土壤水分
环境科学
土壤呼吸
土壤碳
微生物种群生物学
碳循环
呼吸
生态系统
气候变化
二氧化碳
全球变暖
大气科学
问题10
土壤科学
农学
生态学
生物量(生态学)
生物
植物
地质学
遗传学
细菌
作者
Kristiina Karhu,Marc Auffret,Jennifer A. J. Dungait,D. W. Hopkins,James I. Prosser,Brajesh K. Singh,Jens‐Arne Subke,Philip A. Wookey,Göran I. Ågren,Maria‐Teresa Sebastià,Fabrice Gouriveau,Göran Bergkvist,Patrick Meir,Andrew T. Nottingham,Norma Salinas,Iain P. Hartley
出处
期刊:Nature
[Springer Nature]
日期:2014-09-01
卷期号:513 (7516): 81-84
被引量:501
摘要
Soils store about four times as much carbon as plant biomass, and soil microbial respiration releases about 60 petagrams of carbon per year to the atmosphere as carbon dioxide. Short-term experiments have shown that soil microbial respiration increases exponentially with temperature. This information has been incorporated into soil carbon and Earth-system models, which suggest that warming-induced increases in carbon dioxide release from soils represent an important positive feedback loop that could influence twenty-first-century climate change. The magnitude of this feedback remains uncertain, however, not least because the response of soil microbial communities to changing temperatures has the potential to either decrease or increase warming-induced carbon losses substantially. Here we collect soils from different ecosystems along a climate gradient from the Arctic to the Amazon and investigate how microbial community-level responses control the temperature sensitivity of soil respiration. We find that the microbial community-level response more often enhances than reduces the mid- to long-term (90 days) temperature sensitivity of respiration. Furthermore, the strongest enhancing responses were observed in soils with high carbon-to-nitrogen ratios and in soils from cold climatic regions. After 90 days, microbial community responses increased the temperature sensitivity of respiration in high-latitude soils by a factor of 1.4 compared to the instantaneous temperature response. This suggests that the substantial carbon stores in Arctic and boreal soils could be more vulnerable to climate warming than currently predicted.
科研通智能强力驱动
Strongly Powered by AbleSci AI