Sustainable Management Practices Research Articles

Synergistic windbreak efficiency of desert vegetation and oasis shelter forests.

This study investigates the novel approach of synergizing desert vegetation with shelter forests to enhance windbreak efficiency in a transitional zone between the Korla oasis and the Taklimakan Desert, northwest China. Through an extensive field survey and experimental setup, we evaluated the impact of different shelterbelt configurations on wind speed reduction. Three types of shelter forests were examined: multi-row Poplar (Populus alba), single-row Jujube (Ziziphus jujube), and a mixed-species layout combining one row of Jujube and two rows of Poplar trees. Wind speed measurements were recorded at multiple heights across three zones-open field, between desert vegetation and shelterbelt, and leeward of the shelterbelt-over a three-month period (April to June, 2023). The findings reveal a significant reduction in wind speed, particularly on the leeward side, with multi-row and mixed-species configurations proving the most effective. The highest synergistic efficiency, observed in the mixed-species shelter forest, showed a windbreak efficiency improvement of over 20% compared to desert vegetation alone. This study provides new insights into the combined effectiveness of desert vegetation and shelter forests, offering a strategic framework for designing shelterbelts in arid environments. These results underscore the critical role of diverse, structured vegetation arrangements in combating wind erosion and contribute to the development of sustainable ecological management practices for desert regions worldwide.

Growth patterns and age determination of Piked Dogfish from Romanian Black Sea waters: Insights from spines analysis

Understanding the growth patterns and the age composition of Squalus acanthias (piked dogfish) populations, from Romanian marine area, helps to elaborate sustainable fisheries management practices because changes in population parameters could indicate shifts in prey availability, habitat quality issues, or fishing pressure. In recent years, the official catches on the Romanian coast, of this economically valuable species in the entire Black Sea basin, have remained below one ton. Regarding the growth patterns, a slight increase in the average length value was observed, from 107,85 cm in 2022 to 116,88 cm in 2023. For age determination the method of analyzing the dorsal spines was used, considered the most appropriate. Thus, in 2022 mature specimens (19 years old) predominated, and in 2023, younger specimens (14 years old), but completely mature from a reproductive point of view, predominated. Analyzing age structure over time is important for predicting future population trends and implementing conservation measures as needed.

Analysis of Mangrove Forest Management in Teluk Lembar, West Lombok, Indonesia

Mangrove forests in Teluk Lembar, West Lombok, have an important role in ecological balance and socio-economic benefits. However, these ecosystems face pressure from land conversion for ponds, illegal logging, and pollution. This study aims to describe the condition of mangroves, analyze the socio-economic aspects of the community and the role of stakeholders, assess the value of direct benefits of mangroves, and formulate sustainable management strategies. The results showed significant biodiversity, with 14 species of mangroves and 53 species of fauna, including 44 species of birds. The bird ecological index showed diversity (H') 32, uniformity (E) 0.8, and dominance (D) 0.7, which signified ecosystem stability. However, a serious threat comes from the conversion of land for ponds, houses, factories, and ports. Of the 1703.19 ha of the total area area, only 179.44 ha (10.54%) of mangrove forests remain. Waste pollution, such as mercury and copper levels that exceed the limit, also negatively impacts the ecosystem. Based on the SWOT analysis, the proposed mangrove management strategy includes: (a) strengthening community capacity in mangrove management through training and education, (b) increasing collaboration between stakeholders to strengthen regulation and law enforcement, (c) optimizing economic benefits through the development of mangrove-based ecotourism, and (d) implementing sustainable management practices to maintain a balance between conservation and utilization

Enhancing Soil Texture and Bulk Density Mapping Using Soil Grids and Machine Learning: A Comparative Analysis with Observed Data

Digital soil mapping plays a crucial role in understanding soil variability and informing sustainable land management practices. This study focuses on the Kurdistan Region of Iraq (KRI), evaluating the accuracy of SoilGrids, a global-scale soil mapping initiative, and exploring the efficacy of machine learning algorithms in refining soil properties estimations. The aim of this research was to assess and represent the physical parameters of soils effectively by comparing ground truth soil sampling data with data obtained from SoilGrids regarding clay, silt, and sand fractions and bulk density. Comparative analyses were conducted between ground truth soil sampling data and SoilGrids predictions, revealing significant differences across soil mineral fractions including clay, silt, sand fractions, and bulk density. The results showed that the mean clay fraction in the ground truth dataset differed notably from SoilGrids estimation, with a Mean Absolute Deviation (MAD) of 124.0 g kg-1 and Root Mean Square Error (RMSE) of 152.5. However, the integration of machine learning algorithms, particularly the Extreme Gradient Boosting (XG Boost) algorithm, showed promising results in improving accuracy. The XG Boost algorithm exhibited a relatively low MAD of 97.9 g kg-1 for clay fractions, indicating a better approximation of observed values compared to SoilGrids. Significant percent improvements in RMSE and Mean Absolute Percentage Error (MAPE) values were observed across soil fractions and bulk density measurements, ranging from approximately 15% for clay to 35% for sand fractions and 20% for bulk density. These findings highlight the importance of integrating advanced mapping techniques and machine learning algorithms to enhance soil mapping methodologies. Moving forward, efforts to expand ground truth datasets through targeted soil sampling campaigns and develop international collaboration initiatives will be crucial for improving the accuracy and reliability of soil mapping products in the KRI. By incorporating advanced mapping approaches, we can better support sustainable land management practices and environmental conservation efforts in the region.

Advanced ERT techniques for methane potential evaluation in controlled dump sites: A forward modeling approach

Methane (CH4) emissions from large controlled dump sites play a significant role in global warming. However, when captured efficiently, CH4 is a valuable energy resource. This study optimizes electrical resistivity tomography (ERT) for improved CH4 detection in controlled dump sites, focusing on refining electrode array configurations. We assessed three configurations: dipole-dipole, Wenner-Schlumberger (WS), and Wenner arrays. The results were compared with synthetic data simulated using the forward modeling technique, and the model's accuracy was evaluated using the Nash-Sutcliffe model efficiency coefficient (NSE), model sensitivity, and root mean square error (RMSE). Additionally, we analyzed the model's correlation with CH4 flux measurements. The WS array demonstrated the best performance, achieving a lower RMSE (23.4 %), a higher NES (0.90), and model sensitivity (0.90), along with a moderate negative correlation (-0.50) with CH4 flux measurements. This configuration effectively identified subsurface features, such as organic waste layers and leachate zones, which are crucial for CH₄ capture and landfill gas collection. Forward modeling confirmed the WS array's ability to provide high-resolution subsurface imaging, enhancing CH₄ hotspot detection. By improving the spatial and temporal accuracy of CH₄ detection, this approach addresses limitations in traditional methods and supports the design of more efficient gas capture systems. Applied in Thailand, these findings highlight the potential of optimized ERT techniques for enhancing CH₄ recovery in waste-to-energy systems, contributing to more sustainable waste management practices and reducing greenhouse gas emissions.

Bamboo Forests: Unleashing the Potential for Carbon Abatement and Local Income Improvements

Bamboo forests exhibit a unique efficient growth pattern that makes them invaluable in reducing atmospheric CO2 levels. Additionally, bamboo forests offer a diverse range of products, thus holding the potential to bolster local income. Despite these benefits, the comprehensive assessment of bamboo forests’ potential in both carbon abatement and improving local income enhancement has been hindered by the absence of a detailed bamboo biomass map. In this study, we address this gap by amalgamating a bamboo aboveground biomass (AGB) map covering three prominent producing provinces in southern China, utilizing multi-source remote sensing datasets. The results not only demonstrate a satisfactory consistency with China’s Ninth National Forest Inventory but also provide a more detailed spatial distribution. Based on this AGB estimation, we project an approximately threefold potential increase in annual bamboo culm harvest from existing bamboo forests. This represents a significant opportunity for expanding carbon abatement efforts, elevating local income levels, and facilitating the production of bamboo-derived biofuels. Furthermore, the adoption of an optimized management strategy has the potential to further enhance bamboo production. This study generates the first high-resolution bamboo AGB map and underscores the substantial potential of China’s bamboo forests in contributing to carbon sequestration and improving local income. The favorable income generated for local residents can serve as a compelling incentive for the implementation of sustainable forest management practices, offering a promising pathway toward achieving carbon-related objectives within the forestry sector and providing necessary support for forestry designation projects.

Effects of tree species identity on soil microbial communities in Juglans nigra and Quercus rubra plantations.

Understanding how different tree species affect soil microbial communities is crucial for sustainable forestry and ecosystem management practices. Despite Black walnut (Juglans nigra L.) forestry having a rich history, the overall comprehension of how this hardwood species influences soil remains incomplete. In earlier studies, we examined the effects of hardwood plantations on soil chemical properties and their interaction with microbial biomass, however, we highlight the importance of studying the soil microbial communities and their relationship with soil properties in greater depth. Building on this foundation, our research focused on evaluating microbiome compositions beneath J. nigra and another hardwood, Northern red oak (Quercus rubra L.) after a decade of establishment. We uncovered intriguing patterns within the soil bacterial/archaeal and fungal structures by conducting meticulous analyses utilizing amplicon sequencing alongside soil chemical properties. Our findings underscore that tree species play a pivotal role in shaping soil microbial structures, a role that surpasses even seasonal and depth influences. Most notably, J. nigra stands out for its ability to enhance microbial diversity, as evidenced by increased alpha-diversity indices compared to baseline values. Conversely, Q. rubra tends to decrease these indices. Significant disparities in microbial composition between the two tree species were evident, with J. nigra exhibiting enrichment in certain taxa such as Nitrospira, Geobacter, and Bacillus while Q. rubra showed enrichment in others like Acidobacteriota and ectomycorrhizal fungi. Furthermore, we also observed differences in co-occurrence networks by delving deeper into the interconnections within the soil microbiota. In both fungal and bacterial/archaeal communities, J. nigra and Q. rubra notably decreased the number of connections within their networks, while Q. rubra increased some, suggesting a more interconnected network. These differences were further highlighted by network metrics with Q. rubra displaying a higher mean degree and clustering coefficient. Additionally, our analysis revealed that tree species influence soil chemical properties, either directly or indirectly, thereby affecting soil bacterial and fungal communities. In conclusion, our study elucidates the intricate interplay between tree species and soil microbiota, emphasizing the need to consider these relationships in forestry and ecosystem management practices.

The impact of pesticides: Assessing residue persistence, environmental contamination, and human health risks

The intensification of agricultural practices to meet global food demand has led to extensive pesticide use, which poses significant challenges for food safety, environmental health, and human well-being. This narrative review provides a comprehensive analysis of the global use of pesticides in agriculture, focusing on the persistence of pesticide residues in food crops, their environmental impacts, and the associated health risks. Historically, pesticides have been integral to agricultural productivity, but their adverse effects have become increasingly clear. Notably, pesticide residues in food can pose serious health risks, particularly to vulnerable populations such as children and pregnant women. This review also discusses regional disparities in pesticide-related health outcomes, with a focus on Brazil. The findings underscore the urgent need for sustainable pest management practices, including organic farming and improved regulatory measures, to mitigate the adverse effects of pesticide use. By integrating these strategies, a more balanced and sustainable agricultural system can be achieved, safeguarding both human health and environmental quality.

Sustainability in sustainability certifications in Thai hotel industry

Thailand is actively working to position itself as a sustainable tourism destination, with sustainability embedded within the nation’s tourism industry framework. Assessment and certification play pivotal roles, serving as essential tools that validate the implementation of sustainable management practices within the accommodation sector. This article explores the concept of sustainable tourism through the lens of widely adopted certifications in Thailand’s hotel industry. A content analysis was conducted to compare certifications based on the Global Sustainable Tourism Council (GSTC) criteria. Furthermore, the study evaluated the efficacy of certifications in promoting the practical integration of sustainable tourism. To deepen the analysis, a thematic review examined the extent to which these certifications integrate principles of Environmental Management Systems (EMSs). The findings highlight a tendency of certification organizations to prioritize environmental aspects over economic and social dimensions. This suggests a need for better alignment in facilitating the holistic integration of sustainable tourism principles into certification practices.

EVALUATION OF DEFORESTATION IN THE MUNICIPALITY OF BRASIL NOVO IN THE STATE OF PARÁ - BRAZIL, USING MACHINE LEARNING TECHNIQUES

The agricultural frontier of the Brazilian Amazon, is undergoing significant changes in its land cover, primarily driven by the expansion of cattle ranching and cocoa cultivation. Through the analysis of Landsat 8 satellite images and the WorldCover 10m 2020 product, combined with climatic and socioeconomic data, this study investigated land use dynamics between 2015 and 2023, on the municipality of Brasil Novo. The results revealed a substantial reduction in forest cover, with the expansion of pasturelands as the main driver of deforestation. The temporal analysis of the Normalized Difference Vegetation Index (NDVI) indicated interannual variations in vegetation cover, associated with extreme weather events and anthropogenic pressure. Although the municipality still maintains 43.8% of forest cover, with the Arara Indigenous Land being a notable example, the pressure on natural resources demands the implementation of public policies and sustainable management practices to mitigate environmental impacts and ensure the conservation of Amazonian biodiversity. Keywords: Amazon, NDVI, remote sensing, climate change, livestock, land use.

Critical factors to adopt sustainable agrifood supply chain management in developing countries: The case of Ethiopian coffee industry

AbstractGlobal agrifood supply chains are under increasing pressure to address sustainability issues due to growing concerns. However, numerous organizations within the agrifood industry are struggling to incorporate sustainable supply chain management practices and address the concerns. Therefore, this research is designed to identify the key critical factors, such as drivers, enablers, and barriers to adopting sustainable practices. This study considers the Ethiopian coffee industry, which is an important sector not only for the Ethiopian economy but also for the global agrifood supply chain. To accomplish the objectives of this study, we applied a systematic literature review and empirical survey. A systematic literature review was conducted to identify critical factors for adopting sustainability in agrifood supply chains. An empirical survey was then undertaken in the Ethiopian coffee industry to rank the key critical factors. Hence, the study has revealed that economic and productivity improvement, cost effectiveness and improvement in the overall performance, and difficulty in mindset and cultural changes as the key critical factors that determine the adoption of sustainability initiatives from the perspectives of the Ethiopian coffee supply chain. The findings can be used as input by government regulatory bodies and policymakers to craft strategies and policies to adopt sustainability initiatives and ensure sustainable development. Furthermore, the research is expected to contribute to the existing literature by bringing in the perspective of suppliers in developing countries.

Technosols Made from Iron Mine Tailings and Construction and Demolition Waste as an Alternative for Sustainable Solid Waste Management

ABSTRACTBrazil faces urgent environmental challenges due to large waste production from mining and construction activities particularly regarding the disposal and management of the solid waste generated by these activities. The extraction of iron ore and the storage of tailings in dams, most of which are at imminent risk of rupture, represent foretold environmental disasters. Additionally, the disposal of construction waste raises environmental concerns due to the decreasing vailability of inert landfill space. To address these challenges, we evaluated the potential of Technosols made from construction and demolition waste (CDW) and iron mining tailing (IMT) in different proportions (60:40, 70:30, 80:20, and 100% of IMT and CDW, respectively) to support grass development. The Technosols were compared to a natural soil (Haplic Ferralsol). The soils were cultivated with Urochloa brizantha cv. Marandu in a field experiment conducted for 120 days. At the end of experiment, soil samples were collected and analyzed their chemical, physical, and mineralogical attributes, while plants were analyzed for dry biomass. Plants cultivated in Technosols exhibited dry biomass production 3.3‐fold (825 ± 270 g) greater than those cultivated in the natural soil (251 ± 77 g). Higher biomass production in the Technosols, especially in the TEC70:30, was associated with the favorable chemical conditions of these soils, such as slightly neutral pH (~7.5), higher cation exchange capacity (68.1 ± 12.4 mmol dm−3) and nutrient availability, especially Ca and P (57.8 ± 0.8 and 28.2 ± 0.4 mmol dm−3, respectively). These results aim to provide insights for the effective use of different Technosols in mitigating environmental impacts and promoting sustainable land and waste management practices, primarily to prevent future environmental disasters.

Learning organizations and sustainability outcomes in tourism: the mediating role of sustainable practices

Purpose This study aims to investigate the influence of learning organization characteristics on sustainability outcomes in the tourism sector, with a specific focus on sustainable tourism practices. It seeks to gain insights into how organizations in the tourism industry contribute to sustainability efforts. Design/methodology/approach This research used a survey method to gather data from employees working in five leading Indian tourism companies. The study was designed based on the theoretical frameworks of triple bottom line theory and organizational learning theory, with quantitative analysis conducted using structural equation modeling through Smart PLS 4 software. Findings This study reveals that learning organizations play a crucial role in promoting sustainable practices and yielding positive sustainability outcomes in the tourism sector. The results demonstrated significant positive relationships and mediation effects, highlighting the substantial impact of learning organization characteristics on enhancing sustainability efforts within the industry. Research limitations/implications This study’s findings provide actionable insights for refining organizational strategies and formulating policy recommendations to strengthen sustainability initiatives within the tourism sector. In addition, this research contributes valuable knowledge to the expanding field of sustainable tourism management and best organizational practices. Originality/value This study contributes to the field by offering empirical evidence on the interplay between learning organization characteristics, sustainable tourism practices and sustainability outcomes within the tourism sector. Its focus on addressing sustainability challenges in this industry context provides valuable insights for industry stakeholders and policymakers, guiding them in formulating effective strategies and decisions to enhance sustainability efforts.

Impacts of Land Use and Land Cover Change on Non-Point Source Pollution in the Nyabarongo River Catchment, Rwanda

The Nyabarongo river catchment in Rwanda has experienced significant changes in its land use and land cover (LULC) in recent decades, with profound implications for non-point source pollution. However, there are limited studies on non-point pollution caused by nutrient loss associated with land use and land cover changes in the catchment. This study investigates the spatiotemporal impacts of these changes on water quality considering nitrogen and phosphorus within the catchment from 2000 to 2020 and 2030 as a projection. The SWAT model was used in analysis of hydrological simulations, while the CA–Markov model was used for the future projection of LULC in 2030. The results revealed (1) the important changes in LULC in the study area, where a decrease in forestland was observed with a considerable increase in built-up land, grassland, and cropland; (2) that the R2 and NSE of the TN and TP in the runoff simulation in the catchment were all above 0.70, showing good applicability during calibration and validation periods; (3) that from 2000 to 2020 and looking to the projection in 2030, the simulated monthly average TN and TP levels have progressively increased from 15.36 to 145.71 kg/ha, 2.46 to 15.47 kg/ha, 67.2 to 158.8 kg/ha, and 9.3 to 17.43 kg/ha, respectively; and (4) that the most polluted land use types are agriculture and urban areas, due to increases in human activities as a consequence of population growth in the catchment. Understanding the patterns and drivers of these changes is critical for developing effective policies and practices for sustainable land management and protection of water resources.

The adoption of Best Management Practices: empirical evidence from oil palm farming in rural Ghana

ABSTRACT Purpose We examine how farmer characteristics, farm, institutional, perception and shock factors influence the adoption of the Best Management Practices (BMPs). A thorough understanding of how relevant drivers affect the adoption decision of diverse BMPs can contribute to the development of evidence-based policies. Approach We use a household survey of 1031 smallholder oil palm farmers in the forest zones of Ghana to assess the determinants of farmers’ adoption decisions. We employ a seemingly unrelated regression (SUR) model after a principal component analysis is used to extract five latent components. Findings Our findings indicate that different farmer characteristics, farm, institutional, perception and shock factors have differential associations with the adoption of diverse BMPs. Key among these are the positive perception of BMPs, access to mills, perception of soil fertility and pests and diseases. Practical implications Specific BMPs must be tailored to meet the prevailing individual socio-economic characteristics and challenges of farmers to facilitate their adoption and scale-up. Educational programmes and dissemination of information by extension agents and research institutions are needed in the promotion of BMPs to enhance effective uptake. Theoretical implication The paper contributes to the growing literature especially on the uptake of diverse management practices, utilizing both behavioural and socio-economic theories underpinning adoption, thus providing empirical evidence that adoption is influenced by both behavioural and socio-economic factors. Originality/value In the bid to increase agricultural productivity, while preserving ecosystem services, the adoption of sustainable management practices remains key for all stakeholders and policy makers. This paper presents credible information for policy makers in Ghana and Africa in designing polices to influence their adoptions.

Exploring Trends in Transportation Management: A Review of Scientific Papers on Dimension AI Database from 2020-2024

This qualitative study explores contemporary trends and advancements in sustainable transportation management practices, focusing on articles published between 2020 and 2024 and sourced from sustainability journals. A comprehensive search strategy using the Dimension AI database with the keywords "Transportation" and "Management". Articles were first screened by their title, abstract, and keywords, from which 63 manuscripts were chosen for thematic analysis. The key findings were the importance of sustainable traffic management systems, including congestion measures, infrastructure resilience, and environmental impact assessment. Another strand that emerged was data-driven approaches for smart city traffic management, which included novel techniques for effective decision-making. The study has especially highlighted the requirements of strategies that would set up the innovation in modeling techniques and resilience frameworks for transportation management. This study offers significant insight into modern trends in sustainable transportation management, which should be of immense value to policymakers, urban planners, and transportation professionals in seeking ways to overcome the problems associated with modern urban mobility while ensuring environmental sustainability.

Biological two-stage treatment technology for mitigating mining-related heavy metal pollution in Georgian rivers

ObjectivesThe study aimed to investigate heavy metal contamination (copper, arsenic, manganese) in Georgian rivers affected by mining and develop a two-stage water purification technology using Spirulina (Arthrospira platensis) and trehalose lipid (TRL). This technology offers a sustainable and efficient solution to mitigate environmental and health hazards from mining-related pollution, improving river ecosystems and public health.Data DescriptionThis study examines the current state of the Kvirila, Lukhuni, Kazretula, and Mashavera rivers in terms of heavy metal pollution. Data were collected from field application of a two-stage purification process. Initial assessments showed heavy metal concentrations exceeding local regulatory limits (საქართველოს საკანონმდებლო მაცნე. გარემოსდაცვითი ტექნიკური რეგლამენტების დამტკიცების თაობაზე. Environmental Technical Regulations Approval. www.matsne.gov.ge/en/document/view/2196792?publication=0&scroll=0. Accessed 22 Aug 2024.). The purification process involved a 72-h incubation in a primary tank, followed by membrane filtration and the addition of biomass with trehalose lipid (TRL) in a secondary tank. Post-treatment data revealed significant reductions in manganese and copper concentrations, bringing them below permissible thresholds. These data highlight the effectiveness of the two-stage purification technology in removing heavy metal contaminants from water sources impacted by industrial pollution. The findings demonstrate the potential of this technology to improve sustainable water management practices and provide scalable solutions for communities facing similar water quality challenges.

Thirty Years of Research on Ecosystem Services: The Socio-Economic Role of Forest Visits and Foraging in Enhancing Human Well-Being

This paper examines the socio-economic significance of forest visits and the collection of forest berries and mushrooms (FBMs) in the Czech Republic, emphasising their role in enhancing human well-being and contributing to regional economies. Over a 30-year period, data were collected on the quantities and economic values of FBMs, alongside the intensity of forest visits by the Czech population. This study incorporates a detailed analysis of time series data on FBM collection, exploring trends and fluctuations in the harvested quantities and their economic value. A Lorenz curve analysis reveals significant disparities in the distribution of economic benefits, with a small segment of the population accounting for the majority of the FBM-derived value. Additionally, the research investigates the impact of forest visitation on well-being at the regional level, highlighting the relationship between forest access, visitation intensity, and public health benefits. This study also examines visitors’ expectations, motivations, and perceptions regarding an ideal forest for visitation, providing recommendations for effective marketing strategies. Furthermore, the study explores the contribution of FBMs to net income across different regions, demonstrating substantial regional variation in their economic importance. Notably, the analysis shows that the value of FBMs represents approximately 37% of the net income generated by traditional forestry activities, underscoring its significant economic potential. The findings emphasise the potential of territorial marketing strategies to enhance well-being, particularly in economically disadvantaged regions, and advocate for sustainable forest management practices to protect these valuable resources and ensure equitable access to the benefits provided by forest ecosystems.

Exploring sustainable food supply chain management practices to enhance food security

Background: The food industry faces longstanding challenges in meeting sustainability practices within its supply chain, often prioritising commercial obligations and profit motives. However, there is a growing recognition of the critical role that sustainable food supply chain management (SFSCM) practices play in enhancing food security.Objectives: This study aims to establish the significance of SFSCM practices in enhancing food security. Furthermore, the study explores approaches to reduce challenges against implementation of SFSCM practices.Method: The study employed a qualitative approach and used stratified and purposive sampling techniques to interview 22 participants from a population of 9 gatekeeper institutions within the Zimbabwean food industry.Results: The findings highlighted several essential SFSCM practices covering waste management, logistics optimisation, water and energy conservation, employing qualified individuals, carbon emission reduction, corporate social responsibility, cost reduction, pricing efficiency, fair food distribution and continuous consumer taste surveys. Approaches to reduce SFSCM implementation challenges were also identified, and these include stakeholder communication plans, capacity building programmes, integrating sustainability into mission statements, budget allocation, lobbying for government support, and fostering collaborative engagements. Open information sharing was also emphasised.Conclusion: It is concluded that the adoption of identified SFSCM practices by food producers, intermediaries, suppliers, consumers and other stakeholders can significantly enhance food security and minimise hunger in nations.Contribution: This article contributes to the understanding of addressing SFSCM implementation challenges and provides valuable insights into the importance of sustainable practices in improving food security within the Zimbabwean food industry and the world at large.

Achieving Sustainability in the Management of Natural Resources Given to a Concession

The sustainable management of resources is part of the strategic objectives of the European economic policy for the transition from a linear to a circular economy. One of its aspects, at the national level, is the protection of deposits of underground wealth and mineral waters on the territory of the Republic of Bulgaria from depletion and improper exploitation. The purpose of the article is to present the main requirements for the users of this type of natural resources when granting concessions by the state, in order to determine whether there are mechanisms for achieving sustainability in their management. By studying the current legislation and analyzing data from the National Concession Register, the most frequently used practices for sustainable management of these valuable resources used for economic purposes are presented: establishment of environmental requirements; limiting the rights to extract and exploit the deposits to predetermined limits and volumes, for a certain period of time; requirements for preparation of work plans, reports and reporting documentation; delivery of the concession object in a condition suitable for subsequent operation; requirements for reclamation, enhanced administrative control, which covers the entire project cycle of realization of investments in the extraction of this type of resources, etc. As a result of the study, the article formulates recommendations for expanding the sustainability requirements and strengthening the control in their application. This will ensure a wider time horizon for their economic exploitation and will contribute to achieving one of the EU’s fundamental goals: to ensure suitable conditions for economic growth for future generations without resource dependence.