Assessing the impacts of diversified crop rotation systems on yields and nitrous oxide emissions in Canada using the DNDC model

文献类型： 外文期刊

第一作者： Jiang, Rong

作者： Jiang, Rong;He, Ping;Zhou, Wei;Jiang, Rong;Yang, J. Y.;Drury, C. F.;He, Wentian;He, Wentian;Smith, W. N.;Grant, B. B.

作者机构：

关键词： DNDC model; Rotation cropping systems; Crop yields; Nitrous oxide emissions; Climate variability

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：7.963； 五年影响因子：7.842 ）

ISSN： 0048-9697

年卷期： 2021 年 759 卷

页码：

收录情况： SCI

摘要： Process-basedmodels are effective tools for assessing the sustainability of agricultural productivity and environmental health under various management practices and rotation systems. The objectives of this study were to (1) calibrate and evaluate the DeNitrification-DeComposition (DNDC) model using measurements of yields, nitrogen (N) uptake, soil inorganic N, soil temperature, soil moisture and nitrous oxide (N2O) emissions under long-termfertilized continuous corn (CC) and corn-oats-alfalfa-alfalfa (COAA) rotation systems in southwest Ontario from 1959 to 2015, Canada, and (2) explore the impacts of four diverse rotation systems (CC, COAA, corn-soybean-corn-soybean (CSCS) and corn-soybean-winterwheat (CSW)) on corn yields and annual N2O emissions under long-termclimate variability. DNDC demonstrated "good" performance in simulating corn, oats and alfalfa yield (normalized root mean square error (nRMSE) < 20%, Nash-Sutcliffe efficiency (NSE) > 0.5 and index of agreement (d) > 0.8). The model provided "fair" to "good" simulations for corn N uptake and soil inorganic N (NSE > 0.2 and d > 0.8), and also daily soil temperature and soil moisture (nRMSE <30% and d > 0.7) for both calibration and validation periods. The model demonstrated "good" performance in estimating daily and cumulative N2O emissions from both the continuous and rotational corn, whereas it produced "poor" to "good" predictions for N2O emissions fromthe rotational oats and alfalfa crops, however, the emissions fromthese crops were very low and the relative magnitude of these emissions between all crops investigated were well predicted. The lowest N2O emissions were fromCOAA followed by CSCS, CSWthen CC. The highest corn yields were from COAA, followed by CSW, CSCS, then CC. This study highlights how modelling approaches can help improve the understanding of the impacts of diversified rotations on crop production and greenhouse gas emissions and contribute towards developing policies aimed at improving the sustainability and resiliency of cropping systems. (C) 2020 Elsevier B.V. All rights reserved.

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