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The study of land use/land cover (LULC) changes plays an important guiding role in regional ecological protection and sustainable development policy formulation. Especially, the simulation study of the future scenarios may provide a hypothetical prospect which could help to determine the rationality of current and future development policies. In order to support the ecological protection and high-quality development strategy of the Yellow River Basin proposed by the Chinese government, the Great Yellow River Region (GYRR) is taken as the research area. The multi-period land cover data are used to carry out the analysis of land cover changes. The MOLUSCE (Modules for Land Use Change Simulations) plugin of QGIS software is used to carry out a land cover simulation and prediction study for 2030 on a large regional scale. Finally, the land cover status in the mountainous areas of the GYRR is analyzed thoroughly. The results show a decrease in agricultural land and increase in forest land during the past 25 years from 1995 to 2020, and that this trend would continue to 2030. The landscape pattern index analysis indicates that the land cover in the GYRR has become more and more abundant, and the degree of fragmentation has become higher and higher, while landscape patches were more evenly distributed in the GYRR until 2020. On the other hand, the landscape pattern would tend to achieve a certain degree of stability in 2030. The decrease in farmland and the increase in forest land illustrate the efforts made by the GYRR residents and governments in improving the ecological environment under the policy of returning farmland to forests and grasslands. On the other hand, although the residential areas in the mountainous areas are far away from the mountain hazard historical points because of consideration during construction with the help of the development of disaster prevention and mitigation over the years, there could be problem of rapid and haphazard urbanization. It is worth mentioning here that the harmonious and sustainable development of people and land in the GYRR mountainous areas still requires a large amount of effort.

To solve the decline of rural development, an effective development mode is indispensable. Rural tourism is a key approach in poverty alleviation and rural revitalization in China. The comparative analysis of the 50 most beautiful villages as awarded by the Ministry of Agriculture of China shows that the rural tourism development mode with the integration of production, village and scenery realizes the sustainable development of rural areas. To examine this further, this study takes Qinggangshu Village as a case study and constructs a systematic rural tourism-based sustainable development model called Aims, Measures, Demands (AMD). The results show that Qinggangshu Village has changed from a single farming village to a mature tourism village due to the Beautiful Village Project’s support. In this process, the production, village and scenery have made great change by promoting rural tourism development. Land consolidation and land asset activation is at the core of rural transformation and development, which can drive the reorganization and flow of labor and capital and can also make rebuilt villages more comfortable living spaces. Furthermore, a good landscape environment can stimulate development and competition. This study could be used as an example of attaining sustainable development for other rural areas.

Porcine rotavirus A (PoRVA) is an enteric pathogen capable of causing severe diarrhea in suckling piglets. Investigating the prevalence and molecular characteristics of PoRVA in the world, including China, is of significance for disease prevention. In 2022, a total of 25,768 samples were collected from 230 farms across China, undergoing porcine RVA positivity testing. The results showed that 86.52% of the pig farms tested positive for porcine RVA, with an overall positive rate of 51.15%. Through the genetic evolution analysis of VP7, VP4 and VP6 genes, it was revealed that G9 is the predominant genotype within the VP7 segment, constituting 56.55%. VP4 genotypes were identified as P[13] (42.22%), P[23] (25.56%) and P[7] (22.22%). VP6 exhibited only two genotypes, namely I5 (88.81%) and I1 (11.19%). The prevailing genotype combination for RVA was determined as G9P[23]I5. Additionally, some RVA strains demonstrated significant homology between VP7, VP4 and VP6 genes and human RV strains, indicating the potential for human RV infection in pigs. Based on complete genome sequencing analysis, a special PoRVA strain, CHN/SD/LYXH2/2022/G4P[6]I1, had high homology with human RV strains, revealing genetic reassortment between human and porcine RV strains in vivo. Our data indicate the high prevalence, major genotypes, and cross-species transmission of porcine RVA in China. Therefore, the continuous monitoring of porcine RVA prevalence is essential, providing valuable insights for virus prevention and control, and supporting the development of candidate vaccines against porcine RVA.

Carrying out mountain-hazards developing environment research is helpful for understanding the spatial characteristics of the mountain hazards so as to contribute to mountain-hazards prevention and mitigation and the safety of infrastructures and major projects. In this study, the Eurasian continent was selected as the research area to conduct regionalization research on mountain-hazards developing environments. Using peak ground acceleration (PGA), the annual average precipitation and topographic relief as root factors of mountain-hazards developing environments (known as PPR factors) to represent the characteristics of geological structures, climatic impacts and geomorphology, the regionalization of mountain-hazards developing environments of the Eurasian continent was conducted through the combination of computer automatic classification and later artificial cartographic generalization. Finally, 15 subregions were obtained. A preliminary judgment of the mountain-hazards susceptibility for each region according to the characteristics of PPR factors was made, and nine subregions were identified as the overall high-susceptibility areas of mountain hazards. Based on the analysis of the characteristics of PPR factors and the mountain-hazards susceptibility characteristics in different mountain-hazards developing environment subregions, the high susceptibility regions of mountain hazards could be divided into three types: arid and active-geologic regions, humid and active-geologic regions, and humid and inactive-geologic regions. We hope that our research provides support for subsequent works of more specific and reasonable mountain-hazards susceptibility, hazard and risk models construction for different types of mountain-hazards developing environments.

The location of debris flow occurring in a gully determines the observable differences in its formation, evolution and effects. In this piece of research, we propose a new method for debris flow gully classification based on the locations of the debris flows occurring in the gullies. It is termed the three-section method (TSM). It includes eight different types of gullies with different digital identifications (IDs) and susceptibility degrees (SDs). By taking the Jiangjia Gully (JJG), in Yunnan, China, as a case study site, the main gully and the sub-gullies at different levels were identified using a hydrological analysis method. Then, the gullies were divided into different types using the new classification TSM. The results show that there are seven different types of debris flow gullies in the JJG. The number of different types varied greatly in gullies at different levels. In particular, the topological diagram of debris flow gullies was drawn after simplifying the shape of the gullies, and it was a good way to understand the characteristics of debris flow gullies. Finally, the relationships were explored between the hypsometric integrals (HIs), surface exposures (SEs) and susceptibility degrees (SDs), and a new calculation model construction method for determining the degree of debris flow susceptibility was proposed. This model, using the above method, can not only be used to calculate the SDs of debris flows in the gullies, but can also be instrumental in pointing out the approximate locations of the debris flow commonly and easily occurring in the gullies. We hope that our research can provide a new concept for the assessment of debris flow susceptibility.

University campus tourism is an important component and extension of urban tourism. The campus landscapes at universities act as major reflections of the interaction between regional natural and humanistic environments and initiate a strong visual perception or sensory feelings of the campus, which play a positive guiding role in campus tourism resource development. In order to better understand the role of landscapes in campus tourism, the Wangjiang Campus of Sichuan University was selected as the study area. Campus landscapes under the comprehensive influence of natural and humanistic environments were studied based on three different multi-level (scale) perspectives including: (i) point scale, (ii) line scale and (iii) plane scale, as well as different research themes comprising: (i) landscapes of buildings and vegetation, (ii) color landscapes, (iii) landscapes of campus space utilization, and (iv) thermal landscapes. The results show that the Wangjiang Campus landscapes have strong environmental natural landscape components linked with strong humanistic landscapes, which may provide lively, positive and relaxed visual feelings to tourists in the form of affirmative landscape services. The formation and development of the campus landscapes are affected by the geographic environments and campus culture, and it is conducive to the formation of unique campus genius loci. Nowadays, the landscapes of Wangjiang Campus have become a distinctive visiting card of campus tourism. This study would be helpful in better understating of the campus landscapes using new perspectives, as well as could be used as references for the development of university-campus-tourism.

Senecaviurs A (SVA) infection, an emerging infectious disease in pig populations, is characterized by vesicular lesions predominantly affecting the mouth, snout, and hooves of infected pigs, similar to the symptoms of Foot and Mouth Disease Virus (FMDV). This disease first spread into China in 2015, causing great panic in the pig breeding industry. To determine the prevalence of SVA in pig herds in China from 2018 to 2021, a total of 4,901 pig tissue samples were collected from 18 provinces, autonomous regions and municipalities (P.A.M.s) for epidemiological investigation, virus isolation and genetic analysis. In 2021, the individual positive rates (IPRs) from the perspective of spatial distribution in East China, South China, Central China, North China, Southwest China, Northwest China, and Northeast China were 0, 0, 1.69, 0.94, 11.70, 3.31 and 2.21%, respectively. The herd positive rates (HPRs) were 0, 0, 9.52, 9.09, 50.00, 7.69 and 23.08%. From the perspective of temporal distribution, the IPR showed an overall downwards trend from 2018 to 2021, with only a slight increase in 2020. Moreover, the HPR decreased from 36.63 to 10.07%. From the perspective of population distribution in 2021, the IPR (2.62%) and HPR (12.00%) in apparently healthy pig herds (slaughterhouses) were greater than those in non-healthy pig herds (2.10 and 5.13%, respectively), consistent with the results in 2019. To characterize the prevalent strains, 10 SVA strains isolated from positive samples in 2019 were clustered in Clades I and VII; SVA-FJ039-2019, SVA-HuN032-2019, SVA-GX011-2019, SVA-FJ036-2019, SVA-GXF011-2019 and SVA-GXF053-2019 were clustered in Clade I; and SVA-FJ018-2019, SVA-SD069-2019, SVA-SD072-2019, and SVA-SD074-2019 were clustered in Clade VII. In conclusion, until 2021, the prevalence of SVA in pig herds in China was still relatively high, the contaminated area was still large, and there were a number of hidden infections. In the future, the epidemic status of SVA in pig herds in China must be closely monitored and the prevention and control measures must be adjusted in a timely manner.

Background Porcine group A rotavirus (RVA) is a significant causative agent of diarrhea in piglets, leading to substantial economic losses in pig farms worldwide. While horizontal transmission of RVA among pig populations is well documented, the possibility of vertical transmission from sows to newborn piglets has not been definitively confirmed. Results In this study, piglet testicles, umbilical cord blood, and colostrum were collected from porcine RVA (PoRVA)-active farms for analysis. The samples presented high PoRVA-positive rates, with 70.00% in the testicle samples, 55.00% in the umbilical cord blood samples, and 73.33% in the colostrum samples. Immunohistochemical assays confirmed the presence of PoRVA in neonatal piglet testicles. Additionally, two PoRVA strains, RVA/Pig/CHN/QT/2023/G9P [23] (QT2023) and RVA/Pig/CHN/BH/2023/G12P [7] (BH2023), were isolated from newborn piglet testicles. Complete genome analyses revealed that strains QT2023 and BH2023 both presented a Wa-like backbone, with the genotype constellation of G9-P [23]-I5-R1-C1-M1-A8-N1-T1-E1-H1 and G12-P [7]-I5-R1-C1-M1-A8-N1-T1-E1-H1, respectively. While strains QT2023 and BH2023 originated from PoRVAs, sequence identities and phylogenetic analyses suggested close relationships with human rotaviruses in specific genes. Furthermore, successful viral replication of these strains in MA-104 cells was observed. Inoculation of PoRVA-negative piglets with strains QT2023 and BH2023 resulted in clinical diarrhea, fecal virus shedding, and intestinal pathological changes, highlighting the pathogenicity of these strains. Conclusion This study provides evidence that PoRVA can breach the placental barrier and spread to newborn piglets through vertical transmission. These discoveries enhance our understanding of the transmission route of porcine RVA and have the potential to guide the development of efficient vaccine strategies for combating this disease.

Landslides often pose a huge threat to the lives and property of people. The detailed analysis of landslide activity characteristics and landslide hazard assessment can help to understand the activity laws of landslides, and identify the possibility of landslide occurrence, which play a key role to take necessary disaster prevention and mitigation measures. In this research, we selected Eurasia as the study area. Firstly, a landslide dataset of the Eurasian continent was analyzed. Based on the Emerging Hot Spot Analysis, obvious hot spots of landslide hazards around the Himalayan Mountains and new cold spots in the Loess Plateau were found. On the other hand, for large scale regions, there are significant differences in landslide-developing environments, and the effects of various causing factors are different significantly. In this research, the weights of landslide-causing factors for different kinds of mountain-hazards developing environments were obtained through the machine learning method (Random Forest). Different landslide hazard assessment models under different mountain-hazards developing Environments were constructed. It solves the problem of using only one model to evaluate landslide hazard in complex disaster environments at a large regional scale without considering regional differences. This also provides a new idea for evaluating the hazard assessment of other mountain hazards at a large regional scale. The results show that the landslide hazard assessment model has obvious regional characteristics and can better realize the purpose of hazard assessment. About 16.35% of the mountain areas in the Eurasian continent belong to very high-hazard and high-hazard areas of landslides. At the same time, the contribution values of different factors in the calculation process based on the hazard assessment models can better identify the main controlling factors and propose the adoption of more targeted disaster prevention and mitigation measures.

Porcine group A rotavirus (RVA) is a significant causative agent of diarrhea in piglets, leading to substantial economic losses in pig farms worldwide. While horizontal transmission of RVA among pig populations is well documented, the possibility of vertical transmission from sows to newborn piglets has not been definitively confirmed.BACKGROUNDPorcine group A rotavirus (RVA) is a significant causative agent of diarrhea in piglets, leading to substantial economic losses in pig farms worldwide. While horizontal transmission of RVA among pig populations is well documented, the possibility of vertical transmission from sows to newborn piglets has not been definitively confirmed.In this study, piglet testicles, umbilical cord blood, and colostrum were collected from porcine RVA (PoRVA)-active farms for analysis. The samples presented high PoRVA-positive rates, with 70.00% in the testicle samples, 55.00% in the umbilical cord blood samples, and 73.33% in the colostrum samples. Immunohistochemical assays confirmed the presence of PoRVA in neonatal piglet testicles. Additionally, two PoRVA strains, RVA/Pig/CHN/QT/2023/G9P [23] (QT2023) and RVA/Pig/CHN/BH/2023/G12P [7] (BH2023), were isolated from newborn piglet testicles. Complete genome analyses revealed that strains QT2023 and BH2023 both presented a Wa-like backbone, with the genotype constellation of G9-P [23]-I5-R1-C1-M1-A8-N1-T1-E1-H1 and G12-P [7]-I5-R1-C1-M1-A8-N1-T1-E1-H1, respectively. While strains QT2023 and BH2023 originated from PoRVAs, sequence identities and phylogenetic analyses suggested close relationships with human rotaviruses in specific genes. Furthermore, successful viral replication of these strains in MA-104 cells was observed. Inoculation of PoRVA-negative piglets with strains QT2023 and BH2023 resulted in clinical diarrhea, fecal virus shedding, and intestinal pathological changes, highlighting the pathogenicity of these strains.RESULTSIn this study, piglet testicles, umbilical cord blood, and colostrum were collected from porcine RVA (PoRVA)-active farms for analysis. The samples presented high PoRVA-positive rates, with 70.00% in the testicle samples, 55.00% in the umbilical cord blood samples, and 73.33% in the colostrum samples. Immunohistochemical assays confirmed the presence of PoRVA in neonatal piglet testicles. Additionally, two PoRVA strains, RVA/Pig/CHN/QT/2023/G9P [23] (QT2023) and RVA/Pig/CHN/BH/2023/G12P [7] (BH2023), were isolated from newborn piglet testicles. Complete genome analyses revealed that strains QT2023 and BH2023 both presented a Wa-like backbone, with the genotype constellation of G9-P [23]-I5-R1-C1-M1-A8-N1-T1-E1-H1 and G12-P [7]-I5-R1-C1-M1-A8-N1-T1-E1-H1, respectively. While strains QT2023 and BH2023 originated from PoRVAs, sequence identities and phylogenetic analyses suggested close relationships with human rotaviruses in specific genes. Furthermore, successful viral replication of these strains in MA-104 cells was observed. Inoculation of PoRVA-negative piglets with strains QT2023 and BH2023 resulted in clinical diarrhea, fecal virus shedding, and intestinal pathological changes, highlighting the pathogenicity of these strains.This study provides evidence that PoRVA can breach the placental barrier and spread to newborn piglets through vertical transmission. These discoveries enhance our understanding of the transmission route of porcine RVA and have the potential to guide the development of efficient vaccine strategies for combating this disease.CONCLUSIONThis study provides evidence that PoRVA can breach the placental barrier and spread to newborn piglets through vertical transmission. These discoveries enhance our understanding of the transmission route of porcine RVA and have the potential to guide the development of efficient vaccine strategies for combating this disease.