Bioclimate and arbuscular mycorrhizal fungi regulate continental biogeographic variations in effect of nitrogen deposition on the temperature sensitivity of soil organic carbon decomposition

土壤学 土壤碳 沉积(地质) 环境科学 陆地生态系统 碳循环 生态系统 土壤有机质 生态学 大气科学 环境化学 生物 土壤科学 化学 土壤水分 地质学 沉积物 古生物学
作者
Qingkui Wang,Xuechao Zhao,Peng Tian,Shengen Liu,Zhaolin Sun
出处
期刊:Land Degradation & Development [Wiley]
卷期号:32 (2): 936-945 被引量:10
标识
DOI:10.1002/ldr.3651
摘要

Abstract The temperature sensitivity ( Q 10 ) of soil organic carbon (SOC) decomposition is an important parameter for those seeking accurate projections of SOC dynamics and its feedback on climate change in terrestrial ecosystems. However, how Q 10 responds to N deposition across environmental gradients and the underlying mechanism remain largely unresolved. We conducted a novel incubation experiment with periodically varying temperature based on the of soil origin sites to elucidate the responses of Q 10 to N addition across China. Our results demonstrated that N addition effects (NAEs) on Q 10 were negatively related to latitude and were strongly site dependent. Bioclimatic, edaphic, and microbial variables together explained 50.1% of the total variation in NAEs on Q 10 , but bioclimate (16.0%) had the greater explanation than edaphic (11.8%) and microbial properties (6.3%). The response of soil exchangeable Ca 2+ to N addition was a predictive power for NAEs on Q 10 , contributing 7.2% relative importance in regulating this variation. Furthermore, arbuscular mycorrhizal fungi indicated by Glomeromycota were the best microbial predictor and contributed 10.9% relative importance in the variation regulating NAEs on Q 10 . Overall, our results suggest that increasing N addition will increase the sensitivity of SOC decomposition to global warming and highlight the importance of bioclimate, exchangeable Ca 2+ , and arbuscular mycorrhizal fungi in predicting the response of Q 10 to N deposition in natural terrestrial ecosystems. The biogeographic variation in response of Q 10 to N deposition should be considered in carbon‐climate models to decrease the prediction uncertainties of SOC dynamics and its feedback to global warming.
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