[Ecosystem Services Assessment and Multi-Scenario Prediction in Liaoning Province from 2000 to 2020].

Ecosystem service assessment and prediction play a crucial role in sustainable regional development and resource management. Liaoning Province, as a typical representative of Northeast China, faces rapid development challenges such as urbanization, industrialization, and agricultural modernization. At the same time, there is an urgent need for a deeper understanding of the evolution trends of its ecosystems and their impact on ecosystem services. This study employed the InVEST-Markov-PLUS model to conduct simulated research on the assessment of past and future ecosystem services and multi-scenario predictions in Liaoning Province. Based on the land-use changes in Liaoning Province from 2000 to 2020, the InVEST model was used to evaluate the spatiotemporal variations in carbon storage, soil conservation, and water yield in the ecosystem services from 2000 to 2020. Additionally, the equivalent factor method was employed to calculate the value of ecosystem services in Liaoning Province during the same period. Furthermore, by integrating the PLUS and Markov models with the actual conditions of Liaoning Province, four land-use development scenarios for 2030 were constructed, including natural development, economic priority, ecological protection, and cropland protection. The land-use distribution and the quantities and values of ecosystem services under these scenarios were simulated. The study revealed the following findings： ① From 2000 to 2020, carbon storage and soil retention in Liaoning Province showed an overall increasing trend, whereas water yield exhibited a fluctuating decrease trend initially, followed by an increase and then another decrease. ② Carbon storage and soil retention in Liaoning Province showed higher values in the eastern mountainous areas and western hilly regions, with lower values in the central region. Water yield showed a decreasing trend from east to west. ③ The value of ecosystem services increased from 547.94 billion yuan to 565.53 billion yuan, with a total increase of 17.58 billion yuan during the study period. All four types of services showed an increase, with cultural services experiencing the fastest change. ④ In 2030, carbon storage and soil retention in Liaoning Province decreased in all scenarios except for in the ecological protection scenario. Water yield increased only in the cropland protection scenario, whereas it decreased in the other three scenarios. The value of ecosystem services in the study area increased in all scenarios except for in the economic priority scenario.

Spatial risk of Haemaphysalis longicornis borne Dabieshan tick virus (DBTV) in China.

The uncertainty and unknowability of emerging infectious diseases have caused many major public health and security incidents in recent years. As a new tick-borne disease, Dabieshan tick virus (DBTV) necessitate systematic epidemiological and spatial distribution analysis. In this study, tick samples from Liaoning Province were collected and used to evaluate distribution of DBTV in ticks. Outbreak points of DBTV and the records of the vector Haemaphysalis longicornis in China were collected and used to establish a prediction model using niche model combined with environmental factors. We found that H. longicornis and DBTV were widely distributed in Liaoning Province. The risk analysis results showed that the DBTV in the eastern provinces of China has a high risk, and the risk is greatly influenced by elevation, land cover, and meteorological factors. The risk geographical area predicted by the model is significantly larger than the detected positive areas, indicating that the etiological survey is seriously insufficient. This study provided molecular and important epidemiological evidence for etiological ecology of DBTV. The predicted high-risk areas indicated the insufficient monitoring and risk evaluation and the necessity of future monitoring and control work.

Myopia: Its Status and Environmental Correlations Among School Students in Fushun, China.

Our objective was to investigate the status and influence of myopia among primary school students in Fushun, Liaoning Province, China. We aimed to provide a theoretical and epistemological basis for implementing myopia prevention initiatives. We employed cluster sampling and surveyed 5216 primary school students from grades 1-6 across eight primary schools in Fushun City. Our participants included 2606 males and 2610 females whose average age was 9.25 (SD = 1.76) years. The rate of myopia among these primary school students was 29.54%, with statistically significant differences among students of different genders and grades. Logistic regression analysis further identified several possible protective factors, including appropriate reading distance, adequate home lighting, regular breaks between classes, conscientious eye exercises, and daily outdoor physical activity. Conversely, the associated risk factors were being female, being in a higher grade level, spending more than 4 hours on homework, occasionally reading while lying down, and having one or both parents with myopia. Overall, our results indicated a high incidence of myopia, highlighting the need for scientifically controlled interventions to manage and mitigate the occurrence and progression of myopia in this population.

Unraveling the paternal genetic structure and forensic traits of the Hui population in Liaoning Province, China using Y-chromosome analysis.

The Hui people are the second-largest ethnic minority in China, and they are distributed throughout the country. A previous study explored the paternal genetic structure of the Hui population in nine different regions of China, but it overlooked the Liaoning province. In this study, we examined the paternal genetic makeup and forensic traits of the Hui population in Liaoning province by analyzing 157 Y-chromosome single nucleotide polymorphisms (Y-SNPs) and 26 short tandem repeats (Y-STRs). We successfully genotyped 282 unrelated male individuals from the Hui population of Liaoning province using the SNaPshot® single base extension assay and Goldeneye™ Y26 system kit (PEOPLESPOT R&D, Beijing, China). The results revealed high haplotypic diversity (0.9998) and identified 46 terminal haplogroups for the Hui population. Additional analyses, such as heat maps, principal component analysis (PCA), genetic distance (FST), Multidimensional scaling (MDS) analysis, and median-joining network (MJ) analysis, showed that the Hui population could be classified into three groups: Northwest Hui populations (NWH), including Liaoning, Xinjiang, Qinghai, Gansu, Ningxia, Shaanxi, and Henan; Hui populations from Sichuan and Shandong (SSH); and Yunnan Hui populations (YNH). Pairwise genetic distance (Rst) comparisons with other Chinese populations revealed that the Hui population displayed genetic affinity with the Han population. The comprehensive understanding of the Hui population in Liaoning province, explored by Y-SNPs and Y-STRs, can be utilized to interpret their genetic structure and enhance the accuracy of forensic databases.

[Improvement and application on the estimation model of windbreak and sand fixation function based on remote sensing soil moisture factor]. / åŸºäºŽé¥æ„ŸåœŸå£¤æ¹¿åº¦å› å­çš„é˜²é£Žå›ºæ²™åŠŸèƒ½ä¼°ç®—æ¨¡åž‹æ”¹è¿›åŠåº”ç”¨.

Soil moisture factor is one of the important parameters in the study of wind and sand fixation functions of ecosystems. Traditional methods often use potential evaporation, rainfall, and irrigation observed by meteorological stations to estimate soil moisture, which has significant limitations in terms of spatial continuity and data availability. Based on the development of remote sensing technology in soil moisture detection, we selected four remote sen-sing indicators for soil moisture (MODIS evapotranspiration ratio method, SMAP soil moisture ratio method, visible shortwave infrared drought index method, and remote sensing humidity index method) to improve the estimation of soil moisture factor in the modified wind erosion equation model (RWEQ), and used the improved algorithm to analyze the spatiotemporal variations and driving factors of wind prevention and sand fixation services in the northwest region of Liaoning Province from 2001 to 2021. The results showed that the MODIS evapotranspiration ratio method had the highest correlation with traditional meteorological methods in calculating soil moisture. The formula obtained by fitting the two could be used to improve the calculation of soil moisture factor in the RWEQ model. From 2001 to 2021, the wind prevention and sand fixation capacity in the northwest region of Liaoning Province showed strong spatial distribution characteristics in the northern and eastern regions, while weak in the central and western regions. According to Mann-Kendall trend testing, 72.7% of the regions in northwest Liaoning Province were showing an upward trend in their ability to prevent wind and fix sand. The application of geographic detector models for driving factor analysis showed that the change in wind and sand fixation capacity was a process of multiple factors interacting with each other, greatly influenced by soil type, annual wind speed, and economic development level. Moreover, the interaction between various driving factors had a higher impact on wind and sand fixation than that of single factors. The results could improve the RWEQ model estimation and provide technical support for the long-term analysis of ecological function formation mechanisms and driving forces in the northwest region of Liaoning.

Epidemiological characteristics and spatiotemporal clustering of scarlet fever in Liaoning Province, China, 2010-2019.

BACKGROUND: To explore the epidemiological characteristics and spatiotemporal distribution of scarlet fever in Liaoning Province, which could provide scientific evidence for the formulation and improvement of prevention and control strategies and measures. METHODS: Data on scarlet fever cases and population were obtained from the China Information System for Disease Control and Prevention in Liaoning Province between 2010 and 2019. We examined the spatial and spatiotemporal clusters of scarlet fever across Liaoning Province using the Moran's I, local indicators of spatial association, local Gi* hotspot statistics, and Kulldorff's retrospective space-time scan statistical analysis. RESULTS: Between 1st January 2010 and 31st December 2019, 46,652 cases of scarlet fever were reported in Liaoning Province, with an annual average incidence of 10.67 per 100,000. The incidence of scarlet fever had obvious seasonality with high incidence in early summer June and early winter December. The male-to-female ratio was 1.53:1. The highest incidence of cases occurred in 3-9 year old children. The most likely spatiotemporal cluster and the secondary clusters were detected in urban regions of Shenyang and Dalian, Liaoning Province. CONCLUSIONS: The incidence of scarlet fever has obvious spatiotemporal clustering, with the high-risk areas mainly concentrated in urban area of Shenyang and Dalian, Liaoning Province. Control strategies need to focus on high-risk season, high-risk areas and high-risk populations in order to reduce the incidence of scarlet fever.

Antibiotic resistance characteristics and risk factors analysis of Helicobacter pylori strains isolated from patients in Liaoning Province, an area in North China.

Background: The prevalence of Helicobacter pylori (H. pylori) keeps rising while the eradication rate continues to decline due to the increasing antibiotic resistance. Regional variations of antimicrobial resistance to H. pylori have been recommended by guidelines in recent years. This study aims to investigate the antibiotic resistance rate of H. pylori and its association with infected subjects' characteristics in Liaoning Province, an area in north China. Methods: Gastric tissues from 178 H. pylori positive participants without previous antibiotic use within four weeks were collected for H. pylori culture. Antibiotic susceptibility to furazolidone (AOZ), tetracycline (TC), levofloxacin (LFX), metronidazole (MET), clarithromycin (CLA), and amoxicillin (AMX) were examined with the agar dilution method. Associations between H. pylori resistance and patient characteristics were further analysed. Results: No resistance was observed in AOZ or TC. For LFX, MET, CLA, and AMX, the overall resistance rates were 41.10%, 79.14%, 71.78%, and 22.09% respectively. There were significant differences between resistance to CLA and MALToma (P = 0.021), and between resistance to MET and age (P < 0.001). Conclusions: The primary resistant rates of LEX, MET, CLA, and AMX were relatively high in Liaoning. Treatment effectiveness improvement could be achieved by prior antimicrobial susceptibility tests before antibiotic prescription.

Analysis of the diversity of tick-borne viruses at the border areas in Liaoning Province, China.

Ticks play a significant role in transmitting arboviruses, which pose a risk to human and animal health. The region of Liaoning Province, China, with abundant plant resources with multiple tick populations, has reported several tick-borne diseases. However, there remains a scarcity of research on the composition and evolution of the tick virome. In this study, we conducted the metagenomic analysis of 561 ticks in the border area of Liaoning Province in China and identified viruses related to known diseases in humans and animals, including severe fever with thrombocytopenia syndrome virus (SFTSV) and nairobi sheep disease virus (NSDV). Moreover, the groups of tick viruses were also closely related to the families of Flaviviridae, Parvoviridae, Phenuiviridae, and Rhabdoviridae. Notably, the Dabieshan tick virus (DBTV) of the family Phenuiviridae was prevalent in these ticks, with the minimum infection rate (MIR) of 9.09%, higher than previously reported in numerous provinces in China. In addition, sequences of tick-borne viruses of the family Rhabdoviridae have first been reported from the border area of Liaoning Province, China, after being described from Hubei Province, China. This research furthered the insight into pathogens carried by ticks in the northeastern border areas of China, offering epidemiological information for possible forthcoming outbreaks of infectious diseases. Meanwhile, we provided an essential reference for assessing the risk of tick bite infection in humans and animals, as well as for exploring into the evolution of the virus and the mechanisms of species transmission.

[Influencing factors and scenario forecasting of carbon emissions in Liaoning Province, China]. / è¾½å®çœç¢³æŽ’æ”¾å½±å“å› ç´ åŠæƒ æ™¯é¢„æµ‹.

Liaoning is a province with large energy consumption and carbon emissions. Management of carbon emissions in Liaoning Province is crucial to realizing China's carbon peaking and carbon neutrality goals. To clarify the driving factors and trends of carbon emissions in Liaoning Province, we analyzed the impacts of six factors on carbon emissions in Liaoning Province through STIRPAT model based on carbon emission data from 1999 to 2019. The impact factors included population, urbanization rate, per-capita GDP, secondary industry ratio, energy consumption per unit GDP, and coal consumption ratio. Nine forecasting scenarios with three economic and population growth models and three emission reduction models were set up, and their carbon emission trends under the above nine forecasting scenarios were predicted. The results showed that the main driving factor of carbon emissions in Liaoning Province was per-capita GDP, and that the main inhibitor was energy consumption per unit GDP. The carbon peak year in Liaoning Province would fluctuate between 2020 and 2055 under the nine forecasting scenarios, with peak values ranging from 544 to 1088 million tons CO2. The medium economic development growth and high carbon emission reduction scenario would be the optimal carbon emission scenario in Liaoning Province. Under this forecasting scenario, Liaoning Province could achieve carbon peak (611 million tons CO2) by 2030 without affec-ting economic development through optimizing energy structure and controlling the intensity of energy consumption. Our results would be helpful for seeking the best path for carbon emission reduction in Liaoning Province and providing a reference for its realization of carbon peaking and carbon neutrality goals.

Spatial-temporal evolution of "Production-Living-Ecologica" function and layout optimization Strategy in China: a case study of Liaoning Province, China.

Based on the land remote sensing monitoring data from 2000 to 2020, this paper quantitatively analyzed the spatio-temporal evolution of "production-living-ecological" functions and the geographical dominance degree of Liaoning Province using a geospatial model, and put forward some policy suggestions. The results showed that the living function area increased by 2957 km2, the ecological function area increased by 2011 km2, and the production function area was reduced by 4968 km2. The spatial distribution of production function was higher in the middle part, lower in the east and west, and the functional index was between 0.01 and 0.21. The living function level is distributed from east to west, and the function index decreases gradually from plain to surrounding mountains. There was a significant correlation between the level of ecological function and topography, and the functional index ranged from 0.01 to 0.65. The advantageous areas of production function are located in the central plain of Liaoning and Dalian, the advantageous areas of living function are located in the central part of Liaoning, and the advantageous areas of ecological function are located in the eastern and western parts of Liaoning. Social and economic level, natural ecological environment, and regional development policy are the important factors that affect the layout of "production-production-production" function. It is suggested that the provincial government should build a comprehensive management system across administrative regions, design the ecological and environmental protection policy framework of "production-living-ecological" function, and improve the ecological protection coordination mechanism.

[Spatial and temporal variation in normalized difference vegetation index of vegetation in Liaoning Province from the perspective of ecogeographic zoning]. / 生态地理分区视角下的辽宁省植被归一化植被指数的时空变化.

Normalized difference vegetation index (NDVI) is an important indicator reflecting vegetation cover and growth status. It is of significance for regional ecological conservation and natural resource management to investigate its spatial and temporal variation trends and response to ecological factors. We divided Liaoning Province into three ecological geographical regions, including northwest agro-pastoral zone, central agricultural zone, and eastern agroforestry zone. Based on remote sensing, vegetation, climate, topography and human activities, we used trend analysis and geographic probe model to examine the spatial and temporal trends of NDVI in Liaoning Province, and analyzed the intensity and interaction mechanism of each driver on the spatial distribution pattern of NDVI. The results showed that the annual average NDVI in Liaoning Province from 2001 to 2020 was 0-0.92, showing a distribution pattern of high in the east and low in the west, high in the inland and low in the coastal land. The overall trend of vegetation cover was increasing, and the NDVI increasing areas were mainly concentrated in the northwest agro-pastoral zone and the eastern agroforestry zone, the NDVI reduction areas were mainly concentrated at the border between the central agricultural zone and the eastern agroforestry zone, as well as in the coastal area of the eastern agroforestry zone. The annual average NDVI change varied among the three ecological-geographic zones. The NDVI of the northwest agro-pastoral zone from 2001 to 2020 were generally low, but showed a fluctuating trend of slow increase. The NDVI of the eastern agroforestry zone was high overall, and the interannual variation of NDVI was generally stable. The distribution of high and low NDVI in the central agricultural zone was staggered, and the interannual variation of NDVI showed a decreasing trend. Natural factors were the key drivers of NDVI changes in the three ecogeographic zones, with cumulative temperature and precipitation having the greatest influence. The interactions between the factors were all mutually and nonlinearly enhanced.

New record of Tylodelphys metacercariae (Diplostomidae) from Perccottus glenii (Odontobutidae) and their phylogenetic assessment.

Metacercariae of Tylodelphys sp. were found in the abdominal cavity of the Chinese sleeper (Perccottus glenii) collected in Liaoning Province and Inner Mongolia Autonomous Region of China. The sequences of the mitochondrial cox1 gene and ribosomal ITS1-5.8S rDNA-ITS2 region were obtained and used for molecular identification and phylogenetic assessment of this parasite species. Results of phylogenetic analyses based on ITS and cox1 markers showed that the metacercariae of Tylodelphys sp. ex P. glenii from China were conspecific with specimens of Tylodelphys sp. collected by Sokolov et al. (2013) from the same fish-host species captured earlier in West Siberia, Russia. The examined Tylodelphys sp. ex. P. glenii is the only member of the genus whose metacercariae parasitise the abdominal cavity of fish in northern Eurasia. Tylodelphys sp. ex P. glenii clustered with T. darbyi, T. immer, T. podicipina, and Tylodelphys sp. of Soldánová et al., 2017 based on mitochondrial DNA markers, and with T. darbyi, T. immer, T. kuerepus, and T. schreuringi using nuclear DNA markers.

Genomic insights into the genetic structure and population history of Mongolians in Liaoning Province.

The Mongolian population exceeds six million and is the largest population among the Mongolic speakers in China. However, the genetic structure and admixture history of the Mongolians are still unclear due to the limited number of samples and lower coverage of single-nucleotide polymorphism (SNP). In this study, we genotyped genome-wide data of over 700,000 SNPs in 38 Mongolian individuals from Fuxin in Liaoning Province to explore the genetic structure and population history based on typical and advanced population genetic analysis methods [principal component analysis (PCA), admixture, FST, f 3 -statistics, f 4 -statistics, qpAdm/qpWave, qpGraph, ALDER, and TreeMix]. We found that Fuxin Mongolians had a close genetic relationship with Han people, northern Mongolians, other Mongolic speakers, and Tungusic speakers in East Asia. Also, we found that Neolithic millet farmers in the Yellow River Basin and West Liao River Basin and Neolithic hunter-gatherers in the Mongolian Plateau and Amur River Basin were the dominant ancestral sources, and there were additional gene flows related to Eurasian Steppe pastoralists and Neolithic Iranian farmers in the gene pool of Fuxin Mongolians. These results shed light on dynamic demographic history, complex population admixture, and multiple sources of genetic diversity in Fuxin Mongolians.

Effect of strip clear-cutting on the natural regeneration of Pinus tabuliformis plantations in northeastern China.

In this study, the effect of strip clear-cutting on the natural regeneration performance of mature Pinus tabuliformis plantations in the three locations in western part of the Liaoning Province was analyzed. Strip clear-cutting, with clear-cut and uncut strip widths of 15, 20, 25 m, and 10 and 18 m, respectively, was conducted in spring 2014, and control, in each study location. Field investigations were conducted in 2017. Fifteen sample plots with sizes of 4 m2 (2 m × 2 m) were established in each clear-cut strip, uncut strip, and control. One to four saplings were randomly selected to measure the current year increment, and the lengths and numbers for branch of the first whorl. Three saplings were randomly selected from the center of the strip to measure the photosynthetic rate. Three sample plots with sizes of 4 m2 (2 m × 2 m) and 1 m2 (1 m × 1 m) were developed in each strip and control to determine the biodiversity of shrubs and herbs as well as the water content of the decomposition and semi-decomposition layer. The results show that the current year increment and branch length of the first whorl can be ordered as follows: clear-cut strips > control > uncut strips. Number of the branches of the first whorl can be ordered as follows: clear-cut strips > uncut strips > control. Strip clear-cutting was a statistically significant treatment for the current year increment and length and number of branches of the first whorl. The saplings from the clear-cut strip with a width of 25 m have the largest photosynthetic capacity compared with those from the other strips and control. The transpiration rates of the large, medium, and small saplings from clear-cut strips are the largest and those of saplings from the control are the smallest. The water content of the decomposition and semi-decomposition layer in the control is the highest, but no significant difference was confirmed between the strip clear-cutting approaches.

[Approach and evidence-based study of provincial-level eco-economic development planning]. / çœçº§å°ºåº¦ç”Ÿæ€ç»æµŽå‘å±•è§„åˆ’ç¼–åˆ¶æ–¹æ³•åŠå®žè¯ç ”ç©¶.

The development of ecological economy is one of the core elements of the ecological civilization system and an essential means to optimize the social-ecological systems. The key to developing ecological economy lies in preparing the development plan to realize concrete implementation. Given the objective and realistic demand for the development of ecological economy, it is critically needed to propose the approach of eco-economic planning and conduct empirical research. We sorted out the connotation of ecological economy, proposed the general idea of "object identification-resource evaluation-principal construction-target setting-task content-mechanism guarantee", and proposed three work modules, including "preliminary preparation, content design, review & approval", and finally built a technical system for the preparation of provincial-scale ecological economy planning. We outlined the 14th Five-Year Plan for Eco-Economic Development of Liaoning Province, and discussed critical issues such as the connotation definition and index system establishment for eco-economic development plan. This work provides ideas for the scientific and standardized preparation of ecological economy development plan at the provincial level in China.

Variations of high temperature from 1961 to 2019 in Liaoning Province, China.

Better understanding of the changes in high-temperature would be helpful for improving the monitoring of hot extremes and mitigating their impacts towards a sustainable regional development. Based on the data of daily maximum temperature, relative humidity, and wind speed from 23 meteorological stations in Liaoning Province in summer (June to August) during 1961 to 2019, we analyzed the variations of daily maximum temperature (Tx), daily maximum apparent temperature (AT), and heat wave events (3 consecutive days ≥35 ℃). The effects of meteorological variables on daily maximum apparent temperature were examined by the grey relational analysis method. The results showed that the average Tx (AT) of all stations was 26.19 (27.35), 28.29 (31.13), and 28.14 (31.08) ℃, respectively, while the average trends in Tx (AT) was 0.17 (0.38), 0.20 (0.35), and 0.17 (0.28) ℃·(10 a)-1, respectively, in June, July and August during 1961 to 2019. The average AT and its trends in each month were larger than the Tx. From June to August, there was significant negative correlation between Tx (AT) and its climate tendency rate, indicating that the range of warming in the area with low Tx and AT was larger than that in the area with high values. We should therefore pay more attention to the protection against high temperature in the low value area of Tx and AT in summer. From June to August, the average number of hot days with AT ≥ 35 ℃ was 0.85 d·a-1, with an average increase rate of 0.20 d·(10 a)-1. Hot days were signifi-cantly more in June and July than in August. The area with more hot days was mainly located in the west of Liaoning, and the area with less hot days was mainly located in the south and coastal areas. The number of heat wave events was 0.071 times per year, which was large in western Liaoning. There was no high temperature heat wave event in the southern and coastal areas of Liaoning. The correlation analysis showed that the AT in June was strongly associated with relative humidity, while AT in July and August had the closest relationship with Tx. Therefore, the importance of relative humidity on the monitoring and forecasting of high temperature and hot weather cannot be ignored.

Virome analysis of ticks in a forest region of Liaoning, China: characterization of a novel hepe-like virus sequence.

BACKGROUND: Ticks (class Arachnida, subclass Acari) are vectors of transmitting a broad range of pathogenic microorganisms, protozoa, and viruses affecting humans and animals. Liaoning Province is rich in forests where different animals and, abundant Haemaphysalis longicornis ticks exist. METHODS: Using viral metagenomics, we analyzed the virome in 300 Haemaphysalis longicornis ticks collected from June to August 2015 in the forested region of Liaoning Province, China. RESULTS: From the 300 ticks, 1,218,388 high-quality reads were generated, of which 5643 (0.463%) reads showed significant sequence identity to known viruses. Sequence and phylogenetic analysis revealed that viral sequences showing a close relationship with Dabieshan tick virus, Aleutian mink disease virus, adeno-associated virus, Gokushovirus, avian gyrovirus 2 were present in the virome of these ticks. However, the significance of these viruses to human and animal health requires further investigation. Notably, an hepe-like virus, named tick-borne hepe-like virus sequence, was obtained and was highly prevalent in these ticks with a rate of 50%. Nevertheless, one constraint of our study was the limited geographical distribution of the sampled ticks. CONCLUSION: Our study offers an overview of the virome in ticks from a forest region of Liaoning Province and provides further awareness of the viral diversity of ticks.

Maternal exposure to sulfur dioxide before and after conception and the risk of hypospadias in offspring.

As far as we know, there have been no studies exploring the association between maternal sulfur dioxide (SO2 ) exposure and the risk of hypospadias in offspring. We aimed to evaluate this association during the 3 months before conception and the first trimester. A population-based case-control study was conducted in male infants, consisting of 348 cases of hypospadias and 4023 controls. Maternal exposure to SO2 , particulate matter with aerodynamic diameters ≤10 µm (PM10 ), and nitrogen dioxide (NO2 ) was assessed by averaging the concentrations recorded at all stations in the mother's city of residence. Air pollutants were tested for multicollinearity using variance inflation factor analysis. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multivariable logistic regression models. SO2 exposure during the 3 months before conception was significantly associated with the risk of hypospadias (highest tertile: OR = 7.40, 95% CI: 3.54-15.62). When focusing on shorter exposure windows, similar associations were observed for SO2 exposure in the first and second month before and the first month after conception. In conclusion, maternal exposure to SO2 during the 3 months before and the first and second months after conception may increase the risk of hypospadias in offspring.

Exploring the optimal crop planting structure to balance water saving, food security and incomes under the spatiotemporal heterogeneity of the agricultural climate.

Crop planting provided foods, generated incomes, and consumed water resources to different extents under different spatiotemporal agroclimatic conditions. For balancing three aspects, targeting the rice, maize, wheat, and sorghum planted in Liaoning during the recent two decades, we established an integrated research framework consisting of water footprint (WF) accounting, clustering analysis, and fuzzy optimization programming to quantify the temporal trends and spatial distribution of water footprints, and optimized the planting structure under the different spatiotemporal agroclimatic conditions. Results showed that the maximum water footprint differences were 4166.73 m3/t and 4790.71 m3/t in spatial distribution and temporal series, respectively. Based on precipitation, we established 12 agroclimatic scenarios according to K-Means clustering. The fuzzy optimization result indicated that the planting area percent ranges of maize, wheat, rice, and sorghum in Liaoning province were 4.96%-98.62%, 0.00%-8.55%, 0.00%-18.18%, and 0.00%-95.04%, respectively under the different spatiotemporal conditions. This study's methods and results help make targeted decisions related to grain planting structure while considering the complex spatial-temporal conditions.

[Application of evaporative demand drought index (EDDI) in drought identification of Liaoning Province, China]. / 蒸发需求干旱指数(EDDI)在辽宁省干旱识别中的应用.

The evaporative demand drought index (EDDI) is a multi-scale drought index developed from the atmospheric evaporation demand (E0). EDDI is independent of precipitation and suitable to different underlying surfaces, which can well capture water stress signals at different time scales. Based on the meteorological observation data at 52 stations in Liaoning Province from 1961 to 2018, we estimated daily E0, calculated EDDI at six time scales (annual, growing season, spring, summer, autumn and winter), and further identified the interannual variability of drought occurrence in Liaoning Province for the past 58 years. The results showed that EDDI had obvious interannual variation, with two high concentration periods in multiple time scales. In the 1960s, when there were many years and serious drought in Liaoning Province, high EDDI values were concentrated at the five time scales (annual, growing season, spring, autumn and winter). 2014-2018 was another relatively concentrated period of EDDI high value at all time scales except winter. In 1981-1982, the values of EDDI were high at the time scales of the annual, growth season, summer and autumn. The periods of 1963-1965 (except summer), 1972-1973 (growth season, summer), 1989-1990 (annual, growth season, spring and winter), 1997-1998 (annual, growth season and summer), 2004-2005 (spring and winter) and 2013-2014 (annual, growth season and autumn) occurred abrupt alternation from dry to wet or from wet to dry. In 1985-1987, 1993-1995 and 2005-2013, Liaoning Province had obvious dry gaps.