Global Population Growth Research Articles

Properties analysis of refugee populations around the world: A visibility graph network approach

The refugee problem is one of the most important issues facing the international community today. It not only troubles the countries where refugees are generated but also has a great impact on the countries where refugees are influx. With the continuous development of globalization, the refugee problem is no longer a problem of a country or a region, but a global problem faced by the international community. To cope with the global refugee problem, this paper analyzes the number of refugees in 156 countries from 1990 to 2020 and transforms the refugee population data of these countries into a complex network through a time series visibility graph (VG) method. First, we categorize the income level of 156 countries and analyze the impact of income level on the increase of refugee numbers. Then, the evaluation index of the number of refugees is obtained through the VG method. Finally, a TOPSIS comprehensive evaluation method based on the entropy weight approach is employed to analyze the data. This paper includes two main contributions. First, the application of the VG method provides a new perspective for enriching the modeling of the global refugee population growth trend. Second, this paper shows that the TOPSIS evaluation method based on the entropy weight method is effective, which provides a new method for further research on the global refugee population growth trend.

Contribution of Exogenous Proline to Abiotic Stresses Tolerance in Plants: A Review.

Abiotic stresses are the major environmental factors that play a significant role in decreasing plant yield and production potential by influencing physiological, biochemical, and molecular processes. Abiotic stresses and global population growth have prompted scientists to use beneficial strategies to ensure food security. The use of organic compounds to improve tolerance to abiotic stresses has been considered for many years. For example, the application of potential external osmotic protective compounds such as proline is one of the approaches to counteract the adverse effects of abiotic stresses on plants. Proline level increases in plants in response to environmental stress. Proline accumulation is not just a signal of tension. Rather, according to research discussed in this article, this biomolecule improves plant resistance to abiotic stress by rising photosynthesis, enzymatic and non-enzymatic antioxidant activity, regulating osmolyte concentration, and sodium and potassium homeostasis. In this review, we discuss the biosynthesis, sensing, signaling, and transport of proline and its role in the development of various plant tissues, including seeds, floral components, and vegetative tissues. Further, the impacts of exogenous proline utilization under various non-living stresses such as drought, salinity, high and low temperatures, and heavy metals have been extensively studied. Numerous various studies have shown that exogenous proline can improve plant growth, yield, and stress tolerance under adverse environmental factors.

Sol-gel derived silica: A review of polymer-tailored properties for energy and environmental applications

With the continuous growth in global population, energy demands are summoning the development of novel materials with high specific surface areas (SSA) for energy and environmental applications. High-SSA silica-based materials, such as aerogels, are highly popular as they are easy to form and tune. They also provide thermal stability and easy functionalization, which leads to their application in batteries, heavy metal adsorption, and gas capture. However, owing to large pore volumes, high-SSA silica exhibits weak mechanical behavior, requiring enhancement or modification to improve the mechanical properties and make them viable for these applications. The creation of macropores in these mesoporous solids is also desirable for applications utilizing membranes. To facilitate research in these critical areas, this review describes the research into sol-gel formation of silica, as well as polymer-based tailoring carried out in the last decade. Additionally, this review summarizes applications of polymer-tailored high-SSA silica materials in the energy and environmental fields and discusses the challenges associated with implementing and scaling of these materials for these applications. • Polymers are used to tailor the properties of sol-gel derived high specific surface area silicates. • Polymers can be incorporated into silica to improve the mechanical durability. • Polymers can be used as porogens to tailor the microstructure (meso- and macropores). • High specific surface area silicates are used for energy storage and environmental remediation.

Developing future visions for bio-plastics substituting PET – A backcasting approach

The demand for plastics far exceeds that for any other bulk material and is expected to grow further due to global economic and population growth. Packaging is by far the largest end-user segment for plastics. Interest in bioplastics is increasing as public awareness of plastic waste accumulation in natural environments increases. 2,5-Furandicarboxylic acid (FDCA) is the key monomer in the production of polyethylene 2,5-furandicarboxylate (PEF), a polymer that offers a sustainable solution to replace the commonly used polymer polyethylene terephthalate (PET). A backcasting workshop with 42 experts was held to identify current barriers and challenges that block the commercialization of FDCA-based products and to outline potential pathways toward future market diffusion. Several barriers which are strongly related to technological and market-related aspects are preventing the full potential of FDCA from being unlocked. FDCA products cited in the literature are versatile and cover a wide array of niche applications. In the backcasting workshop, participants described their specific – yet highly divergent – future visions for PEF. Participants with a background in FDCA production referred mostly to developments that would need to take place in the field of FDCA applications to turn their vision into reality, while participants with a background in FDCA product development tended to refer to open issues related to FDCA synthesis. The findings of this study indicate that there is a great need for intensified cross-disciplinary communication and collaboration.

The Global Rise of Diabetes – Time to Think Seriously About Environmental Toxicants as Risk Factors for Development of the Disease

It is now estimated that the number of people living with diabetes worldwide in 2045 will be approximately 783 million, rising much faster than the global population growth of about 20%. In addition to the traditional known host risk factors (life-style changes associated with urbanization, physical inactivity, obesity and aging), it is probably prudent to begin to give serious thought to exposure to environmental toxicants, either because of mere geographical location or because of human industrial activity, as possible significant contributors. This knowledge could raise awareness while prompting us to find new ways to protect people and the environment.

Analysis of the Effectiveness of Green Waste Composting under Hyperbaric Conditions

Increasing global population growth has a significant impact on waste production. The European Union (EU) focuses on waste recycling, biological treatment, and reuse. In the case of biodegradable waste, a significant problem is the long process of material decomposition so that the product meets the requirements of national regulations and EU directives. The search for a way to accelerate this process is still ongoing. This study presents the composting process of green waste under hyperbaric conditions. Eight experiments, four with air exchange frequency tAE = 4 h and four experiments with tAE = 8 h were established. The experiments were conducted in four variants: 0 (atmospheric pressure) and overpressures 50, 100, and 200 kPa. They were carried out on the same input material characterized by the initial moisture content of 60% and a mass of 2000 g. During the composting of green waste, all parameters of the obtained product (moisture content, pH, loss on ignition (LOI), C:N ratio, nutrient content (P, K), and the respiratory activity of microorganisms (AT4)) were also evaluated. The most significant weight loss of the composted material was observed in the variant of an overpressure of 200 kPa (tAE = 4 h). The compost weight in relation to the original material decreased by 23.7%. The highest organic matter removal efficiency was obtained for the overpressure variants of 50 and 100 kPa (tAE = 4 h).

Optimization of biochar systems in the water-food-energy-carbon nexus for sustainable circular agriculture

The increasing pressures of global warming, population growth and epidemic occurrence are causing challenges in meeting the growing requirements for water, energy and food. In particular, the contradiction between the supply and demand for water, food, and energy is exacerbated by inefficient resource utilization and carbon emission increase. Incorporation of the interlinked aspects of water, energy, food and carbon emissions from agricultural systems into one water-food-energy-carbon nexus facilitates integrated resource management. Biochar application to farmland is a potential strategy for carbon management and agricultural productivity improvement. The integration of biochar systems and the water-food-energy-carbon nexus is an efficient and coordinated alternative method for sustainable agricultural management and a crucial strategy for addressing water, energy and food security issues. Accordingly, this paper proposes an approach for the synergistic regulation of water, land, energy, and carbon emissions in a circular agricultural system by balancing water supply and demand, land allocation, electricity consumption, and economic upgrading principles. A two-stage circular agriculture framework is constructed, with biochar and electricity generated from agricultural residues at the first stage and employed at the second stage. Economic-environmental-energy harmonization is considered in the methodology, and the agrotechnical potential of biochar is quantified via crop yield increase and greenhouse gas emission reduction functions. This approach can assist decision makers in providing the best policy options given certain agricultural resources to achieve the maximum economic performance of the system while minimizing environmental side effects. In this paper, the model framework is applied to the Sanjiang Plain in northeastern China to verify the feasibility of the approach. The results indicate that the external electricity demand is reduced by 87.8% due to the generation of biofuels. Cropland greenhouse gas emissions are reduced by 34.09%–67.06% via the application of biochar. This study proposes an optimization method with important implications for the improvement of regional cropland management techniques and development of sustainable circular agriculture. This methodology can be extended to other agriculture-centered regions with limited resources and environmental problems.

Failure probability of offshore high-density polyethylene net cages under typhoon waves

With the growth of global population, the demand for seafood has been increasing. Aquaculture as a sustainable industry provides a new direction to satisfy the rising demand for seafood. However, typhoons, a common disaster in coastal areas, can cause massive waves that can threaten the safety of aquaculture facilities. Therefore, studying the facilities’ failure probability under typhoon waves with different return periods is crucial. The example of offshore high-density polyethylene net cages in the seas near Guishan Island, Zhuhai, China, was examined in this study. The wave conditions for different return periods for these seas were predicted using the SWAN+ADCIRC model and the local wave statistics for the last 30 years. Based on the prediction results, the hydrodynamic loads and stresses of the primary cage structure (floating collar, nets, and mooring lines) in typhoon waves at different return periods were calculated using the lumped-mass and finite element methods. Meanwhile, the failure probability of the cage components was analyzed based on the Monte Carlo method. According to the failure probability and cost of different components, the suitable size of the each of the cage components in the representative seas was studied. This study affords a reference for the design of the cage and improve the aquaculture insurance.

A Review of Organic Waste Treatment Using Black Soldier Fly (Hermetia illucens)

The increase in solid waste generation is caused primarily by the global population growth that resulted in urban sprawl, economic development, and consumerism. Poor waste management has adverse impacts on the environment and human health. The recent years have seen increasing interest in using black soldier fly (BSF), Hermetia illucens, as an organic waste converter. Black soldier fly larvae (BSFL) feed voraciously on various types of organic waste, including food wastes, agro-industrial by-products, and chicken and dairy manure, and reduce the initial weight of the organic waste by about 50% in a shorter period than conventional composting. The main components of the BSFL system are the larvero, where the larvae feed and grow, and the fly house, where the adults BSF live and reproduce. It is essential to have a rearing facility that maintains the healthy adult and larval BSF to provide a sufficient and continuous supply of offspring for organic waste treatment. The BSF organic waste processing facility consists of waste pre-processing, BSFL biowaste treatment, the separation of BSFL from the process residue, and larvae and residue refinement into marketable products. BSFL digest the nutrients in the wastes and convert them into beneficial proteins and fats used to produce animal feed, and BSFL residue can be used as an organic fertilizer. This review summarizes the BSFL treatment process to provide an in-depth understanding of the value of its by-products as animal feed and organic fertilizer.

Age related increase in impairment across the life course: the use of Zomba curves to estimate assistive technology needs in Malawi

Purpose Global population growth and increasing longevity means that the need for Assistive Technology (AT) will continue to increase. The level of unmet need for AT is greatest in low-income settings. The aim of this study is to identify age-related increase in impairment and to estimate the AT needs. Materials and Methods We analysed secondary data from the 2018 Malawi Population and Housing Census (MPHC) based on the Washington Group on Disability Statistics (WG) short-set of questions. Results Out of the 1,556,670 persons with one or more functional limitations or disabilities identified in the census, self-reported difficulties in all domains were markedly higher from age 40 and above. The proportion reporting one functional limitation is higher compared to two or more limitations, but at age 78–80 the proportion reporting two or more functional limitations increased above those reporting one functional limitation. Although 60.9% (60.7–61.0) and 63.5% (63.3–63.6) of those who reported difficulty in seeing and hearing were using glasses and hearing aids respectively, the estimated total need for glasses and hearing aids in this group was 98.9% (98.0–99.0) and 98.4% (98.3–98.5) respectively. The unmet need for glasses and hearing aids were therefore 38.1% and 34.9% respectively. Conclusion The differential slope of impairment curves against age is a guide to the increasing demand for AT across the life course and across different domains of functioning. Country specific analysis of impairment across age and domains is essential to understand and plan for the growing need for AT globally. IMPLICATIONS FOR REHABILITATION It is important to estimate and plan for impairment across life course to address the age-related increase in impairment and the increasing need for AT with age. The Zomba curves show the cumulative nature of impairment with age and the need for age and need specific provision of AT across the life course through proactive policy level actions. The significant high unmet need for glasses and hearing aids attests to similar need for other assistive products and the need for setting specific interventions to address needs of affected persons. The differential slope of impairment curves against age is a guide to the differing and increasing demand for assistive technology across the life course and across different domains of functioning

Purification of novel polypeptides from bee pupae and their immunomodulatory activityin vivo andin vitro

Edible insects have been proposed as an understudied food whose cultivation could be increased with global population growth. However, the bioactivators and bioactivities of bee pupae are poorly studied. In this paper, the active ingredients of bee pupa powder were analysed, and novel bee pupa polypeptides (BPP) were obtained through protein hydrolysis with alkaline protease. Two purified polypeptide components (BPP-21 and BPP-22) were isolated and purified on a diethylaminoethyl-sepharose fast flow column and a Sephadex G-25 column, and identified using size exclusion chromatography-high performance liquid chromatography and amino acid composition analyses. Due to its higher cell proliferation activity, BPP-22 was selected for further study of its immunomodulatory activity and mechanismin vivo andin vitro. The analysis of immunomodulatory activity showed that BPP-22 significantly increased the body weight growth rate, organ index, macrophage phagocytosis, delayed-type hypersensitivity reaction, cytokine level (interleukin (IL)-2 and interferon (IFN)-γ), immunoglobulin (Ig) levels (IgA, IgG, and IgM), and routine blood indexes in cyclophosphamide-treated immunosuppressed mice (P<0.01). Mechanistic research in RAW264.7 cells showed that BPP-22 might promote the secretion of cytokines (IL-2, tumour necrosis factor-α and IFN-γ) and the production of nitric oxide by increasing homologous mRNA expression and could exert immunomodulatory activity by increasing the phosphorylation of ERK and p38, and modulating the expression of intranuclear transcription factors (EIK-1, MEF-2 and CREB) in the MAPK signalling pathway. These findings are helpful for promoting the application of bee pupae as potential immunomodulatory agents and protein supplements.

Exploring an alternative to the Chilean textile waste: A carbon footprint assessment of a textile recycling process

Global population growth and rising living standards are increasing apparel consumption. Consequently, the consumption of resources and the generation of textile waste are increasing exponentially. For instance, according to the World Bank, Chile has increased textile imports by 500% in the last 20 years, even though the population has only increased by 26%. This textile import increase has resulted in the clothing desert that has been seen recently in northern Chile because most of the textiles at the end of their useful life will be disposed of in landfills or open dumps. This evidences the urgency of more efficient technologies that reduce the consumption of resources and that value waste on the way to a circular and sustainable economy. Since the textile recycling industry and environmental impact studies are currently in their nascent stages in Chile, the objective of this article is to explore the potential environmental benefits of a textile recycling process and, therefore, the related challenges towards more sustainable options. The considered textile recycling process incorporates mixed waste and is compared with landfills in terms of CO2eq because it represents the conventional treatment of waste and the substitution of products from primary sources. The results show that textile waste landfills emit 423.4 kg CO2eq per ton, while products from primary sources emit an average of 6496.65 kg CO2eq, compared to the textile recycling process that only it emits 1142.12 kg CO2eq per ton, obtaining an average of 5778 kg CO2eq avoided per ton of textile waste, achieving environmental benefits. However, it is necessary to highlight the dependence of this result on the choice of replaced products and the energy matrix. Thus, we assessed the energy matrix, evaluating the positive impact of implementing an energy matrix based on wind or solar energy.

Prediction of electricity energy consumption including COVID-19 precautions using the hybrid MLR-FFANN optimized with the stochastic fractal search with fitness distance balance algorithm.

The increase in energy consumption is affected by the developments in technology as well as the global population growth. Increasing energy consumption makes it difficult to ensure electrical energy supply security. Meeting the energy demand can be achieved with the right planning. Proper planning is critical for both economical use of resources and low cost for the end consumer. On the other hand, erroneous estimation of demand may cause waste of resources and energy crisis. Accurate estimation is possible by accurately modeling the factors affecting electricity consumption. Apart from known factors such as seasonal conditions, days of the week and hours, modeling in extreme events such as pandemics that affect all our behaviors increases the success in modeling the future projection. This ensures that the security of electrical energy supply is carried out effectively with limited resources. For this purpose, in this study, a hybrid multiple linear regression‐feedforward artificial neural network (MLR‐FFANN) based algorithm model was proposed, taking into account the estimated impact of the COVID‐19 pandemic on the energy consumption values of Bursa, an industrial city in Turkey. The aim of the hybrid MLR‐FFANN approach was to simultaneously optimize the β polynomial for multiple linear regression and the weight and bias coefficients for the forward propagation neural network using the adaptive guided differential evolution, equilibrium optimizer, slime mold algorithm, and stochastic fractal search with fitness distance balance (SFSFDB) optimization algorithms. The success of the model whose parameters were optimized using the optimization algorithms was determined according to mean absolute error, mean absolute percentage error, and root mean square error evaluation criteria and statistical analysis of these results. According to the results of the analysis, the MLR‐FFANN approach whose parameters were optimized with the SFSFDB algorithm was more successful in the training of the dataset containing the COVID‐19 precautions.

Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways

Land use change driven by human activities plays a critical role in the terrestrial carbon budget through habitat loss and vegetation change. Despite the projections of the global population and economic growth under the framework of the Shared Socioeconomic Pathways (SSPs), little is known of land use/cover change (LUCC) at a fine spatial resolution and how carbon pools respond to LUCC under different SSPs. This study projected the future global LUCC with 1 km spatial resolution and a 10-year time step from 2010 to 2100 and then explored its direct impacts on aboveground biomass carbon (AGB) under SSPs. Scenario SSP3 yields the highest global cropland expansion, among which approximately 48% and 46% is expected to be located in the current forest land and grassland, respectively. Scenario SSP1 has the largest forest expansion and is mainly converted from grassland (54%) and cropland (30%). Due to the spatial change in land use/cover, global AGB loss is expected to reach approximately 3.422 Pg C in 2100 under scenario SSP3 and increases by approximately 0.587 Pg C under scenario SSP1. Africa is expected to lose 30% of AGB under the scenario SSP3. Aboveground biomass in Asia will fix 0.774 Pg C to reverse the AGB loss in 2100 under scenario SSP1. The global carbon loss estimated by the land use products with 10 km and 25 km resolution are less than that with 1 km by 1.5% (ranging from −11.2% in Africa to +34.0% in Oceania) and 2.9% (ranging from −11.8% in Africa to +24.0% in Oceania), respectively. These findings suggest that sufficient spatial details in the existing SSP scenario projections could reduce the uncertainties of AGB assessment, and reasonable land use development and management is a key measure to mitigate the negative impacts of LUCC on the biomass carbon pool.

Overcoming Technical and Market Barriers to Enable Sustainable Large-Scale Production and Consumption of Insect Proteins in Europe: A SUSINCHAIN Perspective.

Simple SummaryInsects are increasingly being used in Europe as a new or alternative source of protein for both direct human consumption and ingredients for feed and food production. Upscaling edible insect production and processing to a sustainable industrial sector is critical to supply the market and meet the foreseen future demands. In a market where transition to more sustainable protein sources is one of the primary challenges, sustainable insect products can contribute to a circular and sustainable economy as well as food security. SUSINCHAIN (SUStainable INsect CHAIN) is a European Horizon 2020 project that aims to contribute to overcome technical and market barriers to enable sustainable large-scale production and consumption of insect proteins in Europe by generating and sharing knowledge, as well as testing, piloting, and demonstrating newly developed insect chain innovations and increasing societal engagement. This article provides an outline of the various obstacles to upscaling of the insect sector and the project’s contributions to overcome these. The project covers the topics of: market opportunities, consumer perception, optimization of insect rearing conditions and substrates, insect transportation and processing techniques, application of insect products in food and feed, food safety issues in insect production and processing, together with economic and environmental sustainability. The project’s outcomes will provide tools for scaling up and commercializing the European insect sector.The expected global population growth to 9.7 billion people in 2050 and the significant change in global dietary patterns require an increase in global food production by about 60%. The protein supply for feed and food is most critical and requires an extension in protein sources. Edible insects can upgrade low-grade side streams of food production into high-quality protein, amino acids and vitamins in a very efficient way. Insects are considered to be the “missing link” in the food chain of a circular and sustainable economy. Insects and insect-derived products have entered the European market since first being acknowledged as a valuable protein source for feed and food production in around 2010. However, today, scaling up the insect value chain in Europe is progressing at a relatively slow pace. The mission of SUSINCHAIN (SUStainable INsect CHAIN)—a four-year project which has received funding from the European Commission—is to contribute to novel protein provision for feed and food in Europe by overcoming the remaining barriers for increasing the economic viability of the insect value chain and opening markets by combining forces in a comprehensive multi-actor consortium. The overall project objective is to test, pilot and demonstrate recently developed technologies, products and processes, to realize a shift up to Technology Readiness Level 6 or higher. In addition to these crucial activities, the project engages with stakeholders in the insect protein supply chain for feed and food by living labs and workshops. These actions provide the necessary knowledge and data for actors in the insect value chain to decrease the cost price of insect products, process insects more efficiently and market insect protein applications in animal feed and regular human diets that are safe and sustainable. This paves the way for further upscaling and commercialization of the European insect sector.

Blockchain technology in food supply chains: Review and bibliometric analysis

Increase in global population growth and the consequent rise in the demand for food while ensuring quality, preventing wastage, avoiding deforestation, and carbon footprinting has put tremendous pressure on the global food supply chain (FSC). Due to fast computing facilities and availability of data, blockchain technology has emerged as a potential system that may help in developing a safe and secure FSC. Blockchain has gained significant attention among researchers worldwide, which is evident from the extensive literature generated on this subject within a span of a few years. Through this paper, the authors attempt to showcase the immense scope and significance of blockchain in FSCs by examining and analyzing the existing studies. In addition to providing an overview of the application of blockchain in FSCs, this study also discusses challenges such as scalability, interoperability, and high cost and suggests potential solutions for the existing difficulties in adopting blockchain in FSCs. Additionally, a bibliometric analysis is provided to acquaint researchers and practitioners with the structure and research trends in this area. The study found that researchers have mostly focused on the applicability of blockchain for product authentication, finance, and logistics. Further, blockchain is likely to become a dominant technology for enhancing transparency and traceability, reducing risk and, most importantly, enhancing trust among different stakeholders in the area of FSC.

Evidence based disease control methods in potato production: a systematic map protocol

BackgroundSeveral challenges, e.g. global trade, population growth, and climate change create future challenges for food production and food safety. In order to meet this, we need to secure and increase agricultural production with minimal environmental impact. Potato (Solanum tuberosum) ranks as one of the world’s most important crops for human consumption. While potato production and consumption have decreased in Europe and North America, global production has grown in the last decades due to the expansion of potato consumption in Asia. Potato is vulnerable to a wide range of pathogenic organisms, all of which can cause severe quality and yield losses. As a consequence, potato production is highly reliant on pesticide use, and this has a negative effect on the sustainability of the crop. To mitigate these problems, effective and evidence based crop protection recommendations need to be provided to growers.Methods and outputThe overarching aim of this project is to support the development of better methods of integrated pest management (IPM), as well as to identify alternative control methods for potato diseases to contribute to effective plant protection solutions and a more sustainable potato production. The specific objective of this systematic map is to provide a worldwide overview of plant disease protection measures available for potato production. All methods to control diseases within different cropping systems will be considered, such as pesticide application, biological control methods, resistant cultivars as well as disease support systems and tools for diagnosis. The systematic map will be presented as a searchable database where the volume and main characteristics of the relevant scientific literature will be described. We will identify evidence clusters and knowledge gaps in potato disease management and identify future research areas, and in this way contribute to new and innovative solutions. The map will provide important information and support for researchers and stakeholders, in particular authorities and advisory organizations. It will also help to select topics for future systematic reviews and meta-studies within potato research.

Energy Saving and Carbon Neutrality in the Funeral Industry

As a result of the global population growth since World War II, and the major impact of the COVID-19 pandemic on the increase in the number of deaths, carbon emissions resulting from cremations in the funeral industry have increased by more than initially expected. In order to achieve the goal of the Kyoto Protocol and the Paris Agreement, to reach net-zero carbon neutrality by 2050, in this study, we comprehensively examined the literature on the differences in burial methods in terms of carbon emissions, and undertook stepwise analysis of the solution’s sequence from 1990 to 2050 using the recurrence relations in the trend changes using 5-year intervals. By collecting the annual number of global deaths and calculating the average carbon emissions per death to be 245 kg, we analyzed and compared these data with the annual carbon dioxide amount and global population until 2050. In addition, the results for cremation and Cryomation were analyzed and compared to construct a model of comparative advantage. The results of this study show that Cryomation is more energy efficient and has a greater impact on carbon emission reduction than cremation because it does not require carbon emission elements such as embalming or coffins. Thus, Cryomation can effectively reduce damage to the environment. Taking appropriate strategies for the funeral industry to promote Cryomation can achieve the goals of environmental protection and sustainable development.

Airborne imaging spectroscopy for assessing land-use effect on soil quality in drylands

Global population growth has resulted in land-use (LU) changes in many natural ecosystems, causing deterioration in the environmental conditions that affect soil quality. The effect of LU on soil quality is acute in water-limited systems that are characterized by insufficient availability of soil organic resources. Thus, the main objective of this study was to assess the effects of human activities (i.e., land-uses as grazing, modern agriculture, and runoff harvesting systems) on soil quality using imaging spectroscopy (IS) in the arid regions of Israel. For this, 12 physical, biological, and chemical soil properties were selected and further integrated into the soil quality index (SQI) as a method to assess the significant effects of LU changes in an arid area in southern Israel. A flight campaign of the AisaFENIX hyperspectral airborne sensor was used to develop an IS prediction model for the SQI on a regional scale. The spectral signatures, extracted from the hyperspectral image itself, were well separable among the four LUs using the partial least squares-discriminant analysis (PLS-DA) classification method (OA = 95.31%, Kc = 0.90). The correlation was performed using multivariate support vector machine-regression (SVM-R) models between the spectral data and the measured soil indicators and the overall SQI. The SVM-R models were significantly correlated for several soil properties, including the overall SQI (R2adjVal = 0.87), with the successful prediction of the regional SQI mapping (R2adjPred = 0.78). Seven individual soil properties, including fractional sand and clay, SOM, pH, EC, SAR, and P, were successfully used for developing prediction maps. Applying IS, and statistically integrative methods for comprehensive soil quality assessments enhances the prediction accuracy for monitoring soil health and evaluating degradation processes in arid environments. This study establishes a precise tool for sustainable and efficient land management and could be an example for future potential IS earth-observing space missions for soil quality assessment studies and applications.

Production and characterization of hydrochars and their application in soil improvement and environmental remediation

• Hydrochars are rich in carbon, nutrients, and reactive functional groups. • Hydrochar characteristics are determined by HTC conditions and feedstock types. • Hydrochars improve the physical, chemical, and biological property of degraded soil. • Hydrochars containing abundant nutrients could be used as slow release fertilizers. • Hydrochar remediates water and soil pollutions due to its high adsorption capacity. With the rapid global population growth and industrial development, the promotion of sustainable agricultural production and environmental conservation has attracted great public and research interests. Application of carbonaceous materials (e.g., activated carbon, biochar, and hydrochar) for soil improvement and environmental remediation is highly recommended because of their economic viability and applicability. Hydrochars, carbonaceous solid materials with unique physicochemical properties and produced by hydrothermal carbonization (HTC) of biomass, have received wide attention due to their increasing applications as soil amendments, slow-release fertilizers, adsorbents, and energy sources. This review highlights the production of hydrochars from dry and wet feedstocks and summarizes the physicochemical properties including surface structure, porosity, nutrient content, and stability. Applications of hydrochars for soil improvement and environmental remediation are systematically analyzed and reviewed on the aspects of improving soil physicochemical and biological properties, affecting greenhouse gas emission, and remediating heavy metals and organic pollutants in water and soil environments. Finally, the knowledge gaps in the production, characterization, and application of hydrochars are addressed and the future research directions toward the development of hydrochar technology are proposed.