6%), annual precipitation (Bio12, 15.6%), and minimum temperature of the coldest month (Bio6, 13.8%) exerting the strongest influence on species distributions. Contemporary invasive plant richness hotspots are concentrated in southern and southwestern China. Under future climate scenarios, substantial range shifts are anticipated: suitable habitats are projected to expand significantly for 58 species (a mean change of +145.8%), while contracting for 24 species (a mean change of −50.4%). Notably, the centroid of maximum species richness is projected to undergo a pronounced north-northwestward displacement, migrating from its current location in Xiangcheng District, Hubei Province, to Lushi County, Henan Province, by the 2090s under the SSP585 scenario. This trajectory coincides with a marked expansion of areas characterized by medium and high species richness, a trend that is particularly accentuated under the high-emission pathway. In conclusion, this study provides a robust, spatially explicit assessment of the future dynamics of invasive plant richness in China, highlighting a significant north-northwestward redistribution under climate change. These findings establish a critical scientific baseline for prioritizing regional monitoring efforts and implementing preemptive control measures in areas facing heightened invasion risk. Full article

Improving the energy performance of existing multi-apartment residential buildings is critical for reducing energy consumption and greenhouse gas emissions in Central and Eastern Europe, where large stocks of post-war buildings with limited insulation are connected to district heating systems. This study evaluates façade insulation retrofit strategies for two representative typologies in Novi Beograd, Serbia—a high-rise tower and an elongated slab-type (‘lamella’) building—using calibrated dynamic energy models and cradle-to-use lifecycle assessment (LCA) over a 50-year service life. Models were calibrated against measured 2023–2024 heating consumption data (NMBE < 1%, CVRMSE < 15%) and normalized with Typical Meteorological Year weather for consistent scenario comparison. Retrofit scenarios applied expanded polystyrene (EPS) and cellulose insulation at 10, 12, and 15 cm thicknesses. Results show that external insulation reduces annual heating demand by approximately 19–20% compared to the uninsulated baseline (192 kWh/m²·a), with the majority of savings achieved at 10 cm and only marginal gains from additional thickness. Insulation thickness has a stronger influence on operational energy reduction than material choice, as differences between EPS and cellulose remain below 0.5%. LCA indicates 23.6–26.0% lower climate change impacts and 23.6–25.8% reduced cumulative energy demand in retrofit scenarios, with cellulose offering modest advantages due to lower embodied emissions and biogenic carbon storage. These findings support targeted envelope retrofits as an effective strategy for decarbonizing district-heated residential buildings in the region. Full article

The valorisation of household and commercial bio-waste into soil improvers helps to reduce disposable waste, mitigate climate change, and improve soil resilience. While the separate collection of bio-waste is mandatory in the European Union, this remains a challenging task, particularly for large cities, due to quality problems in densely populated areas. In addition to various informational and motivational tools for households, financial incentives are becoming increasingly important. However, there is a lack of robust evidence regarding the optimal use of these incentives and their impact on the quantity and quality of collected bio-waste. We investigated the impact of different charging systems on the quantity and quality of bio-waste, basing our research on the experiences of more than twenty European cities and using a detailed questionnaire completed by the relevant administrators. The results confirm that cities, which provide financial incentives for waste sorting, yield a higher quantity of separated bio-waste. As introducing tiered fees can lead to quality issues, monitoring bio-waste and taking action against polluters seems to be unavoidable. Since the identification of polluters is very difficult in the case of multi-family homes, the results are discussed with a special focus on densely populated cities. Pilot projects for alternative options for the valorisation of organic waste, particularly in districts with high-rise buildings, should be evaluated. Full article

Lagria nigricollis (Coleoptera: Tenebrionidae) is a forest pest, widely distributed in East Asia. The impact of climate change on its distribution is currently unknown. To better understand how the geographic distribution of this species responds to future climate change, this study employed the MaxEnt model, integrating 21 environmental variables, to explore changes in its distribution range under different climate scenarios. The results indicated that the average area under the receiver operating characteristic curve (AUC) of the MaxEnt model across different periods is 0.991, demonstrating the reliability of the model’s predictions. The precipitation of the warmest quarter (bio18) and the temperature seasonality (bio04) were the most important environmental variables. Under current conditions, the suitable areas for L. nigricollis are mainly located in China (North China and Central China), the Korean Peninsula, and Japan (Kyushu, Shikoku, and the southern part of Honshu). In the 2050s and 2070s, suitable areas are expected to expand under three socioeconomic pathways, which are 1.08–1.33 times larger than they are currently. The expanded areas are mainly located in the northern part of the current suitable regions. The centroids of suitable areas will shift northward under future climate conditions. To limit the northward expansion of this species, primary control regions will focus on China (the junction of Inner Mongolia–Xinjiang and Northern China), Russia (the southeastern part of the Far Eastern Federal District), and Japan (Hokkaido). The results of this study provide a scientific basis for the forest pest control and distribution prediction of Lagria nigricollis. Full article

Bioregions are examples of true sustainable development. The desire for sustainability within local communities leads to agreements and the formation of bioregions in which sustainable development is based on practical action. This paper analyzes the concept of bioregions, emphasizing holistic approaches applied to, and relationships with, economic, environmental and social factors in pathways and the pace of specialization for the development of territories, thereby complementing the agricultural dimension and paying special attention to the application of organic farming techniques. The formation of bioregions is based on the desires of local communities, but at the same time, we believe that there are objective factors that influence the development of bioregions. Thirteen factors that could affect the creation of bioregions were selected using factors referred to in research papers, as well as by adding original ones. These factors can be divided into the sustainable agriculture and tourism groups, in which high values indicate a high potential for the formation of bioregions, as well as the intensive agriculture factor group, where high values indicate the benefits of large-scale economies that hinder the formation of bioregions. Cluster analysis identified six potential bioregions in Latvia, each with distinct socio-economic, environmental, and agricultural characteristics: the metropolitan region (dominant indicator-PIT per capita, value 890 EUR), the tourism cluster (dominant indicator—tourists served as a % of the total population, value 28%), the extensive agriculture cluster (dominant indicator—organically certified UAA, value 14,645 ha), the nature and education cluster (dominant indicator—protected areas, value 7587 ha), the intensive agriculture cluster (dominant indicator—profit from productive land, value 278 EUR ha⁻¹), as well as a non-specialized cluster (no strongly dominant indicators). This paper describes each cluster and discusses its potential for bioregion development. Full article

From September 8th to 12th, 2024, the 19th SDEWES Conference on Sustainable Development of Energy, Water, and Environment Systems was successfully held in Rome. This event drew 700 researchers, scientists, and practitioners from 62 nations across six continents, with 570 participating in person and another 130 joining virtually. A total of seven papers were selected to be published in Energies, and the corresponding literature published in the most recent year is here reviewed. The main topics of the selected papers regard the adoption of district heating and cooling and their integration with renewable energies (such as geothermal or solar, the use of innovative bifacial PV panels, the use of biomass energy for the bio-synthetic natural gas production, the short-term electric load forecasting for industrial applications, and others. The reviewed papers show that several energy measures can be addressed to reach the decarbonization goals of 2050 and that the scientific community continues to find novel, sustainable, and efficient methods for the reduction in energy consumption and related CO₂ emissions. Full article

Ammonia is a critical compound for numerous industrial processes; however, the conventional methods for its production present substantial environmental challenges. Co-producing biofuels and ammonia from biomass through anaerobic digestion offers a promising alternative to address these concerns. This study presents a theoretical assessment of the co-production of biomethane and ammonia from microalgae and cyanobacteria, utilising water from abandoned mine and quarry pit-lakes—specifically focusing on the Alessandria district as a case study. The analysis is based on the average values reported in the literature for the anaerobic digestion of selected biomass types. The results highlight Arthrospira platensis, Chlamydomonas reinhardtii, Chlorella spp., and Chlorella pyrenoidosa as the most promising species due to their superior yields of both ammonia and biomethane. This work aims to promote new opportunities for repurposing disused mining pit-lakes, contributing to the development of sustainable pathways for the integrated production of biofuels and ammonia. In this context, exploring integrated biorefinery systems within a bio-based economy represents an auspicious direction for future research, potentially enhancing the process efficiency and reducing costs. Full article

The common leopard (Panthera pardus) in Azad Jammu and Kashmir (AJ and K), Pakistan, is increasingly threatened by habitat fragmentation and climate change. This study employs a dual-model approach, integrating Maximum Entropy (MaxEnt) and Random Forest algorithms with multi-source remote sensing data to evaluate leopard habitat suitability. Our analysis identifies land cover (LC), fractional vegetation cover (FVC), elevation, temperature seasonality (bio4), and distance to roads (Dist_road) as the most influential habitat predictors. Leopards exhibit a strong preference for mixed forests at elevations between 1000 and 3000 m, with a suitability index of 0.83. The study identifies several unsuitable conditions including: road proximity (<0.08 km), low elevation zones (<1000 m), areas with high temperature seasonality (bio4 > 8 °C), and non-forested land cover types. MaxEnt demonstrated superior habitat prediction accuracy over Random Forest (AUC = 0.912 vs. 0.827). The results highlight a distinct north-to-south suitability gradient, with optimal habitats concentrated in the northern districts (Muzaffarabad, Hattian, Neelum, Bagh, Haveli, Poonch, Sudhnutti) and declining suitability in human-dominated southern areas. Based on these findings, this study underscores the urgency of targeted conservation efforts in the northern districts of AJ and K, where optimal leopard habitats are identified. The findings emphasize the need for habitat connectivity and protection measures to mitigate the impacts of habitat fragmentation and climate change. Future conservation strategies should prioritize the preservation of mixed forests and the establishment of buffer zones around roads to ensure the long-term survival of the common leopard in this region. Full article

The Dehbid region, located in the southern part of the Sanandaj–Sirjan Zone (SSZ), is a significant iron oxide mining district with over 20 iron oxide deposits (IODs) and reserves of up to 50 million tons of iron oxide ores. The region features a NW–SE oriented ductile shear zone, parallel to the Zagros thrust zone, experienced significant deformation. Detailed structural studies indicate that the iron mineralization is primarily stratiform to stratabound and hosted in late Triassic to early Jurassic silicified dolomites and schists. These ore deposits consist of lenticular iron oxide orebodies and exhibit various structures and textures, including banded, laminated, folded, disseminated, and massive forms of magnetite and hematite. The Fe₂O₃ content in the mineralized layers varies from 30 to 91 wt%, whereas MnO has an average of 3.9 wt%. The trace elements are generally low, except for elevated concentrations of Cu (up to 4350 ppm) and Zn (up to 3270 ppm). Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) analysis of magnetite reveals high concentrations of Mg, Al, Si, Mn, Ti, Cu, and Zn, with significant depletion of elements such as Ga, Ge, As, and Nb. This study refutes the hypothesis of vein-like or hydrothermal genesis, providing evidence for a sedimentary origin based on the trace element geochemistry of magnetite and LA-ICP-MS geochemical data. The Dehbid banded iron ores (BIOs) are thought to have formed under geodynamic conditions similar to those of BIOs in back-arc tectonic settings. The combination of anoxic conditions, submarine hydrothermal iron fluxes, and redox fluctuations is essential for the formation of these deposits, suggesting that similar iron–manganese deposits can form during the Phanerozoic under specific geodynamic and oceanographic conditions, particularly in tectonically active back-arc environments. Full article

Human–wildlife conflict poses significant ecological and socio-economic challenges, particularly in rural communities where agriculture and livestock rearing form the backbone of livelihoods. Despite the growing importance of this issue, District Lakki Marwat remains an unexplored area of northwest Pakistan. This study aims to fill this gap by systematically assessing the status, economic impacts, and community perceptions of five wildlife species: wild boar (Sus scrofa), grey wolf (Canis lupus), golden jackal (Canis aureus), striped hyena (Hyaena hyaena), and red fox (Vulpes vulpes). Using semi-structured surveys with 117 respondents, we analyzed species prevalence, perceived danger levels, crop damage patterns, and predation impacts on livestock and poultry. The findings revealed that wild boars were identified as the primary contributors to agricultural damage, with total annual crop losses surpassing the economic impacts attributed to the studied carnivores. On average, each surveyed household experienced an annual loss of PKR 4510.38. For the 39% of households reporting crop damage, the annual loss per reported household was PKR 11,727, which was higher than the average annual loss across all households, underscoring the severity of the impact on those specifically affected by the wild boar-related crop damage. Notably, community attitudes were most negative toward wild boars, a pattern driven by the economic burden of crop losses, challenging the conventional focus on carnivores as the primary conflict species. A Pearson’s $X^2$ test confirmed strong associations between species and perceived danger levels, while regression analysis demonstrated an association between crop damage and negative attitudes. Traditional deterrents like thorn fences were found ineffective against wild boars. More advanced methods, including game-proof fencing, trenches, bio-fencing, crop rotation, audio and visual deterrents, taste and order repellents, and watchtowers combined with group vigilance, are recommended to reduce crop damage. Integrating these approaches with community-based education, habitat management, and government-supported compensation schemes can mitigate wild boar impacts. This study contributes new insights into multi-species HWC dynamics, demonstrating that community perceptions are primarily shaped by the economic impact of a species, regardless of whether it is a carnivore or an omnivore. The attitudes of local communities are driven by the financial losses incurred, rather than the species' behavior or ecological role. This study underscores the need for collaborative efforts to reduce human–wildlife conflict, foster coexistence, and ensure ecological balance in vulnerable rural areas. Full article

Background: The organic sector is often suggested as a lever with a potential for contributing to the three dimensions of sustainability: social, environmental, and economic. This study aims to investigate selected organic initiatives and organic food sectors in different locations, such as capital cities, rural areas, and the bio-district in SysOrg project consortium, in the Warsaw municipality in Poland, North Hessia region in Germany, Cilento bio-district in Italy, Kenitra province in Morocco, and Copenhagen municipality in Denmark to uncover the diverse drivers, barriers, and entry points to enable a transformation process to resilient and sustainable organic food systems. Methods: Following the methodology of the SysOrg project, this study relied on the following mixed data collection methods: quantitative (a household survey distributed among citizens) and qualitative (semi-structured interviews with organized initiatives). Results: The results demonstrate that, despite being in different stages of development in the investigated territories, the organic sector is challenged by similar barriers (e.g., undeveloped market, regulatory/budgetary constraints, and lack of knowledge and awareness) and benefits from analogous drivers (e.g., awareness and education, community support, and incentives). Conclusions: Those similarities, but also analyses of their differences and origins, allowed us to establish critical entry points for the development of a sustainable organic food system, e.g., promoting organics through a top-down approach, providing training and education, reducing information delay, popularizing negative feedback, strengthening the effectiveness of a given incentives scheme by tailored nudging mechanisms, establishing country/regional specific traditional frames, making the system more inclusive, building organic communities, and awareness-building. Full article

This study investigates the specific challenges and opportunities faced by organic farmers in Tamil Nadu, focusing on how region-specific practices influence the adoption and success of organic farming. It draws insights from a survey of 300 organic growers across five districts: Coimbatore, Dindigul, Erode, Tirupur, and Villupuram. This study is particularly relevant because there is a lack of comprehensive research on the specific challenges and opportunities faced by organic farmers in Tamil Nadu, with limited data on the long-term impact of government initiatives and region-specific management options, especially for smallholder farmers. Additionally, gaps exist in understanding the economic viability, market demand, and farmer perceptions of organic farming together with challenges like knowledge gaps, pest control, managing risks, and lower initial yields during the transition from conventional farming to organic farming. The research evaluated the factors affecting organic farming, including crop yield, the use of different organic formulations, the role of different information services, opportunities and challenges, and the impact on the perceived effectiveness of various agricultural outcomes. Various statistical analyses were performed, including K-means clustering, Poisson regression, and chi-square test. The results revealed significant variations in the adoption of various organic inputs and regionally practiced organic formulations. Crop residues (82.67%), Jeevamrith (78.33%), Amudhakaraisal (77.00%), and 3G-Extracts (74.00%) have high adoption rates, reflecting their perceived effectiveness and accessibility among farmers. However, the adoption of microbial bio-inputs such as Trichoderma viride (1.00%), Acetobacter spp. (19.00%), Azophos (consortium of phosphorus fixing microbes) (26.33%), and Azospirillum spp. (28.67%) was notably poor despite their known benefits for soil health and crop yield. The chi-square test also highlighted key challenges faced by farmers in adopting organic farming practices. The Poisson regression analysis showed significant positive impacts on crop growth and yield, disease resistance, insect control, overall plant health, and input efficiency due to organic farming. The study’s insights are essential for developing targeted strategies to overcome barriers, supporting the growth and sustainability of organic farming. Addressing these challenges and promoting effective information channels will better equip stakeholders to support organic growers, contributing to more resilient and productive agricultural systems in the region. Full article

In Nepal, climate change is projected to cause a rapid increase in air temperature, erratic rainfalls, and other changes that could negatively impact agricultural productivity. Given the crucial role of agriculture in household income and consumption, Nepal is particularly vulnerable to these impacts. Organic farming has the potential to enhance environmental protection and contribute positively to climate change mitigation and adaptation. This study aims to identify suitable crops for individual wards within the Dolakha district under changing climatic conditions. The EcoCrop model was applied to crops pre-selected by local small farmers to assess their suitability under both current and projected climate conditions in 2050. According to the model, the most successful crops under both current and future climate conditions were beans and colocasia, garlic, local radish, and finger millet. The modeling results were then compared to the preferences of local farmers as revealed through a questionnaire survey. Most crops selected by the model were also selected as suitable by local farmers, with beans being the exception. These findings have the potential to assist local stakeholders, including farmers, planners, and local authorities, in promoting successful organic farming by selecting suitable crops, thereby aiding the region in better adapting to expected climate change. Full article

Diets, but also overall food environments, comprise a variety of significant factors with direct and indirect impacts on human health. Eco-Regions are geographical areas with a territorial approach to rural development, utilizing organic food and farming practices, and principles and promoting sustainable communities and food systems. However, so far, little attention has been given to quantifying aspects of the health of citizens living in these sustainable transition territories. The project “Indicators for Assessment of Health Effects of Consumption of Sustainable, Organic School Meals in Eco-Regions” (INSUM) aims to identify and discuss research approaches and indicators that could be applied to effectively measure the somatic, mental, and social health dimensions of citizens in Eco-Regions, linked to the intake of organic foods in their diets. In this paper, we focus on the somatic (physical) health dimension. A two-day workshop was held to discuss suitable methodology with an interdisciplinary, international group of experts. The results showed the limitations of commonly used tools for measuring dietary intake (e.g., relying on the memory of participants), and nutritional biomarkers (e.g., variations in correlations with specific intakes) for research understanding dietary intake and the health effects of diets. To investigate the complexity of this issue, the most suitable approach seems to be the combination of traditional markers of physical and mental health alongside emerging indicators such as the microbiome, nutrigenomics, metabolomics, or inflammatory biomarkers. Using new, digital, non-invasive, and wearable technologies to monitor indicators could complement future research. We conclude that future studies should adopt systemic, multidisciplinary approaches by combining not only indicators of somatic and mental health and social wellbeing (MHSW) but also considering the potential benefits of organic diets for health as well as aspects of sustainability connected to food environments. Full article