Search Results (56)

We investigated the spatial structure and colony itinerancy of Audouin’s gull (Ichthyaetus audouinii) adult breeders across multiple breeding sites in the central Mediterranean Sea during 25 years of fieldwork. Using cluster analysis of marked individuals from different years and sites, we identified five spatial breeding units of increasing hierarchical scale—Breeding Sites, Colonies, Districts, Regions and Marine Sectors—which reflect biologically meaningful boundaries beyond simple geographic proximity. To determine the most appropriate scale for monitoring local populations, we applied multievent capture–recapture models and examined variation in survival and site fidelity across these units. Audouin’s gulls frequently change their location at the Breeding Site and Colony levels from one year to another, without apparent survival costs. In contrast, dispersal beyond Districts boundaries was found to be rare and associated with reduced survival rates, indicating that breeding Districts represent the most relevant biological unit for identifying local populations. The survival disadvantage observed in individuals leaving their District likely reflects increased extrinsic mortality in unfamiliar environments and the selective dispersal of lower-quality individuals. Within breeding Districts, birds may benefit from local knowledge and social information, supporting demographic stability and higher fitness. Our findings highlight the value of adopting a District-based framework for long-term monitoring and conservation of this endangered species. At this scale, demographic trends such as population growth or decline emerge more clearly than when assessed at the level of singular colonies. This approach can enhance our understanding of population dynamics in other mobile species and support more effective conservation strategies aligned with natural population structure. Full article

This article presents the concept and principles of digital technology for community development and community developers. An approach for creating no-code mobile applications for community developers’ fieldwork surveys is also proposed to organize a digital technology skill training program focused on no-code mobile application development for community developers. The training program consists of a two-day hands-on workshop in no-code mobile application development with 50 community developers participating in its development. A 70% increase in participants’ knowledge of utilizing digital technology for local community development was observed, with all participants (100%) successfully developing no-code mobile applications for surveying data on their communities. Additionally, the participants expressed high satisfaction with the training format and content, with an average score of 4.80. Digital technology knowledge is essential for contemporary community development efforts. Empowering community developers, especially those engaged in fieldwork, to independently acquire mobile app development skills or access continuous learning resources significantly enhances their professional capacity. This empowerment leads to more effective and efficient community development practices, particularly in community data collection. Full article

The Catholic Church in Denmark hosts several migrant communities, with the Polish-speaking group among the largest and most visible. Institutionally, Catholic priests from Poland serve as chaplains for migrant congregations, accompanying these mobilities and providing educational practices (e.g., family guidance, biblical teaching). This paper examines how perspectives on Catholic scriptural authority differ between the Church’s institutional representatives and its members, revealing tensions between biblical authority, social accommodation, and family values in a migratory setting. Based on 20 months of fieldwork in a Polish Catholic community in Copenhagen, this paper highlights the dynamic interplay of how Church members assess scriptural authority as evaluative engagement in their transnational lives in the Danish public sphere, illustrated through interconnected ethnographic excerpts. This article illustrates how scriptural engagement offers a productive lens to explore divergent notions of Polish Catholic diasporic life and the tensions between transnational religion, national belonging, and moral navigation. Full article

Sustainability is currently seen as the central unifying idea necessary to mobilize collective responsibility to address the set of serious problems and challenges facing humanity, appealing to cooperation and the defense of the general interest. This article analyzes the social sustainability of the rural environment, in order to enhance its value beyond the traditional agricultural activities of the territory. Methodologically, it is based on ethnographic fieldwork through participant observation and in-depth interviews, carried out in the rural environment of Castilla y León. This has allowed us to reflect on the strategies that we have tried to articulate, combine, and relate to achieve rural social sustainability. The conclusions show the need to give political content to the rural space and the elements that derive from it. Political, economic, and social problems cannot be solved only from the local level; they need to create alliances beyond the communities to deal with economic structures that seek continuous growth. Full article

Coal gangue dumps, a byproduct of coal mining, contribute significantly to heavy metal contamination, impacting soil and water quality. In order to assess the levels of heavy metal contamination in soils at different stages of abandonment, this study investigated the role of Miscanthus floridulus (M. floridulus) in the spatial distribution and remediation of six heavy metals (Cd, Cr, Mn, Ni, Cu, and Pb) in coal gangue dump soils abandoned for 0, 8, and 12 years in Pingxiang City, Jiangxi Province, China. Fieldwork was conducted at three sites operated by the Pingxiang Mining Group: Anyuan (active, barren), Gaokeng (8 years, natural vegetation), and Qingshan (12 years, partially remediated). Anyuan remains largely barren, while Gaokeng supports natural vegetation without formal remediation. In contrast, Qingshan supports diverse plant species, including M. floridulus, due to partial remediation. Using a randomized design, root exudates, heavy metal concentrations, and soil properties were analyzed. The results showed that Cd poses the highest ecological risk, with concentrations of 64.56 mg kg⁻¹ at the active site, 25.57 mg kg⁻¹ at the 8-year site, and 39.13 mg kg⁻¹ at the 12-year site. Cu and Pb showed accumulation, while Cr and Mn decreased over time. Root exudates from M. floridulus enhanced metal bioavailability, influencing Cd, Cr, and Ni concentrations. These findings highlight the importance of rhizosphere processes in metal mobility and inform sustainable remediation strategies for post-mining landscapes. Full article

This paper explores the diverse array of digital tools utilized for data acquisition in archaeology. This abstract outlines the various categories of digital tools commonly employed, including geographic information systems (GISs), global positioning systems (GPSs), remote sensing technologies, 3D scanning and photogrammetry, drones and aerial photography, as well as mobile applications and digital recording systems. Each category is elucidated with examples of their application in archaeological research, emphasizing their roles in site mapping, spatial data collection, artefact documentation, and landscape analysis. Furthermore, it discusses the advancements, challenges, and best practices associated with the integration of digital tools into archaeological fieldwork. It also highlights the potential for future developments in digital technologies to enhance data acquisition capabilities further, ultimately contributing to a deeper understanding of human history and cultural heritage. Full article

The complexity of watershed pollution governance necessitates the involvement of multiple stakeholders, with increasing emphasis on public participation. In response, China introduced the river chief system and gradually established civilian river chiefs and environmental supervisors as channels for public engagement. However, questions remain about how to effectively and sustainably engage the public while addressing watershed pollution. To explore this, we employed an action research approach, focusing on a case from Guiyang, which pioneered the “Dual River Chief System” and introduced civilian environmental supervisors, significantly mobilizing public involvement and controlling pollution. By analyzing the selection background, criteria, responsibilities, training, support mechanisms, and fieldwork of civilian environmental supervisors, we found that their primary tasks were monitoring watershed conditions and mobilizing broader public participation, with selection criteria focusing on interest in watershed governance and regional influence. At the same time, training and expert support were provided to enhance their investigative capabilities and ensure accurate results. This also fostered greater commitment and confidence among the supervisors, further promoting public participation in watershed governance. Despite its success, the approach relied heavily on the groundwork and local networks of civilian river chiefs and required significant time and effort in the early stages, posing certain limitations. Full article

Thorough investigations into air temperature variation across urban environments are essential to address concerns about city livability. With limited research on smaller cities, especially in the American Midwest, the goal of this research was to examine the spatial patterns of air temperature across multiple small to medium-sized cities in Iowa, a relatively rural US state. Extensive fieldwork was conducted utilizing manually built mobile temperature sensors to collect air temperature data at a high temporal and spatial resolution in ten Iowa urban areas during the afternoon, evening, and night on days exceeding 32 °C from June to September 2022. Using the random forest machine-learning algorithm and estimated urban morphological variables at varying neighborhood distances derived from 1 m² aerial imagery and derived products from LiDAR data, we created 24 predicted surface temperature models that demonstrated R² coefficients ranging from 0.879 to 0.997 with the majority exceeding an R² of 0.95, all with p-values < 0.001. The normalized vegetation index and 800 m neighbor distance were found to be the most significant in explaining the collected air temperature values. This study expanded upon previous research by examining different sized cities to provide a broader understanding of the impact of urban morphology on air temperature distribution while also demonstrating utility of the random forest algorithm across cities ranging from approximately 10,000 to 200,000 inhabitants. These findings can inform policies addressing urban heat island effects and climate resilience. Full article

This paper investigates rural mobility in the Global South using a participatory GIS approach to address the lack of mobility data that hampers sustainable planning to support rural development and resilience. Limited rural mobility due to poor infrastructure and financial constraints hinders social and economic activities, impeding development. The study aims to explore the socio-economic impacts of limited mobility, identify software needs for data-scarce environments, and map daily mobility patterns. Fieldwork was conducted in Kenya (2022) and Nepal (2023), collecting geographic data related to mobility. The methodology included community engagement and digital mapping using the QField app for precise data collection. The study highlights the use of participatory GIS to fill data gaps, enabling more accurate mobility assessments. Community engagement revealed gender-specific mobility patterns, with women facing particular challenges in daily activities. The study emphasizes the need for adaptable data models to reflect community-specific mobility needs and the integration of qualitative insights to propose effective and sustainable mobility solutions. This research contributes to understanding rural mobility in the Global South and demonstrates the effectiveness of participatory GIS in overcoming data scarcity and enhancing mobility analysis. Full article

With the ageing of the population in Western countries, the prevalence of disability and mobility problems is increasing, highlighting the urgent need to improve accessibility in environments where people spend a significant amount of time, such as collective housing. This paper examines the accessibility of building entrances in collective housing in the Region of Murcia, south-eastern Spain, where 9.8% of the population is estimated to live with disabilities. Starting with a thorough review of national and regional accessibility regulations, this study applies a robust methodology by conducting fieldwork in 150 buildings to assess compliance and identify barriers. The methodology involved a systematic assessment of the accessibility of entrances, using criteria derived from the regulations, and a specific proposal of the accessibility solutions required for each case. The key findings show that the most effective way for improving the accessibility is a properly constructed ramp, with over 40% of buildings requiring the installation or improvement of ramps, either as a stand-alone solution or in combination with other adaptations. In 54% of cases, a multi-faceted approach was required to meet accessibility standards. It was also noted that older buildings typically require higher adaptation costs. Based on these findings, the study provides specific recommendations, such as the construction of ramps and other critical interventions, to improve the accessibility of buildings. These recommendations have the potential to guide public policy and drive improvements in urban planning to make residential areas more accessible. Full article

In northeast Russia, the famous historic Kolyma Road spans two thousand kilometers across two federal subjects of the Russian Federation: the Sakha Republic (Yakutia) and Magadan Oblast. Thousands of people live along and in close proximity to the road, depending on it for communication, mobility, goods, and life support. As the major transportation infrastructure in the entire region, it should be reliable and stable for local communities’ well-being. One strategic approach to ensure its reliability is to acknowledge the role of Indigenous knowledge, which has been neglected despite being established long before the emergence of existing formal systems of communication. Based on data collected through fieldwork, personal observations, and conversations, this paper aims to demonstrate that Indigenous knowledge regarding ways of living, moving, and communicating along and on the road is the key to sustainability in the region. As a result, we claim that this realization should be manifested in designing and implementing communication and mobility systems based on the principles of diversity, equity, and inclusion. In the long term, it is necessary to develop a sustainable road management system for the Kolyma Road to ensure the security and well-being of local communities and for everyone visiting and working on the road. Full article

In recent years, the number of Chinese Christian organizations in Europe has grown considerably compared to other overseas Chinese community organizations. They can mobilize transnational networks and resources to expand religious space in host societies and form a highly visible social force. Although the rise of early Christianity in the Western world has been considered an outcome of inherent religious strength, especially in terms of its central doctrines and religious ethics, this article suggests that in the diasporic Chinese world where Christianity constitutes a non-indigenous religious tradition, social relatedness based on native place, family, and kinship ties provides a more useful context for understanding its dynamic expansion and cross-regional transmission. Drawing on anthropological fieldwork conducted in Europe among overseas Chinese Christian traders and entrepreneurs, this research seeks an alternative framework for understanding the religious-cultural dynamics of Chinese Christianity in the context of transnational migration. Full article

Climate change seriously threatens human systems, properties and livelihoods. Global projections suggest a continuous increase in the frequency and severity of weather events, with severe outcomes. Although the trends and impacts are highly variable depending on location, most studies tend to concentrate on either the urban or rural areas, with little focus on peri-urban areas. Yet, in Sub-Saharan Africa, peri-urban areas display unique characteristics: inadequate infrastructure, unplanned development, weak governance, and environmental degradation, all of which exacerbate flood impact and thus need academic attention. This study contributes to filling this gap by assessing the flood vulnerability of roads in peri-urban Accra and its implications for mobility. Based on the fieldwork, the study delineated and analysed potential zones within the research locations. The researchers calculated roads’ absolute and relative lengths, using a spatial overlay (intersection) of potentially flooded roads with the total road network within the grid cells of 500 m by 500 m. These measures were adopted and used as exposure measures. The findings revealed that over 80% of roads with lengths between 100 m and 500 m were exposed to floods. Some areas had higher exposure indices, with absolute road lengths ranging from 1.5 km to 3.2 km and relative road lengths between 0.8 and 1.0. There were significant variations in road exposure between and within neighbourhoods. Depending on the depth and duration of the floodwater, residents may be unable to access their homes or carry out their daily activities. In conclusion, this study highlights the differential vulnerability of peri-urban areas to road flooding and recommends targeted provision of flood-resilient infrastructure to promote sustainable development. Full article

Non-governmental organizations (national and international) are important actors in addressing health issues in Kenya. Sandflea/jigger infections (tungiasis) are a public health challenge that severely affect children, older adults, and other vulnerable people in poor communities worldwide. In Kenya, NGOs have been involved in sandflea eradication for more than twenty years. Without treatment, the flea may cause debilitating infections and sores, resulting in difficulties with walking and grasping, as well as social harassment. This paper aims to shed light on health workers’ and volunteers’ perceptions of the government and civil society’s role in fighting jigger infections. Data were collected through a qualitative case study design, with a three-month fieldwork including participation in mobile jigger removal programs, 18 semi-structured in-depth interviews, informal talks, and observations, in five villages in Bungoma County. The thematic analysis of the data resulted in three recurring themes: (1) the NGO-driven jigger program as a (fragile) resource for local communities, (2) the need for more consistent collaboration between NGOs and public health services, and (3) the local perceptions of the governments’ responsibilities in combatting the plague. The findings imply that the 10-year-old national policy guidelines on the prevention and control of jigger infestations need to be updated; this includes the coordination of the public and private actors’ roles, the incorporation of lessons learned, and the need for a multisectoral One Health approach to combat the jigger menace in the country. Full article

We present an evaluation of different deep learning and machine learning approaches for tree health classification in the Black Forest, the Harz Mountains, and the Göttinger Forest on a unique, highly accurate tree-level dataset. The multispectral UAV data were collected from eight forest plots with diverse tree species, mostly conifers. As ground truth data (GTD), nearly 1500 tree polygons with related attribute information on the health status of the trees were used. This data were collected during extensive fieldwork using a mobile application and subsequent individual tree segmentation. Extensive preprocessing included normalization, NDVI calculations, data augmentation to deal with the underrepresented classes, and splitting the data into training, validation, and test sets. We conducted several experiments using a classical machine learning approach (random forests), as well as different convolutional neural networks (CNNs)—ResNet50, ResNet101, VGG16, and Inception-v3—on different datasets and classes to evaluate the potential of these algorithms for tree health classification. Our first experiment was a binary classifier of healthy and damaged trees, which did not consider the degree of damage or tree species. The best results of a 0.99 test accuracy and an F1 score of 0.99 were obtained with ResNet50 on four band composites using the red, green, blue, and infrared bands (RGBI images), while VGG16 had the worst performance, with an F1 score of only 0.78. In a second experiment, we also distinguished between coniferous and deciduous trees. The F1 scores ranged from 0.62 to 0.99, with the highest results obtained using ResNet101 on derived vegetation indices using the red edge band of the camera (NDVIre images). Finally, in a third experiment, we aimed at evaluating the degree of damage: healthy, slightly damaged, and medium or heavily damaged trees. Again, ResNet101 had the best performance, this time on RGBI images with a test accuracy of 0.98 and an average F1 score of 0.97. These results highlight the potential of CNNs to handle high-resolution multispectral UAV data for the early detection of damaged trees when good training data are available. Full article