Canopy temperature versus soil water pressure head for the prediction of crop water stress

Canopy temperature versus soil water pressure head for the prediction of crop water stress
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DOI:
10.1016/j.agwat.2013.05.014
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发表时间:
2013-09-01
影响因子:
6.7
通讯作者:
van Lier, Quirijn de Jong
van Lier, Quirijn de Jong
中科院分区:
农林科学1区
文献类型:
--
作者:
Durigon, Angelica;van Lier, Quirijn de Jong

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植物水分胁迫与地表和地表下的参数有关,地表参数通常更容易测量。利用地表参数,如冠层温度来识别植物水分胁迫的模型,通常使用作物水分胁迫指数(CWSI)。或者,Feddes在20世纪70年代提出的蒸腾减少函数(FRF)的常规使用要求更难测量地表以下的参数,如土壤水头。为了评估这些模型之间的一致性,我们利用巴西种植的普通菜豆在充分灌溉和非充分灌溉条件下对CWSI和FRF预测的植物水分胁迫进行了实验比较,并评估了模型对水分胁迫基线和极限土壤水头等关键参数的敏感性。当将CWSI与Feddes模型预测的相对蒸腾量Tr联系起来时,简单的方程1-CWSI=Tr提供了很好的拟合。我们表明,在CWSI中结合的地面测量在预测植物水分胁迫方面与土壤因素(如土壤水压力水头)一样有效。模型对关键参数的变化表现出很高的敏感性,这意味着显著的差异将导致识别植物水分胁迫的开始;在干旱条件下,CWSI的敏感性最高。(C)2013爱思唯尔B.V.保留所有权利。
Plant water stress is linked to both above- and below-surface parameters; with above-surface parameters being generally easier to measure. Models utilizing above-surface parameters, such as canopy temperature to identify plant water stress, frequently employ the crop water stress index (CWSI). Alternatively, the regular usage of the transpiration reduction function (FRF), as proposed by Feddes in the 1970s, requires more difficult to measure below-surface parameters such as soil water pressure head. In order to assess the agreement between these models, we experimentally compared plant water stress predicted by the CWSI and FRF using Common Bean grown in Brazil under full and deficit irrigation; the sensitivity of the models to the key parameters, water stressed baseline and limiting soil water pressure head, was also evaluated. The simple equation 1 - CWSI = Tr provided a good fit when relating CWSI to the relative transpiration Tr as predicted by the Feddes model. We show that above ground measurements that are combined within the CWSI are just as effective at predicting plant water stress as soil-based factors like soil water pressure head. The models show high sensitivity to variations in key parameters, implying significant differences will result in the identification of the onset of plant water stress; with sensitivity highest for the CWSI under dry conditions. (c) 2013 Elsevier B.V. All rights reserved.