An Analysis of Vegetation and Microbiome Recovery in Abandoned Agricultural Fields

Biodiversity is a key indicator of an ecosystem's resilience to disturbances, but farming practices like monocultures can be disruptive. Assessing the biodiversity levels in abandoned fields can help to reveal recovery patterns and inform strategies to conserve biodiversity in agricultural landscapes. The main aim of this study was to assess the pace of natural recovery for a chronosequence of formerly planted fields in a grassland habitat in the Eastern Cape, South Africa. The plant communities were evaluated using species counts, while the bacterial communities were assessed through high-throughput sequencing (HTS) of the 16S rRNA gene. The alpha diversity indices indicated that the diversity levels within the old fields have started to resemble natural conditions for both the plant and microbial communities. Furthermore, the NMDS analyses identified clear variations in bacterial and plant community compositions among differently aged successional groups and the natural habitats. This study provides evidence that biodiversity levels within crop fields can recover from agricultural disturbances. However, considering the significant changes in climate and rainfall patterns in the study area, it remains unclear whether the community structures of the crop fields will reach native conditions in the coming decades, if at all.