Nitrogen fertilizer use and climate interactions: Implications for maize yields in Kansas

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-07-23 DOI:10.1016/j.agsy.2024.104079
Na Huang , Xiaomao Lin , Fei Lun , Ruiyun Zeng , Gretchen F. Sassenrath , Zhihua Pan
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Abstract

CONTEXT

While climate change threatens maize growth and production, appropriate N fertilizer use (N) can help mitigate this threat and stabilize or improve maize yields. Accurate application of N fertilizer is of increasing interest as an adaptation measure for climate change by reducing greenhouse gas emissions and increasing economic returns.

OBJECTIVE

The objectives of this study are to: 1) clarify how maize yields respond to N fertilizer use under changes in temperature and precipitation, and 2) explore the effects of various climate conditions on N fertilizer use efficiency.

METHODS

We used a long-term and county-level maize N fertilizer use and climate dataset from 1981 to 2019 in Kansas to determine the impact of N fertilizer use on maize yield. We developed a panel data model with fixed effects, incorporating explanatory variables, including the interaction of growing-degree-days (GDD) with N fertilizer use (GDDit*Nit), extreme-degree-days (EDD) with N fertilizer use (EDDit*Nit), and precipitation (Precip) with N fertilizer use (Precipit*Nit), along with a non-linear N-fertilizer use term. Then, the adaptive effects of N fertilizer use on climatic risks for maize were examined and the county-level results were aggregated into the nine crop reporting districts, as defined by the U.S. Department of Agriculture's National Agricultural Statistics Service.

RESULTS AND CONCLUSIONS

Our results show that: 1) an increase in N fertilizer use magnified the negative effects of higher EDD on maize yield but enhanced the positive effects of higher GDD and precipitation on maize yield, impacts which were increasingly evident moving from western to eastern regions across Kansas; 2) hotter environments reduced maize yield by 7% in the west; conversely, warmer and wetter environmental conditions contributed to 2.4% yield gains in the southeast; changes in N fertilizer use impacted maize yield to a lesser extent than climate changes; and 3) under the averaged climate conditions, the optimal N fertilizer rate increased from northwestern (average 50 kg N ha−1) to eastern (average 158 kg N ha−1) regions in Kansas.

SIGNIFICANCE

Our results reveal the interaction between climate and N fertilization on maize yield and clarify how the efficiency of N fertilizer use is affected by various climatic conditions. Our findings highlight the quantifiable interactions between climate and N fertilizer use when evaluating dynamic N fertilizer applications and climate change adaptations.

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氮肥使用与气候的相互作用:对堪萨斯州玉米产量的影响
背景虽然气候变化威胁着玉米的生长和产量,但适当施用氮肥有助于减轻这种威胁,稳定或提高玉米产量。通过减少温室气体排放和增加经济收益,准确施用氮肥作为适应气候变化的措施越来越受到关注:1)阐明在温度和降水量变化的情况下,玉米产量如何对氮肥使用量做出反应;2)探索各种气候条件对氮肥使用效率的影响。方法我们使用了堪萨斯州 1981 年至 2019 年的长期县级玉米氮肥使用量和气候数据集,以确定氮肥使用量对玉米产量的影响。我们建立了一个具有固定效应的面板数据模型,其中纳入了解释变量,包括生长度日(GDD)与氮肥使用量的交互作用(GDDit*Nit)、极端气温日(EDD)与氮肥使用量的交互作用(EDDit*Nit)、降水量(Precip)与氮肥使用量的交互作用(Precipit*Nit),以及非线性氮肥使用量项。然后,研究了氮肥使用对玉米气候风险的适应性影响,并将县级结果汇总到美国农业部国家农业统计局定义的九个作物报告区:1)氮肥用量的增加放大了 EDD 升高对玉米产量的负面影响,但增强了 GDD 升高和降水对玉米产量的正面影响,这种影响在堪萨斯州从西部到东部地区越来越明显;2)较热的环境使西部地区的玉米产量减少了 7%;相反,较暖较湿的环境条件使东南部地区的玉米产量增加了 2.我们的研究结果揭示了气候和氮肥施用对玉米产量的相互作用,并阐明了氮肥使用效率如何受到各种气候条件的影响。我们的研究结果强调了在评估动态氮肥施用和气候变化适应性时,气候与氮肥使用之间可量化的相互作用。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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