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Get Free Access. More dry-season droughts and wet-season storms have been predicted in subtropical areas. Since subtropical forest soils are significant sources of N2O and NO3−, it is important to understand the features and determinants of N transformation responses to the predicted precipitation changes. A precipitation manipulation field experiment was conducted to reduce dry-season precipitation and increase wet-season precipitation, while keeping the annual precipitation unchanged in a subtropical forest. Net N mineralization, net nitrification, N2O emission, nitrifying (bacterial and archaeal amoA) and denitrifying (nirK, nirS and nosZ) genes abundance, microbial biomass carbon (MBC) and soil physicochemical properties were monitored to characterize and explain soil N transformation responses. Dry-season precipitation reduction decreased net nitrification and N mineralization rates by 13–20 %, while wet-season precipitation addition increased both rates by 50 %. More than 20 % of the total variation of net nitrification and N mineralization could be explained by microbial abundance and soil water content (SWC), but archaeal amoA abundance was the main factor. Increased net nitrification in wet season together with large precipitation events caused substantial NO3− losses via leaching. However, N2O emission decreased moderately either in dry or wet seasons due to changes in nosZ gene abundance, MBC, net nitrification and SWC (decreased by 10–21 %). We conclude that reducing dry-season precipitation and increasing wet-season precipitation affect N transformation mainly through altering functional microbial abundance and MBC, which are further determined by changes in DOC and NH4+ availabilities. Such contrasting precipitation pattern will increase droughts and NO3− leaching in subtropical forests.
Jie Chen, Guoliang Xiao, Yakov Kuzyakov, D. Jenerette, Ying Ma, Wei Liu, Zheng‐Feng Wang, Weijun Shen (2017). Soil nitrogen transformation responses to seasonal precipitation changes are regulated by changes in functional microbial abundance in a subtropical forest. , DOI: 10.5194/bg-2017-3.
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Type
Preprint
Year
2017
Authors
8
Datasets
0
Total Files
0
Language
English
DOI
10.5194/bg-2017-3
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