Search Results (248)

Stakeholder participation is increasingly promoted in ecological monitoring programmes, yet it raises critical questions about the spatial representativity and scientific robustness of resulting datasets. This study evaluates the representativeness of BeeNet, Italy’s national honeybee monitoring network (2019–2025), in depicting the agricultural landscape despite the non-randomised placement of selected apiaries. Apiaries were selected from voluntary beekeepers, balancing stakeholder participation with the objectives of the project. The distribution of over 300 workstations was assessed across Italian regions in relation to surface area and agricultural land-use composition, using Corine Land Cover (CLC) data aggregated into macro-categories. The analysis revealed that, although regional imbalances persist, particularly in mountainous areas or regions with challenging climatic conditions, the network broadly reflects the agricultural landscape in accordance with project objectives. Agricultural categories such as “orchards,” “meadows,” and “complex agricultural surfaces” are often well represented, though limitations in CLC classification likely lead to underestimation in mosaic agroecosystems, such as mixed olive groves and vineyards. An overrepresentation of “anthropic” areas indicated a tendency to situate apiaries in rural yet accessible locations. By combining spatial analyses with field observations and apiary-level data, a refined categorisation of land types and explicit consideration of beekeeping practices, such as nomadism, could strengthen the interpretative capacity of such network. The results underline the importance of spatial validation of stakeholder-driven monitoring to ensure ecological datasets are reliable, policy-relevant, and scientifically robust. Full article

Background. Length of stay, operationalized here as nights per booking (NPB), is a first-order driver of yield, labor planning, and environmental pressure. The COVID-19 pandemic and the rise of long-stay remote workers (often labeled “slomads”, a slow-travel subset of digital nomads) plausibly altered stay-length distributions, yet national, booking-weighted evidence for the United States remains scarce. Purpose. This study quantifies COVID-19 pandemic-era and post-pandemic shifts in U.S. Airbnb stay lengths, and identifies whether higher averages reflect (i) more long stays or (ii) longer long stays. Methods. Using every U.S. Airbnb reservation created between 1 January 2019 and 31 December 2024 (collapsed to booking-count weights), the analysis combines: weighted descriptive statistics; parametric density fitting (Gamma, log-normal, Poisson–lognormal); weighted negative-binomial regression with month effects; a two-part (logit + NB) model for ≥28-night stays; and a monthly SARIMA$(0,1,1){(0,1,1)}_{12}$ with COVID-19 pandemic-phase indicators. Results. Mean NPB rose from 3.68 pre-COVID-19 to 4.36 during restrictions and then stabilized near 4.07 post-2021 (≈10% above 2019); the booking-weighted median shifted permanently from 2 to 3 nights. A two-parameter log-normal fits best by wide AIC/BIC margins, consistent with a heavy-tailed distribution. Negative-binomial estimates imply post-vaccine bookings are 6.5% shorter than restriction-era bookings, while pre-pandemic bookings are 16% shorter. In a two-part (threshold) model at 28 nights, the booking share of month-plus stays rose from 1.43% (pre) to 2.72% (restriction) and settled at 2.04% (post), whereas the conditional mean among long stays was in the mid-to-high 50 s (≈55–60 nights) and varied modestly across phases. Hence, a higher average NPB is driven primarily by a greater prevalence of month-plus bookings. A seasonal ARIMA model with pandemic-phase dummies improves fit over a dummy-free specification (likelihood-ratio = 8.39, df = 2, p = 0.015), indicating a structural level shift rather than higher-order dynamics. Contributions. The paper provides national-scale, booking-weighted evidence that U.S. short-term-rental stays became durably longer and more heavy-tailed after 2020, filling a gap in the tourism and revenue-management literature. Implications. Heavy-tailed pricing and inventory policies, and explicit regime indicators in forecasting, are recommended for practitioners; destination policy should reflect the larger month-plus segment. Full article

Entrepreneurship has proven to be a dynamic force for societal change in urgent global transformation toward sustainability. While governments and established institutions often move slowly, a new wave of entrepreneurs—guided by passion, purpose, and a holistic worldview—are actively shaping alternative paths to sustainable development. This study investigates how entrepreneurs integrate personal purpose, well-being, and a holistic approach into their businesses and lifestyles. Drawing on observations and interviews with selected entrepreneurs, the research employs thematic analysis to explore their motivations, decision-making processes, and the role of environments in shaping their ventures. The findings highlight a distinctive approach of conscious entrepreneurs: a shift from profit maximisation to values-based operations, educational marketing to foster authentic client engagement, and a regenerative leadership style that prioritises balance, relational intelligence, and co-creation. Unlike digital nomads or traditional influencers, these entrepreneurs represent a grounded, intentional lifestyle rooted in inner development and collective transformations. The results of this study contribute to a growing body of interdisciplinary literature on sustainability and entrepreneurship by offering an expanded understanding of purpose and passion in sustainable/conscious entrepreneurship and proposing an updated business model canvas for such entrepreneurs. Full article

The television white space (TVWS) spectrum presents a promising opportunity to extend wireless broadband access, particularly in rural, underserved, and hard-to-reach communities. To leverage this potential, low-power radio communication equipment must efficiently utilise the TVWS spectrum on a secondary basis while ensuring strict compliance with regulatory requirements to prevent harmful interference to primary services. This paper presents a comparative performance analysis of TVWS radio equipment from three original equipment manufacturers (OEMs). The equipment under test was identified to reflect each OEM, as follows: OEM 1 and OEM 2 from South Korea and OEM 3 from the USA. We evaluated their performance in two real-world field scenarios, namely outdoor short-distance and outdoor long-distance. The evaluation was based on the following key metrics: (i) spectrum utilisation efficiency (SUE), (ii) received signal strength (RSS), (iii) downlink throughput, and (iv) connectivity to the Geo-Location Spectrum Database (GLSD) in compliance with the South African TVWS regulatory framework. The overall preliminary experimental results indicate that in both scenarios, white space devices (WSDs) based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11af Standard demonstrated better performance than those based on the 3rd Generation Partnership Project Long-Term Evolution-Advanced (3GPP LTE-A) Standard in terms of the SUE, downlink throughput, and RSS metrics. All WSDs under test demonstrated sufficient compliance with the regulatory requirement metric. Full article

Sheep and goats are essential in many parts of the world, providing meat, milk, and fiber while also aiding rural and low-income communities. The cost of feeding is a major factor in the overall expenses of animal production. Therefore, it is crucial to improve nutrient utilization and accurately assess nutrient needs. Sheep and goats in different parts of the world are raised under different systems influenced by variations in environmental conditions. In tropical areas, sheep and goats often consume low-quality diets that do not meet their production requirements. These substandard diets, which include high-fiber feeds like straw or hay, are commonly provided to small ruminants and can adversely impact their feed intake, digestion, and nutrient absorption. To address these shortcomings, these feeds are usually supplemented with high-energy and protein-rich ingredients. This is achieved by enhancing low-quality feeds and employing strategies such as enriched feed blocks. However, the feeding practices and utilization of sheep and goats are influenced by various factors, including climate, breed, and production system, all of which are critical to consider when assessing their feeding needs. For example, animals that are mobile, such as those in nomadic or grazing systems, expend considerable energy on movement, which requires supplementation. Additionally, an animal’s body size, shaped by genetics, affects chewing rate, rumen pH, and bacterial composition. Meat production factors may be improved with proper use of NFs in small ruminants. This review explores the dietary needs of sheep and goats in relation to different production factors. Full article

Beneath the promise of clean energy, the rapid rise of wind energy farms has stirred mounting concern for pollinator-dependent livelihoods—particularly in beekeeping. This study investigates the effect of wind energy farms on honey-related income using data from six provinces in Turkiye’s Aegean region and the propensity score matching method. Results show that beekeepers operating near wind energy farms experience significantly higher incomes—an average treatment gain of 45,107 TL, with treated groups earning 56,515 TL more—backed by several robust statistical evidence such as placebo and bootstrap techniques. Certain groups—such as younger, nomadic, and family-trained beekeepers, and those receiving financial support—exhibit greater resilience. The findings highlight the need for land-use strategies that balance renewable energy development with ecological and economic concerns. Introducing bee-friendly vegetation around turbines is proposed as a practical solution. This approach can foster a mutually beneficial relationship between wind energy farms and beekeeping, supporting both rural livelihoods and the broader goals of sustainable development. Full article

Nomadic heritage villages constitute significant material cultural heritage. Under China’s cultural revitalization and rural development strategies, these villages face spatial degradation driven by tourism and urbanization. Current research predominantly employs isolated analytical approaches—space syntax often overlooks social dynamics while social network analysis (SNA) overlooks physical interfaces—hindering the development of holistic solutions for socio-spatial resilience. This study proposes a multi-scale integrated assessment framework combining social network analysis (SNA) and space syntax to systematically evaluate public space structures in traditional nomadic villages of Xinjiang. The framework provides scientific evidence for optimizing public space design in these villages, facilitating harmonious coexistence between spatial functionality and cultural values. Focusing on three heritage villages—representing compact, linear, and dispersed morphologies—the research employs a hierarchical “village-street-node” analytical model to dissect spatial configurations and their socio-functional dynamics. Key findings include the following: Compact villages exhibit high central clustering but excessive concentration, necessitating strategies to enhance network resilience and peripheral connectivity. Linear villages demonstrate weak systemic linkages, requiring “segment-connection point supplementation” interventions to mitigate structural elongation. Dispersed villages maintain moderate network density but face challenges in visual integration and centrality, demanding targeted activation of key intersections to improve regional cohesion. By merging SNA’s social attributes with space syntax’s geometric precision, this framework bridges a methodological gap, offering comprehensive spatial optimization solutions. Practical recommendations include culturally embedded placemaking, adaptive reuse of transitional spaces, and thematic zoning to balance heritage conservation with tourism needs. Analyzing Xinjiang’s unique spatial–social interactions provides innovative insights for sustainable heritage village planning and replicable solutions for comparable global cases. Full article

Vajrayāna teaching places the guru outside space and time, while simultaneously manifest in the teacher’s physical body. Those who regard Danzanravjaa primarily as a Buddhist teacher even today have his poems as a potent source of his teaching and consequently as a catalyst for their own spiritual development. But what can we hear across two centuries, and how can we actively listen to his religious teaching through his singular, aphoristic, and complex poetics? And to what extent can we understand today his nomadic perspective on Buddhist teaching in order better to understand the particular nature of Mongolian Buddhism? This paper will examine Danzanravjaa’s poetry in both Mongolian and Tibetan through the intertwining outer, inner, and secret levels of Tibeto-Mongolian Vajrayāna Buddhism, listening to how his poetic language and down-to-earth themes might have spoken to his contemporaries, as well as how they might speak to us today. In doing so, it presents Danzanravjaa’s poetry in a different light—not in terms of nineteenth century literature but as actionable spiritual wisdom from a teacher who, like any other, presents his own direct apprehension of Buddha nature in a challenging, personal style. Full article

Camels have been essential to human survival and development across the arid Central Asian steppes, particularly in Kazakhstan, where the breeding of one-humped and two-humped camels is a longstanding tradition supporting the nomadic lifestyle. This study aimed to assess the genetic diversity and population structure of these camels across their distribution range in Kazakhstan. Blood samples from 100 individuals were collected from five locations, Almaty (ALA), Atyrau (ATR), Shymkent (SHK), Kyzylorda (KZL), and Taraz (TRZ), and genotyped using 17 microsatellite markers. All loci were polymorphic, with a mean observed heterozygosity of 0.707 in C. dromedarius and 0.643 in C. bactrianus. The highest expected heterozygosity (He = 0.939) was observed at VOLP67 in C. bactrianus and at VOLP03 in C. dromedarius. Genetic differentiation was low (FST = 0.021), indicating a weak population structure between the two species with substantial gene flow (Nm = 19.972). The hybrid analysis identified 31% hybrids, including F1, F2, and backcrosses, with the highest frequencies in KZL and TRZ, moderate frequencies in ATR, and lowest frequencies in SHK and ALA. These patterns, consistent with STRUCTURE clustering, reflect widespread but regionally variable hybridization. The phylogenetic analysis revealed three clades, separating Bactrian camels (ALA), dromedaries (SHK), and a hybrid group (ATR, KZL, and TRZ). These findings enhance our understanding of the genetic diversity of Kazakhstan’s camels and support effective conservation, breeding strategies, and genotyping applications in camel husbandry. Full article

This study enhances the classical deterministic SIR model by incorporating soliton-like dynamics and gradient-induced diffusion, effectively capturing the complex spatiotemporal patterns of disease transmission within nomadic populations. The proposed model incorporates an advection–diffusion mechanism that modulates the spatial gradients in infection dynamics, transitioning from highly localized infection peaks to distributed infection fronts. We discussed the role of diffusion coefficients in shaping the spatial distribution of susceptible, infected, and recovered populations, as well as the impact of gradient-induced advection in mitigating epidemic intensity. Numerical simulations demonstrate the effects of varying key parameters such as transmission rates, recovery rates, and advection–diffusion coefficients on the epidemic’s progression. The soliton-like dynamics ensure the stability of infection waves over time, specifying targeted intervention strategies such as localized quarantines and vaccination campaigns. This model underscores the critical importance of spatial heterogeneity and mobility patterns in managing infectious diseases. The applicability of the model has been tested using the AIDS data from the last 25 years. Full article

The Mongolian Plateau, a region where nomadic and agrarian civilizations intersect, exemplifies regional sustainable development and natural resource utilization through the spatiotemporal distribution of cultivated land. However, large-scale, long-term, high-precision extraction of cultivated land has not been systematically conducted in this area. This study integrated remote sensing technology with machine learning methodologies to develop an automated extraction process based on spectral, textural, and topographical features. We monitored changes in cultivated land across eight time periods from 1990 to 2023 within the Selenge River Basin, utilizing Google Earth Engine and 3527 scenes derived from Landsat and Sentinel satellite imagery. The area of cultivated land fluctuated between 6332.78 km² and 14,799.22 km², representing 2.26% to 5.29% of the total area. Cultivated land exhibited a significant decline prior to 2005 and gradually increased after 2010, largely influenced by agricultural policy reforms. Traditional nomadic areas showed a spatial pattern of reconstruction, characterized by a significant transformation to agricultural land. The overall accuracy exceeded 90%, and kappa coefficients remained above 0.83. Consistency checks and comparisons of different integration methods further validate the feasibility and reliability of the research methods and results. This approach holds promise for application across the entire Mongolian Plateau and other arid and semi-arid regions for monitoring cultivated land dynamics. Full article

Portuguese society has evolved and transformed, and with it, social models: family structures have changed, with smaller households replacing the traditional nuclear family; labor models have shifted, with a significant increase in telecommuting and a surge of digital nomadism; and consumption patterns have altered, with some domestic activities being transferred from the home to the city. In light of these transformations, this article proposes a critical examination of housing models developed in Lisbon over recent decades, comparing them with dwellings built since the mid-20th century. Through selected case studies, it questions the adequacy of contemporary housing programs in addressing present-day social structures and living patterns. Methodologically, the paper firstly proposes an analysis of Portuguese social models and their transformation through census data and social sciences studies, followed by a critical review of contemporary urban housing models through spatial analysis of selected urban dwellings of the last 70 years, through the redrawing and visual comparison of the plans. The study adopts a spatial analysis of representative collective dwellings built in Lisbon since the 1950s, chosen for their prevalence, sectoral diversity, data availability, and the city’s central role in Portuguese housing development and research. The research concludes that there has been a perpetuation of anachronistic dwelling models in Lisbon, limiting adaptability to diverse living modes, and suggests a new approach to dwelling design, promoting undetermined and ambiguous spatial configurations that allow for greater adaptability to an evolving society, changing practices, and living arrangements. Full article

A new way of life and work—digital nomadism—is increasingly appealing to a growing global workforce, while many destinations are beginning to view this form of tourism not only as an economic opportunity but also as a strategic tool for mitigating seasonality and promoting sustainable destination development. This paper aims to identify the key criteria that digital nomads consider when selecting a temporary residence base, contributing to the growing body of research on digital nomadism by analysing the relative impact of various factors influencing destination choice. The originality of this study lies in its mixed-method approach, which combines secondary and primary data through a netnographic analysis of online communities and semi-structured interviews with digital nomads. Findings from the secondary data highlight the cost of living, internet quality, and lifestyle offerings of a destination as the most influential factors in nomadic decision-making. Additionally, primary data further illustrate the hierarchy of digital nomads’ needs and preferences, which are classified and prioritised based on Maslow’s hierarchy of needs. These insights carry significant implications for destination managers and tourism stakeholders. Understanding and responding to the evolving expectations of digital nomads can help destinations not only attract this emerging market segment but also design policies and infrastructure that align with principles of sustainable tourism. Full article

The reconstruction of cropland across historical periods offers valuable insights into the relationship between climate change and human–environment interactions. By extracting key demographic and tax revenue data from historical documents, we estimated cropland data during the Tubo, Yuan, Ming, and Qing dynasties for the Rikaze area in China. Subsequently, according to the characteristics of cropland fragmentation in the Rikaze area, we employed geographically weighted regression (GWR) to reconstruct the 1 km × 1 km cropland cover datasets across the four dynasties for the Rikaze area. The findings are as follows. The amount of cropland showed that the change in cropland in the Rikaze area in the four periods was extremely high, which reflects the great instability of cropland in the Rikaze area. Under the combined action of social unification, cropland production policies, and a suitable climate, the Tubo dynasty was the most significant period of cropland development in the Rikaze area, with the area of cropland reaching 591,927 mu. However, under the influence of the nomadic regime and harsh climate in the Yuan dynasty, the cropland area was sharply reduced, reaching only 18,338 mu. During the Ming and Qing dynasties, the cropland area increased steadily, reaching 200,000 mu and 547,000 mu, respectively. The spatial distribution of cropland shows that the cropland in the Rikaze area is mainly distributed in the middle reaches of the Yarlung Zangbo River, the middle and lower reaches of the Nianchu River, and the Pengqu River Valley. Counties and districts with better agricultural conditions, such as Jiangzi, Bailang, and Renbu, are the main concentration areas of cropland in the Rikaze area. The overall spatial distribution pattern of cropland shows fragmented distribution along rivers, highlighting the characteristics of valley cropland. The research in this paper represents the active exploration of the reconstruction of cropland distribution under complex terrain conditions. Full article