首页> 外文期刊>Agricultural Systems >Estimating the impacts of climate change on crop yields and N2O emissions for conventional and no-tillage in Southwestern Ontario, Canada
【24h】

Estimating the impacts of climate change on crop yields and N2O emissions for conventional and no-tillage in Southwestern Ontario, Canada

机译:估算加拿大安大略省西南部常规和无耕作作物产量和N2O排放的气候变化对常规和耕作的影响

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Accurately predicting the impacts of higher temperatures, different precipitation rates and elevated CO2 concentrations on crop yields and GHG emissions is required in order to develop adaptation strategies. The objectives of this study were to calibrate and evaluate a regionalized denitrification-decomposition (DNDC) model using measured crop yield, soil temperature, moisture and N2O emissions, and to explore the impacts of climate change scenarios (Representative Concentration Pathways (RCP) 4.5 and RCP 8.5) on crop yields and N2O emissions in Southwestern Ontario, Canada. This simulation study was based on a winter wheat-maize-soybean rotation under conventional tillage (CT) and no tillage (NT) practices at Woodslee, Ontario, Canada. The model was calibrated using various statistics including the d index (0.85-0.99), NSE (Nash-Sutcliffe efficiency, NSE & 0) and nRMSE (normalized root mean square error, nRMSE & 10%) all of which provided "good" to "excellent" agreement between simulated and measured crop yields for both CT and NT practices. The calibrated DNDC model had a "good" performance in assessing soil temperature. However, there were no differences in simulated soil temperatures between CT and NT treatments and this was attributed to deficiencies in the temperature algorithm which does not consider the insulation effect of surface crop residues in the DNDC model. The DNDC model provided a reasonable prediction of soil water content in the 0-0.1 m depth, but it overestimated soil water content during dry conditions mainly because the model was unable to characterize preferential flow through clay cracks. Under future climate scenarios, soybean and maize yields were significantly increased corn pared to the baseline scenarios due to the benefits from higher optimum temperature for maize and increased CO2 for soybean. The mean annual N2O emissions for winter wheat significantly increased by about 38.1% for CT and 173% for NT under future RCP scenarios when using the current crop cultivars. However, when a new cultivar with higher TDD (thermal degree days) was used, the mean winter wheat yield increased by 39.5% under future climate scenarios compared to current cultivars and there were significant reductions in N2O emissions. The higher crop heat units cultivars and longer growing season length would contribute to increased biomass accumulation and crop N uptake. Hence there would be co-benefits with the development of high TDD cultivars in the future as they would not only increase crop yields but also reduce N2O emissions. Crown Copyright (C) 2017 Published by Elsevier Ltd. All rights reserved.
机译:为了开发适应策略,需要准确地预测较高温度,不同的降水率和升高的CO 2浓度和GHG排放。本研究的目的是使用测量的作物产量,土壤温度,水分和N2O排放来校准和评估区域化脱氮 - 分解(DNDC)模型,并探讨气候变化情景的影响(代表浓度途径(RCP)4.5和RCP 8.5)在加拿大安大略省西南部的作物产量和N2O排放。该仿真研究基于常规耕作(CT)下的冬小麦玉米大豆旋转,在加拿大安大略省伍兹利没有耕种(NT)实践。使用各种统计数据校准,包括D指数(0.85-0.99),NSE(NASH-SUTCLIFFE,NSE& GT; 0)和NRMSE(归一化的根均线误差,NRMSE& LT; 10%)这为CT和NT实践的模拟和测量的作物产量之间提供了“良好”的“优秀”协议。校准的DNDC模型在评估土壤温度时具有“良好”的性能。然而,CT和NT治疗之间的模拟土壤温度没有差异,这归因于温度算法的缺陷,该算法不考虑DNDC模型中表面裁剪残留物的绝缘效果。 DNDC模型提供了0-0.1米深度的土壤含水量的合理预测,但它在干燥条件下估计土壤含水量主要是因为模型不能通过粘土裂缝表征优先流量。由于玉米最佳温度和大豆增加的二氧化碳增加,大豆和玉米产量,玉米和玉米产量显着增加了基线情景的玉米玉米,玉米较高。在使用当前作物品种时,CT的冬小麦的平均N2O排放显着增加了约38.1%,对于未来的RCP情景,在未来的RCP情景下的173%。然而,当使用具有较高TDD(热度天)的新品种时,与目前的品种相比,未来的气候情景下,平均冬小麦产量增加了39.5%,并导致N2O排放量大减少。较高的作物热量单位品种和较长的生长季节长度将有助于增加生物质积累和作物N型吸收。因此,在未来的高地品种的发展中将有共同利益,因为它们不仅增加作物产量,而且还会降低N2O排放。 Crown版权所有(c)2017由elestvier有限公司出版。保留所有权利。

著录项

  • 来源
    《Agricultural Systems》 |2018年第2018期|共12页
  • 作者单位

    CAAS Inst Agr Resources &

    Reg Planning Key Lab Plant Nutr &

    Fertilizers Minist Agr Beijing 100081 Peoples R China;

    Agr &

    Agri Food Canada Harrow Res &

    Dev Ctr 2585 Cty Rd 20 Harrow ON N0R 1G0 Canada;

    Agr &

    Agri Food Canada Harrow Res &

    Dev Ctr 2585 Cty Rd 20 Harrow ON N0R 1G0 Canada;

    Agr &

    Agri Food Canada Ottawa Res &

    Dev Ctr 960 Carling Ave Ottawa ON K1A 0C6 Canada;

    Agr &

    Agri Food Canada Ottawa Res &

    Dev Ctr 960 Carling Ave Ottawa ON K1A 0C6 Canada;

    CAAS Inst Agr Resources &

    Reg Planning Key Lab Plant Nutr &

    Fertilizers Minist Agr Beijing 100081 Peoples R China;

    Agr &

    Agri Food Canada Ottawa Res &

    Dev Ctr 960 Carling Ave Ottawa ON K1A 0C6 Canada;

    CAAS Inst Agr Resources &

    Reg Planning Key Lab Plant Nutr &

    Fertilizers Minist Agr Beijing 100081 Peoples R China;

    Univ Florida Inst Sustainable Food Syst Gainesville FL 32611 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

    DNDC model; Crop yield; Soil temperature; Moisture; Nitrous oxide emissions; Climate change;

    机译:DNDC模型;作物产量;土壤温度;水分;氧化亚氮排放;气候变化;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号