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A dynamical systems framework for crop models: Toward optimal fertilization and irrigation strategies under climatic variability

机译:作物模型的动态系统框架:气候变异性下的最佳施肥和灌溉策略

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Highlights?Crop models are not typically examined in a dynamical systems framework.?A simple crop model to explore this framework is proposed.?Results highlight the importance of resource limitation thresholds for optimality.?Optimal strategies must also be robust to random hydroclimatic forcing.AbstractCrop models are widely used for the modeling and prediction of crop yields, as decision support tools, and to develop research questions. Though typically constructed as a set of dynamical equations, crop models are not often analyzed from a specifically dynamical systems point of view, despite its potential to elucidate the roles of feedbacks and internal and external forcings on system stability and the optimization of control protocols (e.g., irrigation and fertilization). Here we develop a minimal dynamical system, based in part on the widely known AquaCrop model, consisting of a set of ordinary d
机译:<![cdata [ 突出显示 通常在动态系统框架中通常检查裁剪模型。 提出了一个简单的庄稼模型来探索此框架。 结果突出了资源限制阈值对最优性的重要性。 < CE:PARA ID =“PAR0020”View =“全部”>最佳策略也必须是鲁棒的ydroclimatic迫使。 抽象 裁剪模型广泛用于作物产量的建模和预测,作为决策支持工具,并开发研究问题。虽然通常被构造为一组动态方程,但是通常不会从特异性动态系统的角度分析作物模型,尽管它可能阐明反馈和内部和外部强调对系统稳定性的角色以及控制协议的优化(例如, ,灌溉和施肥)。在这里,我们开发了一种最小的动态系统,部分地基于广泛的已知的Aquacrop模型,包括一套普通D.

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