In recent years, the rapid development of high-throughput sequencing technologies and bioinformatics methods has greatly facilitated the monitoring of soil microbial diversity. Monitoring microbial diversity in soil could lead to a number of applications for example a better understanding of the characteristics of spatial and temporal variation of microbial community in soil and the identification of the driving mechanisms of soil microbial composition, diversity, and functional genes in different ecosystems, such as forests, grasslands, wetlands, and farmland. However, there are still no universally adaptable models to explain the relationships between microbial diversity change and ecosystem functions. This study is based on the special geographical environment of the Loess Plateau. Control experiments for grazing and nitrogen addition were set up and, through to analysis soil bacterial community was analyzed through high-throughput sequencing technology. A joint model of soil bacterial community diversity, soil physical and chemical properties, and human disturbance such as grazing has been established. The results show that grazing and nitrogen addition have different effects on soil bacterial community diversity. Within a certain range, nitrogen addition can balance the effects of grazing.
|Title of host publication||2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018)|
|Place of Publication||Madrid, Spain|
|Number of pages||7|
|ISBN (Electronic)||ISBN 978-1-5386-5488-0|
|Publication status||Published - 3 Dec 2018|