Search

In order to present a clear and realistic display effect of community ecological environment, an interactive method of community ecological environment adaptation based on virtual reality technology is designed. Through 3DMAX software, a three-dimensional community ecological environment model based on virtual reality technology is designed and the single modeling and scene merging of ecological environment landscapes such as community buildings and vegetation are realized. Texture processing is used to enhance the authenticity of the model, multi-dimensional spatial texture rendering technology is combined with scene database import, multi-dimensional spatial visual data is input to the 3D model of the community ecological environment and the dynamic feature quantity of the multi-vision 3D image of the model is obtained. Combined with the joint sparse feature recognition technology, the Construct multi-vision 3D images, complete model scene rendering and improve realistic effects; the user realizes virtual scene roaming by inputting and modifying the interactive address, direction and angle of view and based on the physical, sensory cognitive and functional affordances, an aging-friendly interactive interface is designed to improve the user's aging-friendly interactive experience. The experimental results show that the three-dimensional community ecological environment display effect of this method is clearer and more realistic. The overall community ecological environment has better lighting and layout and the modeling time is only 5s, the overall error is less than 3%, the fluctuation of the error curve is small and uniform, the stability is good, the scene roaming process is relatively smooth and no stuck pause. [ABSTRACT FROM AUTHOR]

The hotspot is to evaluate and improve alkali-saline grassland base on soil microbial community. In order to reveal the influence of alkali-saline on soil bacterial community in Songnen grassland, the composition and diversity of soil bacterial in different degrees of alkali-saline grassland were determined and analyzed by high-throughput sequencing. The results showed that Soil bacterial community composition in Songnen grassland changed minuscule. Acidobacteria, Gemmatimonadetes, Bacteroidetes, Firmicutes and Saccharibacteria were significantly correlated with pH value, which could be used as sensitive indicators of soil salinization in Songnen grassland. The increase of pH value had a significant induction effect on the alpha diversity of bacterial community (sobs, Shannon index, simpson index, ace index, chao index) (P < 0.05), and the alpha diversity were decrease with the increase of pH value. PERMANOVA analysis showed that bacterial communities of different pH soil type were highly significant different. [ABSTRACT FROM AUTHOR]