Search Results (8,128)

Forest age is a key factor in determining the carbon sequestration capacity and trends of forests. Based on the Google Earth Engine platform and using the topographically complex and climatically diverse Southeastern Tibet as the study area, we propose a new method for forest age estimation that integrates multi-source remote-sensing data with machine learning. The study employs the Continuous Degradation Detection (CODED) algorithm combined with spectral unmixing models and Normalized Difference Fraction Index (NDFI) time series analysis to update forest disturbance information and provide annual forest distribution, mapping young forest distribution. For undisturbed forests, we compared 12 machine-learning models and selected the Random Forest model for age prediction. The input variables include multiscale satellite spectral bands (Sentinel-2 MSI, Landsat series, PROBA-V, MOD09A1), vegetation parameter products (canopy height, productivity), data from the Global Ecosystem Dynamics Investigation (GEDI), multi-band SAR data (C/L), vegetation indices (e.g., NDVI, LAI, FPAR), and environmental factors (climate seasonality, topography). The results indicate that the forests in Southeastern Tibet are predominantly overmature (>120 years), accounting for 87% of the total forest cover, while mature (80–120 years), sub-mature (60–80 years), intermediate-aged (40–60 years), and young forests (< 40 years) represent relatively lower proportions at 9%, 1%, 2%, and 1%, respectively. Forest age exhibits a moderate positive correlation with stem biomass (r = 0.54) and leaf-area index (r = 0.53), but weakly negatively correlated with L-band radar backscatter (HV polarization, r = −0.18). Significant differences in reflectance among different age groups are observed in the 500–1000 nm spectral band, with 100 m resolution PROBA-V data being the most suitable for age prediction. The Random Forest model achieved an overall accuracy of 62% on the independent validation set, with canopy height, L-band radar data, and temperature seasonality being the most important predictors. Compared with 11 other machine-learning models, the Random Forest model demonstrated higher accuracy and stability in estimating forest age under complex terrain and cloudy conditions. This study provides an expandable technical framework for forest age estimation in complex terrain areas, which is of significant scientific and practical value for sustainable forest resource management and global forest resource monitoring. Full article

This article examines urban mining in Brazil, highlighting its unique context compared to other regions. While European Union focuses on critical metal supply and advanced Waste Electrical and Electronic Equipment (WEEE) legislation and circular economy, Brazil’s urban mining is primarily driven by waste management and social inclusion. The current investigation was underpinned by the PRISMA extension for Scoping Reviews (PRISMA-ScR framework), using targeted searches on the Web of Science platform for technological processes and the Brazilian scenario, complemented by an analysis of legislative evolution and a Critical Discourse Analysis of national policies. The results indicate that, despite advanced legislation, significant gaps exist between discourse and practice, highlighting the need for technological appropriation, specific public policies that incentivize reverse logistics and the integration of the informal sector, and overcoming infrastructural challenges. It concludes that Brazil has a unique opportunity to develop an urban mining model that pioneeringly integrates environmental sustainability, technological innovation, and social inclusion, demanding coordinated efforts to overcome existing barriers. Full article

This study investigates membrane fouling control in a submerged anaerobic ceramic membrane bioreactor (AnCMBR) treating high-strength food wastewater (chemical oxygen demand (COD): 10–30 g/L). A hybrid strategy combining mechanical cleaning via a moving rubber blade (MRB) (termed anaerobic ceramic blade MBR (AnCBMBR)) with intermittent salt-assisted backwash (SAB) was tested to manage transmembrane pressure (TMP) and sustain treatment performance. During more than 300 days of field operation, MRB alone maintained stable TMP below 0.15 kg_f/cm² without backwashing, achieving more than 90% COD removal at a very short hydraulic retention time (HRT) of 1–2 days. Introducing intermittent SAB further stabilized operations and enhanced total phosphorus (T-P) removal by facilitating struvite formation through the interaction of MgCl₂ and phosphorus in the reactor. The AnCBMBR system demonstrated reliable, long-term fouling control and treatment efficiency, even under high organic loads, proving its viability for small-scale facilities managing concentrated food wastewater. This study advances practical strategies for sustainable anaerobic MBR operation under challenging industrial conditions. Full article

Rye (Secale cereale L.), a cereal with valuable agronomic and nutritional benefits, contributes to sustainable agriculture, especially in areas where more demanding crops cannot be cultivated due to the poor agronomic value of soil. This review explores rye grain quality optimization strategies through production techniques. The quality and yield of grain are under the significant impact of agronomic factors, such as variety selection, crop rotation, soil tillage, fertilization, sowing practices, chemical protection, and harvest timing. It is also under the strong influence of the chosen farm’s management strategy, like organic or conventional farming system. This review emphasizes its diverse potential utilization routes, and the importance of bioactive compounds, dietary fibers, phenolic acids, phytoestrogens, and benzoxazinoids that enhance its value as a functional food. Cereal grain with quality issues cannot be used as food for humans, however, it can still be utilized alternatively as a renewable biofuel. This review showed rye grain to have a potential to contribute to sustainable agriculture and at the same time build farms’ resilience through possible alternative utilization strategies. It can serve as both a food source and a sustainable biofuel, offering a dual-purpose solution within the circular bioeconomy. Full article

In response to the global imperative to reduce greenhouse gas emissions and fossil fuel dependency, electric vehicles (EVs) have emerged as a sustainable transportation alternative, primarily utilizing lithium-ion batteries (LIBs) due to their high energy density and efficiency. However, LIBs are highly sensitive to temperature fluctuations, significantly affecting their performance, lifespan, and safety. One of the most critical threats to the safe operation of LIBs is thermal runaway (TR), an uncontrollable exothermic process that can lead to catastrophic failure under abusive conditions. Moreover, thermal runaway propagation (TRP) can rapidly spread failures across battery cells, intensifying safety threats. To address these challenges, developing advanced battery thermal management systems (BTMS) is essential to ensure optimal temperature control and suppress TR and TRP within LIB modules. This review systematically evaluates advanced cooling strategies, including indirect liquid cooling, water mist cooling, immersion cooling, phase change material (PCM) cooling, and hybrid cooling based on the latest studies published between 2020 and 2025. The review highlights their mechanisms, effectiveness, and practical considerations for preventing TR initiation and suppressing TRP in battery modules. Finally, key findings and future directions for designing next-generation BTMS are proposed, contributing valuable insights for enhancing the safety and reliability of LIB applications. Full article

Scientific and rational monitoring of eco-environmental effects induced by mining activities is a prerequisite for optimizing mining planning and contributes to the advancement of ecological civilization. Remote sensing and multi-source data provide advanced methods for long-term dynamic evaluation of mining-induced eco-environmental effects. This study systematically constructs eco-environmental effect indicators tailored to mining characteristics and establishes quantitative extraction methods based on Landsat data and spectral indices. The Mine Eco-environmental Effect Index (MEEI) was developed using kernel principal component analysis (KPCA). The Heidaigou Open-pit Coal Mine in Jungar Banner was selected as the study area to validate the MEEI’s performance and analyze ecological dynamics across five key temporal phases. Results indicate the following: (1) the KPCA-based MEEI effectively integrates multi-indicator features, offering an objective representation of comprehensive eco-environmental impacts; (2) from 1990 to 2020, the ecological trajectory of the coal mine followed a pattern of “sharp deterioration → gradual slowdown → relative stabilization”, with post-mining restoration and management measures significantly mitigating negative impacts and improving regional ecological quality. This study provides a methodological framework for dynamic evaluation of mining-related eco-environmental effects, supporting sustainable mining practices and ecological governance. Full article

In today’s evolving society, meaningful development cannot be fully realized without acknowledging the vital role of the electronics sector, especially as it functions within informal markets. These markets have become more than just centers of commerce; they serve as informal learning grounds where many young people acquire entrepreneurial skills, develop resilience, and find alternatives to social vices. For many, informal entrepreneurship is not just an option but a means of survival and self-empowerment. Despite their growing relevance, the link between the entrepreneurial abilities nurtured in these informal markets and actual business performance has not been adequately examined. This study, therefore, aimed to explore how informal electronics entrepreneurs in a developing economy navigate their environment, overcome challenges, and create wealth through vision, innovation, and calculated risk-taking. Anchored in institutional theory, the research employed a qualitative approach, using cluster, purposive, and simple random sampling to select participants from key informal business units. Interviews were conducted, transcribed, and analyzed using QSR NVivo 12, allowing for deep insight into the lived experiences of the entrepreneurs. Findings revealed that 78% of participants emphasized practical suggestions that aid informal business survival, such as customer-driven innovations, adaptive strategies, and avoiding confrontations with regulatory agencies. Key attributes such as foresight, adaptability, and risk management accounted for 66% of the variance in corporate success. Strategic and innovative approaches are enabling informal firms to endure and prosper, since 61% of respondents associated these competencies with organizational success. The new BSP framework, which integrates institutional and contingency theories, illustrates how informal enterprises endure by conforming to or opposing institutional pressures and adjusting to environmental changes. The results indicate that, when properly understood and supported, the informal electronics sector may develop sustainably. This study demonstrates that informal entrepreneurship is influenced by formal regulations, informal norms, and local enforcement mechanisms, therefore enhancing institutional theory and elucidating business behavior in developing nations. The Business Survival Paradigm [BSP] illustrates how informal enterprises navigate institutional obstacles to endure. It advocates for policies that integrate the official and informal sectors while fostering sustainable development. The paper advocates for ongoing market research to assist informal firms in remaining up-to-date. It implores authorities to acknowledge the innovative potential of the informal sector and to provide supportive frameworks for sustainable growth and formal transition where feasible. Full article

Local governments and municipalities are finding themselves increasingly challenged in planning and managing external conditions of escalating complexity, ranging from climate and environmental changes to unplanned migration, and major economic changes exacerbating inequalities. Local governments are generally unprepared for the long-term planning and lack the requisite strategic guidance for confronting the complexities posed by these growing threats at multiple fronts. The inadequacy of contemporary public management to these emerging problems further increases the risks to citizen well-being and future economic vitality. The purpose of this conceptual paper is to identify and describe specific characteristics of transformative management practices drawn from system science that can more adequately address complexity. To this end, the authors review the literature on municipal public management practices and assess the lack of systemic approaches consistent with complexity science. The service ecosystems perspective is proposed as an approach with the potential for managing in high complexity in urban contexts. The limitations of contemporary public management are examined through an emerging systems lens. These limitations are then contrasted with insights from the service ecosystems perspective to delineate the characteristics of more systemic management practices. The findings of this analysis point to three such characteristics: integrative, collective, and adaptive practices. The authors illustrate these characteristics and discuss their implications for shifting municipal management practice. They conclude with specific recommendations for research, practice, and policy. Full article

This study aimed to systematically evaluate the effects of different nitrogen application rates and irrigation practices on water-saving and yield enhancement in winter wheat production in the North China Plain (NCP) using a meta-analysis. By quantifying the impacts on crop yield, nitrogen use efficiency (NUE), and water use efficiency (WUE), the research provides a scientific basis for optimizing management practices in winter wheat production in this region. A comprehensive literature search was conducted across multiple databases, resulting in the inclusion of 94 eligible studies from 2018 to 2023. A random-effects model was employed to calculate the combined effect sizes, followed by subgroup and sensitivity analyses to further investigate the influence of nitrogen application rates, irrigation methods, and study regions on winter wheat production efficiency. The findings reveal that increasing nitrogen application rates and adopting deficit irrigation practices significantly improved winter wheat yield (combined effect size: 4.53 t·ha⁻¹), NUE (43.29%), and WUE (0.013 t·ha⁻¹·mm⁻¹). The subgroup analysis further elucidated the critical roles of nitrogen application ratios, irrigation methods, and study regions in determining winter wheat production efficiency, while the sensitivity analysis confirmed the robustness of these findings, as the pooled effect sizes decreased by merely 0.69% and increased by 0.61% after excluding small-sample or highly biased studies, respectively. The above meta-analysis did not incorporate long-term field trials; hence, two-year field experiments with designed irrigation and organic–inorganic fertilizer treatments were conducted, which provided further validation for the meta-analysis. Under short-term conditions (excluding CO₂ effects), we observed that chemical fertilizer exhibited a measurable inhibitory effect on crop water uptake and optimal water–fertilizer management was achieved with a 7:3 inorganic–organic fertilizer ratio combined with 450 m³·ha⁻¹ irrigation. This study demonstrates the effectiveness of optimizing nitrogen fertilization and irrigation management in enhancing winter wheat yield and resource utilization efficiency. The findings offer actionable insights for sustainable agricultural practices in the NCP and similar regions, contributing to improved crop productivity and resource conservation. Full article

The recent spread of foreign animal diseases (FADs) such as foot-and-mouth disease and African swine fever emphasizes the need to conduct comprehensive surveillance to detect a potential disease introduction as soon as possible. The United States is currently free of many important FADs of swine, and many preparedness initiatives have raised awareness amongst the commercial, intensive swine industry. However, the awareness and engagement of small-scale swine farmers regarding disease surveillance and passive reporting is not well known. This scoping review was conducted to identify and characterize sources of evidence on the practices and attitudes of small-scale swine farmers and owners in the United States regarding pig health and disease management, surveillance, and veterinary care use, and secondarily to characterize information seeking and communication behaviors. Sources of evidence were found through keyword searches of online databases, citation matching, and Sustainable Agriculture Research and Education project reports. Eligibility criteria included being conducted on or with US small-scale (defined in this review as less than 1000 pigs) or non-intensive swine farms and containing information pertinent to the objectives of the review. Seventeen sources were included in the final review. Regular disease monitoring and surveillance practices were not commonly reported, and multiple sources reported little to no incidence of disease occurrence in small-scale swine farms. Reported veterinary use and access was variable, and multiple sources reported that the choice to use veterinary care was affected by its perceived cost, value, and accessibility. Future research and outreach should aim to discern key factors affecting farmer’s decisions to use a veterinarian, improve their awareness and prioritization of swine diseases, and develop small-scale appropriate disease surveillance protocols. Ultimately, this will help small-scale swine farmers to protect the health of their pigs and improve FAD surveillance in the US. Full article

Despite the rapid improvement in the availability and resolution of real-time electricity data, budget development processes in mining have remained relatively unchanged. Currently, there is no standard for the evaluation of mine electricity cost budgets. This study aims to determine whether forecasting processes used by mines produce budgets of sufficient quality and resolution to be used as a tool for daily energy- and cost management. A literature review was conducted to determine a set of best practices for electricity budgeting on mines. These findings were used to develop a survey to evaluate the current state of budgeting processes on South African mines. Surveys were conducted at 41 mine business units. Survey results were processed and analyzed and found that there are significant shortcomings in complying with the identified best practices. The majority of mines produced forecasts in lower resolutions than actual available data, thereby reducing their usefulness as energy management tools. The methods currently employed by mining sites are not scalable and are vulnerable to human error. Only 7% of participating business units’ budgets passed the identified best practices. Adherence to best practices, identified in this paper, will assist mines in improving electricity cost forecasts for more proactive- and sustainable energy management. This will also assist the industry in aligning with the UN Sustainable Development Goals (SDGs) of Affordable and Clean Energy (SDG 7), Industry, Innovation, and Infrastructure (SDG 9), and Responsible Consumption and Production (SDG 12). Full article

Cover crops are becoming widely integrated into many farms as tools for improving sustainability. However, the decisions by growers for planting follow several objectives/criteria, many of which overlap. This review orders these sowing rationales into a practical framework for land management guidance. Prioritised by cover crop performance objectives, the optimal species and their environmental requirements are discussed. A key consideration of this review is that cover crops are used as part of a rotation strategy. Here, farmers’ primary objectives are to maintain or enhance biomass not of the cover plants themselves but for the following commercial crop. For example, a large cover crop biomass may be beneficial for reducing field-nutrient losses but are counterproductive if nutrient immobilisation or offtake then results in subsequent nutrition stresses and yield declines. Furthermore, species selection and management practices must be integrated if these negative impacts are to be mitigated. This review has found a strong research focus on cover crop nitrogen dynamics but limited research on nutrient recycling more broadly. Moreover, there is growing evidence that regionality plays a critical role in cover crop and land management partnering due to variations in edaphic and climatic influences, but there is a shortfall in research to inform strategies for many important agricultural centres such as Northern Ireland. Full article

Deep-sea trawling in the Mediterranean Sea, while economically significant, has profound ecological implications due to high discard rates and the practice’s impact on deep-sea biodiversity. This study examines the composition of discards and bycatch in Antalya Bay, a key deep-sea fishing area in the Eastern Mediterranean, during a commercial fishing season, focusing on seasonal and depth-related variations. Data were collected from deep-sea bottom trawl operations conducted between September 2016 and April 2017, analyzing species diversity and catch composition in terms of discarded and bycatch species. The results revealed an average discard rate of 70.7% of the total catch, with significant seasonal fluctuations. In total, 75 species were identified, comprising 48 Osteichthyes, 11 Elasmobranchii, 10 Crustacea, 4 Mollusca, 1 Brachiopoda, and 1 Echinodermata. Discarded species primarily consisted of juveniles of commercially valuable species (Merluccius merluccius and Lepidorhombus whiffiagonis), endangered elasmobranchs, and non-target benthic invertebrates. Depth-stratified analysis indicated that higher discard ratios and greater biodiversity loss occur at depths between 200 and 700 m, where slow-growing species and vulnerable deep-sea assemblages dominate. CPUE estimates for target, bycatch, and discarded species were calculated as 72.26, 145.12, and 385.52 kg/h, and CPUA values were calculated as 0.79, 1.59, and 2.92, respectively. These findings underscore the disproportionate impact of bottom trawling on deep-sea ecosystems and highlight the need for sustainable fisheries management strategies. Full article

Studies at the intersection of climate change and futures research are needed. In response, we interviewed Icelanders (n = 63) to understand individuals’ visions of the future. Linguistic analysis revealed that participants expressed themselves informally with moderate confidence, high authenticity, and a negative tone. Deductive thematic analysis revealed three overarching visions of the future: (1) a utopian future characterized by environmental and social harmony where people return to nature; (2) a stable future reminiscent of today with improved infrastructure, connectivity, and continued sustainability and adaptation practices that maintain a rural lifestyle; and (3) a dystopian future marked by climate disruptions, overpopulation, and new environmental hazards requiring more emergency management resources alongside cultural barriers to adaptation that lead to the decay of infrastructure. The findings underscore the need to understand community-specific values and concerns for developing culturally sensitive and sustainable climate change adaptation strategies. Full article

Soil health has become increasingly important in recent years. The Hokkaido government initiated its original administrative strategy referred to as “Clean Agriculture” in 1991, before the concept of soil health and soil quality evolved in the 1990s. Also, Clean Agriculture has been integrated with remote sensing techniques for spatial application in arable fields. In this review paper, we summarized the scientific progress in Clean Agriculture and the management of soil health using remote sensing. One of the main pillars of Clean Agriculture is the minimal usage of chemical fertilizers and agrochemicals to increase soil fertility through the proper application of organic matter. The other two pillars are the sustainment and enhancement of the natural recycling function in agriculture and the enhancement of a stable production safe and high-quality agricultural products taking into account environmental harmony. These agronomic practices can increase soil fertility, maintain water quality, mitigate climate change, and maintain human health, and are similar to those in North America and the EU. Moreover, soil nitrogen fertility evaluated by autoclaved nitrogen (AC-N) can be estimated in large-scale fields and areas via remote sensing, which can facilitate variable nitrogen fertilization using variable-rate planters or broadcasters. Furthermore, systems comprising the growth sensor and variable-rate broadcaster can determine the additional nitrogen fertilization rates for winter wheat on the fields, which enhances soil health over relatively large areas. Further research is needed to expand the spatial utility of various Clean Agriculture techniques using multiperiod satellite images. Full article