Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Commun Biol. 2024 Jun 4;7(1):686. doi: 10.1038/s42003-024-06396-y.
Microbial necromass carbon (MNC) can reflect soil carbon (C) sequestration capacity. However, changes in the reserves of MNC in response to warming in alpine grasslands across the Tibetan Plateau are currently unclear. Based on large-scale sampling and published observations, we divided eco-clusters based on dominant phylotypes, calculated their relative abundance, and found that their averaged importance to MNC was higher than most other environmental variables. With a deep learning model based on stacked autoencoder, we proved that using eco-cluster relative abundance as the input variable of the model can accurately predict the overall distribution of MNC under current and warming conditions. It implied that warming could lead to an overall increase in the MNC in grassland topsoil across the Tibetan Plateau, with an average increase of 7.49 mg/g, a 68.3% increase. Collectively, this study concludes that alpine grassland has the tendency to increase soil C sequestration capacity on the Tibetan Plateau under future warming.
微生物残体碳 (MNC) 可以反映土壤碳 (C) 的固存能力。然而,目前尚不清楚青藏高原高寒草原土壤中 MNC 储量对变暖的响应变化。基于大规模采样和已发表的观测结果,我们根据优势菌型对生态群进行了划分,计算了它们的相对丰度,并发现它们对 MNC 的平均重要性高于大多数其他环境变量。利用基于堆叠自动编码器的深度学习模型,我们证明了使用生态群相对丰度作为模型的输入变量可以准确预测当前和变暖条件下 MNC 的整体分布。这意味着变暖可能导致青藏高原草原表土中 MNC 的整体增加,平均增加 7.49mg/g,增加 68.3%。总的来说,本研究得出结论,在未来变暖的情况下,青藏高原高寒草原有增加土壤 C 固存能力的趋势。