Li Xingchen, Zhang Lei, Shen Zhen, Li Shuo, Fang Wangkai, Xu Chi
School of Earth and Environment, Anhui University of Science & Technology, Huainan, 232000, China.
School of Earth and Environment, Anhui University of Science & Technology, Huainan, 232000, China; College of Civil and Architecture Engineering, Chuzhou University, Chuzhou, 239000, China.
J Environ Manage. 2025 Feb;374:124077. doi: 10.1016/j.jenvman.2025.124077. Epub 2025 Jan 9.
Subsidence lakes, formed due to extensive underground coal mining activities, present both ecological challenges and opportunities for alternative land use practices, such as photovoltaic power generation and aquaculture. However, the ecological consequences of these anthropogenic activities on bacterial communities within subsidence lakes remain largely unexplored. To address this knowledge gap, we conducted a comprehensive investigation of bacterial communities in two typical subsidence lake districts located in Huainan, Anhui Province, China. A total of 44 sediment samples were collected across four distinct habitats: photovoltaic zones (PV), aquaculture zones (AC), photovoltaic-aquaculture zones (PV_AC), and unimpacted zones (Natural). Bacterial communities were investigated using 16S rRNA gene sequencing and various statistical methods. Our results revealed that the α-diversity and network complexity of bacterial communities in PV, PV_AC, and AC habitats are significantly higher than habitats of Natural (P < 0.01). Specifically, the α-diversity is the highest in PV habitats, while the network complexity is the highest in AC habitats. The network stability is the highest in PV and PV_AC habitats, while it is the lowest in AC. There were also significant differences in community structure among different habitats, Nitrospirota in PV (31.9%) was higher than that in the other three habitats, the percentage of Firmicute in Natural (21.96%) and PV_AC (13.70%) was higher than other two habitats, Actinobacteriota has the highest proportion in AC (20.93%). Furthermore, stochastic processes dominate community assembly in PV, PV_AC, and AC habitats, it has the highest proportion in PV, particularly on dispersal limitation (DL). However, deterministic processes prevail in Natural habitats, particularly on heterogeneous selection (HeS). Collectively, these findings highlight the significant differences in sediment bacterial communities across various habitats in subsidence lakes. Our study provides valuable insights into understanding the ecological implications of different habitats in subsidence lake ecosystems.
由于广泛的地下采煤活动而形成的塌陷湖，既带来了生态挑战，也为光伏发电和水产养殖等替代性土地利用方式提供了机遇。然而，这些人为活动对塌陷湖内细菌群落的生态影响在很大程度上仍未得到探索。为了填补这一知识空白，我们对位于中国安徽省淮南市的两个典型塌陷湖区的细菌群落进行了全面调查。在四个不同的栖息地共采集了44个沉积物样本：光伏区（PV）、水产养殖区（AC）、光伏 - 水产养殖区（PV_AC）和未受影响区（自然区）。使用16S rRNA基因测序和各种统计方法对细菌群落进行了研究。我们的结果表明，PV、PV_AC和AC栖息地中细菌群落的α多样性和网络复杂性显著高于自然栖息地（P < 0.01）。具体而言，α多样性在PV栖息地中最高，而网络复杂性在AC栖息地中最高。网络稳定性在PV和PV_AC栖息地中最高，而在AC中最低。不同栖息地之间的群落结构也存在显著差异，PV中的硝化螺旋菌（31.9%）高于其他三个栖息地，自然区（21.96%）和PV_AC（13.70%）中厚壁菌门的百分比高于其他两个栖息地，放线菌门在AC中的比例最高（20.93%）。此外，随机过程在PV、PV_AC和AC栖息地中主导群落组装，在PV中比例最高，特别是在扩散限制（DL）方面。然而，确定性过程在自然栖息地中占主导地位，特别是在异质性选择（HeS）方面。总体而言，这些发现突出了塌陷湖不同栖息地沉积物细菌群落的显著差异。我们的研究为理解塌陷湖生态系统中不同栖息地的生态影响提供了有价值的见解。
