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User profile Complementing with regard to IoMT: A new Proven Personal Collection Intersection System.
The ratio between eutrophic and oligotrophic bacteria substantially increased. The micromorphology results showed that the microorga-nism-red mud aggregates were formed through adsorption, linkage, intertwinement and package between red mud particles, microbial cells and their metabolites. The red mud biotope changed spontaneously from extreme and oligotrophic into soil-like under natural stockpiling. The soil genesis process was mediated by microbes through increasing nutrient level, decreasing alkalinity and sali-nity, and improving soil structure.The diversity and interactions of soil fungal community are the key to maintain the diversity and stability of ecosystem. In this study, we examined the structure, diversity and co-occurrence networks of fungal community in rhizosphere and non-rhizosphere soils of planted and natural Picea asperata forests using high-throughput sequencing technique and bioinformatic methods. The results showed that Inocybaceae and Sebacinaceae were dominant family in soils of planted and natural forests, respectively. At the genus level, Inocybe was dominant one in soils of planted and natural forests. There were significant differences in β-diversity of fungal communities between rhizosphere and non-rhizosphere soils in both planted and natural forests. There were no significant correlations between environmental variables and the relative abundance and α-diversity of fungal communities. Herb layer coverage, soil water content, total organic carbon concentration, and plant species richness played important roles in explaining the variations of β-diversity of fungal communities. Results of the network analysis showed that the negative correlations were dominant among soil fungal communities in natural forest, suggesting that the competition of different groups in natural forest. Moreover, there were more negative correlations in non-rhizosphere soils than in rhizosphere soils, which indicated that fungal communities in non-rhizosphere soils comprised more competitive network structure than in the rhizosphere soils. Biomarker species were identified based on differential abundance analysis. Sebacinaceae was the single shared keystone species in the fungal network which had significant differences among rhizosphere and non-rhizosphere soils of planted and natural forests. Therefore, it is suggested that the variation of differential species in the soil fungal communities between the planted and natural forest might had limited influence on the stability of the community of planted and natural forests.Soil nematodes are one of the typical indicator organisms for soil health. selleck To reveal the effects of reduction in nitrogen fertilizer application on soil health, we examined community structure of soil nematode under reduced nitrogen fertilizer while combined with organic fertilizer at the jointing stage of winter wheat. There were six fertilization treatments, including CF(315 kg N·hm-2, conventional fertilization), N240 (240 kg N·hm-2), N210 (210 kg N·hm-2)、N180 (180 kg N·hm-2), F150 (180 kg N·hm-2+150 kg·hm-2 fulvic acid), and F225(180 kg N·hm-2+225 kg·hm-2 fulvic acid). The results showed that 1) The reduction of nitrogen fertilization decreased nematode number by 15.3%-68.5%. 2) Protorhabditis was the dominant genus (19.6%-50.4%) across all treatments. The reduction of nitrogen fertilizer application increased the abundance of fungivores, herbivores, and predators-omnivores, while that of bacterivores decreased first and then increased. Combined application of organic fertilizer decreased the abundance of bacterivores and fungivores, while increased that of herbivores and predators-omnivores. 3) N240 and F225 increased the Shannon diversity (H) of nematode community by 48.1% and 58.5%, respectively. The maturity index (MI) in N240 was the highest (1.95), while the structural index (SI) was the lowest in N180 (43.33). The structural index (SI) of F225 with combined application of organic fertilizer reached 62.72, but its enrichment index (EI) was lowest (80.82). In conclusion, reduced nitrogen fertilizer application and combined with organic fertilizer could improve soil nematode diversity, increase the complexity of soil food web, which would be conducive to the health and stability of agricultural ecosystem.Given the facts that urban land is extremely limited and ecological environment protection is confronted with severe challenges, it is of great importance to effectively construct green infrastructure (GI) network and identify relatively important landscape ecological components. We identified and prioritized GI network centers in Fuzhou downtown area using the MSPA and the landscape connectivity evaluation. The least cost path method and gravity model were used to construct the potential corridors at multiple levels. The density analysis and blind area analysis were used to extract and prioritize the GI nodes and to obtain the optimized GI network. The results showed that the first-level GI network centers were mainly distributed in the north and south of Fuzhou downtown, while those in the central region were small and scattered. The comprehensive resistance of landscape was low in the periphery but high in the middle, with poor integral connectivity. The GI corridor system with existing corridors and potential corridors was employed to enhance the connectivity among network centers. Furthermore, the GI nodes were extracted to provide a "transfer station" for material circulation and energy flow, which could partly solve the problems including excessive substrate resistance and the long connection corridor in some areas. The spatial prioritization of GI elements could make the construction of GI network more scientific and also provide reference for the future planning period and construction timing of GI network in Fuzhou.The extreme precipitation characteristics of Ansai District in 40 years was analyzed from the perspective of precipitation intensity and precipitation frequency with 11 extreme precipitation indices, based on daily precipitation data of Ansai Meteorological Station from 1980 to 2019. The trend of extreme precipitation in the future was predicted. The results showed that the extreme precipitation indicators generally showed a downward trend during 1980-2019. The downtrend of heavy precipitation days and simple daily precipitation intensity reached significant level, with their climate tendency slopes being -0.65 d·(10 a)-1, -0.32 mm·d-1·(10 a)-1, respectively. Except for consecutive wet days and extremely wet day precipitation, the other extreme precipitation indices had mutation points. After the mutation, most of them had a downward trend, with significant decreases of annual precipitation, moderate precipitation days, heavy precipitation days, very heavy precipitation days, very wet day precipitation, simple daily precipitation intensity.
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