Search Results (316)

Rural areas are currently facing a deepening “social-ecological divide,” where the fragmentation of natural, economic, and cultural data—often trapped in “data silos”—hinders effective systemic governance. To bridge this gap, in this study, the Rural Landscape Information Model (RLIM), an integrative framework designed to reconfigure rural connections through data fusion, process coordination, and performance feedback, is proposed. We validate the framework’s effectiveness through a comparative analysis of two distinct rural archetypes in China: the innovation-driven Yu Village and the heritage-conservation-oriented Hani Terraces. Our results reveal that digital technologies drive distinct empowerment pathways moderated by regional contexts: (1) In the data domain, heterogeneous resources were successfully integrated into the framework in both cases (achieving a Monitoring Coverage > 80%), yet served divergent strategic ends—comprehensive territorial management in Yu Village versus precision heritage monitoring in the Hani Terraces. (2) In the process domain, digital platforms restructured social interactions differently. Yu Village achieved high individual participation (Participation Rate ≈ 0.85) via mobile governance apps, whereas the Hani Terraces relied on cooperative-mediated engagement to bridge the digital divide for elderly farmers. (3) In the performance domain, the interventions yielded contrasting but positive economic-ecological outcomes. Yu Village realized a 25% growth in tourism revenue through “industrial transformation” (Ecology+), while the Hani Terraces achieved a 12% value enhancement by stabilizing traditional agricultural ecosystems (Culture+). This study contributes a verifiable theoretical model and a set of operational tools, demonstrating that digital technologies are not merely instrumental add-ons but catalysts for fostering resilient, collaborative, and context-specific rural socio-ecological systems, ultimately offering scalable governance strategies for sustainable rural revitalization in the digital era. Full article

Oil palm (Elaeis guineensis), a rapidly expanding crop in northeastern Pará, first emerged in the 1970s as a crucial response to the global oil crisis. However, its swift expansion has subsequently generated significant socio-environmental conflicts, profoundly altering local socioecological dynamics. Therefore, we aimed to investigate land-use and land-cover changes within the headwater sub-basin of the Caeté River, focusing specifically on the municipality of Bonito, Pará. To achieve this, we employed remote sensing and geospatial analysis to accurately delineate the study area and perform supervised classifications. Specifically, we used the Random Forest algorithm to map five distinct periods: 1985, 1995, 2004, 2015, and 2023. In addition, we calculate an Anthropogenic Transformation Index (ATI) in order to observe the human influence in the landscape. Our classification models exhibited high accuracy, with overall accuracy values ranging from 0.63 to 0.87 and Kappa coefficients between 0.53 and 0.76, demonstrating consistent discrimination among LULC classes. The results revealed a marked transformation of the landscape, with oil palm monocultures progressively expanding at the expense of dense forest and human-modified vegetation. For instance, the ATI increased from 3.14 in 1985 to 5.56 in 2004, followed by a slight decline to 4.90 in 2023, suggesting a potential stabilisation—but not a reversal—of anthropogenic pressures. Nonetheless, the negative socioecological impacts of the oil palm monocultures in this Amazonian landscape remain severe, encompassing issues such as water pollution and ongoing socio-environmental conflicts. In conclusion, this research highlights the importance of understanding these dynamics to support sustainable management of the Caeté River basin. Furthermore, we underscore the urgent need for further research to rigorously evaluate effective mitigation strategies and foster genuinely sustainable development within the region. Full article

In recent years, guided by the sustainable development strategy and ecological civilization strategy, the concept of green environmental protection has gradually become popular. Increasingly, enterprises are enhancing their environmental investment practices after recognizing the importance of environmental protection. From the perspective of enterprise groups, improving the environmental investment efficiency of enterprises is of great significance for boosting sustainable development and optimizing resource allocation. Based on a research sample of listed companies in China’s heavy pollution industry from 2003 to 2020, this paper theoretically analyzes the impact of enterprise groups on environmental investment efficiency and the corresponding influence mechanisms. This paper finds that enterprise groups play a significantly positive role in promoting environmental investment efficiency. Further research indicates that this improvement primarily stems from two key aspects: On the one hand, the capital market within the enterprise group effectively alleviates the financing constraints in environmental investment. On the other hand, environmental investment efficiency is improved by optimizing innovation resources. In addition, the study identified two important moderating factors: firm executive characteristics and the degree of regional environmental regulation. This research enriches the existing research results regarding organizational management theory and the environmental investment efficiency of enterprises and provides theoretical and empirical references for promoting sustainable socio-economic development and the green transformation of enterprises. Full article

Food systems operate as socio-ecological systems (SES) in which governance, markets, and biophysical constraints interact through feedback. However, how resilience capacities accumulate across sequential shocks, particularly in hyper-arid, import-dependent rentier states, remains under-traced. We analyze Qatar’s food-system SES across three distinct stress tests: the 2017–2021 blockade, the COVID-19 pandemic (multi-node logistics and labor shock), and the post-2022 Russia–Ukraine war (global price and agricultural input-cost shock). Using a qualitative longitudinal case-study design, we combine documentary review with process tracing and a two-layer coding scheme that maps interventions to SES components (actors, governance system, resource systems/units, interactions, outcomes/feedback) and to predominant resilience capacities (absorptive, adaptive, transformative). The results indicate path-dependent capability building: the blockade activated rapid buffering and rerouting alongside early adaptive investments; COVID-19 accelerated adaptive reconfiguration via digitized logistics, e-commerce scaling, and targeted controlled-environment agriculture; and the Russia–Ukraine shock validated an institutionalized portfolio (fiscal buffering, reserves, procurement diversification, and upstream linkages). Across episodes, supply continuity was maintained, but resilience gains also generated water–energy–food tradeoffs, shifting pressures toward energy-intensive cooling/desalination and upstream water demands linked to domestic buffers. We conclude that durable resilience in eco-constrained, import-dependent systems requires explicit governance of these tradeoffs through measurable performance criteria, rather than crisis-driven expansion alone. Full article

An effective response to the socio-environmental crisis requires the education of critical citizens, capable of articulating local action with collective socio-political engagement. Teachers occupy a central position in educating for Environmental Citizenship (EC), yet in-service professional development models in this area remain scarce. Within a Design-Based Research framework, this article discusses the expert evaluation of a training prototype. 32 experts—comprising EC researchers, TPD researchers, and specialist teachers—responded to a qualitative questionnaire regarding the model’s design. Data underwent inductive content analysis, with categories emerging directly from the responses. While results strongly validate the prototype’s structure, crucial recommendations emerged for its improvement. Pedagogically, experts suggested focusing on structuring methodologies like Problem-Based Learning and Case Studies to avoid fragmentation. Conceptually, they highlighted the need to deepen critical theoretical foundations and incorporate explicit training in activism and communication skills, enriched by ethical considerations. These findings inform the redesign of a model whose implementation aims to reduce the gap between ecological awareness and transformative civic action, preparing teachers to foster genuine agency in their students. Full article

To achieve a scientific evaluation of land ecological resilience in mining areas and promote the green transformation and sustainable development of the mining industry, this study is based on the core concept of Nature-based Solutions (NbS), coupling the “Driving force–Pressure–State–Impact–Response” (DPSIR) framework, and constructs an evaluation system for mine land ecological resilience (MLER) focusing on sustainability. This system covers multiple aspects, including natural ecology, socio-economics, and policy management, comprising 21 secondary indicators that comprehensively respond to NbS’ fundamental principles of “nature-guided, multi-party collaboration, and long-term adaptation.” In terms of evaluation methodology, this study proposes a combined weighting model that integrates AHP-CRITIC game theory with Vague sets. First, subjective expert experience and objective data variance are balanced through combined weighting. Based on game theory, the optimal combination coefficients were determined (α₁ = 0.624, α₂ = 0.376) to reconcile subjective and objective preferences. Subsequently, the three-dimensional interval structure of Vague sets is utilized to effectively accommodate fuzzy information and data gaps. By characterizing the restoration process through interval membership, the model enhances the representational capacity of the evaluation results regarding complex ecological information. Empirical research conducted in the mining areas of Gan Xian, Xing Guo, Yu Du, and Xun Wu in Jiangxi Province effectively identified differences in resilience levels: the resilience of the Xing Guo mining area was classified as I, Gan Xian and Yu Du as II, and Xun Wu as IV. These results are fundamentally consistent with the AHP-Fuzzy Comprehensive Evaluation method, verifying the robustness and reliability of the model. The NbS-guided evaluation system and model constructed in this study provide scientific tools for identifying differences in the sustainability of MLER and key constraints, promoting the transformation of restoration models from “engineering-driven” to “nature-driven, long-term adaptation” in the context of NbS in China. Full article

Post-industrial landscapes represent one of the most complex challenges for contemporary sustainable land management, as they combine environmental degradation, cultural heritage, and socio-economic restructuring. This study examines five representative post-industrial sites within the Dąbrowa Basin (southern Poland), selected from an initial pool of 20 locations to capture the full diversity of contemporary transformation pathways. The research integrates multi-temporal satellite imagery (1999–2025), historical maps (1936, 1965), extensive field surveys, and a systematic review of literature and regional press to assess environmental, functional, and cultural dimensions of landscape change. The results reveal four distinct transformation trajectories: hydrological reclamation, heritage-led revitalization, passive ecological succession, economic redevelopment, and one additional case of unmanaged degradation. Hydrological and cultural revitalization produced the most sustainable outcomes, characterized by high environmental stability, strong public accessibility, and preserved industrial identity. Natural succession created ecologically valuable but functionally limited spaces, while commercial redevelopment ensured economic stability at the cost of industrial memory. Sites lacking coordinated revitalization remain unsafe, inaccessible, and environmentally unstable. The study demonstrates that post-industrial transformation is strongly influenced by municipal engagement, land ownership, historical legacy, and the interaction between natural and engineered processes. These findings contribute to the international discourse on sustainable post-industrial redevelopment and highlight the need for integrated, cross-sectoral strategies supporting multifunctional, resilient landscapes in Central Europe. Full article

Understanding how land tenure and socio-economic pressures shape landscape transformation is critical for sustainable management in biodiversity-rich regions. This study examines three decades (1987–2017) of land use and land cover (LU&LC) change in the Ngerenyi area of the Taita Hills, Kenya, by integrating multispectral Landsat analysis with household survey data. Harmonized pre-processing and supervised classification of four LU&LC classes, agriculture, built-up areas, high-canopy vegetation, and low-canopy vegetation, achieved overall accuracies above 80% and Kappa values exceeding 0.75. Transition modeling using the Minimum Information Loss Transition Estimation (MILTE) approach, combined with net-versus-swap metrics, revealed persistent decline and fragmentation of high-canopy vegetation, cyclical transitions between agriculture and low-canopy vegetation, and the near-irreversible expansion of built-up areas. Low-canopy vegetation exhibited the highest dynamism, reflecting both degradation from canopy loss and natural regeneration from fallowed cropland. Household surveys (n = 141) identified agricultural expansion, charcoal production, fuelwood extraction, and population growth as the dominant perceived drivers, with significant variation across tenure categories. The population in Taita Taveta County increased from 205,334 in 2009 to 340,671 in 2019, reinforcing documented pressures on land resources and woody biomass. As part of the Eastern Arc biodiversity hotspot, the landscape’s diminishing high-canopy patches underscore the importance of conserving undisturbed vegetation remnants as ecological baselines and biodiversity refuges. The findings highlight the need for tenure-sensitive, landscape-scale planning that integrates private landowners, regulates subdivision, promotes agroforestry and alternative energy options, and safeguards remaining high-canopy vegetation to enhance ecological resilience while supporting local livelihoods. Full article

Extractive regions are among the most visible frontlines of the Anthropocene as they are areas where the environmental and social consequences of intensive resource exploitation are concentrated. In Serbia, mining areas such as Bor and Majdanpek represent complex socio-spatial assemblages in which everyday life, work, and governance intersect under pressures of neoliberal development and ecological degradation. This study aims to identify the challenges and opportunities for citizen participation in mining regions, providing guidance on enhancing participatory processes in decision-making. To operationalise this aim, the study pursues three objectives: (1) to assess residents’ awareness, participation practices, access to information, and motivation to engage in planning; (2) to identify perceived barriers and opportunities for participation; and (3) to formulate recommendations for improving participatory and communication processes in extractive-region governance. Accordingly, the research is guided by the main question: How do residents of the Bor–Majdanpek mining region perceive opportunities and barriers to public participation in planning and decision-making processes? To address this question, a face-to-face field survey was conducted in the summer of 2024 with a random sample of residents (N = 300). In this mixed-methods exploratory study, primary survey data were analysed using descriptive and inferential statistical methods. In contrast, open-ended questions were analysed qualitatively to capture respondents’ detailed perceptions and suggestions. Findings indicate limited awareness of planning procedures, low participation experience, and structural barriers related to information access, trust, and institutional responsiveness. At the same time, respondents show a strong interest in more transparent, accessible, and dialogic forms of engagement. This study demonstrates that citizen participation in extractive landscapes is not only a procedural requirement but a mechanism to strengthen democratic governance and rebuild trust. Insights from Bor–Majdanpek provide an evidence base for improving participatory practices in mining regions undergoing socio-environmental transformation. Full article

Vulnerabilities in local food systems revealed by the COVID-19 pandemic were especially evident in highly tourism-dependent islands. This underscores the crucial role of agriculture in ensuring socio-ecological resilience, food security, and livelihood options in these contexts. Yet despite renewed policy attention, sustaining local farming in remote island settings continues to face numerous challenges. Amid growing recognition of the ways in which collective imagination shapes (and constrains) sustainability transformations, this paper applies the conceptual lens of imaginaries to examine agricultural futures in the Galápagos Islands and to explore the question of why agriculture remains marginal, despite widespread acknowledgement that supporting sustainable farming is central to the archipelago’s long-term sustainability. Through reflexive thematic analysis of policy documents, grey literature, and semi-structured interviews, the paper shows how imaginative spaces of possibility around food futures in Galápagos are conditioned by the powerful entanglement of hegemonic conservationist imaginaries with touristic imaginaries of an uninhabited wilderness. Within this contested terrain, five overlapping and co-constituting imaginaries of agriculture are distinguished, oriented variously around conservation priorities, technocratic planning, entrepreneurial growth, traditional livelihoods, and agroecological transformation. The analysis highlights how these imaginaries mobilize contrasting logics of support and mechanisms of change and illustrates how they complicate simplistic binaries, for example, between pristine and human-managed ecosystems, or between technological and holistic approaches to farming. The paper underscores the importance of paying critical attention to imaginaries of agriculture in order to navigate pathways toward more sustainable and resilient food systems in ecologically fragile island contexts. Full article

Due to its significant environmental impact, the built environment faces growing pressure to transition toward more sustainable practices. Biomimicry, a novel field of practice that entails design and innovation inspired by nature’s time-tested strategies, offers a promising pathway to enhance sustainability in the construction industry. Hence, this study examines the perceived benefits of applying biomimicry principles in the construction sector, aiming to identify the key dimensions that underpin its transformative potential. An exploratory factor analysis (EFA) was conducted using data collected through a structured questionnaire survey, which contained 18 indicators derived from a targeted literature synthesis. The questionnaire was administered to 120 purposively sampled, duly registered, practising construction and biomimicry professionals in South Africa. The instrument captured perceptions of the environmental, economic, and socio-functional benefits of adopting and implementing biomimicry. The EFA revealed four principal factors: socio-economic and health, ecological resilience, performance enhancement and green market efficiency. These four factors cumulatively accounted for approximately 70% of the total variance, indicating a strong internal structure of perceived benefits. The findings demonstrate that stakeholders perceive biomimicry as a tool for reducing environmental footprints and as a catalyst for innovation, circularity, and regenerative design practices in the built environment. This research contributes to the emerging discourse on biomimicry in the built environment by providing empirical evidence on its multifaceted value. It highlights the importance of integrating natural design intelligence into construction to foster more adaptive, efficient, resilient and sustainable systems. The paper recommends policy support, interdisciplinary collaboration, and further research to operationalise biomimicry within mainstream construction processes. Full article

The findings of this Systematic Review suggest that Green Social Work (GSW) is gaining momentum as a framework that integrates environmental sustainability with social and relational justice. In the context of climate emergencies and deepening socio-environmental inequalities, GSW proposes a transformative vision for professional practice and highlights the need to rethink the role of social work in addressing ecological challenges. This article presents a systematic review of academic literature aimed at analyzing the conceptual development, areas of application, and methodological characteristics of GSW. Fifteen peer-reviewed articles were selected through a structured search in five international databases, applying inclusion criteria that required explicit reference to the GSW framework. The review examines how GSW has been implemented in practice, education, community intervention, and policy design. The findings point to emerging patterns in the application of GSW across contexts of environmental vulnerability, such as disaster recovery, rural development, and climate justice, as well as its incorporation into professional training and ethical codes. However, the review also reveals the absence of shared operational definitions and the predominance of qualitative, exploratory studies with limited generalizability. Overall, GSW offers a valuable pathway for strengthening the contribution of social work to ecological and social challenges. Its integration into education, research, and policy can enhance professional responses to complex crises, although clearer operational frameworks and more robust empirical studies are needed to consolidate GSW as a key tool for socio-environmental transformation. Full article

Coastal ecosystems are among the most biodiverse and economically valuable environments on Earth, yet they face escalating threats from climate change, development, and resource exploitation. Traditional conservation approaches have proven insufficient to address the systemic drivers of biodiversity loss, calling for transformative change that fundamentally reconfigures social–ecological systems. This semi-structured systematic literature review synthesizes current knowledge on transformative change in coastal biodiversity conservation, guided by the Social–Ecological Systems Framework (SESF) and expanded to include behavioral transformation as a central dimension. Behavioral transformation is defined as the sustained embedding of new attitudes, norms, and practices within governance, institutional, and community settings. Through a comprehensive review of academic databases (SCOPUS, Web of Science, CAB Abstracts) and gray literature, 134 studies published between 2010 and 2024 were analyzed. The synthesis identifies four interdependent pathways of transformation: (1) governance innovation and power redistribution, (2) behavioral change and stakeholder engagement, (3) socio-ecological restructuring, and (4) normative and cultural shifts in human–nature relations. Successful initiatives integrate trust-building, social justice, and participatory decision-making, linking behavioral change with institutional redesign and adaptive management. However, critical gaps remain in understanding long-term durability, equity outcomes, and scalability across governance levels. The review proposes three research priorities: (1) embedding behavioral science in conservation design, (2) employing longitudinal and cross-scale analyses, and (3) advancing adaptive, learning-based governance to enhance socio-ecological resilience. Full article

Monitoring land use and land cover (LULC) transformations is essential for understanding socio-ecological dynamics. This study assesses structural shifts in Romania’s landscapes between 1990 and 2018 by integrating algorithmic complexity, fractal analysis, and Grey-Level Co-occurrence Matrix (GLCM) texture analysis. Multi-year maps were used to compute Kolmogorov complexity, fractal measures, and 15 GLCM metrics. The measures were compiled into a unified matrix, and temporal trajectories were explored with principal component analysis and k-means clustering to identify inflection points. Informational complexity and Higuchi 2D decline over time, while homogeneity and angular second moment rise, indicating greater local uniformity. A structural transition around 2006 separates an early heterogeneous regime from a more ordered state; 2012 appears as a turning point when several indices reach extreme values. Strong correlations between fractal and texture measures imply that geometric and radiometric complexity co-evolve, whereas large-scale fractal dimensions remain nearly stable. The multi-index approach provides a replicable framework for identifying critical transitions in LULC. It can support landscape monitoring, and future work should integrate finer temporal data and socio-economic drivers. Full article

Inclusive sports and recreational programs are essential for enhancing the physical, social, and psychological well-being of learners with disabilities. In South Africa (SA), and particularly in rural provinces such as Limpopo, the development of such programs remains limited due to infrastructural, socio-economic, and attitudinal barriers. This study explored the barriers and facilitators influencing inclusive sports and recreational opportunities, as well as their impact on the well-being of learners with disabilities in rural Limpopo. A qualitative study design was employed in selected rural special schools. Data were collected through semi-structured interviews with educators (n = 5) and focus group discussions with leaners with disabilities (n = 25) of ages ranging from 10 to 18 years using purposive sampling. Thematic analysis was guided by the Social Model of Disability, Self-Determination Theory, and Ecological Systems Theory. Findings revealed key barriers, including inaccessible infrastructure, a lack of adaptive equipment, and social exclusion. Educators further highlighted inadequate training, limited resources, and inconsistent policy implementation. Facilitators included teacher support, family involvement, and community initiatives. Participation in inclusive sports was associated with improved confidence, happiness, social skills, and belonging among learners. The study concludes that inclusive sports programs hold transformative potential in rural contexts. Addressing infrastructural gaps, teacher capacity community engagement policy implementation is critical for sustainable inclusion. Full article