This study aims to enlighten our understanding of the distribution of soil carbon-fixing bacteria (cbbL-harboring bacteria) and their community diversity in differently degraded patches at three altitudes. MiSeq high-throughput sequencing technology was used to analyze the soil carbon-fixing bacteria community diversity of degraded patches and healthy meadow at three altitudes. Redundancy analysis (RDA) and structural equation model (SEM) were used to analyze the correlation and influence path between environmental factors and carbon-fixing bacteria. The results showed that degradation reduced the relative abundance of Proteobacteria from 99.67% to 95.57%. Sulfurifustis, Cupriavidus, and Alkalispirillum were the dominant genera at the three altitudes. Hydrogenophaga and Ectothiorhodospira changed significantly with altitude. RDA results confirmed that available phosphorus (AP) was strongly and positively correlated with Proteobacteria. AP and total nitrogen (TN) were strongly and positively correlated with Hydrogenophaga. Grass coverage and sedge aboveground biomass were strongly and positively correlated with Sulfurifustis and Ectothiorhodospira, respectively. Elevation adversely affected the relative abundance of dominant carbon-fixing bacteria and diversity index by reducing the coverage of grass and soil volumetric moisture content (SVMC) indirectly, and also had a direct positive impact on the Chao1 index (path coefficient = 0.800). Therefore, increasing the content of nitrogen, phosphorus and SVMC and vegetation coverage, especially sedge and grass, will be conducive to the recovery of the diversity of soil carbon-fixing bacteria and improve the soil autotrophic microbial carbon sequestration potential in degraded meadows, especially in high-altitude areas.

Conventional manual management methods are plagued by inefficiency and insecurity, as well as cumbersome query processes, challenges in updating and maintaining records. Digitized student archives management system is inevitable for a university in order to improve efficiency. This paper develops a student archives management system based on the Matlab platform, which is tailored for university. The system integrates multi-dimensional data, including basic student information, academic performance, and records of rewards and penalties, to achieve digital management and efficient querying of student archives. Meanwhile, it is designed with a modular structure, which encompasses functional modules such as data entry, data storage, data retrieval, data analysis and report generation. Leveraging Matlab platform robust data processing and visualization capabilities, the system can efficiently handle large volumes of student data and generate intuitive statistical charts, providing decision-making support for university administrators. Integrated management of electronic archives and paper-based archives based on digital management of student information. This paper elaborates on the system design principles, implementation methods of functional modules, and the testing and optimization processes. Experimental results verify that the proposed management system exhibits high stability, usability, scalability, significantly enhancing the automation of student archives management and offering strong technical support for university information management.