New records of seed plants from Jiangxi Province

Jiangxi Province (South China) is one of the world’s top tungsten (W) mineral provinces. In this paper, we present a new LA-ICP-MS zircon U-Pb age and Hf isotope data on the W ore-related Xianglushan granite in northern Jiangxi Province. The magmatic zircon grains (with high Th/U values) yielded an early Cretaceous weighted mean U-Pb age of 125 ± 1 Ma (MSWD = 2.5, 2σ). Zircon εHf(t) values of the Xianglushan granite are higher (−6.9 to −4.1, avg. −5.4 ± 0.7) than those of the W ore-related Xihuanshan granite in southern Jiangxi Province (−14.9 to −11.2, avg. −12.5 ± 0.9), implying different sources between the W ore-forming magmas in the northern and southern Jiangxi Province. Compiling published zircon geochemical data, the oxygen fugacity (fO2) of the late Yanshanian granitic magmas in Jiangxi Province (the Xianglushan, Ehu, Dahutang, and Xihuashan plutons) were calculated by different interpolation methods. As opposed to the W ore-barren Ehu granitic magma, the low fO2 of the Xianglushan granitic magma may have caused W enrichment and mineralization, whilst high fO2 may have led to the coexistence of Cu and W mineralization in the Dahutang pluton. Additionally, our study suggests that the absence of late Mesozoic Cu-Mo mineralization in the Zhejiang, Jiangxi, and Anhui Provinces (Zhe-Gan-Wan region) was probably related to low fO2 magmatism in the Cretaceous.

Spatial distribution and risk assessment of heavy metal pollution from enterprises in China

Spatial autocorrelation analysis of monitoring data of heavy metals in rice in China

Epidemic and maintenance of rabies in chinese ferret badgers (Melogale moschata) indicated by epidemiology and the molecular signatures of rabies viruses

To understand the epidemiological features and changing patterns of intestinal parasitic diseases in Jiangxi Province from 1989 to 2014, so as to provide scientific evidence for formulating the preventive and control strategy for intestinal parasitic diseases. The data regarding the status of intestinal parasitic diseases in Jiangxi Province were captured from the 1989 national survey on the distribution of human parasites in China and the 2014 national survey on major human parasitic diseases in China, and the status of human intestinal parasite infections was compared between the two surveys in Jiangxi Province. The prevalence rate of human intestinal parasite infections was 79.59% and 9.64% in Jiangxi Province in 1989 and 2014, with a decline rate of 87.89% during the 25-year period (χ2 = 30 870.5, P < 0.01). There were 24 and 20 species of human intestinal parasites detected in Jiangxi Province in 1989 and 2014, respectively, with totally 26 species detected during the two surveys. In Jiangxi Province, the 3 most highly prevalent human intestinal parasites included Ascaris lumbricoides (71.06%), hookworm (17.61%) and Enterobius vermicularis (17.59%) in 1989, and E. vermicularis (13.73%), hookworm (4.66%), whipworm (0.95%) in 2014. A higher rate of human intestinal parasite infections was found in females than in males in both surveys in Jiangxi Province (P < 0.01), and the prevalence of human intestinal parasite infections reduced by 82.50% to 95.31% in different age groups in Jiangsu Province during the 25-year period. The prevalence of human intestinal parasite infections shows a remarkable decline tendency in Jiangxi Province, and soil-transmitted nematodes remain the main species of human intestinal parasites in Jiangxi Province.

Sustainable intensification can defuse conflict arising from the limited availability of farmland resources and the inflexible growth of material demand, thereby establishing itself as an effective strategy for nations to ensure food security and promote sustainable development. Considering that research on sustainable intensification focuses primarily on regions with flat and highly consolidated land parcels, there is relatively little exploration in areas with high land fragmentation. However, in regions with significant land fragmentation, the cultivated area per capita is smaller and the human–land contradiction is more pronounced. This makes it all the more worthwhile to investigate the sustainable intensification of these areas. This study focused on a Chinese provincial area and aimed to investigate the operational laws and influencing mechanisms for the sustainable intensification of farmland use. Emergy analyses were conducted to measure the spatial and temporal development patterns of sustainable farmland use intensification in Jiangxi Province during 2007–2021, and to provide a reference for farmland use optimization in other regions of China and worldwide. (1) Compared with in 2007, in 2021, the emergy input of the ecological–economic cultivated area systems in Jiangxi Province decreased by 19.76%, and the emergy output increased by 18.39%. (2) In the past fifteen years, the emergy productivity (EPR) of the ecological and economic system of cultivated land in Jiangxi Province has shown a fluctuating upward trend; compared with in 2007, the EPR in Jiangxi Province in 2021 rose by 58.09%, spatial characteristics from the center to the north and south were reduced, and the gap widened. The emergy yield rate (EYR) of the ecological and economic system of cultivated land in Jiangxi Province has shown an overall upward trend; compared with in 2007, the EYR in Jiangxi Province in 2021 rose by 43.39%, spatial characteristics from the north to the south were reduced, and the gap widened. The Jiangxi Province cultivated land ecological and economic system environmental loading rate (ELR) showed an overall downward trend; compared with in 2007, the ELR in Jiangxi Province in 2021 fell by 30%, spatial characteristics from the north to the south were reduced, and the difference narrowed. The economic efficiency (EE) of Jiangxi Province’s cultivated land ecological and economic system showed a fluctuating downward trend; compared with in 2007, EE in Jiangxi Province in 2021 fell by 29.97%, the spatial characteristics decreased from north to south, and the difference narrowed. Conclusion of this study: The degree of sustainable intensification of farmland use is influenced by climate change, the use of agricultural machinery and equipment, the amounts of chemical fertilizers and pesticides used, and cultivation methods. Therefore, the use of farmland requires a rational allocation of emergy inputs within the socio-economic system, coupled with the scientific maximization of outputs while maintaining the ecological and economic integrity of farmland. This approach is of great importance as a reference for the efficient use of farmland resources in China and thus for national food security. Additionally, this research provides valuable insights that can serve as a useful reference for other regions worldwide.

Research on equity analysis and forecasting of nursing human resource allocation in Jiangxi Province, China.

Jiangxi Province is one of the first ecological civilization demonstration provinces in China. Understan-ding the impacts of meteorological conditions on ecosystem regulatory services is beneficial for conducting ecological protection and restoration work. Based on MODIS data, net primary productivity data, and monthly meteorological data from 2000 to 2022, we used models such as water balance equation and soil loss equation to measure the four regulatory service functions of ecosystem in Jiangxi Province, including carbon sequestration, oxygen release, water conservation and soil conservation. We used trend analysis and partial correlation analysis methods to analyze the spatio-temporal patterns and meteorological influencing factors of those four regulation service functions. The results showed that from 2000 to 2022, the annual average values of carbon sequestration and oxygen release in Jiangxi Province were 178.8 and 130.0 g·m-2, respectively, with annual increases of 0.4 and 0.3 g·m-2. The spatial distribution of both services was consistent, and the average annual carbon sequestration and oxygen release showed an upward trend in 77.3% regions of Jiangxi Province. The average water conservation and soil retention in Jiangxi Province were 591.8 mm and 723.8 t·hm-2, respectively, with similar spatial distributions. The annual increases were 5.6 mm and 3.7 t·hm-2. The soil conservation and water conservation functions of 73.3% and 69.3% regions in Jiangxi Province were steadily improved. Vegetation carbon sequestration and oxygen release was significantly correlated with temperature at monthly scale and seasonal scale. The partial correlation coefficient of those two factors was higher than other factors, which was an important meteorological factor affecting the carbon sequestration and oxygen release function of ecosystem. Precipitation, which was the most important meteorological factor, had a significant positive correlation with water conservation and soil conservation at monthly, seasonal and annual scales. Our results revealed the impacts of climate change on ecosystem regulatory service functions in Jiangxi Province from 2000 to 2022, which could provide scientific and technological support for effectively guaranteeing ecosystem protection and restoration in Jiangxi Province and improving the quality and efficiency of ecological civilization construction.

Jiangxi province comprehensive docking the national strategy of the Belt and Road and the Yangtze River economical belt during the period of 12th Five-Year Plan in china, it not only promoted the rapid development of listed companies in Jiangxi province, but also affected the capital structure of listed companies in Jiangxi province. Research shows that: Firstly, scale of capital structure of listed companies in Jiangxi province is significantly positive correlation. Secondly, asset collateral value of the capital structure of listed companies in Jiangxi province is significantly positive correlation. Thirdly, Enterprise's profit ability of capital structure of listed companies in Jiangxi province is significantly negative correlation. Finally, liquidity of capital structure of listed companies in Jiangxi province is significantly negative correlation. The research conclusions and suggestions in this paper can provide a reference for the capital operation of listed companies in Jiangxi province.

Stand structure and topography are important factors affecting forest vegetation carbon density (FVCD). Revealing the interaction mechanisms between stand structure and topography on FVCD is of great significance for enhancing forest vegetation carbon storage and achieving regional carbon neutrality. Based on stratified sampling, systematic distribution and forest continuous inventory sample plots in Jiangxi province, the variation characteristics of FVCD and its correlations with stand structure and topographic factors were studied. The results are as follows: (1) The average FVCD in Jiangxi province was 44.23 Mg/ha, which was dominated by the carbon density of the arbor layer, accounting for about 81.39% of the total forest—far lower than the average level of global FVCD, which proved that the forest in Jiangxi province was dominated by middle-age and young forests with low carbon density, and also showed that the potential for forest vegetation carbon storage in Jiangxi province was huge. (2) Except for vegetation carbon densities of shrub and herb layers, the vegetation carbon densities of other forest layers in Jiangxi province were significantly different among different forest types. Volume per unit area was the most important factor affecting the vegetation carbon densities of arbor and total forest, and vegetation carbon density–volume models of the main forests were built for vegetation carbon density calculation in Jiangxi province. (3) The vegetation carbon densities of arbor layer, snag and log layer, and total forest increased significantly with increases in elevation and slope. Except for the shrub layer and herb layer, the vegetation carbon densities of the other layers and the total forest had extremely significant or significant differences between slope position gradients—indicating that the effect of topography on FVCD in Jiangxi province was significant, mainly through influencing of forest distribution and human disturbance intensity.

To explore the spatial-temporal distribution of malaria in Jiangxi Province from 1950 to 2017, so as to provide scientific evidence for developing the malaria elimination strategy. The epidemic situation of malaria, demographic data, historical species of malaria parasites and transmission vectors were collected from each county of Jiangxi Province from 1950 to 2017 to create a geographic information system database of malaria in Jiangxi Province. The software ArcGIS 10.3 was used to analyze the incidence of malaria and display the spatial-temporal distribution of malaria in Jiangxi Province, so as to explore the spatial-temporal patterns of malaria in the province. From 1950 to 2017, the prevalence of malaria was classified into 3 stages in Jiangxi Province, including the peak period (from 1950 to 1975), the continuous decline period (from 1976 to 1997), and the low-level fluctuation period (from 1998 to 2017). During the period from 1950 through 2017, the incidence of malaria declined, the epidemic area of malaria shrank, and the intensity of malaria transmission gradually reduced to no local infections in Jiangxi Province. The spatial distribution of epidemic areas of malaria shifted from southern mountainous areas to northern plain areas, and finally aggregated, retained and disappeared in plain areas. The species of malaria parasites shifted from a co-endemic area for Plasmodium vivax, P. falciparum and P. malariae to a single endemic area for P. vivax, and finally a co-endemic area for imported P. vivax, P. falciparum, P. malariae and P. ovale. The transmission vectors shifted from multiple vectors of Anopheles sinensis, An. minimus, An. anthropophagus and others to a single vector of An. sinensis. There are no local malaria cases for successive 6 years since 2012, and the transmission of malaria has been interrupted in Jiangxi Province, in which the criteria for malaria elimination have been achieved. However, the risk of malaria transmission secondary to imported malaria will emerge in Jiangxi Province for a long period of time.

Regional carbon budget and compensation are one of the current research hotspots, which is of great practical significance for dealing with climate change and promoting the coordinated development of low carbon. Based on energy consumption and land use data, a carbon budget and carbon compensation measurement model was established to analyze the change characteristics and spatial differentiation of the carbon budget of 11 prefecture-level cities in Jiangxi Province from 2010 to 2020 and carry out functional zoning, and further calculate the carbon compensation value of each prefecture-level city. The results showed that (1) during the study period, the carbon emissions in Jiangxi Province showed an increasing trend, with an average annual growth rate of 6.00 million tons, showing a spatial distribution pattern of “high in the west and low in the east.” The province was mainly represented by net carbon sources. (2) During the study period, the forest land in Jiangxi Province was the main carbon sink. The carbon sink absorption capacity declined from 60.56 million tons in 2010 to 59.69 million tons in 2020. (3) The regional difference in the economic contribution coefficient of prefecture-level cities in Jiangxi Province is relatively tiny. The ecological support coefficient has apparent spatial heterogeneity, showing a spatial distribution feature of “high in the south and low in the north.” (4) The 11 prefecture-level cities in Jiangxi Province could be divided into four regions: the carbon sink functional area, low-carbon optimization area, total carbon control area, and carbon intensity control area. By calculating the carbon compensation value and according to the difference in the carbon compensation value, the 11 prefecture-level cities in Jiangxi province are divided into four high-compensation areas, three low-compensation areas, and four compensated areas. The larger the carbon budget is, the higher the carbon compensation amount; conversely, the smaller the budget, the more carbon compensation amount can be obtained. According to the above conclusions, 11 prefecture-level cities should improve emission reduction mechanisms and strengthen the management of forest land utilization. Meanwhile, Jiangxi Province should formulate differentiated development, and compensation strategies should be developed to promote low-carbon, coordinated, and sustainable development among regions.

In the era of big data, fundamental changes have taken place in sports communication. The application of new media promotes the resource acquisition and information mining of big data. This paper expounds the main characteristics of high-risk sport events in Jiangxi province under the background of big data, the application and existing problems of big data in the operation and management of high-risk sport events in Jiangxi province, and prospects the development of high-risk sport events in Jiangxi province under the background of big data. How to standardize the operation of high-risk sports scientifically and manage and deal with the risk in time has become the bottleneck of restricting the development of high-risk sports in Jiangxi province in China. This paper takes the development status and risk management strategies of high-risk sports (swimming, diving, rock climbing) in Jiangxi province as the research object, and makes an investigation and big data analysis by using the methods of literature, square talks, field visits, questionnaires, logical analysis and mathematical statistics. Finally, under the base of the big data analysis, the paper puts forward the countermeasures and suggestions for the development of high-risk sports in Jiangxi province.

The temple gardens are an important human landscape and have an important position in the Chinese garden system. Using GIS analysis tools, primarily the Nearest Neighbor Index, Kernel Density Estimation, and Spatial Autocorrelation, and employing a Geographic Detector model, we analyzed the spatial distribution characteristics and influencing factors of 4,317 temples and gardens in Jiangxi Province. Research shows that: 1) The spatial distribution type of temple gardens in Jiangxi Province is agglomeration type, with large spatial differences in distribution, forming a spatial distribution pattern of “generally dispersed and concentrated in some areas”; 2) the distribution of temple gardens in Jiangxi Province is uneven. They are mostly distributed in five prefecture-level cities: Ganzhou, Jiujiang, Shangrao, Fuzhou, and Nanchang; 3) The overall spatial distribution of temple gardens in Jiangxi Province has positive autocorrelation characteristics, and prefecture-level cities have significant proximity characteristics, forming a “high-high” “agglomeration” and “low-low agglomeration” distribution patterns; 4) Temple gardens in various regions are affected by geomorphological factors, and are mostly concentrated in the lower altitude range of 0–500 m and the gentle slope of 0°–30°. Most of the distribution density of temple gardens in various prefecture-level cities is within the buffer zone distance of the road network within the range of 0–1.5 km. 5) Economic, cultural, demographic, and historical factors have affected the development of temple gardens. Areas with more active economies have a denser number of temple gardens. The unique regional culture affects the distribution of temples and gardens in different regions. In places where the modern population is densely distributed, there are fewer temples and gardens, while in places where the population is less densely distributed, there are more temples and gardens. 6) The use of geographical detectors to detect influencing factors shows that the greatest impact on the spatial distribution of temple gardens in Jiangxi Province is the road network, followed by elevation, slope, GDP, and water systems. The research is conducive to scientific understanding of the distribution of temple gardens among prefecture-level cities in Jiangxi Province, and provides reference for strengthening the protection of temple gardens and exploring the tourism characteristics of temple gardens.

Based on the pollutant data provided by the environmental monitoring stations and the routine observation data of 11 national meteorological stations in Jiangxi Province from 2016 to 2019, the characteristics of ozone pollution and the relationships with meteorological factors were investigated in this study. The results showed that ozone pollution has become increasingly severe in Jiangxi Province in recent years. The annual mean concentration of ozone in Jiangxi Province (the maximum daily 8 h average) was 80.1 μg·m-3 in 2016 and reached up to 98.2 μg·m-3 in 2019, with an average annual growth rate of 6 μg·m-3. The number of over-standard days of ozone was 475 d, accounting for 72.6% of 2019 in Jiangxi Province. The average concentrations observed in summer were higher than those observed in the other seasons during 2016 to 2018, but in 2019, higher ozone concentrations were observed in autumn owing to the lower precipitation, more sufficient sunshine, and the resulting higher air temperature. Overall, the ozone concentrations were found to be positively correlated with air temperature and sunshine but negatively correlated with relative humidity in Jiangxi Province. A high ozone concentration usually appeared with an air temperature higher than 30℃, relative humidity of 20%-40%, and wind speed of 2-3 m·s-1. The spatial distribution of the ozone concentrations exhibited distinct characteristics with higher values observed in southern Jiangxi relative to those in the northern areas and lower values in northeastern Jiangxi compared with those in other regions. More serious ozone pollution was found in Ganzhou among the 11 cities in Jiangxi Province, with the highest annual concentration of 104.2 μg·m-3 observed in 2019. The results of the model analyses, including the HYSPLIT backward trajectory model and potential source contribution function model, indicated that there was a significant difference in the potential source contribution of ozone pollution in Ganzhou on seasonal scales, specifically in central Guangdong and the northwest of Jiangxi Province in spring, the northwest parts of Jiangxi Province in summer, and the north of Guangdong and central Anhui Province in autumn.