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A conceptual modelling framework for simulating the impact of soil degradation on maize yield in data-sparse regions of the tropics
Ecological Modelling ( IF 2.6 ) Pub Date : 2021-03-24 , DOI: 10.1016/j.ecolmodel.2021.109525
Samuel G.K. Adiku , Dilys S. MacCarthy , Samuel K. Kumahor

The harsh environmental conditions and poor management of agricultural fields in many parts of the tropics lead to rapid soil degradation and low crop yields, once native lands are converted to agriculture. The assessment and management of degraded fields is constrained by the low resource availability to support field data collection. Crop simulation models offer tools for assessing the degradation problem and support improved management decisions. Though a host of comprehensive crop models have been published, their wide-scale application in the tropics, especially as decision support tools continues to lag, largely due to the types and fine-scale data requirements for model execution, which are often lacking in the tropical regions. In this paper, we present a simple modelling framework that is capable of simulating the impact of soil degradation on maize yields using field-scale agriculture data. The major departure of this new modelling framework is the description of erosion in terms of soil depth loss instead of soil mass loss. The framework, which was developed from an assembly of relevant theory and equations in the published literature is designed to address the data paucity challenges often encountered in many tropical regions. The model was programmed in Excel and tested against published observed maize yields for situations where the maize was grown on simulated eroded soils of varying severity and nitrogen application rates. The model simulated well the decline in maize yields with increased erosion severity and varying nitrogen application rates (R2 = 0.79, nRMSE = 28% and Willmott d-index = 0.95). It is concluded that the model, though simple, provided a framework for assessing maize yield response to varied soil degradation conditions.



中文翻译:

在热带地区数据稀疏地区模拟土壤退化对玉米产量的影响的概念建模框架

热带地区许多地方的恶劣环境条件和农田管理不善,一旦将原地转化为农业,将导致土壤快速退化和农作物低产。退化字段的评估和管理受到资源不足以支持字段数据收集的约束。作物模拟模型提供了评估退化问题并支持改进的管理决策的工具。尽管已经发布了许多全面的作物模型,但它们在热带地区的广泛应用,尤其是决策支持工具持续落后,这在很大程度上是由于模型执行所需的类型和精细规模的数据需求,而这通常在模型中缺乏。热带地区。在本文中,我们提供了一个简单的建模框架,该框架能够使用田间规模的农业数据来模拟土壤退化对玉米产量的影响。这种新的建模框架的主要变化是根据土壤深度损失而不是土壤质量损失来描述侵蚀。该框架是根据已出版文献中相关理论和方程的组合开发的,旨在解决许多热带地区经常遇到的数据匮乏的挑战。该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 这种新的建模框架的主要变化是根据土壤深度损失而不是土壤质量损失来描述侵蚀。该框架是根据已出版文献中相关理论和方程的组合开发的,旨在解决许多热带地区经常遇到的数据匮乏的挑战。该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 这种新的建模框架的主要变化是根据土壤深度损失而不是土壤质量损失来描述侵蚀。该框架是根据已出版文献中相关理论和方程的组合开发的,旨在解决许多热带地区经常遇到的数据匮乏的挑战。该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 它是根据已出版文献中的相关理论和方程式集合开发的,旨在解决许多热带地区经常遇到的数据匮乏的挑战。该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 它是根据已出版文献中的相关理论和方程式集合开发的,旨在解决许多热带地区经常遇到的数据匮乏的挑战。该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R 该模型在Excel中进行了编程,并针对已发布的观察到的玉米单产进行了测试,以了解在不同严重程度和施氮量的模拟侵蚀土壤上种植玉米的情况。该模型很好地模拟了随着侵蚀严重程度的提高和氮肥施用量的变化,玉米单产下降的情况(R2  = 0.79,nRMSE = 28%,Willmott d = 0.95)。结论是,该模型虽然简单,但为评估玉米对各种土壤退化条件的响应提供了框架。

更新日期:2021-03-24
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