Zhao Liuqing, Xu Sumeng, Zhao Jinmei, Chen Shujuan, Liu Xiaolong, Zheng Xiuyuan, Wang Xiuhui, Zhu Zhao, Gao Fei, Fu Bingzhe, Li Shuxia
Natural Resources Assets Statistics and Accounting Center of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, China.
College of Grassland Agriculture, Northwest A&F University, Xianyang, Shaanxi, China.
Front Microbiol. 2025 Apr 22;16:1579497. doi: 10.3389/fmicb.2025.1579497. eCollection 2025.
Exploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. Nevertheless, the impact of photovoltaic power plants (PVs) on soil microbial activity and several functions is unclear.
The present investigation aims to collect soil samples from photovoltaic power plants in arid and semi-arid regions with different years of construction, determine the physicochemical properties of the soil, and employ high-throughput sequencing to obtain 16S rRNA and ITS genes from the PV. This approach examines the community composition of bacteria and fungi in plant soils. This dataset is adopted to explore the role of soil physicochemical characteristics and climatic factors in the variousness and complexness of the network of soil microbial communities in PVs.
The findings reveal that soil physicochemical properties exhibit a gradual increase over time, with bacterial and fungal diversity showing a corresponding gradual increase and reaching a maximum over a period of 5-10 years. Furthermore, it is observed that the topological properties of the microbial network underwent significant changes driven by microbial diversity. Bacterial and fungal diversity as well as network complexity also display positive and negative correlations, respectively. A positive and significant correlation is detected between the bacterial network complexity and the soil multifunctionality, whereas a substantial negative correlation is observed between the fungal network complexity and the soil multifunctionality.
In conclusion the environment is able to directly regulate soil microbial diversity, thereby affecting network complexity and driving soil multifunctionality. Such discoveries are aimed to have crucial ecological implications for predicting environmental-soil-microbial effects on soil multifunctionality in photovoltaic zones.
近年来，利用光伏发电作为一种新型清洁能源来源变得越来越普遍。然而，光伏电站（PVs）对土壤微生物活性和多种功能的影响尚不清楚。
本研究旨在从不同建设年份的干旱和半干旱地区的光伏电站采集土壤样本，测定土壤的理化性质，并采用高通量测序从光伏电站获取16S rRNA和ITS基因。这种方法用于研究植物土壤中细菌和真菌的群落组成。采用该数据集探讨土壤理化特性和气候因素在光伏电站土壤微生物群落网络的多样性和复杂性中的作用。
研究结果表明，土壤理化性质随时间逐渐增加，细菌和真菌多样性相应地逐渐增加，并在5至10年内达到最大值。此外，观察到微生物网络的拓扑性质在微生物多样性的驱动下发生了显著变化。细菌和真菌多样性以及网络复杂性也分别呈现正相关和负相关。细菌网络复杂性与土壤多功能性之间检测到正相关且显著，而真菌网络复杂性与土壤多功能性之间观察到显著负相关。
总之，环境能够直接调节土壤微生物多样性，从而影响网络复杂性并驱动土壤多功能性。这些发现旨在对预测光伏区域环境-土壤-微生物对土壤多功能性的影响具有关键的生态意义。
