N loss to drain flow and N2O emissions from a corn-soybean rotation with winter rye

被引:37
作者
Gillette, K. [1 ]
Malone, R. W. [1 ]
Kaspar, T. C. [1 ]
Ma, L. [2 ]
Parkin, T. B. [1 ]
Jaynes, D. B. [1 ]
Fang, Q. X. [3 ]
Hatfield, J. L. [1 ]
Feyereisen, G. W. [4 ]
Kersebaum, K. C. [5 ]
机构
[1] USDA ARS, Natl Lab Agr & Environm, Ames, IA 50011 USA
[2] USDA ARS, Rangeland Resources & Syst Res Unit, Ft Collins, CO 80522 USA
[3] Qingdao Agr Univ, Qingdao, Peoples R China
[4] ARS, USDA, Soil & Water Management Res, St Paul, MN USA
[5] Leibniz Ctr Agr Landscape Res, ZALF, Muncheberg, Germany
关键词
NITROUS-OXIDE EMISSIONS; RZ-SHAW MODEL; COVER-CROP; WATER-QUALITY; SUBSURFACE DRAINAGE; TILE DRAINAGE; MANAGEMENT MODEL; NITRATE LOSS; SOIL; SYSTEM;
D O I
10.1016/j.scitotenv.2017.09.054
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Anthropogenic perturbation of the global nitrogen cycle and its effects on the environment such as hypoxia in coastal regions and increased N2O emissions is of increasing, multi-disciplinary, worldwide concern, and agricultural production is a major contributor. Only limited studies, however, have simultaneously investigated NO3 losses to subsurface drain flow and N2O emissions under corn-soybean production. We used the Root Zone Water Quality Model (RZWQM) to evaluate NO3- losses to drain flow and N2O emissions in a corn-soybean system with a winter rye cover crop (CC) in central Iowa over a nine year period. The observed and simulated average drain flow N concentration reductions from CC were 60% and 54% compared to the no cover crop system (NCC). Average annual April through October cumulative observed and simulated N2O emissions (2004-2010) were 6.7 and 6.0 kg N2O-N ha(-1) yr(-1) for NCC, and 6.2 and 7.2 kg N ha(-1) for CC. In contrast to previous research, monthly N2O emissions were generally greatest when N loss to leaching were greatest, mostly because relatively high rainfall occurred during the months fertilizer was applied. N2O emission factors of 0.032 and 0.041 were estimated for NCC and CC using the tested model, which are similar to field results in the region. A local sensitivity analysis suggests that lower soil field capacity affects RZWQM simulations, which includes increased drain flow nitrate concentrations, increased N mineralization, and reduced soil water content. The results suggest that 1) RZWQM is a promising tool to estimate N2O emissions from subsurface drained corn-soybean rotations and to estimate the relative effects of a winter rye cover crop over a nine year period on nitrate loss to drain flow and 2) soil field capacity is an important parameter to model N mineralization and N loss to drain flow. Published by Elsevier B.V.
引用
收藏
页码:982 / 997
页数:16
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