Sustainable Resource Utilization Research Articles

Biogenic silver nanoparticle synthesis using orange peel extract and its multifaceted biomedical application.

The aim of this study was to employ an agro-industrial byproduct, specifically Citrus sinensis peels, as a reservoir of polyphenols. The natural chemicals present in C. sinensis peels serve as reducing agents in an environmentally benign method for synthesizing silver nanoparticles (AgNPs). This methodology not only provides a more environmentally friendly method for synthesizing nanoparticles but also enhances the value of agricultural waste, emphasizing the sustainable utilization of resources. In our study, AgNPs were successfully synthesized using peel aqueous exact of C. sinensis and then their various biological activity has been investigated. The synthesized AgNPs were characterized by UV-vis spectroscopy, dynamic light scattering (DLS), scanning electron microscopy (SEM), energy-dispersive X-ray (EDX), and transmission electron microscopy (TEM) analysis. Furthermore, their effectiveness in inhibiting growth and biofilm formation of Escherichia coli, Staphylococcus aureus, and Candida albicans has been investigated. The minimum inhibitory concentrations (MIC) for E. coli and S. aureus were both 32μg/mL, and for C. albicans, it was 128µg/mL. At 250µg/mL of AgNPs, 94% and 92% biofilm inhibition were observed against E. coli and S. aureus, respectively. Furthermore, AgNPs demonstrated significant toxic effects against human prostate cancer cell line DU145 as investigated by anti-apoptotic, 4',6-diamidino-2-phenylindole (DAPI), reactive oxygen species (ROS), and acridine orange/ethidium bromide (AO/EtBr) assays. We also conducted uptake analysis on these pathogens and cancer cell lines to preliminarily investigate the mechanisms underlying their toxic effects. These findings confirm that AgNPs can serve as a cost-effective, non-toxic, and environmentally friendly resource for green synthesis of medicinal AgNPs. Moreover, this approach offers an alternative recycling strategy that contributes to the sustainable use of biological by-products.

Unlocking value: circular economy in ngos' food waste reduction efforts in Brazil and Togo

This article delves into the intriguing realm of food waste valorization conducted by nongovernmental organizations (NGOs) in two distinct locales—Brasilia, Brazil, and Lomé, Togo. The primary focus of this exploration is the lens of the Circular Economy (CE), a concept that emphasizes the sustainable utilization of resources within closed loops. The discourse is further enriched by introducing the notion of upcycling, a complementary force to the Circular Economy, particularly within the intricate web of food supply chains. The ReSOLVE framework, a strategic approach for managing food waste, is a guiding light in this research. Upon dissecting the outcomes, noteworthy limitations come to the forefront, shedding light on the challenges of aligning NGOs from both countries with the principles of the Circular Economy in their food waste management endeavors. These challenges assume heightened significance against the backdrop of the intricate global food security landscape, effectively underlining the intricacies of harmonizing the Circular Economy's ambitions with the pragmatic goal of diminishing food waste. The overarching objective of this study is to galvanize circular-oriented initiatives that can effectively curtail and prevent food wastage on a global scale, with a particular emphasis on developing nations. This pursuit is underscored by the triad of benefits such initiatives confer: economic advancement, social amelioration, and a positive ecological footprint. In an era where sustainability stands as a paramount concern, this research advocates for concerted efforts to harmonize the noble ideals of the Circular Economy with the pressing need for food waste reduction, especially within regions striving for holistic growth and development.

The structural equation modeling constructed for runoff change attribution analysis outperforms traditional methods

Recently, with the increasing global warming and intensity of human activities, runoff has significantly decreased. This has had a severe impact on water resources development and utilization, as well as ecological and environmental construction. To understand hydrological cycles and promote sustainable utilization of water resources, it is crucial to conduct attribution analysis of runoff changes. This study employed traditional models, including empirical statistics, elasticity coefficients, hydrological modeling, and introduced a simple and efficient model – structural equation modeling (SEM) – to quantify the impact of various factors on runoff changes. The findings revealed a notable decreasing trend in natural runoff in the Shiyang River from 1960 to 2020, while precipitation, snowmelt, potential evapotranspiration (ET0), and temperature exhibited increasing trends. The integrated the results from multiple models highlighted that human activities emerged as the primary driver influencing runoff changes. From 1972 to 2020, the factors contributing to runoff reduction were ranked in the order: water withdrawal (50 %) > LUCC (20 %) > ET0 (16 %) > temperature (8 %). Factors contributing to runoff increase were ranked: precipitation = water diversion project (20 %) > snowmelt (6 %). The impact of reservoir regulation on runoff initially exhibited a negative correlation (impact rate of 10 %) and later turned positive (impact rate of 6 %). The SEM model, employed for runoff change attribution analysis, demonstrated a good fit and was consistent with results obtained from the SWAT model. Compared to traditional methods, SEM not only allowed for quantitative analysis of the factors’ impact on runoff but also explored the interactions between factors and the direct and indirect effects of factors on runoff. This study introduces innovative methods for the attribution analysis of runoff changes, offering valuable insights crucial for the ecological sustainable development of water resources in arid and semi-arid regions.

Evaluating and enhancing natural resource asset management efficiency in China: A data envelopment analysis study

The efficiency of China's natural resource asset management system significantly influences the sustainable utilization of resources and the promotion of an environmentally sustainable economy. In this research, we employ a Data Envelopment Analysis (DEA) model to assess and analyze the efficiency and dynamic changes within China's natural resource asset management system. Our analysis is based on panel data collected from 30 provinces spanning the years 2007–2019. Our findings reveal that only three provinces demonstrated DEA effectiveness in managing natural resource assets, highlighting substantial regional disparities in efficiency. The presence of multiple institutions operating independently has led to a situation of overlapping responsibilities, resulting in critical issues related to redundant management. Inadequate resource tax collection intensity and a low tax utilization rate have contributed to the insufficiency in resource tax utilization. Local industrial structures and government priorities have hindered the active involvement of industrial enterprises in natural resource asset management in certain regions. We categorize changes in the efficiency of system operations in non-DEA-effective regions into three types: a temporary increase followed by a continuous decline, a gradual increase with overall low efficiency, and a rapid increase with relatively high overall efficiency. Consequently, this study offers policy recommendations aimed at enhancing the efficiency of natural resource asset management: (1) Clarify the ownership of natural resource assets and establish a well-defined hierarchical proxy system along with an integrated supervision framework. (2) Allocate resource tax revenue reasonably and promote collaborative coordination between resource taxes and other policy measures. (3) Strengthen the government's commitment to natural resource asset management, draw insights from advanced regions' experiences, and tailor policy approaches to the specific conditions of different regions to effectively balance economic development and environmental protection.

Living on the edge: Insights into habitat patterns of forest-dwelling mammals in buffer zone of Melghat Tiger Reserve, India

Buffer zones surrounding protected areas act as interfaces between humans and wildlife, providing sustainable resource utilization while minimizing negative interactions. The human population in region is increasing at 15 % in decade. There are instances of human death and injury and cattle lifting by carnivores. Crop damage by wild herbivores is common. These factors create difficulties for the tiger reserve managers. Camera trap sampling was carried out in the buffer zone at a density of one camera trap pair every 2 km2 for a period of 33 to 46 days. Camera trap data were analyzed using occupancy modeling to estimate habitat use probability (Ψ) and detection probability (p). Naïve estimates of habitat use probability ranged from 0.11 to 0.64, while Ψ values based on occupancy modeling ranged from 0.23 to 0.71. The study showed fairly high level of habitat use by mammals in the buffer zone of the tiger reserve. Leopards were found to be associated with abundance of large prey species and human presence. Hyena, gaur and sambar showed an association with forest habitat while nilgai showed association with scrub. Chausingha and langur showed an association with sloping terrain. The study showed that buffer zones play an important role as wildlife habitat.

Local Perceptions of Forest-Based Ecosystem Services in Benin, West Africa

Ecosystem services are closely linked to the daily lives of local communities, particularly those living near forests. The study of the local perceptions of these services is relevant because they vary depending on the community, the study period, and the environment. So beyond the inventorying of ecosystem services, understanding the perceptions of local communities regarding these services remains a necessity. Our study aims to analyze how local communities perceive the ecosystem services provided by forests and the factors that determine these perceptions. We collected data from 232 heads of households across 23 villages bordering the forest and analyzed them using descriptive statistics and ordered Probit analysis. The results showed that provisioning services (such as plant-derived medicines, rafters and planks, livestock feed, crops, and firewood) were the most important, followed by regulating and supporting services (including soil formation, erosion control, and climate regulation) are the most important. Finally, cultural services (encompassing cultural practices, heritage, and spirituality) were perceived as important. However, communities did not perceive the value of ecotourism. Factors influencing these perceptions included gender (male), age (young individuals), occupation in farming, household size, level of education, Bariba ethnicity and income. To ensure the sustainable utilization of forest resources in the region, it is necessary to encourage young people to adopt environmentally friendly agricultural practices, to use improved stoves that require less wood and promote cultural services to diversify their sources of income.

An Enzymatic and Proteomic Analysis of Panus lecomtei during Biodegradation of Gossypol in Cottonseed

Cotton is an important plant-based protein. Cottonseed cake, a byproduct of the biodiesel industry, offers potential in animal supplementation, although the presence of the antinutritional sesquiterpenoid gossypol limits utilization. The macrofungus Panus lecomtei offers potential in detoxification of antinutritional factors. Through an enzymatic and proteomic analysis of P. lecomtei strain BRM044603, grown on crushed whole cottonseed contrasting in the presence of free gossypol (FG), this study investigated FG biodegradation over a 15-day cultivation period. Fungal growth reduced FG to levels at 100 μg/g, with a complex adaptive response observed, involving primary metabolism and activation of oxidative enzymes for metabolism of xenobiotics. Increasing activity of secreted laccases correlated with a reduction in FG, with enzyme fractions degrading synthetic gossypol to trace levels. A total of 143 and 49 differentially abundant proteins were observed across the two contrasting growth conditions after 6 and 12 days of cultivation, respectively, revealing a dynamic protein profile during FG degradation, initially related to constitutive metabolism, then later associated with responses to oxidative stress. The findings advance our understanding of the mechanisms involved in gossypol degradation and highlight the potential of P. lecomtei BRM044603 in cotton waste biotreatment, relevant for animal supplementation, sustainable resource utilization, and bioremediation.

Biodiversity Conservation in Xishuangbanna, China: Diversity Analysis of Traditional Knowledge Related to Biodiversity and Conservation Progress and Achievement Evaluation

Biodiversity plays an important role in maintaining the ecological balance of the earth. The study of traditional knowledge related to biological resources is a hot issue in the field of international biodiversity conservation. Xishuangbanna is a key area of biodiversity and a cultural hotspot of international significance. According to the Technical Regulation for Classification, Investigation, and Inventory of Traditional Knowledge Relating to Biological Diversity issued by the Ministry of Ecology and Environment, we investigated and catalogued the traditional knowledge related to biodiversity of the Jino people who have lived in Xishuangbanna for generations, and collected 490 entries of traditional knowledge related to biodiversity of the Jino people. Drawing on the traditional knowledge diversity index calculation method proposed by Wang Guoping, the overall traditional knowledge α-diversity index of the Jino people is 0.63, indicating that the richness of the traditional knowledge of the Jinuo people is relatively high. The traditional culture related to biodiversity, the traditional knowledge related to agricultural genetic resources, and the traditional technology related to the sustainable utilization of biological resources are relatively rich and diverse. The diversity index is 0.86, 0.82 and 0.79, respectively. In addition, Xishuangbanna has invested a lot of energy in biodiversity protection, including the establishment of nature reserves, botanical gardens, zoos, ecological tea gardens and other species reserves, and the promulgation of laws and policies related to biodiversity protection, and has achieved remarkable results in in situ protection and ex situ protection. On the basis of analyzing the progress and achievements of biodiversity conservation in Xishuangbanna, this study points out that Xishuangbanna faces challenges such as the loss of traditional knowledge, insufficient conservation efforts, and great changes in land use, and puts forward corresponding suggestions.

Structural and Successional Dynamics of Old-Growth Mixed Oak Forests in the West Qinling Mountains

Understanding the composition and structure of forest trees is crucial to comprehending the properties and functions of forests. It also helps in implementing effective management strategies for sustainable resource utilization. Our study analyzed the structural dynamics of the old-growth mixed oak forests in the Xiaolongshan Forest region, focusing on three long-term monitoring plots (A, B, C). We examined the tree species composition, diameter distribution, mortality, and recruitment dynamics of different successional species groups, as well as the spatial distribution patterns of living and dead trees, with surveys conducted every five years. The findings indicate: (1) Plot A experienced a decline in stand density and species diversity during the survey period, with the Importance Value Index (IVI) of pioneer successional species continually decreasing in plots B and C. (2) The tree diameter distribution structure in plot A significantly differed from other plots, showing notable change between 2007 and 2012. (3) All plots exhibited lower, well-balanced community-level demographic parameters based on stem number, but a higher recruitment rate for later successional species groups based on basal area. (4) Dead individuals in plot A had a slight clustering distribution, while the other plots showed a random distribution. We conclude that the individual growth rate significantly impacts the dynamics of the natural Quercus aliena var. acuteserrata forest, with pioneer species groups being gradually replaced by early or late-successional species groups in the succession process.

Response of Sandy Soil–Water Migration to Different Conditions under Unidirectional Freezing

In order to conserve valuable soil and water resources and avoid problems related to frozen soil, it is important to study the migration of frozen soil water. A greater understanding of frozen soil–water migration can assist with sustainable development and utilization of soil and water resources in frozen areas. This study used an indoor soil column test device to conduct a one-way indoor freezing test of unsaturated soil and the response of soil sample water migration to different freezing temperatures, initial moisture contents, soil densities, freezing times, solute concentrations, and solute types. The experimental and analytical results showed that the temperature field of the soil sample could be divided into three stages: sharp cooling, slow cooling, and stability. After the soil sample had been frozen for 100 h, the temperature field stabilized. The freezing temperature, initial water content, soil density, and freezing time affected water migration in the soil sample. Lower freezing temperatures and greater initial water content resulted in higher levels of water migration. By contrast, greater soil density led to lower water migration levels. In addition, longer freezing times produced smoother soil–water migration curves. The solute concentration and solute type also affected water migration in frozen soil; the higher the solute concentration, the greater the water migration. Compared with CaCl2, NaCl had a stronger effect, causing more water migration and leading to a higher water content. The research findings will aid further studies on soil and water utilization, environmental maintenance, and restoration in areas with seasonally frozen soil, as well as promote the sustainable development of agriculture, water conservancy project development, and the social economy.

Clean and green bioconversion – a comprehensive review on black soldier fly (Hermetia illucens) larvae for converting organic wastes to quality products

Abstract Food security remains a pressing global concern, exacerbated by population growth, diminishing agricultural lands, and climate uncertainties. As the demand for high-quality protein sources like eggs, meat, and milk escalates, conventional feed ingredients face challenges in meeting the burgeoning needs of livestock production. The projected increase in poultry and pig consumption further strains the availability of protein-rich feed sources, necessitating sustainable alternatives. Insects, notably black soldier fly larvae (BSFL), offer numerous advantages, including efficiently converting organic substrates into high-quality protein, fat, minerals, and vitamins. Their rapid reproduction, minimal environmental footprint, and ability to thrive on various organic materials make them an attractive protein source. However, consumer acceptance remains a hurdle, hindering their direct consumption despite their nutritional value. Incorporating BSFL into animal diets, especially poultry and swine, demonstrates promising results regarding growth and production. This review comprehensively overviews BSFL production systems, processing techniques, and nutritional profiles. Various factors influencing BSFL growth and feed quality are discussed, highlighting the importance of optimizing breeding systems and feed formulations. Processing methods are elucidated to ensure the safety and quality of BSFL-based products. Nutritional analysis reveals BSFL as a rich source of essential amino acids, fatty acids, and minerals, making them suitable replacements for soybean meal and fish meal. Despite the economic and environmental benefits of BSFL utilization, challenges persist, including regulatory issues, consumer perceptions, and production scalability. Standardized production protocols and legislative frameworks are needed to facilitate the widespread adoption of BSFL in animal feed industries. In conclusion, integrating BSFL into animal diets presents a promising solution to address protein shortages in livestock production while promoting sustainable resource utilization.

Exploring Surface Water-Groundwater Interactions: A Multidisciplinary Approach

Surface water-ground water interaction plays a crucial role in hydrological systems, influencing water availability, quality and ecosystem sustainability. To maintain drinking water resources and ecosystem health, a mechanistic understanding of the underlying processes controlling the spatial patterns and temporal dynamics of groundwater–surface water interactions is crucial. Understanding these interactions requires a multidisciplinary approach that integrates insights from hydrology, geology, ecology, and geochemistry. Several software applications are available to model and analyze these interactions. This abstract presents the framework and key findings of a comprehensive study aimed at elucidating the complex dynamics of surface water-groundwater interactions through different software. Key finding highlights the significance of spatial and temporal variability in surface water-groundwater interactions, emphasizing the need for comprehensive monitoring networks and advanced modeling tools. It underscores the interconnected nature of surface water and groundwater resources, emphasizing the importance of integrated management strategies for sustainable water resource utilization and ecosystem health. It provides an overview of current research advances and innovative approaches in the broad field of surface water-ground water interactions. By adopting a multidisciplinary approach, we can understand the complex interactions shaping the surface water-groundwater systems, facilitating informed decision-making and effective resource management in a dynamic environment.

Highly efficient nickel recovery from industrial wastewater via synergistic electrodeposition and electrocatalytic oxidation technique

This study was conducted to address water pollution concerns entwined with electroless nickel plating (ENP) industry. Its principal endeavor centers on the development and application of an innovative single-compartment technique to proficiently treat spent ENP baths. The research demonstrated the recovery of Nickel (Ni) from wastewater through synergistic interactions between electrocatalytic oxidation and electrodeposition processes. Electrochemical tests used a direct current power supply in constant current mode, with the positive pole on IrO2/Ti mesh and negative pole on stainless steel. Zero-valent nickel recovered on the electrodes was conclusively identified via SEM, XRD, and EDS analyses. This work carefully examined the impact of initial pH, initial Ni ion concentration, and current density (CD) on electrochemical recovery efficiency. The findings suggest that higher current densities positively influence the Ni recovery ratio. Additionally, through meticulous experiments, the viability of this approach for treating spent ENP baths has been confirmed. An impressive 98.88% recovery of Ni was achieved under specific conditions: CD 4.5 mA cm−2, experimental time 180 min, pH 4.5, electrodes spacing 1.5 cm, temperature 55 °C, and a dilution factor 10 times. The study demonstrated the process for Ni recovering from ENP wastewater through direct oxidation and subsequent decomposition, leading to liberation of free Ni ions. The recovered substance, identified as zero-valent nickel, adheres to the electrodes. The method employed in this research is described by its cost-effectiveness, user-friendliness, and low energy consumption. As a result, this study makes valuable contributions to both wastewater remediation and the sustainable utilization of Ni resources.

Enhancing Sustainability: Exploring IoT Integration in Renewable Energy Infrastructure

The management and utilization of sustainable resources have undergone a significant transformation as a result of the integration of Internet of Things (IoT) technology into the renewable energy sector. IoT has simplified the optimization of renewable energy sources, including solar, wind, and hydropower, by leveraging sensor technology, data analytics, and connectivity. This optimization has resulted in major advances in energy production efficiency, equipment maintenance procedures, and the smooth integration of renewable energy into established power grids. Operators can optimize energy output while reducing waste by adjusting operations in real time through continuous monitoring and analysis of data gathered from IoT-enabled sensors. Moreover, by predicting and fixing possible problems before they arise, predictive maintenance algorithms significantly contribute to increased equipment reliability by lowering downtime and operating expenses. Furthermore, IoT systems allow for dynamic modifications to energy flow, guaranteeing the stability and dependability of the integration of renewable energy sources into the current power networks. This research investigates the use of IoT technology in the renewable energy sector in detail, exploring its several uses and assessing how it affects industry standards, sustainability goals, and the overall energy environment.

A simple method for evaluating the relative water uptake rate of drip‐irrigated crops

AbstractDrip irrigation is widely acknowledged for its water use efficiency, yet evaluating relative water uptake rates (RWURs, ratios between the water uptake rates and the irrigation rates) remains pivotal for effective system design and management. This article presents a novel method employing straightforward measurements of wetted soil surfaces around emitters or perpendicular to driplines, both with and without water uptake, emphasizing simplicity and practicality. The proposed method offers valuable insights into agronomic water use efficiency, facilitating the optimization of drip irrigation for both annual and perennial crops. While effective for intensively irrigated crops, the method does have limitations for smaller wetted areas and longer irrigation cycles, depending also upon a reasonable determination of the active root zone depth and the soil capillary length. Despite relying on a simplified water uptake model, the accessibility and cost‐effectiveness of the method render it a valuable tool for assessing RWURs in diverse agricultural settings, contributing to the sustainable utilization of water resources in drip irrigation.

Anomalies identification in Smart Water Metering Networks: Fostering improved water efficiency

Smart Water Metering Networks (SWMNs) stand as pivotal infrastructure, crucial for communities and industries. The escalating value of water resources due to climate change and overexploitation underscores the urgency of optimizing these networks for efficiency and resilience. This study focuses on identifying anomalies within SWMNs to address challenges impeding efficient water resource management. Leveraging a comprehensive 72-month dataset from Windhoek, Namibia, this research employs a meticulous analytical approach to unveil diverse anomaly types prevalent within SWMNs. Anomalies, including irregular consumption patterns, leakages, and inaccurate meters, contribute significantly to both apparent and real losses. By scrutinizing this dataset, the study reveals nuanced anomaly patterns like persistent zero consumption and unexpected fluctuations, highlighting the pervasive nature of these issues within the network. The findings not only shed light on these multifaceted anomalies but also lay the groundwork for future advancements in machine learning-based anomaly detection techniques. This research holds promise beyond academia, offering practical implications for water utility management. Identifying and understanding these anomalies serves as a stepping stone toward developing robust detection systems, ultimately fostering heightened efficiency and resilience in water networks. This study serves as a catalyst for strategic improvements, enabling more sustainable and efficient utilization of water resources amidst evolving environmental challenges.

Research on the Synthesis of Zinc-Ammonium Phosphate Using Galvanic Waste Sludge as a Source of Zinc.

This paper presents the extraction of zinc ions from waste resulting from the galvanic industry, such as sludge from acid zinc electroplating baths, and their revaluation in mineral fertilizer as zinc-ammonium phosphate. The purpose of this work is to extract zinc ions from the sludge that forms directly in the zinc bath, which can only contain zinc and small amounts of iron, to revalorize zinc into the form of zinc-ammonium phosphate. The process of obtaining zinc-ammonium phosphate is presented using waste sludge from the galvanic industry. In order to obtain zinc-ammonium phosphate, the solution resulting from the dissolution of the sludge with a 20% hydrochloric acid solution was used in reaction with diammonium phosphate and a 25% ammonia solution. After the chemical analysis of the obtained products, zinc-ammonium phosphate was characterized using X-ray powder diffraction, infrared FT-IR spectroscopy and electronic microscopy (SEM) analysis. The results obtained indicate a promising approach to sustainable resource utilization in the production of zinc-ammonium phosphate.

Research and Prospect of Fishery Resource Survey Technology

At present, the sustainable utilization of fishery resources has become a hot topic in the study of fishery sustainable development, and it is also an important research content in the theory and practice of sustainable development. In the 21st century, in addition to climate change and other factors, a large number of artificial Marine economic activities have caused great damage to the ecological environment of the habitat of fishery resources. At present, the protection of fishery resources is imminent, and to protect fishery resources, we need to conduct a good survey of existing fish. Based on the survey technology of fish resources, this paper introduces the traditional survey technology and modern fish resources survey technology in detail, analyzes the existing problems and countermeasures, and provides reference for the study of fish resources survey.

Study on Seepage of Coalbed Methane in Pore-fracture Double - porosity Medium

The study of coalbed methane (CBM) seepage within dual-porosity medium constitutes a significant research endeavor in the field of geology and coalbed methane reservoir engineering. This research delves into the complex dynamics governing CBM flow through porous coal matrices within dual-porosity systems. Employing advanced methodologies including numerical simulation and experimental analysis, this investigation aims to elucidate the mechanisms underlying CBM migration, encompassing diffusion and adsorption phenomena within the coal matrix, as well as interactions with adjacent strata. The outcomes of this study carry substantial implications for optimizing CBM extraction techniques and promoting the sustainable utilization of this invaluable natural resource.

Genetic structure of ten Artemia populations from China: cumulative effects of ancient geological events, climatic changes, and human activities

This study investigated the population genetics and distribution patterns of Artemia populations from ten inland salt lakes in China. A total of 1,274,698 Artemia single nucleotide polymorphisms (SNPs) were identified. The results showed that these populations could be geographically and genetically divided into four distinct groups, and that the Tibetan populations were further divided into two subpopulations with a trend of decreasing genetic diversity from west to east. The Tibetan population had the highest genetic diversity, whereas the Shanxi population had the lowest. There was moderate genetic differentiation between the Tibetan populations and greater genetic differentiation between the Xinjiang and Shanxi populations. IBD (isolation by distance) suggested that geographical isolation contributes to genetic differentiation. In addition, there was some degree of gene flow among the ten populations, with A. sinica showing unidirectional gene flow in all populations in the eastern Nagri region. Species distribution modeling showed that mean annual temperature, temperature seasonality, and annual precipitation were the main environmental factors affecting the distribution of Artemia populations and suitable habitats for Tibetan populations will be further reduced in the future. It is necessary to strengthen the protection of germplasm resources and formulate scientific protocols for the sustainable development and utilization of Artemia resources.