Elli Elvis F, Ciampitti Ignacio A, Castellano Michael J, Purcell Larry C, Naeve Seth, Grassini Patricio, La Menza Nicolas C, Moro Rosso Luiz, de Borja Reis André F, Kovács Péter, Archontoulis Sotirios V
Department of Agronomy, Iowa State University, Ames, IA, United States.
Department of Agronomy, Kansas State University, Manhattan, KS, United States.
Front Plant Sci. 2022 Apr 27;13:849896. doi: 10.3389/fpls.2022.849896. eCollection 2022.
Limited knowledge about how nitrogen (N) dynamics are affected by climate change, weather variability, and crop management is a major barrier to improving the productivity and environmental performance of soybean-based cropping systems. To fill this knowledge gap, we created a systems understanding of agroecosystem N dynamics and quantified the impact of controllable (management) and uncontrollable (weather, climate) factors on N fluxes and soybean yields. We performed a simulation experiment across 10 soybean production environments in the United States using the Agricultural Production Systems sIMulator (APSIM) model and future climate projections from five global circulation models. Climate change (2020-2080) increased N mineralization (24%) and NO emissions (19%) but decreased N fixation (32%), seed N (20%), and yields (19%). Soil and crop management practices altered N fluxes at a similar magnitude as climate change but in many different directions, revealing opportunities to improve soybean systems' performance. Among many practices explored, we identified two solutions with great potential: improved residue management (short-term) and water management (long-term). Inter-annual weather variability and management practices affected soybean yield less than N fluxes, which creates opportunities to manage N fluxes without compromising yields, especially in regions with adequate to excess soil moisture. This work provides actionable results (tradeoffs, synergies, directions) to inform decision-making for adapting crop management in a changing climate to improve soybean production systems.
对氮(N)动态如何受气候变化、天气变异性和作物管理影响的了解有限,是提高大豆种植系统生产力和环境绩效的主要障碍。为了填补这一知识空白,我们建立了对农业生态系统氮动态的系统理解,并量化了可控(管理)和不可控(天气、气候)因素对氮通量和大豆产量的影响。我们使用农业生产系统模拟器(APSIM)模型和五个全球环流模型的未来气候预测,在美国10个大豆生产环境中进行了模拟实验。气候变化(2020 - 2080年)增加了氮矿化(24%)和一氧化氮排放(19%),但减少了固氮(32%)、种子氮含量(20%)和产量(19%)。土壤和作物管理措施对氮通量的改变幅度与气候变化相似,但方向多样,这揭示了改善大豆系统性能的机会。在探索的众多措施中,我们确定了两个具有巨大潜力的解决方案:改进残茬管理(短期)和水分管理(长期)。年际天气变异性和管理措施对大豆产量的影响小于对氮通量的影响,这为在不影响产量的情况下管理氮通量创造了机会,特别是在土壤水分充足到过剩的地区。这项工作提供了可付诸行动的结果(权衡、协同效应、方向),为在气候变化背景下调整作物管理以改善大豆生产系统的决策提供依据。