Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: a multi-model comparison
Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: a multi-model comparison
复制标题
DOI：
10.1016/j.fcr.2015.10.009
复制
发表时间：
2017-02
影响因子：
5.8
通讯作者：
H. Webber;P. Martre;S. Asseng;B. Kimball;J. White;M. Ottman;G. Wall;G. Sanctis;J. Doltra;R. Grant;B. Kassie;A. Maiorano;J. Olesen;D. Ripoche;E. Rezaei;M. Semenov;Pierre Stratonovitch;F. Ewert
中科院分区：
文献类型：
--
作者：
H. Webber;P. Martre;S. Asseng;B. Kimball;J. White;M. Ottman;G. Wall;G. Sanctis;J. Doltra;R. Grant;B. Kassie;A. Maiorano;J. Olesen;D. Ripoche;E. Rezaei;M. Semenov;Pierre Stratonovitch;F. Ewert
即使在开花前后和灌浆期间出现短暂的高温，也会严重降低谷物的产量。最近，生态生理学和作物模型已经开始代表这种现象。尽管有证据表明作物冠层温度（Tc）能更好地解释产量损失，但大多数模型在热胁迫响应中使用的是气温（Tair），基于气候因素和作物水分状况，Tc可能与Tair存在显著偏差。本研究的主要目的是评估模拟Tc是否提高了作物模型模拟灌溉条件下热胁迫对小麦影响的能力。九个基于过程的模型，每个模型使用三种广泛的方法（经验，EMP;假设中性大气稳定性的能量平衡，EBN;和校正大气稳定性条件的能量平衡，EBSC）之一来模拟Tc，在一系列温度条件下模拟谷物产量。这些模型在再现测量Tc的能力上差异很大，常用的EBN模型的表现比EMP或EBSC差得多。与仅使用Tair相比，使用Tc来考虑热应力效应确实在相对较小的程度上改善了模拟，但是另外使用Tcon各种其他过程的模型也没有更好的产量模拟。模型，模拟屈服以及在热应力下有不同的技巧，在模拟Tc。例如，EBN模型对Tc的模拟非常差，但在模拟谷物产量方面表现得非常好。这些结果强调了需要更系统地了解和模拟小麦中的热胁迫事件。
Even brief periods of high temperatures occurring around flowering and during grain filling can severely reduce grain yield in cereals. Recently, ecophysiological and crop models have begun to represent such phenomena. Most models use air temperature (Tair) in their heat stress responses despite evidence that crop canopy temperature (Tc) better explains grain yield losses.Tccan deviate significantly fromTairbased on climatic factors and the crop water status. The broad objective of this study was to evaluate whether simulation ofTcimproves the ability of crop models to simulate heat stress impacts on wheat under irrigated conditions. Nine process-based models, each using one of three broad approaches (empirical, EMP; energy balance assuming neutral atmospheric stability, EBN; and energy balance correcting for the atmospheric stability conditions, EBSC) to simulate Tc, simulated grain yield under a range of temperature conditions. The models varied widely in their ability to reproduce the measuredTcwith the commonly used EBN models performing much worse than either EMP or EBSC. Use ofTcto account for heat stress effects did improve simulations compared to using onlyTairto a relatively minor extent, but the models that additionally useTcon various other processes as well did not have better yield simulations. Models that simulated yield well under heat stress had varying skill in simulatingTc. For example, the EBN models had very poor simulations ofTcbut performed very well in simulating grain yield. These results highlight the need to more systematically understand and model heat stress events in wheat.