Journal Description
Sustainability
Sustainability
is an international, peer-reviewed, open-access journal on environmental, cultural, economic, and social sustainability of human beings, published semimonthly online by MDPI. The Canadian Urban Transit Research & Innovation Consortium (CUTRIC), International Council for Research and Innovation in Building and Construction (CIB) and Urban Land Institute (ULI) are affiliated with Sustainability and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE and SSCI (Web of Science), GEOBASE, GeoRef, Inspec, RePEc, CAPlus / SciFinder, and other databases.
- Journal Rank: JCR - Q2 (Environmental Studies) / CiteScore - Q1 (Geography, Planning and Development)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 19.3 days after submission; acceptance to publication is undertaken in 3.4 days (median values for papers published in this journal in the first half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Testimonials: See what our editors and authors say about Sustainability.
- Companion journals for Sustainability include: World, Sustainable Chemistry, Conservation, Future Transportation, Architecture, Standards, Merits, Bioresources and Bioproducts and Accounting and Auditing.
Impact Factor:
3.3 (2024);
5-Year Impact Factor:
3.6 (2024)
Latest Articles
Spatiotemporal Dynamics of Rocky Desertification in the Danjiangkou Reservoir, China
Sustainability 2025, 17(21), 9748; https://doi.org/10.3390/su17219748 (registering DOI) - 31 Oct 2025
Abstract
Rocky desertification in the Danjiangkou Reservoir area, the core water source of the South-to-North Water Diversion Project, constitutes a significant ecological threat, primarily driven by historical deforestation and agricultural expansion. To addressing the previous lack of comprehensive evaluation and spatiotemporal analysis of rocky
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Rocky desertification in the Danjiangkou Reservoir area, the core water source of the South-to-North Water Diversion Project, constitutes a significant ecological threat, primarily driven by historical deforestation and agricultural expansion. To addressing the previous lack of comprehensive evaluation and spatiotemporal analysis of rocky desertification in the Danjiangkou Reservoir area, this study utilized Google Earth Engine (GEE) and GeoDetector to analyze its evolution and driving factors from 1995 to 2022. The results indicated an overall improvement, with a 1002.02 km2 decrease in the desertification-prone area and an expansion of 26,077.31 km2 in the non-desertified area. However, desertification remains severe in the western and southeastern regions, while the northeastern and central areas showed relative stability. Notably, desertified areas decreased substantially between 1995 and 2022, reflecting the effectiveness of ecological restoration efforts. Key driving factors include potential evapotranspiration (PET), landform, elevation, and temperature, with interactions between PET and environmental variables exhibiting strong explanatory power. These findings highlight the complex interplay between natural and anthropogenic factors in desertification dynamics. Continuing human intervention is essential to restore vegetation, mitigate soil erosion risks, and ensure the long-term stability of the reservoir’s water resources.
Full article
Open AccessArticle
Research on a Short-Term Electric Load Forecasting Model Based on Improved BWO-Optimized Dilated BiGRU
by
Ziang Peng, Haotong Han and Jun Ma
Sustainability 2025, 17(21), 9746; https://doi.org/10.3390/su17219746 (registering DOI) - 31 Oct 2025
Abstract
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In the context of global efforts toward energy conservation and emission reduction, accurate short-term electric load forecasting plays a crucial role in improving energy efficiency, enabling low-carbon dispatching, and supporting sustainable power system operations. To address the growing demand for accuracy and stability
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In the context of global efforts toward energy conservation and emission reduction, accurate short-term electric load forecasting plays a crucial role in improving energy efficiency, enabling low-carbon dispatching, and supporting sustainable power system operations. To address the growing demand for accuracy and stability in this domain, this paper proposes a novel prediction model tailored for power systems. The proposed method combines Spearman correlation analysis with modal decomposition techniques to compress redundant features while preserving key information, resulting in more informative and cleaner input representations. In terms of model architecture, this study integrates Bidirectional Gated Recurrent Units (BiGRUs) with dilated convolution. This design improves the model’s capacity to capture long-range dependencies and complex relationships. For parameter optimization, an Improved Beluga Whale Optimization (IBWO) algorithm is introduced, incorporating dynamic population initialization, adaptive Lévy flight mechanisms, and refined convergence procedures to enhance search efficiency and robustness. Experiments on real-world datasets demonstrate that the proposed model achieves excellent forecasting performance (RMSE = 26.1706, MAE = 18.5462, R2 = 0.9812), combining high predictive accuracy with strong generalization. These advancements contribute to more efficient energy scheduling and reduced environmental impact, making the model well-suited for intelligent and sustainable load forecasting applications in environmentally conscious power systems.
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Open AccessArticle
Integrating UAV LiDAR and Multispectral Data for Aboveground Biomass Estimation in High-Andean Pastures of Northeastern Peru
by
Angel J. Medina-Medina, Samuel Pizarro, Katerin M. Tuesta-Trauco, Jhon A. Zabaleta-Santisteban, Abner S. Rivera-Fernandez, Jhonsy O. Silva-López, Rolando Salas López, Renzo E. Terrones Murga, José A. Sánchez-Vega, Teodoro B. Silva-Melendez, Manuel Oliva-Cruz, Elgar Barboza and Alexander Cotrina-Sanchez
Sustainability 2025, 17(21), 9745; https://doi.org/10.3390/su17219745 (registering DOI) - 31 Oct 2025
Abstract
Accurate estimation of aboveground biomass (AGB) is essential for monitoring forage availability and guiding sustainable management in high-altitude pastures, where grazing sustains livelihoods but also drives ecological degradation. Although remote sensing has advanced biomass modeling in rangelands, applications in Andean–Amazonian ecosystems remain limited,
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Accurate estimation of aboveground biomass (AGB) is essential for monitoring forage availability and guiding sustainable management in high-altitude pastures, where grazing sustains livelihoods but also drives ecological degradation. Although remote sensing has advanced biomass modeling in rangelands, applications in Andean–Amazonian ecosystems remain limited, particularly using UAV-based structural and spectral data. This study evaluated the potential of UAV LiDAR and multispectral imagery to estimate fresh and dry AGB in ryegrass (Lolium multiflorum Lam.) pastures of Amazonas, Peru. Field data were collected from subplots within 13 plots across two sites (Atuen and Molinopampa) and modeled using Random Forest (RF), Support Vector Machines, and Elastic Net. AGB maps were generated at 0.2 m and 1 m resolutions. Results revealed clear site- and month-specific contrasts, with Atuen yielding higher AGB than Molinopampa, linked to differences in climate, topography, and grazing intensity. RF achieved the best accuracy, with chlorophyll-sensitive indices dominating fresh biomass estimation, while LiDAR-derived height metrics contributed more to dry biomass prediction. Predicted maps captured grazing-induced heterogeneity at fine scales, while aggregated products retained broader gradients. Overall, this study shows the feasibility of UAV-based multi-sensor integration for biomass monitoring and supports adaptive grazing strategies for sustainable management in Andean–Amazonian ecosystems.
Full article
(This article belongs to the Section Environmental Sustainability and Applications)
Open AccessArticle
Comparative Analysis of MCDI and Circulation-MCDI Performance Under Symmetric and Asymmetric Cycle Modes at Pilot Scale
by
Changseog Oh, Hyun Je Oh, Seungjae Yeon, Bokjin Lee and Jusuk An
Sustainability 2025, 17(21), 9744; https://doi.org/10.3390/su17219744 (registering DOI) - 31 Oct 2025
Abstract
This study compares the operational performance of membrane capacitive deionization (MCDI) and circulation-MCDI (C-MCDI) under symmetric (2/2, 3/3, 4/4 min) and asymmetric (5/2, 5/3, 5/4 min) adsorption/desorption cycles to identify efficient operating conditions at the pilot scale. A pilot system was tested with
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This study compares the operational performance of membrane capacitive deionization (MCDI) and circulation-MCDI (C-MCDI) under symmetric (2/2, 3/3, 4/4 min) and asymmetric (5/2, 5/3, 5/4 min) adsorption/desorption cycles to identify efficient operating conditions at the pilot scale. A pilot system was tested with a NaCl solution of about 1000 mg/L, and 15 consecutive cycles were conducted to evaluate removal efficiency, specific energy consumption (SEC), and stability. MCDI consistently achieved over 90% removal efficiency with SEC below 0.6 kWh/m3 across all modes, maintaining stable performance over 15 cycles. The 2/2 condition provided the shortest cycle time and the highest treated water productivity, making it the most efficient condition for the pilot-scale MCDI tested. C-MCDI showed stronger dependence on operating conditions, with the number of stable cycles ranging from 3 to 7 depending on desorption duration. Nevertheless, the 5/2 condition achieved about 91% removal efficiency with 0.58 kWh/m3 SEC, and its extended adsorption period yielded about 2.5 times more treated water per cycle than the 2/2 case. Overall, this work provides a comparative pilot-scale evaluation of MCDI and C-MCDI, highlighting their advantages, limitations, and potential applications, and offering practical insights for energy-efficient and sustainable desalination strategies.
Full article
(This article belongs to the Section Environmental Sustainability and Applications)
Open AccessArticle
Digital Economy, Spatial Imbalance, and Coordinated Growth: Evidence from Urban Agglomerations in the Middle and Lower Reaches of the Yellow River Basin
by
Yuan Li, Bin Xu, Yuxuan Wan, Yan Li and Hui Li
Sustainability 2025, 17(21), 9743; https://doi.org/10.3390/su17219743 (registering DOI) - 31 Oct 2025
Abstract
Amid the rapid evolution of the digital economy reshaping global competitiveness, China has advanced regional coordination through the Digital China initiative and the “Data Elements ×” Three-Year Action Plan (2024–2026). To further integrate digital transformation with high-quality growth in the urban agglomerations of
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Amid the rapid evolution of the digital economy reshaping global competitiveness, China has advanced regional coordination through the Digital China initiative and the “Data Elements ×” Three-Year Action Plan (2024–2026). To further integrate digital transformation with high-quality growth in the urban agglomerations of the middle and lower Yellow River, this study aims to strengthen regional competitiveness, expand digital industries, foster new productivity, refine the development pathway, and safeguard balanced economic, social, and ecological progress. Taking the Yellow River urban clusters as the research object, a comprehensive assessment framework encompassing seven subsystems is established. By employing a mixed-weighting approach, entropy-based TOPSIS, hotspot analysis, coupling coordination models, spatial gravity shift techniques, and grey relational methods, this study investigates the spatiotemporal dynamics between the digital economy and high-quality development. The findings reveal that: (1) temporally, the coupling–coordination process evolves through three distinct phases—initial fluctuation and divergence (1990–2005), synergy consolidation (2005–2015), and high-level stabilization (2015–2022)—with the average coordination index rising from 0.21 to 0.41; (2) spatially, a persistent “core–periphery” structure emerges, while subsystem coupling consistently surpasses coordination levels, reflecting a pattern of “high coupling but insufficient coordination”; (3) hot–cold spot analysis identifies sharp east–west contrasts, with the gravity center shift and ellipse trajectory showing weaker directional stability but greater dispersion; and (4) grey correlation results indicate that key drivers have transitioned from economic scale and infrastructure inputs to green innovation performance and data resource allocation. Overall, this study interprets the empirical results in both temporal and spatial dimensions, offering insights for policymakers seeking to narrow the digital divide and advance sustainable, high-quality development in the Yellow River region.
Full article
Open AccessArticle
The Impact of Window Visual Permeability on Socio-Spatial Accessibility in Iranian Cultural Heritage Houses
by
Seyedeh Maryam Moosavi, Còssima Cornadó, Reza Askarizad and Chiara Garau
Sustainability 2025, 17(21), 9742; https://doi.org/10.3390/su17219742 (registering DOI) - 31 Oct 2025
Abstract
This research offers a fresh lens on Iranian cultural heritage houses by interrogating the overlooked role of Orosi windows in shaping socio-spatial accessibility and visual permeability. While these decorative stained-glass features are traditionally appreciated for their artistry and environmental performance, their functional impact
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This research offers a fresh lens on Iranian cultural heritage houses by interrogating the overlooked role of Orosi windows in shaping socio-spatial accessibility and visual permeability. While these decorative stained-glass features are traditionally appreciated for their artistry and environmental performance, their functional impact on visibility and spatial interaction remains underexplored. The study aims to assess how window visual permeability influences socio-spatial accessibility within the hierarchical layouts of historic houses in Iran. To this end, a quantitative approach was adopted, applying convex space analysis to examine socio-spatial dynamics and visibility graph analysis (VGA) to study visual permeability within the space syntax framework. Fifteen heritage houses were analysed under two conditions using VGA: their current status quo, and a hypothetical model in which windows were treated as fully transparent, allowing unobstructed sightlines. The analyses demonstrated that removing window barriers enhanced visual integration and connectivity across all cases. Statistical t-tests further confirmed that these differences were significant, establishing that Orosi windows exert a profound influence on visual permeability. Beyond their ornamental and climatic roles, this study redefines Orosi windows as dynamic cultural devices that actively script human visibility, privacy, and interaction, revealing how historical design intelligence can inform sustainable, culturally responsive architectural practices.
Full article
(This article belongs to the Special Issue Sustainable Design and Assessment of Heritage Structures and Urban Areas)
Open AccessArticle
Unlocking Sustainable Futures: How Digital Economy Transition Drives Urban Low-Carbon Development in China
by
Guodong Han, Wancheng Xie and Wei Wang
Sustainability 2025, 17(21), 9741; https://doi.org/10.3390/su17219741 (registering DOI) - 31 Oct 2025
Abstract
The digital economy (DE) has become an essential driver of sustainable growth under China’s “Dual Carbon” goals of carbon peaking and neutrality. However, limited evidence exists on the DE’s city-level effects on green and low-carbon transition. This study investigates the impact and mechanisms
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The digital economy (DE) has become an essential driver of sustainable growth under China’s “Dual Carbon” goals of carbon peaking and neutrality. However, limited evidence exists on the DE’s city-level effects on green and low-carbon transition. This study investigates the impact and mechanisms through which digital economy transition (DET) influences urban low-carbon development, utilizing panel data from 283 Chinese cities between 2011 and 2018. A comprehensive digital economy development (DED) index is constructed to measure regional digitalization levels. The findings reveal the following: (1) DET significantly improves CEE, and a one-standard-deviation increase in DED raises CEE by approximately 3.7%. (2) The effect of DET on CEE exhibits regional and resource-based heterogeneity, with western regions and resource-dependent cities benefiting more substantially. (3) The mechanisms through which DET improves CEE include stimulating the technological innovation level, attracting foreign direct investment (FDI), and promoting the financial development level. These insights provide valuable theoretical and practical implications for policymakers seeking to harness the digital economy to achieve sustainable urban development and carbon neutrality.
Full article
(This article belongs to the Special Issue Low Carbon Energy and Sustainability—2nd Edition)
Open AccessArticle
Sustainable Local Employment Gains from Marcellus Shale Gas Extraction, or Modest and Temporary?
by
David Yerger and Todd B. Potts
Sustainability 2025, 17(21), 9740; https://doi.org/10.3390/su17219740 (registering DOI) - 31 Oct 2025
Abstract
Localized employment gains from new or expanded fossil fuel development commonly are cited by its proponents in response to sustainability-related concerns raised by local drilling area residents. This paper analyzes local employment effects in drilling areas within the Marcellus shale formation in the
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Localized employment gains from new or expanded fossil fuel development commonly are cited by its proponents in response to sustainability-related concerns raised by local drilling area residents. This paper analyzes local employment effects in drilling areas within the Marcellus shale formation in the state of Pennsylvania, USA. The Marcellus shale formation was one of the early natural gas fracking boom development areas globally, so these local employment outcomes can inform future policy decisions on not-yet-developed shale gas formations worldwide. As long-term sustainable jobs are a key part of any locale’s sustainable development program, the magnitude and persistence of employment gains in the local drilling area is highly relevant. The existing research literature on employment effects from increased shale gas extraction is dominated by usage of panel estimation on annual data at the U.S. state/county level. The innovative contribution of this paper is its use of monthly data, sub-state local areas (67 counties within PA), and a parsimonious vector autoregression model (VAR) estimated separately for each of the 67 counties. The estimated VAR models are used to ascertain whether Marcellus shale drilling activity in PA led to actual county-level employment above forecasted based on data prior to the shale boom. Actual versus forecasted employment is compared from 2010–2019. Higher than forecasted employment findings were much more likely to occur in approximately the top quarter of drilling counties, with the observed gains being modest. Most importantly, however, any employment gains above forecast were short-lived, gone within four years in most counties. Given the modest and temporary local employment gains found and the many known potential damages to local residents and the environment from intensive drilling, it is questionable that the local areas in the Marcellus shale formation most intensively drilled benefited overall from the shale gas extraction. These findings are germane to ongoing current debates about expanding natural-gas-fired electricity generation, versus solar plus storage, to meet anticipated large rises in electricity demand from rapid data center development globally.
Full article
(This article belongs to the Section Resources and Sustainable Utilization)
Open AccessArticle
Exploring Optimal Regional Energy-Related Green Low-Carbon Socioeconomic Development Policies by an Extended System Planning Model
by
Xiao Li, Jiawei Li, Shuoheng Zhao, Jing Liu and Pangpang Gao
Sustainability 2025, 17(21), 9739; https://doi.org/10.3390/su17219739 (registering DOI) - 31 Oct 2025
Abstract
The system analysis method is suitable for detecting the optimal pathways for regional sustainable (e.g., green, low carbon) socioeconomic development. This study develops an inexact fractional energy–output–water–carbon nexus system planning model to minimize total carbon emission intensity (CEI, total carbon emissions/total economic output)
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The system analysis method is suitable for detecting the optimal pathways for regional sustainable (e.g., green, low carbon) socioeconomic development. This study develops an inexact fractional energy–output–water–carbon nexus system planning model to minimize total carbon emission intensity (CEI, total carbon emissions/total economic output) under a set of nexus constraints. Superior to related research, the model (i) proposes a CEI considering both sectoral intermediate use (indirect) and final use (direct); (ii) quantifies the dependencies among energy, output, water, and carbon; (iii) restricts water utilization for carbon emission mitigation; (iv) adopts diverse mitigation measures to achieve carbon neutrality; (v) handles correlative chance-constraints and crisp credibility-constraints. A case in Fujian province (in China) is conducted to verify its feasibility. Results disclose that the total CEI would fluctuate between 45.05 g/CNY and 47.67 g/CNY under uncertainties. The annual total energy and total output would, on average, increase by 0.58% and 2.82%, respectively. Eight mitigation measures would be adopted to reduce the final carbon emission into the air to 0 by 2060. Compared with 2025, using water for carbon emission mitigation would increase 17-fold by 2060. For inland regions, authorities should incorporate other unconventional water sources. In addition, the coefficients of embodied energy consumption and water utilization are the most critical parameters.
Full article
Open AccessSystematic Review
Sustainable Supply Chains in the Forest Bioeconomy: A Systematic Review
by
Hamish van der Ven and Kodiak Bear
Sustainability 2025, 17(21), 9738; https://doi.org/10.3390/su17219738 (registering DOI) - 31 Oct 2025
Abstract
The forest bioeconomy is an emerging global sector that uses forest material to make value-added bioproducts that range from pharmaceuticals to biofuels. Notwithstanding their capacity to advance various United Nations Sustainable Development Goals, forest bioproducts face considerable sustainability challenges in global supply chains
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The forest bioeconomy is an emerging global sector that uses forest material to make value-added bioproducts that range from pharmaceuticals to biofuels. Notwithstanding their capacity to advance various United Nations Sustainable Development Goals, forest bioproducts face considerable sustainability challenges in global supply chains associated with harvesting, processing, and transportation. Using a systematic literature review focused on challenges and solutions to sustainability in forest bioeconomy supply chains, we analyze 81 peer-reviewed studies to identify the primary sustainability challenges and their attendant solutions. We find that economic barriers to scaling the forest bioeconomy are the most commonly studied challenge, while social and environmental challenges are often marginalized. Increasing stakeholder engagement is the most commonly mentioned solution, but the limitations of stakeholder engagement are largely absent from scholarly discourse. Lastly, we identify significant gaps in the literature related to coverage of non-European countries and analysis of key sectors like mass timber construction. The results gesture to the need for more research on under-represented regions and sectors, greater attention to social and environmental supply chain challenges, and deeper engagement with adjacent literatures on the intersection of public policy with sustainable supply chain governance.
Full article
(This article belongs to the Special Issue Global Supply Chain Management for Sustainable Organizational Performance)
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Open AccessReview
The Role of Plant Genetic Resources and Grain Variety Mixtures in Building Sustainable Agriculture in the Context of Climate Change
by
Aleksandra Pietrusińska-Radzio, Paulina Bolc, Anna Tratwal and Dorota Dziubińska
Sustainability 2025, 17(21), 9737; https://doi.org/10.3390/su17219737 (registering DOI) - 31 Oct 2025
Abstract
In an era of global warming, sustainable agriculture, which emphasises the conservation of biodiversity and the rational use of natural resources, is growing in importance. One of the key elements is to increase the genetic diversity of crops through the use of crop
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In an era of global warming, sustainable agriculture, which emphasises the conservation of biodiversity and the rational use of natural resources, is growing in importance. One of the key elements is to increase the genetic diversity of crops through the use of crop wild relatives (CWRs) and local varieties, which provide a source of genes for resistance to biotic and abiotic stresses. Modern agricultural systems are characterised by low biodiversity, which increases the susceptibility of plants to diseases and pests. Growing mixtures of varieties, both intra- and interspecific, is a practical strategy to increase plant resistance, stabilise yields and reduce pathogen pressure. This manuscript has a review character and synthesises the current literature on the use of CWRs, local varieties, and variety mixtures in sustainable agriculture. The main research question of the study is to what extent plant genetic resources, including CWRs and local varieties, as well as the cultivation of variety mixtures, can promote plant resistance, stabilise yields and contribute to sustainable agriculture under climate change. The objectives of the study are to assess the role of genetic resources and variety mixtures in maintaining biodiversity and yield stability, and to analyse the potential of CWRs and local varieties in enhancing plant resistance. Additionally, the study investigates the impact of variety mixtures in reducing disease and pest development, and identifies barriers to the use of genetic resources in breeding along with strategies to overcome them. The study takes an interdisciplinary approach including literature and gene bank data analysis (in situ and ex situ), field trials of cultivar mixtures under different environmental conditions, genetic and molecular analysis of CWRs, the use of modern genome editing techniques (CRISPR/Cas9) and assessment of ecological mechanisms of mixed crops such as barrier effect, and induced resistance and complementarity. In addition, the study considers collaboration with participatory and evolutionary breeding programmes (EPBs/PPBs) to adapt local varieties to specific environmental conditions. The results of the study indicate that the integration of plant genetic resources with the practice of cultivating variety mixtures creates a synergistic model that enhances plant resilience and stabilises yields. This approach also promotes agroecosystem conservation, contributing to sustainable agriculture under climate change.
Full article
(This article belongs to the Special Issue Innovative Strategies for Rural Development: Advances in Sustainable Agriculture and Responsible Agritourism)
Open AccessArticle
A Sustainable Technology Approach to Lettuce (Lactuca sativa L.) Grown Under Greenhouse Condition Through Foliar Application of Various Biostimulants
by
Roxana Maria Madjar, Mariana Cristiana Gheorghe and Gina Vasile Scăețeanu
Sustainability 2025, 17(21), 9736; https://doi.org/10.3390/su17219736 (registering DOI) - 31 Oct 2025
Abstract
Biostimulants play a crucial role in producing high-quality products with increased yields while also positively impacting sustainable agriculture by reducing reliance on chemical fertilizers and promoting soil fertility. In this context, an experiment was developed to evaluate the influence of several commercial foliar
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Biostimulants play a crucial role in producing high-quality products with increased yields while also positively impacting sustainable agriculture by reducing reliance on chemical fertilizers and promoting soil fertility. In this context, an experiment was developed to evaluate the influence of several commercial foliar fertilizers and biostimulants (Cropmax, FullGreen, Nutrigizer, and Rerum) on the yield and quality parameters of lettuce cultivated in a greenhouse system. The tested products have different formulations, with all containing macronutrients and microelements. Cropmax and Rerum also include amino acids, while Nutrigizer 60 2E contains humic acids. The experiment was arranged in a randomized block design and comprised five treatments, with a control and four biostimulants, Cropmax, FullGreen, Nutrigizer, and Rerum, each replicated five times. Foliar treatments were applied four times to the butterhead lettuce variety ‘Analena’, suitable for spring to autumn production. All foliar treatments resulted in an increase in leaf biomass compared to that for the control variant. Notably, foliar fertilization with Rerum increased the yield by 2.19 times compared to that in the control. Quality indices—dry matter, ascorbic acid, and sugar contents—also improved after treatments. The foliar treatments also significantly enhanced key quality indices, with the Rerum variant showing the most pronounced increases in dry matter (24.11%), ascorbic acid (69.75%), and sugar content (26.38%) compared to those for the control. These results demonstrate that foliar application of biostimulants, particularly Rerum, is an effective sustainable technology strategy for significantly enhancing both the yield and nutritional quality of greenhouse-grown lettuce.
Full article
(This article belongs to the Special Issue Green Technology and Biological Approaches to Sustainable Agriculture)
Open AccessArticle
The Dynamic Interplay of Renewable Energy Investment: Unpacking the Spillover Effects on Renewable Energy Tokens, Fossil Fuel, and Clean Energy Stocks
by
Amirreza Attarzadeh
Sustainability 2025, 17(21), 9735; https://doi.org/10.3390/su17219735 (registering DOI) - 31 Oct 2025
Abstract
The urgency of transitioning to sustainable energy has accelerated amid climate change concerns and fossil fuel depletion. This study introduces a novel comparative framework that integrates Time-Varying Parameter Vector Autoregression (TVP-VAR) and Quantile Vector Autoregression (QVAR) models to examine both returns and realized
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The urgency of transitioning to sustainable energy has accelerated amid climate change concerns and fossil fuel depletion. This study introduces a novel comparative framework that integrates Time-Varying Parameter Vector Autoregression (TVP-VAR) and Quantile Vector Autoregression (QVAR) models to examine both returns and realized volatility across renewable-energy tokens (Powerledger and Wepower), clean-energy stocks, and crude oil. This dual-method approach uniquely captures time-varying and tail-specific spillovers, extending previous studies that relied on a single model or ignored volatility interactions. Using daily data from February 2018 to January 2023, we reveal moderate but significant interconnectedness—about 30% on average—with stronger linkages during global crises such as COVID-19 and the Russia–Ukraine conflict. Renewable-energy tokens act mainly as net receivers of shocks, implying their role as protective diversification assets, while clean-energy stocks are net transmitters and oil alternates between both roles. These results highlight how digital assets interact with traditional energy markets under varying conditions. The study offers practical implications for portfolio diversification and emphasizes the need for transparent, supportive regulation to prevent tokens from amplifying systemic risk while promoting the stability of sustainable-energy investment markets.
Full article
Open AccessArticle
Governance of the Implementation of Education for Sustainable Development (ESD) in Schools—Perceptions of Key Stakeholders in Education
by
Samuel Balonier and Stephan Gerhard Huber
Sustainability 2025, 17(21), 9734; https://doi.org/10.3390/su17219734 (registering DOI) - 31 Oct 2025
Abstract
Education for sustainable development (ESD) plays a pivotal role in facilitating a sustainable transformation. A prerequisite for the successful implementation of ESD is the coordinated cooperation of stakeholders from different levels of the education system. The present study explores the perceptions of key
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Education for sustainable development (ESD) plays a pivotal role in facilitating a sustainable transformation. A prerequisite for the successful implementation of ESD is the coordinated cooperation of stakeholders from different levels of the education system. The present study explores the perceptions of key stakeholders in education in Germany concerning (a) the conceptual framework of ESD, (b) the present status of ESD implementation, and (c) the ideal governance of ESD implementation. An exploratory, qualitative approach was selected as the study design. A total of eleven interviews were conducted with stakeholders representing various levels of the German education system, including representatives from ministries, state institutes, associations, and school practice. The findings indicate that the stakeholders have a shared understanding of ESD, with varying degrees of elaboration and areas of emphasis. All acknowledge the advancement in the implementation of ESD, concurrently recognizing the necessity for substantial enhancement. This study’s main contributions are a better understanding of stakeholders’ perceptions on ESD implementation and an ideal governance model that allocates specified responsibilities across all relevant system levels and actors. A combined bottom-up and top-down approach is proposed as essential in the pursuit of fostering sustainability within and through education, encompassing professionalism, profoundness, and persistence.
Full article
(This article belongs to the Section Sustainable Education and Approaches)
Open AccessArticle
The Eco-Friendly Paradigm Shift in Shipping and Shipbuilding: Policy–Technology Linkages as Key Drivers
by
Hae-Yeon Lee, Chang-Hee Lee, Sang-Seop Lim and Kang Woo Chun
Sustainability 2025, 17(21), 9733; https://doi.org/10.3390/su17219733 (registering DOI) - 31 Oct 2025
Abstract
The decarbonization of shipping and shipbuilding is a critical challenge under the Inter-national Maritime Organization’s (IMO) 2030 greenhouse gas (GHG) reduction target and 2050 net-zero strategy, requiring effective coordination between policy and technology. This study investigates how Japan, China, and Korea respond to
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The decarbonization of shipping and shipbuilding is a critical challenge under the Inter-national Maritime Organization’s (IMO) 2030 greenhouse gas (GHG) reduction target and 2050 net-zero strategy, requiring effective coordination between policy and technology. This study investigates how Japan, China, and Korea respond to these regulatory pressures by systematically analyzing their policy–technology linkages. A four-stage design was applied, combining qualitative case studies, policy–technology mapping, theoretical interpretation, and comparative analysis, to trace how national strategies shape eco-friendly transitions. Japan employs an innovation-led, institution-convergent model in which technological demonstrations drive institutional adaptation and diffusion, China follows a policy-designated, execution-oriented model where state-led interventions accelerate commercialization, and Korea adopts a coordination-based, cyclical model balancing public demonstrations, financial support, and international standardization to reduce transition costs. These findings demonstrate that sequencing between policy–technology linkage is context-dependent, shaped by technological maturity, economic feasibility and infrastructure, institutional predictability, and socio-environmental acceptance. The study contributes a cyclic co-evolutionary perspective that moves beyond technological or institutional determinism, reconceptualizes regulation as enabling infra-structure, and identifies implications for global standard-setting and industrial competitiveness. The insights inform practical strategies for major shipbuilding nations to reduce costs while sustaining competitiveness under the IMO’s decarbonization framework.
Full article
(This article belongs to the Topic Maritime Transportation in the Blue Economy and Green Shipping Technology)
Open AccessArticle
Digital Maturity and Resilient Cities: A Coupling System for Sustainable Development of Chinese Cities
by
Wanxiao Xu, Ziqiang Wang and Simin Yin
Sustainability 2025, 17(21), 9732; https://doi.org/10.3390/su17219732 (registering DOI) - 31 Oct 2025
Abstract
This study takes 22 megacities and super-large cities in China as research subjects, systematically exploring the coupled system relationship between digital maturity and resilient cities. Using methods such as information entropy theory, coupling coordination degree model, and grey relational coefficient measurement, it conducts
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This study takes 22 megacities and super-large cities in China as research subjects, systematically exploring the coupled system relationship between digital maturity and resilient cities. Using methods such as information entropy theory, coupling coordination degree model, and grey relational coefficient measurement, it conducts comprehensive evaluation analysis, coupling coordination analysis, and factor contribution analysis. The results indicate that digital maturity and resilient cities exhibit a mutually reinforcing relationship. The positive interaction and coupling between digital maturity and resilient cities development have further promoted innovation in China’s urban governance and contributed to the long-term sustainable development of cities. Although the digital maturity and resilience levels of these cities show a fluctuating upward trend, they have not yet reached an ideal state, and significant differences exist among different urban clusters and regions. Megacities and super-large cities demonstrate high coupling characteristics among their internal subsystems, but their coordination level remains relatively low. Key factors such as digital governance policies, digital economy, and disaster-resistant infrastructure play a crucial role in advancing the sustainable development of resilient cities. Therefore, it is urgent to improve the coupling coordination mechanism to enhance sustainable development capacity.
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Open AccessArticle
A Network Theory Approach to Assessing Environmental Sustainability in the Cruz Grande Region, Guerrero, Mexico
by
Luis A. Lucrecio, Paul Bosch, Edil D. Molina, José Luis Rosas-Acevedo and José M. Sigarreta
Sustainability 2025, 17(21), 9731; https://doi.org/10.3390/su17219731 (registering DOI) - 31 Oct 2025
Abstract
Traditional composite indicators for the study of sustainability often obscure the complex network of relationships among individual indicators, functioning as black boxes that fail to diagnose the underlying structural and functional weaknesses of the system. The objective of this research is to develop
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Traditional composite indicators for the study of sustainability often obscure the complex network of relationships among individual indicators, functioning as black boxes that fail to diagnose the underlying structural and functional weaknesses of the system. The objective of this research is to develop and apply a complementary approach grounded in network theory to diagnose and evaluate the structural and functional cohesion of environmental indicator systems. We developed a study that combines the Principal Component Analysis (PCA) method with network theory to comprehensively analyze the indicator system. The core of this contribution is the development of the index, designed to quantify the structural–functional cohesion of an indicator network. This approach is applied to an environmental dataset of 19 indicators for Cruz Grande, Guerrero, Mexico (2010–2023). The results reveal that although the indicator network is relatively dense ( ), its structural–functional cohesion is low ( ), placing the region in the Fair category. This result provides an explanation for the sustained decline of the system, as shown by the PCA-based Regional Environmental Sustainability Index . We conclude that this approach is a complementary tool for diagnosing and evaluating environmental systems, enabling the detection of vulnerabilities that remain invisible to conventional aggregation methods.
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Open AccessArticle
Coexistence of Hydropower Plants and Natura 2000 Fish Species: A Case Study of the Danube Longbarbel Gudgeon and Cactus Roach in the Impounded Sava River (Slovenia)
by
Gorazd Urbanič, Andrej Vidmar, Davor Zanella, Marko Ćaleta, Roman Karlović, Maja Pavlin Urbanič and Andrej Kryžanowski
Sustainability 2025, 17(21), 9730; https://doi.org/10.3390/su17219730 (registering DOI) - 31 Oct 2025
Abstract
The sustainable management of water bodies with hydropower plants (HPPs) and protected rheophilic fish species is challenging. The key question is whether impounded rivers can still provide habitat for protected rheophilic fish species, including Natura 2000 species. We investigated hydro-morphological conditions and fish
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The sustainable management of water bodies with hydropower plants (HPPs) and protected rheophilic fish species is challenging. The key question is whether impounded rivers can still provide habitat for protected rheophilic fish species, including Natura 2000 species. We investigated hydro-morphological conditions and fish communities, focusing on the bottom-dwelling Danube longbarbel gudgeon (Romanogobio uranoscopus) and the medium-distance migrating cactus roach (Rutilus virgo) in the Brežice HPP system on the Sava River in Slovenia. Fish sampling using an electric bottom trawl in the HPP impoundment, electrofishing in the nearshore, and video surveillance in the fish pass revealed a diverse and distinctive fish community. This community reflected rheophilic conditions in the upper impoundment and fish pass, and lentic conditions in the lower impoundment. These findings provide evidence that impounded rivers, when complemented by well-designed mitigation measures, can sustain rheophilic fish species, including the Danube longbarbel gudgeon and cactus roach. Maintaining rheophilic habitat within the impoundment, combined with a functioning river-like side channel, is crucial. However, at Brežice HPP, changes in the management of the fish pass water inflow are necessary to ensure adequate and consistent hydraulic conditions and water temperatures. Applying a knowledge co-creation approach, which requires productive interaction among scientists, managers and policy makers, could help to find the best solutions for sustainable water ecosystem management.
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(This article belongs to the Section Sustainability, Biodiversity and Conservation)
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Open AccessArticle
Upgrading Sustainability in Clean Energy: Optimization for Proton Exchange Membrane Fuel Cells Using Heterogeneous Comprehensive Learning Bald Eagle Search Algorithm
by
Ahmed K. Ali, Ali Nasser Hussain, Mudhar A. Al-Obaidi and Sarmad Al-Anssari
Sustainability 2025, 17(21), 9729; https://doi.org/10.3390/su17219729 (registering DOI) - 31 Oct 2025
Abstract
Clean energy applications widely recognize Proton Exchange Membrane Fuel Cells (PEMFCs) for their high efficiency and environmental compatibility. Accurate parameter identification of PEMFC models is essential for enhancing system performance and reliability, particularly under dynamic operating conditions. This paper presents a novel optimization-based
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Clean energy applications widely recognize Proton Exchange Membrane Fuel Cells (PEMFCs) for their high efficiency and environmental compatibility. Accurate parameter identification of PEMFC models is essential for enhancing system performance and reliability, particularly under dynamic operating conditions. This paper presents a novel optimization-based approach called Heterogeneous Comprehensive Learning-Bald Eagle Search (HCLBES) with enhanced exploration and exploitation capabilities for the effective modeling of PEMFC. The algorithm combines the exploration strength of the Bald Eagle Search with comprehensive learning and heterogeneity mechanisms to achieve a balanced global and local search space. In this algorithm, the number of agents is divided into two subagents. Each subagent is assigned to focus solely on either exploration or exploitation. The comprehensive learning strategy generates exemplars for both subgroups. In the exploration sub-agent, exemplars are generated using the personal best experiences of agents within that same exploration space. The exploitation subagent generates the exemplars using the personal best experiences of all agents. This separation preserves exploration diversity even if exploitation converges prematurely. The algorithm is applied to optimize parameters of the 250 W and 500 W PEMFC models under varying conditions. Simulation results demonstrate the outperformance of the HCLBES algorithm in terms of convergence speed, estimation accuracy, and robustness compared to recent optimization algorithms. The effectiveness of HCLBES was also verified through statistical metrics and different commercial PEMFC models, including BCS 500 W stacks, Horizon 500, and NedStack PS6. Experimental validation confirms that the proposed algorithm effectively captures the nonlinear behaviours of PEMFCs under dynamic operating conditions. This research aligns with the Sustainable Development Goals (SDGs) by promoting clean and affordable energy (SDG 7) through the enhanced efficiency and reliability of PEMFCs, thereby supporting sustainable industrialization and innovation (SDG 9).
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(This article belongs to the Special Issue Advanced Artificial Intelligence/Machine Learning Techniques for Safe Operation and Control in Power and Sustainable Energy Systems)
Open AccessArticle
Incentives for Sustainable Governance in Blockchain-Based Organizations
by
Bruna Bruno, Angelo Murano and Vincenzo Vespri
Sustainability 2025, 17(21), 9728; https://doi.org/10.3390/su17219728 (registering DOI) - 31 Oct 2025
Abstract
This study analyzes how blockchain technology can be interpreted through an economic perspective, viewing network nodes as rational agents whose strategic behavior affects the efficiency and sustainability of decentralized systems. Using a multi-player non-cooperative game with complete but imperfect information, we model validators’
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This study analyzes how blockchain technology can be interpreted through an economic perspective, viewing network nodes as rational agents whose strategic behavior affects the efficiency and sustainability of decentralized systems. Using a multi-player non-cooperative game with complete but imperfect information, we model validators’ decisions in voting-based consensus mechanisms and compare alternative incentive configurations through simulation results. The analysis shows how variations in reward schemes influence validators’ behavior and consensus reliability. Extending the framework to Decentralized Autonomous Organizations (DAOs), the study explores how blockchain-based incentives can enhance participation, accountability, and decentralized governance. The findings highlight that incentive design plays a decisive role in aligning individual motivations with collective goals, ensuring both network integrity and long-term sustainability. Overall, this study connects economic theory with blockchain governance, extending its relevance to business and organizational contexts beyond cryptocurrencies.
Full article
(This article belongs to the Special Issue Digital Innovation in Sustainable Economics and Business)
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