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Predicting soil moisture conditions for arable free draining soils in Ireland under spring cereal crop production

机译:预测春季谷物作物生产下爱尔兰可耕种自然排水土壤的土壤水分条件

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摘要

Temporal prediction of soil moisture and evapotranspiration has a crucial role inagricultural and environmental management. A lack of Irish models for predictingevapotranspiration and soil moisture conditions for arable soils still representsa knowledge gap in this particular area of Irish agro-climatic modelling. The soilmoisture deficit (SMD) crop model presented in this paper is based on the SMDhybrid model for Irish grassland (Schulte et al., 2005). Crop and site specific components(free-draining soil) have been integrated in the new model, which was calibrated and tested using soil tension measurements from two experimental sites located on a well-drained soil under spring barley cultivation in south-eastern Ireland. Calibration of the model gave an R2 of 0.71 for the relationship between predicted SMD and measured soil tension, while model testing yielded R2 values of 0.67 and 0.65 (two sites). The crop model presented here is designed to predict soil moisture conditions and effective drainage (i.e., leaching events). The model provided reasonable predictions of soil moisture conditions and effective drainage within its boundaries, i.e., free-draining land used for spring cereal production under Irish conditions. In general, the model is simple and practical due to the small number of required input parameters, and due to model outputs that have good practical applicability, such as for computing the cumulative amount of watersolublenutrients leached from arable land under spring cereals in free-drainingsoils.
机译:土壤水分和蒸散量的时间预测在农业和环境管理中具有至关重要的作用。在爱尔兰农业气候模拟的这一特定领域中,缺乏爱尔兰模型来预测可耕土壤的蒸散量和土壤水分状况仍然代表着知识差距。本文提出的土壤水分亏缺(SMD)作物模型基于爱尔兰草原的SMDhybrid模型(Schulte等,2005)。作物和特定地点的成分(自由排水的土壤)已整合到新模型中,该模型使用位于东南爱尔兰春季大麦栽培下排水良好土壤上的两个实验地点的土壤张力测量值进行了校准和测试。模型的校准得出预测的SMD与测得的土壤张力之间的关系的R2为0.71,而模型测试得出的R2值为0.67和0.65(两个位置)。这里介绍的作物模型旨在预测土壤水分状况和有效排水(即淋溶事件)。该模型提供了土壤水分状况和边界内有效排水的合理预测,即爱尔兰条件下用于春季谷物生产的自由排水土地。通常,该模型简单而实用,因为所需的输入参数数量少,并且模型输出具有良好的实际适用性,例如用于计算自由排水土壤中春季谷物下从耕地中浸出的水溶性养分的累积量。

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