Microbial mediation of soil carbon loss at the potential climax of alpine grassland under warming
文献类型: 外文期刊
作者: Zhengxiong Liang;Xue Guo;Suo Liu;Yifan Su;Yufei Zeng;Changyi Xie;Qun Gao;Jiesi Lei;Baochan Li;Mei Wang;Tianjiao Dai;Liyuan Ma;Fenliang Fan;Yunfeng Yang;Xuehua Liu;Jizhong Zhou
作者机构:
关键词: Climate warming;Climax;Cold regions;Microbial community;Soil organic carbon
期刊名称: Soil Biology and Biochemistry
ISSN: 0038-0717
年卷期: 2024 年 192 卷
页码:
收录情况: SCIE(2024版) ; ; EI(2024版)
摘要: Soil in high latitude and altitude cold regions contains over half of soil organic carbon (SOC) globally, so the decomposition of these SOCs under climate warming could release huge amounts of carbon dioxide to the atmosphere, amplifying climate warming. However, it is still unclear how the SOC storages will change when the ecosystem reaches the final and stable stage (i.e., the climax) under long-term warming. This is mainly because the turnover times of SOC in cold regions exceeds hundreds or even thousands of years, much longer than the periods of simulated warming experiments. Herein we used natural geothermal warming gradients in a Tibetan alpine grassland to determine SOC changes and underlying plant and microbial mechanisms at the potential climax. SOC concentrations were significantly decreased by 21.4%–30.6% under high-level soil warming (+4∼+6 °C), but remained unchanged under low-level soil warming (+2 °C). The losses of SOC were primarily from mineral-associated organic carbon, rather than unprotected particulate organic carbon. The shifts of microbial communities and associated decline of microbial carbon use efficiency, rather than plant-driven carbon fluxes, substantially contributed to the SOC changes. This observed SOC losses at the climax of alpine grassland by high-level warming provide strong empirical support for the positive soil carbon-climate feedback in cold regions, which could not be concluded from short-term experiments or only based on ecosystem carbon fluxes alone. The divergent responses of SOC to different degrees of warming suggest that models must account for these heterogeneous carbon dynamics for projecting future climate warming scenarios.
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