Displaying publications 1 - 20 of 245 in total

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  1. Zhang F, Finkelstein J
    Pharmgenomics Pers Med, 2019;12:107-123.
    PMID: 31308725 DOI: 10.2147/PGPM.S207449
    Introduction: Racial and ethnic categories are frequently used in pharmacogenetics literature to stratify patients; however, these categories can be inconsistent across different studies. To address the ongoing debate on the applicability of traditional concepts of race and ethnicity in the context of precision medicine, we aimed to review the application of current racial and ethnic categories in pharmacogenetics and its potential impact on clinical care.

    Methods: One hundred and three total pharmacogenetics papers involving the CYP2C9, CYP2C19, and CYP2D6 genes were analyzed for their country of origin, racial, and ethnic categories used, and allele frequency data. Correspondence between the major continental racial categories promulgated by National Institutes of Health (NIH) and those reported by the pharmacogenetics papers was evaluated.

    Results: The racial and ethnic categories used in the papers we analyzed were highly heterogeneous. In total, we found 66 different racial and ethnic categories used which fall under the NIH race category "White", 47 different racial and ethnic categories for "Asian", and 62 different categories for "Black". The number of categories used varied widely based on country of origin: Japan used the highest number of different categories for "White" with 17, Malaysia used the highest number for "Asian" with 24, and the US used the highest number for "Black" with 28. Significant variation in allele frequency between different ethnic subgroups was identified within 3 major continental racial categories.

    Conclusion: Our analysis showed that racial and ethnic classification is highly inconsistent across different papers as well as between different countries. Evidence-based consensus is necessary for optimal use of self-identified race as well as geographical ancestry in pharmacogenetics. Common taxonomy of geographical ancestry which reflects specifics of particular countries and is accepted by the entire scientific community can facilitate reproducible pharmacogenetic research and clinical implementation of its results.

  2. Zhang BS, Zhang F
    Zookeys, 2018.
    PMID: 30344434 DOI: 10.3897/zookeys.789.24261
    Three new species of the genus Asceua Thorell, 1887, from the natural forests of Malaysia, are described as Asceuabifurcasp. n. (♂♀), A.curvasp. n. (♂), and A.trimaculatasp. n. (♀). The genus Asceua is reported from Malaysia for the first time.
  3. Zhang BS, Zhang F
    Zootaxa, 2019 Mar 20;4568(2):zootaxa.4568.2.2.
    PMID: 31715856 DOI: 10.11646/zootaxa.4568.2.2
    Four new species of the genus Mallinella Strand, 1906, from the natural forests of Malaysia, are described as Mallinella bicanaliculata sp. n. (♂♀), M. calautica sp. n. (♂♀), M. laxa sp. n. (♂♀), and M. obliqua sp. n. (♂♀). The four new species belong to four species groups and were collected from the forest litter in Sabah state by sieving.
  4. Zhang L, Zhang F
    Biodivers Data J, 2023;11:e99980.
    PMID: 38327341 DOI: 10.3897/BDJ.11.e99980
    BACKGROUND: Prior to this study, the genus Serendib Deeleman-Reinhold, 2001 has been discovered in Indonesia, Thailand and Laos and comprises three species: S.muadai Jäger, Nophaseud & Praxaysombath, 2012, S.suthepica Deeleman-Reinhold, 2001 and S.volans Deeleman-Reinhold, 2001.

    NEW INFORMATION: The genus Serendib Deeleman-Reinhold, 2001 is reviewed. A new species, S.hispida sp. n. (male and female), representing the first record of genus Serendib from Malaysia, is described. Descriptions and illustrations of the females of S.volans (Malaysia) and S.suthepica (China) are also provided. The latter represents the first record of the genus in China.

  5. Zhang L, Mu Y, Zhang F
    Biodivers Data J, 2022;10:e96594.
    PMID: 36761594 DOI: 10.3897/BDJ.10.e96594
    BACKGROUND: The genus Aetius O. Pickard-Cambridge, 1897 has been discovered in Sri lanka, India, Malaysia (Borneo), Thailand and Ivory Coast and comprises four species: A.bicuspidatus Yamasaki, 2020, A.decollatus O. Pickard-Cambridge, 1897, A.nocturnus Deeleman-Reinhold, 2001 and A.tuberculatus (Haddad, 2013).

    NEW INFORMATION: The genus Aetius O. Pickard-Cambridge, 1897 is reported for the first time in China (Yunnan Province) and includes three species: one new species and two newly-recorded species. One new species is described, based on both sexes: A.maculatus sp. n. Additionally, A.bicuspidatus Yamasaki, 2020 and A.nocturnus Deeleman-Reinhold, 2001, are newly recorded from China, with photographs of habitus and genitalia being provided.

  6. Li H, Turkoz I, Zhang F
    Neuropsychiatr Dis Treat, 2016;12:15-24.
    PMID: 26730193 DOI: 10.2147/NDT.S83651
    INTRODUCTION: This single-group, open-label, prospective, noncomparative, multicenter, Phase IV study explored the efficacy and tolerability of paliperidone palmitate (PP) in hospitalized patients with acute exacerbation of schizophrenia.

    METHODS: Asian patients of either sex, between 18 and 65 years of age, diagnosed with schizophrenia (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) with acute exacerbations within the previous 4 weeks, were enrolled. Intramuscular PP was initiated at doses of 150 milligram equivalent (mg eq) (day 1) and 100 mg eq (day 8), followed by a monthly maintenance dose between 75 mg eq and 150 mg eq (days 36 and 64). Primary efficacy endpoint was the change from baseline in the Positive and Negative Syndrome Scale (PANSS) total score (last-observation-carried-forward) at week 13.

    RESULTS: Of the 212 enrolled patients, 152 (71.7%) completed the 13-week treatment; withdrawal of consent (24 [11.3%] patients) was the most common reason for study discontinuation. Mean (standard deviation) PANSS total score from baseline (90.0 [17.41]) improved significantly at day 4 (-6.1 [9.27]; 95% confidence interval: -7.38, -4.85; P<0.001) and week 13 endpoint (-23.9 [23.24]; 95% confidence interval: -27.10, -20.78; P<0.001). Similarly, the secondary endpoints (Clinical Global Impression-Severity, Physical and Social Performance, each PANSS subscale, and Marder factor scores) improved significantly from baseline to week 13 endpoint (P<0.001 for all). At week 13, 112/210 (53.3%) patients had a 40% improvement in the PANSS total score (responder rate), and 133/212 (62.7%) patients were ready for hospital discharge. Overall, 139 (65.6%) patients experienced at least one treatment-emergent adverse event (TEAE). Most common (>5%) TEAEs were hyperprolactinemia, constipation, nasopharyngitis, insomnia, increased weight, and tremor. Worsening of schizophrenia (3.3%) and sinus bradycardia (2.0%) were serious TEAEs; no deaths were reported.

    CONCLUSION: PP was generally tolerable and efficacious in a hospital setting for the treatment of acute exacerbated schizophrenia with significant improvements in psychotic symptoms, social functioning, and severity of illness.
  7. Wang G, Guo Q, Zhou X, Zhang F
    Environ Sci Pollut Res Int, 2023 Jan;30(1):2315-2328.
    PMID: 35930151 DOI: 10.1007/s11356-022-22337-w
    Agricultural carbon emission is an important cause of climate change, and the carbon transfer caused by agricultural trade is a key area related to carbon emissions of all countries. Based on the Eora database, this paper aims to constructs a multi-region input-output database of 185 countries or regions, analyzes a spatial correlation network of embodied net carbon transfer in global agricultural trade by using UCINET, selects multi-dimensional network measurement indicators, and comprehensively studies the global evolution characteristics and functional features of network plate role of embodied carbon transfer in the global agricultural trade. The result shows that the embodied net carbon transfer network of global agricultural trade is densely connected, the spatial correlation spillover effect is significant, and the edge of the network core structure is clear. On the one hand, the top four countries or regions in terms of embodied carbon outflow in agricultural trade are the USA, Australia, Vietnam, and China. On the other hand, the top four countries or regions of embodied carbon inflow are Malaysia, Central Africa, Singapore, and Serbia. From the perspective of outdegree, indegree, proximity centrality, and intermediary centrality, Cambodia, the Netherlands, Vietnam, Ghana, and South Africa, with the high frequency of the shortest path of the globally embodied net carbon transfer network, have a strong influence and linking facility in spatial correlation and have a strong control ability to the spatial correlation of other countries or regions. The embodied carbon emission network of global agricultural trade can be divided into four sectors: main spillover, two-way spillover, broker, and main benefit. The main spillover segment, constituted by the USA, India, Germany, and China, has significant embodied carbon spillover effects on the internal segment and other segments. It is the main embodied carbon spillover sector of embodied net carbon transfer of global agricultural trade. Countries should reasonably allocate the responsibility of carbon reduction according to the trading embodied carbon transfer and made efforts to optimize the export structure of agricultural products.
  8. Zhou X, Tian X, Song L, Luo L, Ma Z, Zhang F
    Food Sci Nutr, 2023 Feb;11(2):752-764.
    PMID: 36789044 DOI: 10.1002/fsn3.3111
    The prolongation of life span has attracted more and more attention in the current world. Gut microbiota is considered one of the most critical elements and is essential in regulating life span and quality. The effects of donkey whey protein (DWP) and donkey whey hydrolysate (DWPP) on physiological functions and gut microbiota of D-galactose-induced aging mice were investigated to find new strategies for resisting aging. Our results showed that DWP and DWPP could increase the body weight gain velocity, superoxide dismutase (SOD) activity, and thymus index, whereas decrease the level of reactive oxygen species (ROS) and malondialdehyde (MDA), and improve the aging of the body in the liver congestion, oozy draw focal sclerosis of chronic inflammation. The effects of medium and high concentrations of DWP and low and medium concentrations of DWPP were the same as the vitamin C (Vc)-positive control group. It was found that both DWP and DWPP could change α-diversity; the relative abundance of Lactobacillus increased, whereas the relative abundance of Helicobacter and Stenotrophomonas decreased after being treated with DWP and DWPP. The correlation between intestinal microflora and physiological indexes showed that chao1, ACE, and observed species indexes in the α index were positively correlated with weight gain velocity, SOD activity, and thymus index. The relative abundance of Lactobacillus was positively correlated with SOD and thymus index but negatively correlated with MDA. The relative abundance of Stenotrophomonas was opposite to that of Lactobacillus. The Anaerobiospirillum, Fusobacterium, and Dubosiella had a significant positive correlation with the weight gain velocity. The study provided a deeper more profound understanding of the potential use of DWP and DWPP in senescence delays.
  9. Airiken M, Zhang F, Chan NW, Kung HT
    Environ Sci Pollut Res Int, 2022 Feb;29(8):12282-12299.
    PMID: 34564811 DOI: 10.1007/s11356-021-16579-3
    In the current context of rapid development and urbanization, land use and land cover (LULC) types have undergone unprecedented changes, globally and nationally, leading to significant effects on the surrounding ecological environment quality (EEQ). The urban agglomeration in North Slope of Tianshan (UANST) is in the core area of the Silk Road Economic Belt of China. This area has experienced rapid development and urbanization with equally rapid LULC changes which affect the EEQ. Hence, this study quantified and assessed the spatial-temporal changes of LULC on the UANST from 2001 to 2018 based on remote sensing analysis. Combining five remote sensing ecological factors (WET, NDVI, IBI, TVDI, LST) that met the pressure-state-response(PSR) framework, the spatial-temporal distribution characteristics of EEQ were evaluated by synthesizing a new Remote Sensing Ecological Index (RSEI), with the interaction between land use change and EEQ subsequently analyzed. The results showed that LULC change dominated EEQ change on the UANST: (1) From 2001 to 2018, the temporal and spatial pattern of the landscape on the UANST has undergone tremendous changes. The main types of LULC in the UANST are Barren land and Grassland. (2) During the study period, RSEI values in the study area were all lower than 0.5 and were at the [good] levels, reaching 0.31, 0.213, 0.362, and 0346, respectively. In terms of time and space, the overall EEQ on the UANST experienced three stages of decline-rise-decrease. (3) The estimated changes in RSEI were highly related to the changes of LULC. During the period 2001 to 2018, the RSEI value of cropland showed a trend of gradual increase. However, the rest of the LULC type's RSEI values behave differently at different times. As the UANST is the core area of Xinjiang's urbanization and economic development, understanding and balancing the relationship between LULC and EEQ in the context of urbanization is of practical application in the planning and realization of sustainable ecological, environmental, urban, and social development in the UANST.
  10. He X, Zhang F, Cai Y, Tan ML, Chan NW
    Environ Sci Pollut Res Int, 2023 Jun;30(30):75511-75531.
    PMID: 37222898 DOI: 10.1007/s11356-023-27702-x
    This study aims to understand the factors and mechanisms influencing the spatio-temporal changes of fractional vegetation cover (FVC) in the northern slopes of the Tianshan Mountains. The MOD13Q1 product data between June and September (peak of plants growing) during the 2001-2020 period was incorporated into the pixel dichotomy model to calculate the vegetation cover changes. Then, the principal component analysis method was used to identify the primary driving factors affecting the change in vegetation cover from the natural, human, and economic perspectives. Finally, the partial correlation coefficients of FVC with temperature and precipitation were further calculated based on the pixel scale. The findings indicate that (1) FVC in the northern slopes of the Tianshan Mountains ranged from 0.37 to 0.47 during the 2001-2020 period, with an obvious inter-annual variation and an overall upward trend of about 0.4484/10 a. Although the vegetation cover had some changes over time, it was generally stable, and the area of strong variation only accounted for 0.58% of the total. (2) The five grades of vegetation cover were distributed spatially similarly, but the area-weighted gravity center for each vegetation class shifted significantly. The FVC under different land use/land cover types and elevations was obviously different, and as elevation increased, vegetation coverage presented a trend of a "∩"-shape change. (3) According to the results of principal component analysis, human activities, economic growth, and natural climate were the main driving factors that caused the changes in vegetation cover, and the cumulative contribution of the three reached 89.278%. In addition, when it came to climatic factors, precipitation had a greater driving force on the vegetation cover change, followed by temperature and sunshine hours. (4) Overall, precipitation and temperature were correlated positively with FVC, with the average correlation coefficient values of 0.089 and 0.135, respectively. Locally, the correlations vary greatly under different LULC and altitudes. This research can provide some scientific basis and reference for the vegetation evolution pattern and ecological civilization construction in the region.
  11. Wang Z, Zhang F, Zhang X, Chan NW, Kung HT, Ariken M, et al.
    Sci Total Environ, 2021 Feb 12;775:145807.
    PMID: 33618298 DOI: 10.1016/j.scitotenv.2021.145807
    Soil salinization is an extremely serious land degradation problem in arid and semi-arid regions that hinders the sustainable development of agriculture and food security. Information and research on soil salinity using remote sensing (RS) technology provide a quick and accurate assessment and solutions to address this problem. This study aims to compare the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction and exploration of the potential application of derivatives to RS prediction of salinized soils. It explores the ability of derivatives to be used in the Landsat-8 OLI and Sentinel-2A MSI multispectral data, and it was used as a data source as well as to address the adaptability of salinity prediction on a regional scale. The two-dimensional (2D) and three-dimensional (3D) optimal spectral indices are used to screen the bands that are most sensitive to soil salinity (0-10 cm), and RS data and topographic factors are combined with machine learning to construct a comprehensive soil salinity estimation model based on gray correlation analysis. The results are as follows: (1) The optimal spectral index (2D, 3D) can effectively consider possible combinations of the bands between the interaction effects and responding to sensitive bands of soil properties to circumvent the problem of applicability of spectral indices in different regions; (2) Both the Landsat-8 OLI and Sentinel-2A MSI multispectral RS data sources, after the first-order derivative techniques are all processed, show improvements in the prediction accuracy of the model; (3) The best performance/accuracy of the predictive model is for sentinel data under first-order derivatives. This study compared the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction in finding the potential application of derivatives to RS prediction of salinized soils, with the results providing some theoretical basis and technical guidance for salinized soil prediction and environmental management planning.
  12. Zhang H, Zhang F, Song J, Tan ML, Kung HT, Johnson VC
    Environ Res, 2021 11;202:111702.
    PMID: 34284019 DOI: 10.1016/j.envres.2021.111702
    This study aims to analyze the pollution characteristics and sources of heavy metal elements for the first time in the Zhundong mining area in Xinjiang using the linear regression model. Additionaly, the health risks with their probability and infleuencing factors on different groups of people's were also evaluated using Monte Carlo (MC) simulation approach. The results shows that 89.28% of Hg was from coal combustion, 40.28% of Pb was from transportation, and 19.54% of As was from atmospheric dust. The main source of Cu and Cr was coal dust, Hg has the greatest impact on potential ecological risks. which accounted for 60.2% and 81.46% of the Cu and Cr content in soil, respectively. The all samples taken from Pb have been Extremely polluted (100%). 93.3% samples taken from As have been Extremely polluted. The overall potential ecological risk was moderate. Adults experienced higher non-carcinogenic risks of heavy metals from their diets than children. Interestingly, body weight was the main factor affecting the adult's health risks. This research provides more comprehensive information for better soil management, soil remediation, and soil pollution control in the Xinjiang mining areas.
  13. Zhang F, Shih SF, Harapan H, Rajamoorthy Y, Chang HY, Singh A, et al.
    BMC Res Notes, 2021 Nov 25;14(1):428.
    PMID: 34823587 DOI: 10.1186/s13104-021-05846-8
    OBJECTIVES: This study assessed changes in behaviors/attitudes related to the COVID-19. With the understanding that behaviors and vaccine decision-making could contribute to global spread of infectious diseases, this study collected several waves of internet-based surveys from individuals in the United States, mainland China, Taiwan, Malaysia, Indonesia, and India. The aims of this study were to (1) characterize the relationship between the epidemiology of disease and changes over time in risk perceptions, knowledge, and attitudes towards hygienic behaviors; (2) examine if risk perceptions affect acceptance of less-than-ideal vaccines; and (3) contrast adherence to public health recommendations across countries which have had different governmental responses to the outbreak.

    DATA DESCRIPTION: We conducted cross-sectional online surveys in six countries from March 2020 to April 2021. By the end of June 2021, there will be six waves of surveys for the United States and China, and four waves for the rest of countries. There are common sets of questions for all countries, however, some questions were adapted to reflect local situations and some questions were designed intentionally for specific countries to capture different COVID-19 mitigation actions. Participants were asked about their adherence towards countermeasures, risk perceptions, and acceptance of a hypothetical vaccine for COVID-19.

  14. Jia H, Zhao B, Zhang F, Santhanam RK, Wang X, Lu J
    Front Oncol, 2021;11:785455.
    PMID: 34912721 DOI: 10.3389/fonc.2021.785455
    Polysaccharides are the main active ingredients of ginseng. To extract the most effective polysaccharides against hepatocellular carcinoma (HCC), we isolated and characterized the polysaccharides from the mountain cultivated ginseng (MCG) and compared their composition and cytotoxic effect with cultivated ginseng (CG) polysaccharide against HepG2 cell lines for the first time. MCG polysaccharides and CG polysaccharides were fractionated into two fractions such as MTPS-1, MTPS-2 and CTPS-1, CTPS-2 by salting out, respectively. Compared to CG, MCG possessed appreciable cytotoxic effect against HepG2 cells among that MTPS-1 possess fortified effect. Then, MTPS-1 was selected for further isolation process and seven acidic polysaccharides (MCGP-1-MCGP-7) were obtained using ethanol precipitation, ion-exchange, and gel permeation chromatography techniques. Structural characteristics of the polysaccharides (MCGP-1-MCGP-7) were done by adapting methylation/GC-MS and NMR analysis. Overall, MCGP-3 polysaccharide was found to possess significant cytotoxic effect against HepG2 cells with the IC50 value.
  15. Zhou W, Zeng S, Yu J, Xiang J, Zhang F, Takriff MS, et al.
    J Basic Microbiol, 2023 Feb;63(2):223-234.
    PMID: 36538731 DOI: 10.1002/jobm.202200528
    In this study, selected properties of protease and the complete genome sequence of Bacillus licheniformis NWMCC0046 were investigated, to discover laundry applications and other potential probiotic properties of this strain. Partial characterization of B. licheniformis NWMCC0046 showed that its protease has good activity both in alkaline environments and at low temperatures. Also, the protease is compatible with commercial detergents and can be used as a detergent additive for effective stain removal at low temperatures. The complete genome sequence of B. licheniformis NWMCC0046 is comprised of a 4,321,565 bp linear chromosome with a G + C content of 46.78% and no plasmids. It had 4504 protein-encoding genes, 81 transfer RNA (tRNA) genes, and 24 ribosomal RNA (rRNA) genes. Genomic analysis revealed genes involved in exocellular enzyme production and probiotic properties. In addition, genomic sequence analysis revealed specific genes encoding carbohydrate metabolism pathways, resistance, and cold adaptation capacity. Overall, protease properties show its potential as a detergent additive enzyme. The complete genome sequence information of B. licheniformis NWMCC0046 was obtained, and functional prediction revealed its numerous probiotic properties.
  16. Liu C, Zhang F, Wang X, Chan NW, Rahman HA, Yang S, et al.
    PMID: 34993791 DOI: 10.1007/s11356-021-17886-5
    Surface water quality deterioration is commonly associated with environmental changes and human activities. Although some research has been carried out to evaluate the relationship between various influencing factors and water quality, there is still very little scientific understanding on how to accurately define the key factors of water quality deterioration. This study aims to quantify the impact of environmental factors and land use land cover (LULC) changes on water quality in the Ebinur Lake Watershed, Xinjiang, China. A total of 20 water parameters were used to calculate the Environment Water Quality Index (CWQI). Meanwhile, the partial least squares-structural equation model (PLS-SEM) was used to quantify the impact of eleven factors influencing water quality in the watershed. About 33.3% of the monitoring points that located mostly in the downstream region with dominant anthropogenic activities were detected as poor quality. There were no obvious temporal changes in water quality from 2016 to 2019. The PLS-SEM simulation shows that the latent variable "land use/cover types" (path coefficient =  - 0.600) and "Environmental factor" (path coefficient =  - 0.313) are two major factors affected water quality in the Ebinur Lake Watershed, with a strong explanatory power to water quality change (R2 = 0.727). In the latent variable "Environmental factors", the "NDVI" and "night light brightness value" have a great influence on water quality, with the weights of 0.451 and 0.427, respectively. Correspondingly, the "farmland" and "forest land" within the latent variable of "Land use/cover type" have a considerable impact water quality, with the weights of 0.361 and - 0.340, respectively. In conclusion, the influence of anthropogenic activities on surface water quality of the Ebinur Lake Watershed is greater than that of environmental factors. Compared with the traditional multivariate statistical method, PLS-SEM provides a new insight for quantifying the complex relationship between different influencing factors and water quality.
  17. Liu C, Zhang F, Jim CY, Johnson VC, Tan ML, Shi J, et al.
    Sci Total Environ, 2023 Mar 29;878:163127.
    PMID: 37001663 DOI: 10.1016/j.scitotenv.2023.163127
    Suspended particulate matter (SPM) in the brackish Ebinur Lake of arid northwest China profoundly affect its water quality and watershed habitat quality. However, the actual driving mechanisms of the Lake's SPM changes remain unclear. Therefore, the purpose of this study is to explore the controlling factors driving the variability of SPM in the Ebinur Lake. This study constructed month-by-month SPM maps of Ebinur Lake based on time-series remote-sensing imageries and SPM inversion model. Thirty-four factors that might influence SPM changes were extracted, and the Partial Least Squares Structural Equation Modeling (PLS-SEM), suitable for complex relationships and factor interactions, was applied to identify the relative influence of each factor quantitatively. The results showed: (1) a clear increasing trend of SPM concentration in Ebinur Lake from 2011 to 2020; (2) that SPM changes were influenced by external and internal factors, explaining 48.2 % and 46.9 % of the changes, respectively; (3) that, to the external factors, meteorological factors exerted the greatest influence on SPM (relative contribution of 38.9 %); that, to the internal factors, water salinity imposed the greatest influence on SPM (relative contribution of 43.3 %); (4) that, among the meteorological factors, the measured variable Alashankou wind speed expressed the most significant positive effect on SPM (weighting coefficient of 0.894), and sulfate generated the strongest positive effect on SPM (weighting coefficient of 0.791) among the water salinity factors. Hence, the quantitative identification of drivers of SPM changes in Ebinur Lake could provide a new perspective to investigate the driving mechanisms of lake water quality in arid areas and inform their sustainable restoration and management.
  18. Wang W, Zhang F, Zhao Q, Liu C, Jim CY, Johnson VC, et al.
    J Environ Manage, 2023 Oct 01;343:118249.
    PMID: 37245314 DOI: 10.1016/j.jenvman.2023.118249
    Understanding the main driving factors of oasis river nutrients in arid areas is important to identify the sources of water pollution and protect water resources. Twenty-seven sub-watersheds were selected in the lower oasis irrigated agricultural reaches of the Kaidu River watershed in arid Northwest China, divided into the site, riparian, and catchment buffer zones. Data on four sets of explanatory variables (topographic, soil, meteorological elements, and land use types) were collected. The relationships between explanatory variables and response variables (total phosphorus, TP and total nitrogen, TN) were analyzed by redundancy analysis (RDA). Partial least squares structural equation modeling (PLS-SEM) was used to quantify the relationship between explanatory as well as response variables and fit the path relationship among factors. The results showed that there were significant differences in the TP and TN concentrations at each sampling point. The catchment buffer exhibited the best explanatory power of the relationship between explanatory and response variables based on PLS-SEM. The effects of various land use types, meteorological elements (ME), soil, and topography in the catchment buffer were responsible for 54.3% of TP changes and for 68.5% of TN changes. Land use types, ME and soil were the main factors driving TP and TN changes, accounting for 95.56% and 94.84% of the total effects, respectively. The study provides a reference for river nutrients management in arid oases with irrigated agriculture and a scientific and targeted basis to mitigate water pollution and eutrophication of rivers in arid lands.
  19. Li X, Zhang F, Shi J, Chan NW, Cai Y, Cheng C, et al.
    Environ Sci Pollut Res Int, 2024 Feb;31(6):9333-9346.
    PMID: 38191729 DOI: 10.1007/s11356-023-31702-2
    As an inland dryland lake basin, the rivers and lakes within the Lake Bosten basin provide scarce but valuable water resources for a fragile environment and play a vital role in the development and sustainability of the local societies. Based on the Google Earth Engine (GEE) platform, combined with the geographic information system (GIS) and remote sensing (RS) technology, we used the index WI2019 to extract and analyze the water body area changes of the Bosten Lake basin from 2000 to 2021 when the threshold value is -0.25 and the slope mask is 8°. The driving factors of water body area changes were also analyzed using the partial least squares-structural equation model (PLS-SEM). The result shows that in the last 20 years, the area of water bodies in the Bosten Lake basin generally fluctuated during the dry, wet, and permanent seasons, with a decreasing trend from 2000 to 2015 and an increasing trend between 2015 and 2019 followed by a steadily decreasing trend afterward. The main driver of the change in wet season water bodies in the Bosten Lake basin is the climatic factors, with anthropogenic factors having a greater influence on the water body area of dry season and permanent season than that of wet season. Our study achieved an accurate and convenient extraction of water body area and drivers, providing up-to-date information to fully understand the spatial and temporal variation of surface water body area and its drivers in the basin, which can be used to effectively manage water resources.
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