Research Institute of Tibet Plateau Ecology, Tibet Agricultureal & Animal Husbandry University, Nyingchi, Tibet 860000, China; Key Laboratory of Forest Ecology in Tibet Plateau, Ministry of Education, Nyingchi, Tibet 860000, China; National Key Station of Field Scientific Observation & Experiment, Nyingchi, Tibet 860000, China; Key Laboratory of Alpine Vegetation Ecological Security in Tibet, Nyingchi, Tibet 860000, China.
Research Institute of Tibet Plateau Ecology, Tibet Agricultureal & Animal Husbandry University, Nyingchi, Tibet 860000, China; Key Laboratory of Forest Ecology in Tibet Plateau, Ministry of Education, Nyingchi, Tibet 860000, China; National Key Station of Field Scientific Observation & Experiment, Nyingchi, Tibet 860000, China; Key Laboratory of Alpine Vegetation Ecological Security in Tibet, Nyingchi, Tibet 860000, China; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ. 2024 Jan 10;907:167809. doi: 10.1016/j.scitotenv.2023.167809. Epub 2023 Oct 18.
Global climate change affects the soil microbial community assemblages of many ecosystems. However, little is known about the effects of climate warming on the structure of soil microbial communities or the underlying mechanisms that influence microbial community composition in alpine forest ecosystems. Thus, our ability to predict the future consequences of climate change is limited. In this study, with the use of PVC pipes, the in situ soils of the rush-tip long-bud Abies georgei var. smithii forest at 3500 and 4300 m above sea level (MASL) of the Sygera Mountains were incubated in pairs for 1 year to simulate climate cooling and warming. This shift corresponds to a change in soil temperature of ±4.7 °C. Findings showed that climate warming increased the complexity of bacterial networks but decreased the complexity of fungal networks. Climate cooling also increased the complexity of bacterial networks. However, in fungal communities, climate cooling increased the number of nodes but decreased the total number of edges. Stochastic processes acted as the drivers of bacterial community composition, with climate warming leading the shift from deterministic to stochastic drivers. Fungal communities were more sensitive to climate change than bacterial communities, with soil temperature (ST) and soil water content (SWC) acting as the main drivers of change. By contrast, soil bacterial communities were more closely related to soil conditions than fungal communities and remained stable after a year of soil transplantation. In conclusion, fungi and bacteria had different response patterns, and their responses to climate cooling and warming were asymmetric. This work is expected to contribute to our understanding of the response to climate change of soil microbial communities in alpine forests and our prediction of the functions of soil microbial ecosystems in alpine forests.
全球气候变化影响了许多生态系统的土壤微生物群落组合。然而，对于气候变暖如何影响高寒森林生态系统土壤微生物群落结构及其影响微生物群落组成的潜在机制，我们知之甚少。因此，我们预测气候变化未来影响的能力有限。在这项研究中，我们使用 PVC 管将 3500 和 4300 米海拔（MASL）的 Sygera 山脉 rush-tip long-bud Abies georgei var. smithii 森林的原位土壤成对进行了为期 1 年的培养，以模拟气候降温与增温。这一转变对应于土壤温度变化±4.7°C。研究结果表明，气候变暖增加了细菌网络的复杂性，但降低了真菌网络的复杂性。气候降温也增加了细菌网络的复杂性。然而，在真菌群落中，气候降温增加了节点的数量，但减少了总边数。随机过程是细菌群落组成的驱动因素，气候变暖导致从确定性驱动因素向随机驱动因素的转变。真菌群落对气候变化比细菌群落更为敏感，土壤温度（ST）和土壤含水量（SWC）是变化的主要驱动因素。相比之下，土壤细菌群落与土壤条件的关系比真菌群落更为密切，在土壤移植一年后仍保持稳定。总之，真菌和细菌具有不同的响应模式，它们对气候降温与增温的响应是不对称的。这项工作有望增进我们对高寒森林土壤微生物群落对气候变化响应的理解，并预测高寒森林土壤微生物生态系统的功能。
