Drainage ditches are significant sources of indirect N2O emissions regulated by available carbon to nitrogen substrates in salt-affected farmlands

Agriculture is a main source of nitrous oxide (N2O) emissions. In agricultural systems, direct N2O emissions from nitrogen (N) addition to soils have been widely investigated, whereas indirect emissions from aquatic ecosystems such as ditches are poorly known, with insufficient data available to refine the IPCC emission factor. In this contribution, in situ N2O emissions from two ditch water‒air interfaces based on a diffusion model were investigated (almost once per month) from June 2021 to December 2022 in an intensive arable catchment with high N inputs and salt-affected conditions in the Qingtongxia Irrigation District, northwestern China. Our results implied that agricultural ditches (mean 148 μg N m-2 h-1) were significant sources for N2O emissions, and were approximately 2.1 times greater than those of the Yellow River directly connected to ditches. Agronomic management strategies increased N2O fluxes in summer, while precipitation events decreased N2O fluxes. Agronomic management strategies, including fertilization (294--540 kg N hm-2) and irrigation on farmland, resulted in enhanced diffuse N loads in drain water, whereas precipitation diluted the dissolved N2O concentration in ditches and accelerated the ditch flow rate, leading to changes in the residence time of N-containing substances in water. The spatial analysis showed that N2O fluxes (202-233 μg N m-2 h-1) in the headstream and upstream regions of ditches due to livestock and aquaculture pollution sources were relatively high compared to those in the midstream and downstream regions (100-114 μg N m-2 h-1). Furthermore, high available carbon (C) relative to N reduced N2O fluxes at low DOC:DIN ratio levels by inhibiting nitrification. Spatiotemporal variations in the N2O emission factor (EF5) across ditches with higher N resulted in lower EF5 and a large coefficient of variation (CV) range. EF5 was 0.0011 for the ditches in this region, while the EF5 (0.0025) currently adopted by the IPCC is relatively high. The EF5 variation was strongly controlled by the DOC:DIN ratio, TN, and NO3--N, while salinity was also a nonnegligible factor regulating the EF5 variation. The regression model incorporating NO3--N and the DOC:DIN ratio could greatly enhance the predictions of EF5 for agricultural ditches. Our study filled a key knowledge gap regarding EF5 from agricultural ditches in salt-affected farmland and offered a field investigation for refining the EF5 currently used by the IPCC.

Suburban agriculture increased N levels but decreased indirect N2O emissions in an agricultural-urban gradient river

The effects of land use on riverine N₂O emissions are not well understood, especially in suburban zones between urban and rural with distinct anthropogenic perturbations. Here, we investigated in situ riverine N₂O emissions among suburban, urban, and rural sections of a typical agricultural-urban gradient river, the Qinhuai River of Southeastern China from June 2010 to September 2012. Our results showed that suburban agriculture greatly increased riverine N concentration compared to traditional agricultural rivers (TAR). The mean total dissolved nitrogen (TDN) concentration was 8.18 mg N L^-1 in the suburban agricultural rivers (SUAR), which was almost the same as that in the urban rivers (UR, of 8.50 mg N L^-1), compared to that in TAR (0.92 mg N L^-1). However, the annual average indirect N₂O flux from the SUAR was only 27.15 μg N₂O-N m^-2 h^-1, which was slightly higher than that from the TAR (13.14 μg N₂O-N m^-2 h^-1) but much lower than that from the UR (131.10 μg N₂O-N m^-2 h^-1). Moreover, the average N₂O emission factor (EF_5r, N₂O-N/DIN-N) in the SUAR (0.0002) was significantly lower than those in the TAR (0.0028) and UR (0.0004). The limited indirect N₂O fluxes from the SUAR are best explained by the high riverine dissolved organic carbon (DOC) and low dissolved oxygen, which probably reduced the denitrification source N₂O by favoring complete denitrification to produce N₂ and inhibited the nitrification source N₂O, respectively. An exponential decrease model incorporating dissolved inorganic nitrogen and DOC could greatly improve our EF_5r predictions in the agricultural-urban gradient river. Given the unprecedented suburban agriculture in the world, more studies in suburban agricultural rivers are needed to further refine the EF_5r and better reveal the mechanisms behind indirect N₂O emissions as influenced by suburban agriculture.

Indirect N2O emissions from groundwater under high nitrogen-load farmland in eastern China

Current estimates of global indirect N₂O emissions are based on a relatively small dataset and remain a major source of uncertainly in the global N₂O budget. Nitrogen (N)-enriched groundwater from agricultural fields may act as an important source of indirect N₂O emissions as it discharges to adjacent watershed areas. During 2015-2017, dissolved N₂O concentrations in groundwater were measured and indirect N₂O emission factors (EF_5g) calculated under three typical high-N land-use types (vineyard, vegetable field and paddy field) in eastern China. The average dissolved N₂O concentrations in groundwater were 58.1 ± 40.4, 18.5 ± 11.5 and 0.72 ± 0.27  μg N L^-1 for vineyard, vegetable field and paddy field, respectively. The dissolved N₂O was over-saturated and was therefore a net source of N₂O to the atmosphere. The indirect N₂O emission factors (EF_5g) of vineyard (0.0091) and vegetable (0.0092) fields were much higher than the current Intergovernmental Panel on Climate Change (IPCC) default value of 0.0025 which indicated that these land-uses may have led to indirect N₂O emissions from the underlying groundwater. In contrast, the EF_5g of the paddy field (0.0019) was slightly lower than the default EF_5g proposed by IPCC (2006) and contributed minimal indirect N₂O emissions to the atmosphere. However, the current IPCC method may have overestimated the contribution of groundwater N₂O to the global N cycle because it took residual but not initial groundwater NO₃^--N concentration into account when calculating EF_5g. Therefore, we proposed the adoption of an improved method for calculating the EF_5g and compared it to the current IPCC (2006) method using data from the present study and other published data. The results of the comparison showed that the improved method was more scientifically appropriate measurement for calculating EF_5g.