文献类型： 外文期刊

作者： Fan, Daijia ¹ ; Song, Daping ¹ ; Jiang, Rong ¹ ; He, Ping ² ; Shi, Yaoyao ¹ ; Pan, Zhaolong ² ; Zou, Guoyuan ¹ ; He, Wentian ¹ ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr Resources & Environm, Beijing 100097, Peoples R China

2.Chinese Acad Agr Sci, Key Lab Plant Nutr & Fertilizer, Minist Agr & Rural Affairs, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

关键词： Maize yield; N 2 O emissions; DNDC model; Climate change; Adaptation strategies

期刊名称：ATMOSPHERIC ENVIRONMENT （ 影响因子：5.0； 五年影响因子：5.2 ）

ISSN： 1352-2310

年卷期： 2024 年 319 卷

页码：

收录情况： SCI

摘要： Optimizing management practices is essential to guarantee crop yield and reduce greenhouse gas emissions for the sustainable agricultural production under climate change. The objectives of this study were to i) calibrate and evaluate the Denitrification-Decomposition (DNDC) model using the measurements of maize yield, nitrogen (N) uptake, soil temperature, soil moisture, soil inorganic N and nitrous oxide (N2O) emissions from a 5-year maize field experiment in Northeast China (NEC) and ii) simulate the impacts of climate change on maize yield and N2O emissions and explore adaptation strategies based on DNDC modelling. For N-fertilized treatments (farmers' practice, FP-N; current optimized management, OPT-N), the DNDC model overall showed "good" performance in simulating maize yield, aboveground biomass, N uptake and soil inorganic N based on the average statistical values. The model also performed well in simulating soil moisture, soil temperature and N2O emissions. For N-unfertilized treatments, however, the DNDC model overestimated crop yield and N uptake mainly due to the overestimation of crop growth under low-temperature stress conditions, and the underestimation of soil inor-ganic N resulted from the underestimated N mineralization and N availability from the dissolved inorganic N pools under continuous N deficiency. The DNDC model showed that compared to the baseline scenario, future climate change would improve the maize yield (1.4-8.8%) while increasing the N2O emissions (37.6-83.4%) without adaptation measures in NEC. Compared to OPT-N management, solely adjusting N fertilization rate (200-220 kg N ha-1) would concurrently increase maize yield (5.0-8.7%) and N2O emissions (0.9-18.6%), while the adoption of optimized planting dates (April 27th to May 18th), new cultivars (with thermal degree days ranging from 2550 to 2700 degrees C), and the implementation of no-tillage and maize-soybean rotation would increase the maize yield by 1.8-8.9% and reduce the N2O emissions by 0.7-26.5% under future climate change scenarios. This study provided insights into the adaptive management strategies for the sustainable maize production under climate change in NEC.