Search Results (2,894)

Contemporary urban development imposes an increasingly pronounced need for aligned spatial transformations with the preservation of natural resources, adaptation to climate change, and the improvement of quality of life. In this context, the concept of green infrastructure has been recognized as an integrative framework that connects ecological processes with spatial and urban planning. However, the ways in which green infrastructure is strategically articulated and operationalized through planning processes vary depending on the institutional and spatial context. The aim of this paper is to identify the dominant strategic approaches to green infrastructure planning and to examine their implications for spatial and urban planning. The research is based on a qualitative comparative analysis of selected European green infrastructure strategies, while the Green Infrastructure Strategy of the City of Belgrade is considered as an analytical case study within the specific institutional and planning context of Serbia. The analysis focuses on three key components of strategic articulation—visions, objectives, and measures—in order to identify recurring patterns that shape the integration of green infrastructure into planning practice. The results indicate a high degree of convergence among strategic approaches, particularly regarding the emphasis on quality of life, ecosystem services, biodiversity conservation, and the strengthening of climate resilience. The identified patterns indicate the need for transformation of regulatory frameworks, the improvement of planning procedures and instruments, and the adoption of a spatial logic based on connectivity and multifunctionality. The analytical examination of the Belgrade Strategy shows that its structure of visions, objectives, and measures encompasses the key regulatory, procedural, and spatial prerequisites for incorporating green infrastructure into planning practice, and at the same time, its operationalization depends on institutional capacities, information systems, financial instruments, and mechanisms of intersectoral coordination. The paper concludes that green infrastructure strategies play an important role in mediating between public policies and spatial planning solutions, while their effectiveness depends on the alignment of regulatory, procedural, and spatial instruments. Full article

Digital transformation is reshaping the value creation and competitive logic of human resource service (HRS) firms, yet its antecedents are commonly examined as independent net effects. This study adopts an exploratory mixed-method design to identify and test configurational pathways to digital transformation. First, grounded theory analysis of interviews with 20 HRS firms in Beijing identified five antecedent conditions: digital technology application, digital strategic planning, firm social capital, the digital policy environment, and competitive intensity. Second, fuzzy-set qualitative comparative analysis (fsQCA) was applied to survey data from 97 firms. The analysis yielded five solution terms for high digital transformation and two configurations for non-high digital transformation. The five high-outcome solution terms were organized into three broader configurational patterns: technology–strategy synergy, technology-driven competition transformation, and strategy–ecosystem synergy. The non-high-outcome configurations reflected either weak digital foundations combined with ecosystem disengagement or relational-resource maintenance accompanied by transformation inertia. No single condition was necessary for either outcome, and the configurations associated with high and non-high digital transformation exhibited causal asymmetry. The findings show that digital transformation in HRS firms depends on the alignment of technological, organizational, and environmental conditions rather than on technology investment alone. Full article

Nature reserves (NRs) sustain biodiversity and multiple ecosystem services (ESs), yet assessments commonly stop at administrative boundaries and seldom examine how service relationships and associated factors vary across surrounding landscape gradients. We assessed carbon storage (CS), habitat quality (HQ), soil retention (SR), and water yield (WY) in 54 NRs in Jiangxi Province, China, and nested 5 and 10 km surrounding zones for 2000, 2010, and 2020. The InVEST model, a comprehensive ecosystem service index (CESI), correlation analysis, RMSE, and GeoDetector were used to characterize service dynamics, trade-offs/synergies, and spatial associations. CS and HQ increased slightly, whereas SR and WY rose until 2010 and subsequently declined. Mean CESI decreased outward from NR interiors (0.53) to the 5 km (0.50) and 10 km zones (0.49), although WY was higher outside NRs in 2020. CS–HQ and SR–WY were predominantly synergistic, while HQ–SR showed the strongest trade-off. Dominant associated factors and their interactions varied among services and spatial zones. These findings reveal context-dependent cross-boundary differentiation in ecosystem-service patterns, supporting coordinated management of NRs and their surrounding landscapes and service-specific conservation priorities. Full article

Xinjiang’s distinctive geography and climate provide important habitats for Falconidae species, yet their climate-driven habitat shifts and conservation gaps remain poorly understood. Using 2731 validated occurrence records and 26 environmental predictors, including bioclimatic, land-use, topographic, hydrological, anthropogenic, and Normalized Difference Vegetation Index (NDVI) predictors, we applied an optimized Maximum Entropy (MaxEnt) framework to project suitable habitats for seven falconid species under current conditions and three Shared Socioeconomic Pathway scenarios (1–2.6, 2–4.5, and 5–8.5) for 2041–2060, 2061–2080 and 2081–2100. Barycenter migration analysis, the Habitat Quality module of the Integrated Valuation of Ecosystem Services and Tradeoffs framework, and protected-area overlays were further integrated to identify conservation priorities. All models showed high discriminatory performance, with mean areas under the receiver operating characteristic curve exceeding 0.90. Current suitable habitats were mainly concentrated along river corridors and mountain foothills in the southern Altai, central-western Tianshan and northern Kunlun regions. Future responses were strongly species-specific. By 2081–2100 under Shared Socioeconomic Pathway 5–8.5, suitable habitat increased by 154.6% for Falco peregrinus and 79.5% for Falco tinnunculus but declined by 81.1% for Falco vespertinus; Falco subbuteo also showed overall expansion, with its suitable-habitat barycenter shifting by up to 291.9 km. Mean relative habitat quality was 0.514 [standard deviation = 0.185], while suitable habitat outside protected areas ranged from 35,346 to 304,866 km² among species, and high-quality priority conservation gaps reached 102,489 km² for Falco cherrug. These results demonstrate that climatic suitability does not necessarily correspond to high habitat quality or adequate protection and support species-specific, climate-adaptive conservation strategies for falconids in Xinjiang. Full article

Wool is often regarded as a low-value by-product of Alpine sheep farming, despite its potential to convey the ecosystem services (ESs) generated by these systems. This study examines how awareness and perception of these services are associated with consumer attitudes towards locally produced wool in the Lanzo Valleys in Northwestern Italy. A convenience sample of 400 adults familiar with the study area completed an online questionnaire. Principal Component Analysis identified two orientations towards wool products—Sustainability Orientation and Product-Value Orientation—which together explained 69.33% of the variance. A TwoStep Cluster Analysis based on the component scores identified four profiles within the study sample: Sustainability-sensitive (22%), Disinterested (14.25%), Eco-aesthetic (36%), and Aesthetically aware (27.75%). Sustainability-oriented respondents attributed greater importance to ES related to biodiversity, native-breed conservation and animal welfare, whereas aesthetic and experiential attributes represented an additional, distinct dimension of product evaluation. Residence status was not significantly associated with cluster membership. Given the non-probabilistic sampling design, these profiles should be interpreted as exploratory attitudinal patterns. The findings may inform differentiated communication and wool-valorisation strategies linking environmental, cultural, aesthetic and functional values. Full article

Cultural ecosystem service (CES) assessment is essential for comprehensively understanding and evaluating ecosystem services. Optimizing the spatial zoning of CESs can provide more targeted information for ecosystem management. By identifying the typical landscape characteristics of different CESs, rural landscape value can be more effectively recognized. This study constructed a set of rural landscape characteristics indicators, identified the typical characteristics of different CESs based on public preferences, mapped their spatial distributions using the Maxent model, and applied K-means clustering analysis to optimize the spatial zoning in rural Huzhou. The results show that the four CESs categories are associated with different rural landscape characteristics. The spatial distributions of the CESs showed substantial overlap and were mainly concentrated in southern Anji County, around the Moganshan Scenic Area, and along the shoreline of Lake Taihu. Five types of rural landscapes were identified based on spatial distribution of the CESs. This study provides a reference for identifying the landscape value of CESs in rural areas and supports the incorporation of CES assessment into rural landscape management decision-making. Full article

The core predicament of energy transition lies not in the availability of clean technologies, but in whether an economy possesses the institutional capacity and social foundation to systematically regulate its carbon-energy metabolic processes. Drawing upon co-evolutionary theory from evolutionary economics, this paper constructs a composite indicator of Low-Carbon Green Energy Eco-Co-evolution (LCEE) encompassing three functional dimensions: efficiency advancement, kinetic energy replacement, and boundary adherence. Concurrently, by integrating innovation ecosystem theory with inclusive development theory, we propose the concept of “Inclusive Potential of Regional Innovation Ecosystems” (IEP), characterizing the systemic potential for transforming innovation outcomes into social welfare across four dimensions: Knowledge Matrix Abundance (KMF), Cultural Capillary Permeation (CCP), Technological Community Succession (TCS), and Social Root Nourishment (SRN). Taking China’s 2016 intellectual property (IP) powerhouse construction pilot as the institutional prototype of Industrial Intellectual Property Upgrading Reform (IPR), we incorporate IPR, IEP, and LCEE into a unified causal analytical framework, proposing a testable transmission logic of ‘institutional supply → ecological development → co-evolutionary synergy. Using panel data from 30 Chinese provincial-level administrative regions over 2010–2022, we employ a Spatial Durbin Difference-in-Differences (SDM-DID) model to identify the direct and spatial spillover effects of IPR on LCEE, and embed a Double Machine Learning (DML) framework to test the mediating mechanism of IEP while controlling for high-dimensional nonlinear interference. The findings reveal that IPR exerts a significant and robust direct promoting effect on LCEE, generating positive spatial spillovers to neighboring regions through the public disclosure of patent information. IEP significantly promotes local LCEE, yet its spatial spillover lacks statistical support due to structural conflicts in inter-dimensional transmission attributes. IEP plays a significant partial mediating role between IPR and LCEE, with the indirect effect accounting for over one-third of the total effect, a finding robust to alternative machine learning algorithms, sample split adjustments, and exclusion of contemporaneous competing policies. Sub-path tests reveal that KMF bears the strongest mediating efficacy, serving as the primary transmission channel, while CCP exhibits full mediation—the institutional effect on LCEE in the cultural dimension depends almost entirely on the mediating transformation through the public cultural service system. Heterogeneity analysis further demonstrates full mediation in the Low-Carbon Green Energy Eco-Kinetic Replacement (KER) dimension, indicating that the institutional catalytic effect on clean energy substitution must be realized through IEP transformation. This paper provides empirical evidence for the proposed causal pathway through which institutional public goods indirectly enhance the synergistic quality of carbon-energy transition via the inclusive potential of innovation ecosystems, providing theoretical foundations and policy implications that, while grounded in China’s institutional context, may offer valuable reference points for emerging market economies facing similar dual pressures of technological constraints and green transition. Full article

Population growth is increasing food demand, while watershed food systems face intense pressure from land-use/land-cover (LULC) change. Therefore, this study aimed to identify the critical threshold for food sufficiency in the Cimanuk Watershed. The methods used include dynamic analysis and prediction of LULC changes in line with four scenarios using Support Vector Machine (SVM)–Markov model, ecosystem service-based food production modeling through Crop Production module in Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, food demand estimation based on population projections, and calculation of Food Sufficiency Index (FSI) to identify the critical threshold at which the food system shifts from surplus to deficit. The results showed that paddy rice production is projected to continue meeting food demand across all scenarios through 2042. However, food demand is expected to increase as the population grows, specifically in the Accelerated Population Growth (APGS) scenario. FSI analysis indicated that the Cimanuk Watershed remained in food surplus (FSI > 1) up to 2042. The watershed may transition to a food-deficit condition after 2062 in the absence of intervention measures. Therefore, this study recommends protecting productive paddy fields, conserving forests, and managing population growth to maintain long-term food sufficiency. Full article

Firms both influence natural systems and depend on the ecosystem services that support their ongoing production and operations. A higher degree of such dependence may strengthen firms’ motivation to pursue green technologies aimed at conserving resources, limiting pollution, and mitigating nature-related operational exposure. Drawing on a panel of Chinese A-share firms observed during 2010–2023, we examine how firm-level nature dependence relates to corporate green innovation. The empirical evidence indicates that firms with stronger dependence on nature exhibit greater green innovation activity. This finding remains stable when the key variables are measured differently and when an alternative sample period is considered. A policy shock analysis based on China’s Water Resource Tax Reform provides complementary evidence. Further analysis indicates that environmental investment accounts for part of the link between nature dependence and green innovation. Moreover, stronger local environmental regulation amplifies this relationship. Tests across different firm groups, together with formal interaction tests, show a stronger association among state-owned enterprises and firms in heavily polluting industries. The study therefore adds to prior research on corporate reliance on nature by demonstrating that reliance on ecosystem services can stimulate firms to undertake green technological adjustments. Full article

Urban green infrastructure (UGI) serves as a core pillar of sustainable urban development, delivering multiple benefits including urban heat island mitigation, stormwater regulation, and health promotion. However, allergenic pollen released by urban vegetation represents a typical ecosystem disservice, creating a prominent sustainability trade-off between greening benefits and residents’ allergy risk. For a long time, research in this field has evolved along two largely independent lines: vegetation allergenic hazard assessment and atmospheric pollen exposure analysis. Marked disconnections persist in indicator systems, spatial scales, and outcome translation, and an integrated spatial assessment framework remains lacking. Based on a systematic review of 127 publications from the Web of Science Core Collection (2000~2025) using framework synthesis methods, this study constructs a hazard–exposure–risk–planning (HERP) framework for the spatial assessment of allergenic pollen risk in UGI. This paper systematically synthesizes the core indicators, technical approaches and inherent limitations of each framework layer and identifies five key barriers: inconsistent indicator definitions, lack of cross-validation between surface vegetation and atmospheric pollen data, missing population vulnerability layer, insufficient multi-scale coupling, and weak translation of research into planning practice. The proposed framework provides a potential comparable and reproducible standardized pathway for cross-regional allergenic risk assessment and offers methodological support for healthy urban planning that balances ecosystem services and residents’ respiratory health. Full article

Scientific visualization is changing from passive observation to active, AI-assisted collaboration. While Extended Reality (XR) has proven valuable for comprehending dense 3D arrays, traditional VR applications are typically deployed in rigid, single-purpose, and monolithic architectures. In this paper, we present the evolution of ASCRIBE-XR: a virtual reality platform backed by remote computation that has been re-engineered into a dynamic, service-oriented ecosystem. We introduce three core innovations that make immersive data analysis easier, faster, and more flexible when using multimodal scientific imaging. First, a lightweight Python REST interface decouples XR logic from the rendering engine, enabling real-time, programmable scene customization and on-demand data generation. Second, we present a Specimen Catalog architecture that lets the platform pivot between radically different disciplines, ranging from archaeological heterogeneous concrete and fuel-cell membranes to the root system of a bioenergy grass, by describing each dataset through portable metadata rather than hard-coded application logic. Finally, we introduce a prompt-driven layer powered by the Claude Agent SDK, allowing researchers to generate, segment, and manipulate volumetric and mesh data through natural language dialogue within the virtual space. For example, applying foundation models such as the Segment Anything Model (SAM) to perform zero-shot segmentation on demand. By bridging human intent with remote computation, ASCRIBE-XR relaxes the constraints of conventional visualization tools, offering a highly adaptable, conversational platform for scientific discovery with human auditing. Full article

The increasing complexity of healthcare data ecosystems demands educational technologies capable of supporting data-intensive learning through advanced analytics, immersive interfaces, and learning analytics. This paper presents a cloud-based reference architecture and a prospective evaluation protocol for integrating Business Intelligence (BI), Extended Reality (XR), and learning analytics in health data science education. The proposed architecture is informed by a systematic literature review conducted according to the PRISMA 2020 guidelines, which screened 613 records retrieved from four databases and retained 56 studies for qualitative synthesis. The review indicates that, although BI and XR technologies have independently been associated with educational benefits, empirical evidence supporting integrated educational architectures combining BI, XR, and learning analytics remains limited, particularly in health data science education. Based on these findings, the paper specifies a layered reference architecture comprising a cloud analytics engine, an immersive visualization engine, an interoperability layer, and a learning analytics pipeline designed to support adaptive and AI-assisted educational services during subsequent implementation phases. The reference architecture is partially instantiated within the curricular unit Health Data Analysis and Visualization of the Digital Health programme at the Polytechnic University of Porto, where the BI and XR components are currently deployed and used within the course, while the interoperability middleware, learning analytics infrastructure, and AI-assisted services remain under development or are specified as architectural capabilities. To support future empirical validation, the paper also defines a comprehensive prospective evaluation protocol comprising predefined outcomes, established instruments with published psychometric properties, together with an expert-developed health data literacy assessment undergoing content validation, research hypotheses, power analysis, a statistical analysis plan, and ethical and data-governance provisions. The manuscript makes four principal research contributions: (i) a cloud-based reference architecture for BI–XR integration, (ii) a computational learning analytics pipeline specification, (iii) an interoperable system design for health data science education, and (iv) a prospective evaluation protocol to guide the future validation of the proposed reference architecture. Full article

Accurately understanding the complex interactions among ecosystem services (ESs) and their driving mechanisms across multiple temporal and spatial scales is essential for effective ecological governance and regional sustainable development. To address the limited simultaneous consideration of long-term dynamics, cross-scale differences, and nonlinear driver effects in previous ES studies, this study develops an integrated multi-temporal and multi-scale framework to reveal the spatiotemporal dynamics and scale-dependent patterns of ES interactions and bundles and further identify their key drivers and threshold effects. The InVEST model was used to quantify six categories of ESs, while their trade-offs/synergies and bundles were examined across the 2 km, 5 km, and 10 km grids and county scales from 1990 to 2020. The XGBoost–SHAP model was further employed to identify the key drivers of ESs and their associated thresholds at each spatial scale. The main conclusions are as follows: (1) Six ESs exhibited spatial heterogeneity and broadly consistent declining trends across different spatial scales. From 1990 to 2020, soil retention (SR) showed the largest decrease across the four spatial scales (14.56–14.57%), followed by water yield (WY; 11.20–11.29%) and food production (FP; 7.52%), while landscape aesthetics (LA) declined the least (1.36%). (2) Interaction patterns among ESs were broadly consistent across spatial scales. Synergies were mainly observed among habitat quality (HQ), SR, carbon storage (CS), and LA, with Spearman correlation coefficients generally ranging from 0.49 to 0.92 (mostly p < 0.001), whereas trade-offs were predominantly observed between FP and other ESs. (3) ES bundles varied across spatial scales, with 8, 6, 6, and 5 bundle types identified across the four spatial scales, respectively; however, within a given spatial scale, their spatial distributions remained relatively stable across the four study periods. Transitions among different bundle types were also observed. (4) The relative importance of driving factors varied substantially among ESs, time periods, and spatial scales. The areal proportions of different landscape types were the primary drivers of habitat quality, carbon storage, food production, and landscape aesthetics, whereas soil retention and water yield were mainly influenced by biophysical indicators. The major drivers consistently exhibited relatively stable threshold effects across different temporal and spatial contexts. These findings deepen the understanding of multiscale interactions among ESs and their driving mechanisms and provide a scientific basis and decision-making support for the sustainable development of China’s coastal cities and other coastal regions worldwide. Full article

Digital innovation platform ecosystems can scale rapidly without becoming durable because broad participation does not ensure sustained value circulation. Existing models homogenize complementors, obscuring horizontal coopetition among distinct groups and its interaction with vertical governance. We examine how vertical and horizontal relations shape value-flow architecture and sustainability. Drawing on ecological symbiosis theory, we distinguish a platform orchestrator, technology-extending complementors, and service-integrating complementors. We construct an extended three-actor Lotka–Volterra model and use the Global Value-Flow Symmetry (GV) index and the continuous directional indicator ${\delta }_c$ to assess symmetry and direction. Designed for theory building rather than empirical calibration or testing, the analysis uses no empirical data and compares 35 vertical–horizontal configurations through deterministic simulation and sensitivity analysis. Results show the following: (1) Greater symmetry is associated with higher aggregate maintained output, but vertical backflow direction shapes its distribution; $\mathrm{G}\mathrm{V}$ must therefore be interpreted with ${\delta }_c$. (2) Under complementor-favoring vertical parasitism, horizontal mutualism expands complementor output but intensifies negative vertical backflow, simultaneously increasing aggregate output and reducing platform equilibrium—a cooperation paradox. (3) The same horizontal mutualism yields three focal outcomes across the examined vertical structures: Negative complementor-to-platform effects produce the cooperation paradox, absent effects produce value decoupling, and mutually positive vertical exchange produces systemic resonance. Thus, horizontal cooperation does not necessarily enhance sustainability; its effect depends on whether complementor gains feed back to support platform capability. This study advances platform-ecosystem sustainability research and offers theoretical guidance for optimizing value backflow and cooperative governance. Full article

Urban green spaces provide essential ecosystem services, yet national-scale economic assessments remain scarce in rapidly urbanizing countries. Here, we quantify the ecosystem service value (ESV) of China’s urban green spaces from 1996 to 2024 using national statistical data and eight key indicators: water conservation, carbon sequestration, oxygen release, dust retention, biodiversity protection, nitrogen oxide absorption, cooling effects, and leisure recreation. Valuation follows Costanza et al. and the Millennium Ecosystem Assessment. We apply the full permutation polygon graphic method (FPPGM) to derive a comprehensive service index and the Eco-Economic Harmony (EEH) index to assess ecological–economic coordination. Total ESV increased from 57.18 billion to 569.01 billion yuan, at an average annual rate of 8.55%. Cooling effects, biodiversity protection, and water conservation ranked as the top three services. The comprehensive service index improved continuously, with national sustainable development capacity progressing from Level 4 (Low) in 1996–2002 to Level 1 (High) in 2013–2024. The 2024 EEH index of 0.87 indicates moderate-to-high eco-economic coordination. Despite substantial ESV growth, urban economic expansion continues to outpace ecological gains. Strengthening legal protections for urban green spaces is critical. This study provides a transferable framework for assessing urban green infrastructure across developing countries. Full article