Microbial mediation of soil carbon loss at the potential climax of alpine grassland under warming

高潮 草原 碳循环 生态学 环境科学 农学 生物 生态系统
作者
zhengxiong liang,Xue Guo,Suo Liu,Yifan Su,Yufei Zeng,Chang-Yi Xie,Qun Gao,Jiesi Lei,Baochan Li,Wang Mei,Tianjiao Dai,Liyuan Ma,Fenliang Fan,Yunfeng Yang,Xuehua Liu,Jizhong Zhou
出处
期刊:Soil Biology & Biochemistry [Elsevier]
卷期号:192: 109395-109395 被引量:2
标识
DOI:10.1016/j.soilbio.2024.109395
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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