Search Results (151)

Understanding the spatial dynamics and drivers of armed conflict is crucial for anticipating risk and informing targeted interventions. However, current research rarely considers the spatio-temporal clustering characteristics of armed conflicts. Here, we assess the distribution dynamics and driving factors of armed conflict from the perspective of armed conflict clusters, employing complex network dynamic community detection methods and interpretable machine learning approaches. The results show that conflict clusters vary in terms of regional distribution. Sub-Saharan Africa boasts the highest number of conflict clusters, accounting for 37.9% of the global total and covering 40.4% of the total cluster area. In contrast, South Asia and Afghanistan, despite having a smaller proportion of clusters at 12.1%, hold the second-largest cluster area, which is 18.1% of the total. The characteristics of different conflict networks are influenced by different factors. Historical exposure, socio-economic deprivation, and spatial structure are the primary determinants of conflict patterns, while climatic variables contribute less prominently as part of a broader system of environmental vulnerability. Moreover, the influence of driving factors shows spatial heterogeneity. By integrating cluster-level analysis with interpretable machine learning, this study offers a novel perspective for understanding the multidimensional characteristics of armed conflicts. Full article

The Sonora Estuarine Biocultural Corridor (CBES) is made up of six coastal wetlands with mangrove forest, internationally certified as Ramsar Sites. Four are part of indigenous territories whose inhabitants have serious development lags and low water security. Five are within one or more of six irrigation districts of national relevance. The objective is to learn about the socio-environmental problems of the CBES, focused on the issue of water, as well as community proposals for solutions. Intercultural, mixed methodology approach. Prospecting visits were carried out in the six estuaries of the CBES, and 84 semi-structured interviews were conducted with experts from all social sectors who know the problems of the CBES in three (out of six) estuaries associated with indigenous territories. The main problem is centered on the issue of water: they receive contaminated water from agroindustry, aquaculture, and the municipal service; the fresh water of the rivers is almost nil, rainfall has decreased while the heat increases, and marine and terrestrial biodiversity decreases. This affects the food and economic security of the local population and generates conflicts between the different productive activities. A multisectoral organization that integrates the six estuaries would improve community wellbeing and, in turn, climate resilience. Full article

African cities are experiencing rapid, unregulated growth, characterized by high land pressure and growing demand for housing and urban infrastructure. New arrivals often settle in vulnerable areas (wetlands, hills, flood) where land is cheaper and unregulated by public authorities. This type of settlement is accompanied by numerous land conflicts, exacerbated by the coexistence of formal and customary land tenure systems, which struggle to harmonize. In this context, public land regulation policies often remain centralized and ill-adapted, revealing their limitations in ensuring equitable and sustainable management of urban land. Faced with this gap, our systematic study explores the socio-environmental dynamics of this normative pluralism in land governance within Cameroonian cities. Our findings highlight the tensions and opportunities of this complex coexistence, which vary significantly according to city size (small, medium, and large), the colonial heritage (Francophone and Anglophone), and the dominant legal framework (civil law and common law). The analysis highlights the need to take into account historical, linguistic, and politico-administrative roots, which profoundly influence local forms of the institutionalization of normative pluralism and the associated socio-environmental vulnerabilities. This normative plurality underlines the importance of a hybrid system of land governance capable of integrating local specificities while ensuring land security for all. Future research will include comparisons with other African countries in order to understand transferable mechanisms for better land governance. Full article

Temporary use of space in degraded areas is gaining significance in spatial planning due to limitations and conflicts stemming from traditional models that overlook social (soft) environmental components. This article addresses the lack of socio-ecological indicators in contextual analyses that precede planning processes in degraded areas. Using a plural case study approach across sites in Portugal and Slovenia, it combines primary data from semi-structured questionnaires and terrain analysis with secondary sources. The findings reveal that only specific types of temporary uses foster dynamic and adaptive social networks among stakeholders. These networks enhance the social and environmental sustainability of urban areas, particularly when socio-ecological indicators are refined to account for informal practices, community engagement and cultural value. Furthermore, the study highlights how these practices contribute to social sustainability by supporting inclusive governance models and stimulating local economies. A key finding of the study is the identification of a strong link between social networks and environmental sustainability, highlighting the need to incorporate updated socio-ecological indicators into spatial planning for degraded areas. Temporary uses are not merely stop-gap solutions but also strategic tools for cultivating sustainable urban areas. Full article

Since the early 2000s, sustainable development in agriculture has attracted substantial political attention, institutional support, and financial commitment, raising expectations for tangible outcomes. Yet, measurable progress remains uneven. As a leading food exporter, Brazil, in particular, has come under global scrutiny for practices deemed unsustainable—such as deforestation, excessive use of agrochemicals, and socio-environmental conflicts—despite its agricultural sector being a vital contributor to global food security. To provide policymakers with a robust monitoring tool, this study develops a nonlinear regression model that quantifies rural sustainability across economic, social, and environmental dimensions. We selected seven indicators—gross value added, average rural income, life expectancy, schooling years, preservation-area deficit, legal-reserve deficit, and water-scarcity deficit—to compute individual sub-indexes. These are combined into a composite rural sustainability index and applied to data from 141 municipalities in Mato Grosso. The results demonstrate that only municipalities achieving high and balanced scores in all three pillars can be deemed sustainable. Our framework contributes to the growing body of triple-index methodologies by offering a replicable, statistically robust tool tailored to agrarian contexts. It provides actionable insights for regional decision-makers aiming to balance productivity, environmental preservation, and social well-being in agricultural frontier regions. Full article

This study adapted the Socioenvironmental Vulnerability Index (SEVI) for rural communities in Espírito Santo, Brazil, considering climatic, environmental and social factors. The analysis included using an integration of indices, such as the Environmental Vulnerability Index (EnVuIn) and the Social Vulnerability Index (SVI). The inclusion of variables, such as the Water Quality Index (WQI), the percentage of conflicting use of Permanent Preservation Areas (PPAs) and the existence of water reservoirs, presented new elements that directly influence environmental vulnerability. The results indicate significant human interference in PPAs with high rates of conflicting use, especially in the communities of Boa Esperança (85.8%) and José Marcos (85.4%). The absence of water reservoirs proved to be a critical factor for the water security of the communities. Communities such as Novo Sonho presented high poverty rates, reflecting a high SVI (0.61). The EnVuIn indicated high environmental vulnerability in the communities of Boa Esperança, Santa Clara, Ita, Novo Sonho and Monte Alegre. Integrating the indicators and adapting the methodology resulted in a high SEVI for most communities, with emphasis on Novo Sonho and Boa Esperança (0.54), classified as very high. The study reinforces the need for public policies to reduce socioenvironmental risks and promote sustainability in rural communities. Full article

Macau’s aging communities face growing challenges in meeting the needs of older residents due to rising population density and extremely limited land resources. The concentration of outdated residential buildings—home to a substantial older adult population—exacerbates issues related to age-associated physical decline. For seniors who prefer familiar environments, the spatial constraints inherent in these densely built urban areas increasingly conflict with their specific gerontological needs, indicating the urgent need for urban renewal. This study employs a multi-methodological framework to examine aging populations in Macau’s high-density urban contexts. In Phase I, questionnaire surveys combined with SPSS 26.0-based cluster analysis are employed to (1) stratify older adults according to walking behavior patterns; (2) identify subgroup-specific needs and (3) establish key demographic correlates. Based on the socio-ecological framework, Phase II implements spatial analytics through ArcGIS demarcation of pedestrian catchment areas. This phase further integrates point-of-interest (POI) distribution analysis with space syntax-derived axial map evaluations to formulate typological mobility guidelines for different age cohorts. This study outlines the community walking space requirements of older adults in Macau and explores the influence of high-density community spaces on older adults. A practical evaluation method is proposed to assess age-friendly features of urban pathways, identifying the key environmental factors and their respective impacts. These preliminary findings may inform basic planning principles and adaptive design approaches for older adult-oriented pedestrian spaces. Full article

Leaky dams have become essential nature-based solutions for flood management, providing sustainable alternatives to traditional engineered flood control methods. This review delves into the mechanisms by which leaky dams operate, including the regulation of water flow through velocity reduction and distribution across floodplains, effective sediment trapping and soil quality enhancement, and the facilitation of groundwater recharge and water table stabilization. These structures not only mitigate peak flood flows and reduce erosion but also contribute to enhanced biodiversity by creating diverse aquatic habitats and maintaining ecological connectivity. The effectiveness of leaky dams is assessed through various performance metrics, demonstrating significant reductions in peak flows, improved sediment management, and increased groundwater levels, which collectively enhance ecosystem resilience and water quality. However, the implementation of leaky dams presents several technical challenges, such as design complexity, hydrological variability, maintenance requirements, and socio-economic factors like land use conflicts and economic viability. Additionally, while leaky dams offer numerous environmental benefits, potential negative impacts include habitat disruption, sediment accumulation, and alterations in water quality, which necessitate careful planning and adaptive management strategies. Emerging trends in leaky dam development focus on the integration of smart technologies, such as real-time monitoring systems and artificial intelligence, to optimize performance and resilience against climate-induced extreme weather events. Advances in modeling and monitoring technologies are facilitating the effective design and implementation of leaky dam networks, promoting their incorporation into comprehensive watershed management frameworks. This review highlights the significant potential of leaky dams as integral components of sustainable flood management systems, advocating for their broader adoption alongside conventional engineering solutions to achieve resilient and ecologically balanced water management. Full article

Small- and medium-sized ports (SMSPs) face multifaceted challenges, including environmental pressures (pollution, resource depletion) as well as socio-economic strains (community impacts, trade dynamics). Governance complexities, regulatory fragmentation, limited funding, and stakeholder conflicts further exacerbate these challenges. This study identifies context-driven sustainability indicators for SMSPs and proposes best practices to enhance their resilience. Four small/medium-sized ports (SMSPs) in Crete, Greece—Souda (CHA), Heraklion (HER), Rethymnon (RET), and Sitia (SIT)—were evaluated to benchmark their sustainability performance using tailored indicators. The primary objectives were the following: (a) to identify sustainability indicators relevant to SMSPs, focusing on economic, environmental, and social aspects, and (b) to propose best practices for enhancing sustainability in these ports, considering their unique characteristics and constraints. A combination of the Best Worst Method (BWM) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) analysis was employed. The findings revealed that “environmental monitoring and management” and “security of employment and social protection” are top priorities for medium-sized ports, while “competitiveness” was a crucial indicator for small ports, emphasizing the need for financial sustainability in the context of global trade. These results offer a strategic roadmap for policymakers, guiding interventions aimed at improving the sustainability and resilience of SMSPs, thereby supporting regional economies and international trade networks. Full article

In this study, the systemic challenges of water governance in Guanajuato, Mexico, are examined through a political ecology framework, identifying how governance failures, power asymmetries, and socio-environmental inequalities contribute to water scarcity and mismanagement. Guanajuato, a key agricultural and industrial hub in Mexico’s semi-arid Bajío region, faces severe aquifer depletion, pollution, and institutional fragmentation, disproportionately affecting rural and marginalized communities. Using a qualitative research design, 25 semi-structured expert interviews and a case study analysis were conducted, applying thematic coding and content analysis to examine governance structures, regulatory gaps, and socio-environmental conflicts. The findings revealed that institutional fragmentation, preferential water allocation to industry, and weak enforcement mechanisms perpetuate governance failures, with community resistance and alternative governance strategies emerging as key responses. The results of this study emphasize the need for adaptive governance reforms, including measures such as integrating local knowledge, strengthening participatory decision-making, and fostering cross-sector collaboration to ensure equitable resource distribution and environmental sustainability. Guanajuato’s case offers critical insights for improving water governance in arid regions globally, demonstrating the relevance of political ecology in analyzing and addressing governance asymmetries in water management. Full article

Among the diverse challenges to the sustainability of China’s rich tangible cultural heritage, climate change, associated with increased temperatures, altered precipitation regimes, and the augmented frequency and magnitude of extreme events, is regarded as one of the most prominent. However, there is a diverse range of rapidly emerging environmental and socio-economic hazards that threaten cultural heritage in the country but have thus far received scant attention in this context. Without adequate attention and intervention, the sustainability of the country’s historic urban heritage is highly vulnerable. Anthropocene threats to this important legacy include climate change, sea level rise, land subsidence, water and air pollution, rampant urbanization, and tourism. Suzhou, situated in the low-elevation Yangtze River delta within one or two meters of current sea level, lies in the heart of one of the fastest socio-economically developing and urbanizing regions in the world and is especially vulnerable to the range of threats. As one of the jewels in the crown of China’s architectural heritage, Suzhou represents a model case in which to consider the conflicting interests of socio-economic development and environmental and cultural conservation in the context of rapidly changing environmental conditions. In this review, we consider the diverse risks to the sustainability of Suzhou’s cultural heritage posed by these circumstances, highlight key problems, and prioritize the most urgent issues requiring attention. In recognizing the spatial and temporal nature of these multiple challenges, we highlight the need for integrated approaches to safeguard the sustainability of such valuable resources. Moreover, considering the imperative of accelerating progress towards the UN Sustainable Development Goals and reflecting on current theories of sustainable management of urban cultural heritage, we outline the potential policy and practice implications for the conservation of Suzhou’s historic buildings, canals, and gardens. Full article

Carbon dioxide (CO₂) emissions are a central issue in the conflict between economic development and environmental protection. Optimizing land use to balance development and conservation plays a crucial role in reducing carbon emissions. The transfer of development rights (TDR), as an emerging market-based policy tool, can effectively achieve a “win-win” situation between development and conservation. However, its empirical impact on carbon emission reduction remains insufficiently explored. This study focuses on the Guangxi Zhuang Autonomous Region in China. It constructs four scenarios—nature, development, protection, and TDR—using the PLUS model. These scenarios are combined with 2030 projections of energy consumption and socio-economic development generated by a Long Short-Term Memory (LSTM) network and evaluated using the carbon emission factor method. The results indicate that both urban–rural and cross-regional transfers of construction land rights positively contribute to reducing carbon emissions, and their combination yields the most significant benefits. The TDR scenario can protect the ecological environment while effectively controlling the scale of construction space. With a carbon emission level of 77.9 million tonnes, it serves as a rational choice for regional land use. This study contributes to advancing both the theory and practice of low-carbon land use and plays a significant role in optimizing land resource allocation and reducing carbon emissions. Full article

The Darfur conflict, which emerged in the early 21st century, represents a multifaceted crisis driven by socio-political and environmental factors, with resource scarcity, exacerbated by climate change, playing a pivotal role in intensifying tensions between agricultural and pastoral communities. While climate change is typically associated with adverse environmental outcomes, an analysis of data spanning four decades (1980–2023) reveals a contrasting trend of increased precipitation, enhanced vegetation, and decreased drought frequency in recent years. This research explores the potential of these positive environmental changes to mitigate resource-based conflicts and foster political stability in Darfur as improved environmental conditions are posited to create a foundation for conflict resolution and sustainable peacebuilding. The present study integrates trends in the Enhanced Vegetation Index (EVI) and the Standardized Precipitation Evapotranspiration Index (SPEI) to examine these shifts. EVI data, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) at a 250 m resolution, was used to assess large-scale vegetation patterns in arid and semi-arid landscapes. The Autoregressive Integrated Moving Average (ARIMA) model was employed to forecast future precipitation scenarios up to the year 2034, enhancing the understanding of long-term climatic trends. Data processing and analysis utilized advanced tools, including Google Earth Engine (GEE), ArcGIS Pro (version 3.4), and R software (version 4.3.2). The findings reveal a significant (33.19%) improvement in natural vegetation cover between 2000 and 2023, with degraded and unchanged areas accounting for 1.95% and 64.86%, respectively. This finding aligns with a marked increase in annual precipitation and a reduction in drought intensity over the study period. Historical SPEI analysis showed persistent drought events between 1980 and 2012, followed by a notable decline in drought frequency and severity from 2013 to 2024. Precipitation projections suggest a stable trend, potentially supporting further vegetation recovery in the region. These environmental improvements are preliminarily linked to climate-change-induced increases in precipitation and reductions in drought severity. This study’s findings contribute to a nuanced understanding of the interplay between environmental dynamics and socio-political stability in Darfur, offering actionable insights for policy interventions aimed at fostering sustainable peace and resilience in the region. Full article

Resource conflicts constitute a major global issue in areas rich in natural resources. The modeling of factors influencing natural resource conflicts (NRCs), including environmental, health, socio-economic, political, and legal aspects, presents a significant challenge compounded by inadequate data. Quantitative research frequently emphasizes large-scale conflicts. This study presents a novel multilevel approach, SEFLAME-CM—Spatially Explicit Fuzzy Logic-Adapted Model for Conflict Management—for advancing understanding of the relationship between NRCs and drivers under territorial and rebel-based typologies at a community level. SEFLAME-CM is hypothesized to yield a more robust positive correlation between the risk of NRCs and the interacting conflict drivers, provided that the conflict drivers and input variables remain the same. Local knowledge from stakeholders is integrated into spatial decision-making tools to advance sustainable peace initiatives. We compared our model with spatial multi-criteria evaluation for conflict management (SMCE-CM) and spatial statistics. The results from the Moran’s I scatter plots of the overall conflicts of the SEFLAME-CM and SMCE-CM models exhibit substantial values of 0.99 and 0.98, respectively. Territorial resource violence due to environmental drivers increases coast-wards, more than that stemming from rebellion. Weighing fuzzy rules and conflict drivers enables equal comparison. Environmental variables, including proximity to arable land, mangrove ecosystems, polluted water, and oil infrastructures are key factors in NRCs. Conversely, socio-economic and political factors seem to be of lesser importance, contradicting prior research conclusions. In Third World nations, local communities emphasize food security and access to environmental services over local political matters amid competition for resources. The synergistic integration of fuzzy logic analysis and community perception to address sustainable peace while simultaneously connecting environmental and socio-economic factors is SEFLAME-CM’s contribution. This underscores the importance of a holistic approach to resource conflicts in communities and the dissemination of knowledge among specialists and local stakeholders in the sustainable management of resource disputes. The findings can inform national policies and international efforts in addressing the intricate underlying challenges while emphasizing the knowledge and needs of impacted communities. SEFLAME-CM, with improvements, proficiently illustrates the capacity to model intricate real-world issues. Full article

The transition to renewable energy is crucial for combating climate change but faces challenges like local socio-environmental impacts and territorial conflicts. Scientific research on mapping renewable energy suitability areas and identifying socio-culturally and environmentally sensitive zones is essential to guide project siting appropriately. This study proposes a replicable methodology to analyze scenarios and compare alternatives for agrivoltaics plant siting, using the province of Viterbo, Italy, as a case study. The methodology employs spatial data, thematic maps, and multi-criteria analysis in open-source GIS software to identify suitable solar belts, map environmental sensitivity through 14 criteria, and assess visual sensitivity based on proximity to landscape elements. The resulting workflow and customizable QGIS models provide a comprehensive, transparent decision-support tool to optimize agrivoltaics deployment while minimizing impacts and enhancing acceptance. Mapping multi-factor sensitivity offers crucial insights for sustainable planning and design. The Viterbo case study illustrates the ‘conflict between green alternatives’ where renewable energy development potential clashes with environmental and landscape protection needs. The analysis reveals significant spatial variability in suitability and sensitivity among the province’s municipalities. The study highlights the importance of a nuanced approach to assessing suitability, moving beyond simple binary classification, and provides a tool adaptable to different regulations and contexts. Full article