土壤碳
碳循环
环境科学
全球变暖
固碳
气候变化
生态系统
温室气体
全球变化
自行车
大气科学
土壤水分
土壤科学
生态学
二氧化碳
地质学
生物
历史
考古
作者
Benjamin N. Sulman,Jessica A. M. Moore,Rose Abramoff,Colin Averill,Stephanie N. Kivlin,Katerina Georgiou,Bhavya Sridhar,Melannie D. Hartman,Gangsheng Wang,William R. Wieder,Mark A. Bradford,Yiqi Luo,Melanie A. Mayes,Eric W. Morrison,W. J. Riley,Alejandro Salazar,Joshua P. Schimel,Jinyun Tang,Aimée T. Classen
出处
期刊:Biogeochemistry
[Springer Science+Business Media]
日期:2018-10-11
卷期号:141 (2): 109-123
被引量:233
标识
DOI:10.1007/s10533-018-0509-z
摘要
Soils contain more carbon than plants or the atmosphere, and sensitivities of soil organic carbon (SOC) stocks to changing climate and plant productivity are a major uncertainty in global carbon cycle projections. Despite a consensus that microbial degradation and mineral stabilization processes control SOC cycling, no systematic synthesis of long-term warming and litter addition experiments has been used to test process-based microbe-mineral SOC models. We explored SOC responses to warming and increased carbon inputs using a synthesis of 147 field manipulation experiments and five SOC models with different representations of microbial and mineral processes. Model projections diverged but encompassed a similar range of variability as the experimental results. Experimental measurements were insufficient to eliminate or validate individual model outcomes. While all models projected that CO2 efflux would increase and SOC stocks would decline under warming, nearly one-third of experiments observed decreases in CO2 flux and nearly half of experiments observed increases in SOC stocks under warming. Long-term measurements of C inputs to soil and their changes under warming are needed to reconcile modeled and observed patterns. Measurements separating the responses of mineral-protected and unprotected SOC fractions in manipulation experiments are needed to address key uncertainties in microbial degradation and mineral stabilization mechanisms. Integrating models with experimental design will allow targeting of these uncertainties and help to reconcile divergence among models to produce more confident projections of SOC responses to global changes.
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