氮气循环
矿化(土壤科学)
硝化作用
优势(遗传学)
生态学
温带森林
土壤pH值
生物
生态系统
农学
土壤微生物学
土壤水分
植物
化学
氮气
基因
生物化学
有机化学
作者
Guigang Lin,Zuoqiang Yuan,Yansong Zhang,De‐Hui Zeng,Xugao Wang
出处
期刊:Biogeochemistry
[Springer Science+Business Media]
日期:2022-02-25
卷期号:158 (3): 405-421
被引量:16
标识
DOI:10.1007/s10533-022-00909-9
摘要
Tree–fungal symbioses are increasingly recognized to affect soil nitrogen (N) transformations, yet the role of free-living soil microbes in the process is largely unclear. Soil microbes directly interact with trees and are a primary driver of many N transformation processes. Here, we explored the linkage among tree mycorrhizal associations, free-living soil microbes and N transformation rates in a temperate forest of Northeast China. Across a gradient of increasing ectomycorrhizal (ECM) tree dominance, we measured soil acid–base chemistry, bacterial and fungal abundances, N-hydrolyzing enzyme activities, abundances and community composition of ammonia-oxidizing archaea (AOA) and bacteria, and net N mineralization and net nitrification rates. Results showed that soil pH, exchangeable base cations, inorganic N concentrations and N transformation rates decreased with increasing ECM tree dominance. The ECM tree dominance was negatively related to soil bacterial and AOA amoA gene abundances, and positively to soil fungal abundances and β-N-acetylglucosaminidase activities. These shifts in soil microbial abundances and enzyme activities along the mycorrhizal gradient were linked with the increase in soil acidity with increasing ECM tree dominance. Piecewise structural equation models revealed that ECM tree dominance was not directly related to N transformation rates, but indirectly to net N mineralization rates by affecting bacterial and fungal abundances, and indirectly to net nitrification rates by influencing AOA amoA gene abundances. Collectively, our results indicate that soil microbes provide a mechanistic link between mycorrhizal associations and soil N transformations, and suggest that shifts in forest mycorrhizal associations under global change could have profound consequences for biogeochemical cycling of temperate forests.
科研通智能强力驱动
Strongly Powered by AbleSci AI