Soil microbial communities in the face of changing farming practices: A case study in an agricultural landscape in France

According to biogeography studies, the abundance and richness of soil microorganisms vary across multiple spatial scales according to soil properties and farming practices. However, soil microorganisms also exhibit poorly understood temporal variations. This study aimed at better understanding how soil microbial communities respond to changes in farming practices at a landscape scale over time. A regular grid of 269 sites was set up across a 1,200 ha farming landscape, and soil samples were characterized for their molecular microbial biomass and bacterial richness at two dates (2011 and 2016). A mapping approach highlighted that spatial microbial patterns were stable over time, while abundance and richness levels were modified. The drivers of these changes were investigated though a PLS-PM (partial least square path-modeling) approach. Soil properties were stable over time, but farming practices changed. Molecular microbial biomass was mainly driven by soil resources, whereas bacterial richness depended on both farming practices and ecological parameters. Previous-crop and management effects and a temporal dependence of the microbial community on the historical farming management were also highlighted.

Automated summary

According to biogeography studies, soil microorganisms exhibit varying abundance and richness across different spatial scales due to soil properties and farming practices, with poorly understood temporal variations. This study aimed to understand how soil microbial communities respond to changes in farming practices over time at a landscape scale. The results showed that spatial microbial patterns were stable over time, while abundance and richness levels were modified, with the main drivers being soil resources for microbial biomass and a combination of farming practices and ecological parameters for bacterial richness. Additionally, previous-crop and management effects and a temporal dependence on historical farming management were highlighted.