Denitrification Losses in Response to N Fertilizer Rates—Integrating High Temporal Resolution N2O, In Situ 15N2O and 15N2 Measurements and Fertilizer 15N Recoveries in Intensive Sugarcane Systems

反硝化 一氧化二氮 肥料 氮气 浸出(土壤学) 化学 动物科学 环境科学 环境化学 大气科学 土壤科学 土壤水分 物理 生物 有机化学
作者
Naoya Takeda,Johannes Friedl,Robert Kirkby,David Rowlings,Clemens Scheer,Daniele De Rosa,Peter Grace
出处
期刊:Journal Of Geophysical Research: Biogeosciences [Wiley]
卷期号:128 (9) 被引量:6
标识
DOI:10.1029/2023jg007391
摘要

Abstract Denitrification is a key process in the global nitrogen (N) cycle, causing both nitrous oxide (N 2 O) and dinitrogen (N 2 ) emissions. However, estimates of seasonal denitrification losses (N 2 O + N 2 ) are scarce, reflecting methodological difficulties in measuring soil‐borne N 2 emissions against the high atmospheric N 2 background and challenges regarding their spatio‐temporal upscaling. This study investigated N 2 O + N 2 losses in response to N fertilizer rates (0, 100, 150, 200, and 250 kg N ha −1 ) on two intensively managed tropical sugarcane farms in Australia, by combining automated N 2 O monitoring, in situ N 2 and N 2 O measurements using the 15 N gas flux method and fertilizer 15 N recoveries at harvest. Dynamic changes in the N 2 O/(N 2 O + N 2 ) ratio (<0.01 to 0.768) were explained by fitting generalized additive mixed models (GAMMs) with soil factors to upscale high temporal‐resolution N 2 O data to daily N 2 emissions over the season. Cumulative N 2 O + N 2 losses ranged from 12 to 87 kg N ha −1 , increasing non‐linearly with increasing N fertilizer rates. Emissions of N 2 O + N 2 accounted for 31%–78% of fertilizer 15 N losses and were dominated by environmentally benign N 2 emissions. The contribution of denitrification to N fertilizer loss decreased with increasing N rates, suggesting increasing significance of other N loss pathways including leaching and runoff at higher N rates. This study delivers a blueprint approach to extrapolate denitrification measurements at both temporal and spatial scales, which can be applied in fertilized agroecosystems. Robust estimates of denitrification losses determined using this method will help to improve cropping system modeling approaches, advancing our understanding of the N cycle across scales.
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