ABSTRACT
Turpan Basin located in the eastern Xinjiang is a typical arid inland basin with extremely scarce water resources and a fragile ecosystem. Prokaryotic communities with unique genetic and physiological modifications can survive and function in such harsh environments, offering diverse microbial resources. However, numerous microbes can enter the viable but non-culturable state because of drought stress in the desert soil. In this work, next generation sequencing (NGS) technology based on DNA nanoball sequencing platform (DNBSEQ-G400) and sequencing-by-synthesis platform (NovaSeq 6000) were applied to analyze the prokaryotic diversity in three hyper-arid Gobi soils from Flaming Mountain, Toksun, and Kumtag. The comparison between two platforms indicated that DNBSEQ-G400 had better repeatability and could better reflect the prokaryotic community of this hyper-arid region. The diversity analysis based on DNBSEQ-G400 identified a total of 36 bacterial phyla, including Pseudomonadota, Bacteroidota, Bacillota, Actinomycetota, Methanobacteriota, Acidobacteriota, Nitrososphaerota, and Planctomycetota. The environmental factors, including soluble salt, available potassium, total nitrogen, and organic matter, were positively correlated with the abundance of most prokaryote. In addition, the prokaryotic community assembly in hyper-arid soil was well described by neutral-based models, indicating that the community assembly was mainly controlled by stochastic processes. Finally, the phylogenetic analysis of Actinomycetota proved that such extremophiles played an important role in the ecosystems they colonize. Overall, our result provides a reference for choosing the appropriate sequencing platform and a perspective for the utilization of soil microbial resources from hyper-arid regions.
ABSTRACT
Groundwater contamination risk assessment is an effective tool for groundwater pollution prevention and control. The evaluation system mainly includes three parts:groundwater contamination source load assessment, groundwater vulnerability assessment, and groundwater function value evaluation. Taking the plain area of southern Turpan Basin as an example, based on the survey data and land use data, point source pollution and non-point source pollution were divided to evaluate the load of groundwater pollution sources, the classical DRASTIC model was selected to evaluate the vulnerability of groundwater, and the functional value of groundwater was evaluated from the point of view of water quality and quantity. The three factors were weighted and superimposed via GIS platform to generate the risk zoning map of groundwater contamination. The results showed that the overall risk of groundwater contamination in the study area was low. The area of high-risk and relatively high-risk areas accounted for 15.5% of the total study area, which were mainly distributed in L1, L2, and L3 of the study area. L1 was mainly affected by high pollution source load and high groundwater vulnerability. L2 was mainly the result of the joint action of high groundwater function value and domestic non-point source pollution. Non-point source pollution dominated by agricultural activities and high functional value of groundwater were the main reasons for the high risk of groundwater pollution in the L3 area. The results of the groundwater contamination risk assessment serve as an important reference for decision-makers to delineate the prevention and control area of groundwater pollution.
ABSTRACT
Preserving groundwater-dependent terrestrial ecosystems through environmental water allocation is critical for sustainable development in arid inland basins. Assessing the environmental water requirement is challenging due to the complex relationship between vegetation growth and groundwater depth. This study proposed a new assessment method by combining the copula joint distribution function and the dual objective optimization. The copula joint distribution function was used to describe the relationship between vegetation and groundwater depth instead of the traditional regression analysis. Given an ecological protection target, the conditional probability of achieving the target was estimated using the copula joint distribution. The groundwater depth interval with relatively high probability was suitable for vegetation growth and correspondingly conducive for ecological protection. In addition to ecological protection, the socio-economic water requirement was incorporated into the environmental water assessment, resulting in a dual optimization problem that could be resolved by the ideal point method. The optimization analysis revealed a groundwater depth with a high probability of successful ecological protection and low groundwater evapotranspiration to balance vegetation and human demands for groundwater. The proposed method of environmental water assessment by combing copula joint distribution function and dual objective optimization was applied in the Turpan Basin, an arid inland basin in Northwest China. The environmental groundwater depth ranged between 6 and 20 m, and the optimized interval was 7-8 m. The optimal environmental groundwater depth resulted in a probability of 0.46 to achieve the ecological protection target and annual evapotranspiration of 983 mm. The proposed method was practical and reliable and could be an effective tool for assessing the environmental water requirement of groundwater-dependent vegetation in arid inland basins.
Subject(s)
Ecosystem , Groundwater , China , Humans , Water , Water SupplyABSTRACT
Based on the results of the fourth national survey of traditional Chinese medicine resources in Turpan city, Xinjiang, this study counted the types of traditional Chinese medicine resources in Turpan Basin. The spatial distribution differences of traditional Chinese medicine resources in Turpan Basin of Xinjiang were analyzed by using grid technology, trend surface analysis, global spatial autocorrelation analysis, and local spatial autocorrelation analysis, so as to clarify the overall change trend and aggregation degree of traditional Chinese medicine resources in Turpan Basin in horizontal and vertical directions. The results showed the following: in the horizontal direction, the species richness of traditional Chinese medicine resources in the central part of Turpan Basin was high, and there were great differences in the species richness of traditional Chinese medicine resources in Turpan Basin under different grid sizes. The spatial scale effect of the richness of traditional Chinese medicine resources in Turpan Basin is obvious. Among them, under the 30 km×30 km scale, the richness of the types of Chinese medicine resources shows a high spatial correlation, and the richness of the types of Chinese medicine resources at 5 km×5 km scale presents a near random distribution state, and the richness of the types of Chinese medicine resources at 80, 90, and 100 km scale sits negatively related. Vertical direction, Chinese medicine resources appear rich at the range of-154-150 m and 900-1 050 m following by range of 1 050-1 200 m.
Subject(s)
China , Medicine, Chinese Traditional , Spatial Analysis , TechnologyABSTRACT
Based on the results of the fourth national survey of traditional Chinese medicine resources in Turpan city, Xinjiang, this study counted the types of traditional Chinese medicine resources in Turpan Basin. The spatial distribution differences of traditional Chinese medicine resources in Turpan Basin of Xinjiang were analyzed by using grid technology, trend surface analysis, global spatial autocorrelation analysis, and local spatial autocorrelation analysis, so as to clarify the overall change trend and aggregation degree of traditional Chinese medicine resources in Turpan Basin in horizontal and vertical directions. The results showed the following: in the horizontal direction, the species richness of traditional Chinese medicine resources in the central part of Turpan Basin was high, and there were great differences in the species richness of traditional Chinese medicine resources in Turpan Basin under different grid sizes. The spatial scale effect of the richness of traditional Chinese medicine resources in Turpan Basin is obvious. Among them, under the 30 km×30 km scale, the richness of the types of Chinese medicine resources shows a high spatial correlation, and the richness of the types of Chinese medicine resources at 5 km×5 km scale presents a near random distribution state, and the richness of the types of Chinese medicine resources at 80, 90, and 100 km scale sits negatively related. Vertical direction, Chinese medicine resources appear rich at the range of-154-150 m and 900-1 050 m following by range of 1 050-1 200 m.