Evapotranspiration adjustment for irrigated maize–soybean rotation systems in Nebraska, USA

IF 3 3区 地球科学 Q2 BIOPHYSICS International Journal of Biometeorology Pub Date : 2023-09-06 DOI:10.1007/s00484-023-02547-8
Ivo Z. Gonçalves, Christopher M. U. Neale, Andy Suyker, Fábio R. Marin
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Abstract

Irrigation water requirements are commonly estimated based on the estimated crop evapotranspiration (ETc) as determined by the reference evapotranspiration (ETr) and crop coefficient (Kc). Recent studies show that, at high evaporative demand (high ETr), Kc tends to decrease, creating an inverse ETr-Kc relationship. The focus of this long-term study is to, if at high atmosphere demand, there is the same inverse ETr-Kc relationship in Nebraska, USA, one of the most intensely irrigated regions in the world, and as a result, propose an adjustment to the Kc–ETr approach. The study was carried out in eastern Nebraska for maize-soybean rotation fields for the period 2002–2012. The Kc was estimated based on energy balance data from eddy covariance flux towers installed in the field and a nearby automated weather station throughout the growing seasons. We found that average Kc values varied depending on the year under high ETr; measured ETc agreed reasonably well with the FAO-56 manual predicted values, but in years with high ETr such as 2012 and 2002 affecting ETc values over the growing season. It was observed that Kc decreased as ETr increased, mainly when ETr reaches values greater than 6 mm d−1 (P values < 0.001). This most likely was due to internal plant stomatal resistance to vapor release from the leaves diffusing to the atmosphere at high atmospheric demands. So, the time-based Kc curves described by FAO 56 manual should be adjusted for the analyzed crops considering different ranges of ETr to improve the required irrigation depth and irrigation management.

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美国内布拉斯加州玉米-大豆灌溉轮作系统的蒸散量调整。
灌溉需水量通常根据参考蒸散量(ETr)和作物系数(Kc)确定的估计作物蒸散量(ETc)进行估计。最近的研究表明,在高蒸发需求(高ETr)下,Kc往往会降低,从而产生相反的ETr-Kc关系。这项长期研究的重点是,如果在高大气需求下,美国内布拉斯加州(世界上灌溉最密集的地区之一)也存在同样的ETr-Kc反比关系,因此,建议对Kc-ETr方法进行调整。这项研究是在内布拉斯加州东部对2002-2012年期间的玉米-大豆轮作田进行的。Kc是根据安装在田地里的涡流协方差通量塔和附近的自动气象站在整个生长季节的能量平衡数据估计的。我们发现,在高ETr下,平均Kc值随年份而变化;测得的ETc与FAO-56手动预测值相当吻合,但在ETr较高的年份,如2012年和2002年,会影响生长季节的ETc值。观察到Kc随着ETr的增加而降低,主要是当ETr达到大于6mm d-1的值时(P值
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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