Comparison of the transpiration part of two sources evapotranspiration model and the measurements of sap flow in the estimation of the transpiration of sweet cherry orchards

Juhász, Ágota; Hrotkó, K.

doi:10.1016/j.agwat.2014.06.014

Cited by 15 publications

(12 citation statements)

References 42 publications

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“…Rajan et al (2010) calculated the surface resistance using soil and canopy resistances by introducing a ground cover parameter. Li et al (2015) proposed a coupled surface resistance model by combining the Jarvis canopy resistance model and the soil resistance model; Juhász and Hrotkó (2014) also proposed a similar model. However, these models focused on field and could give rise to considerable errors when applied to greenhouses.…”

Section: Introductionmentioning

confidence: 99%

A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse

et al. 2017

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Greenhousing is a technique to bridge season gap in vegetable production and has been widely used worldwide. Calculation of water requirement of crops grown in greenhouse and determination of their irrigation schedules in arid and semi-arid regions are essential for greenhouse maintenance and have thus attracted increased attention over the past decades. The most common method used in the literature to estimate crop evapotranspiration (ET) is the Penman-Monteith (PM) formula. When applied to greenhouse, however, it often uses canopy resistance instead of surface resistance. It is understood that the surface resistance in greenhouse is the result of a combined effect of canopy restriction and soil-surface restriction to water vapor flow, and the relative dominance of one restriction over another depends on crop canopy. In this paper, we developed a surface resistance model in a way similar to two parallel resistances in an electrical circuit to account for both restrictions. Also, considering that wind speed in greenhouse is normally rather small, we compared three methods available in the literature to calculate the aerodynamic resistance, which are the r a1 method proposed by Perrier (1975a, b), the r a2 method proposed by Thom and Oliver (1977), and the r a3 method proposed by Zhang and Lemeu (1992). We validated the model against ET of tomatoes in a greenhouse measured from sap flow system combined with micro-lysimeter in 2015 and with weighing lysimeter in 2016. The results showed that the proposed surface resistance model improved the accuracy of the PM model, especially when the leaf area index was low and the greenhouse was being irrigated. We also found that the aerodynamic resistance calculated from the r a1 and r a3 methods is applicable to the greenhouse although the latter is slightly more accurate than the former. The proposed surface resistance model, together with the r a3 method for aerodynamic resistance, offers an improved approach to estimate ET in greenhouse using the PM formula.

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Section: Introductionmentioning

confidence: 99%

A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse

et al. 2017

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“…The value of stomatal resistance (r sT ) needs to be measured accurately when calculating canopy resistance (r s c ). Several studies have shown that the change in the r sT was mainly affected by solar radiation (R s ) (Qiu et al, 2013;Zhao et al, 2015;Juhász and Hrotkó, 2014). Figure 3 1.…”

Section: Resultsmentioning

confidence: 98%

“…To solve the problem of estimating soil evaporation and plant transpiration under sparse vegetation conditions, the dual source model was constructed by Shuttleworth and Wallace (1985) by referring to the single-source PM model theory. The Shuttleworth-Wallace model (SW) cannot only estimate the total amount of ET c better, but can also distinguish between different processes of soil evaporation and plant transpiration (Juhász and Hrotkó, 2014). Previous studies have described the results of the SW model applied to vineyards (Zhao et al, 2015), orchards (Liu et al, 2013a), row-crops (Gardiol et al, 2003), and clumping crops (Yang and Song, 2012).…”

Section: Abstract Weighing Lysimeter Drip Irrigationmentioning

confidence: 99%

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Evaluation of the dual source model to simulate transpiration and evaporation of tomato plants cultivated in a solar greenhouse

Gong¹,

Ge²,

Li³

et al. 2020

Europ.J.Hortic.Sci

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“…Wang et al [74] reported evapotranspiration, canopy interception, and transpiration were all significantly positively correlated with the canopy LAI of the plantation, while soil evaporation was significantly negatively correlated with canopy LAI. Juhász and Hrotkó [75] reported that canopy transpiration was positively correlated with LAI of sweet cherry in Hungarian. Benyon et al [76] found that there was a positive correlation between annual transpiration and LAI of Radiata Pine and Eucalyptus globulus in south-eastern Australia.…”

Section: Leaf Area Index and Evapotranspiration Relationshipmentioning

confidence: 99%

Relationships between Leaf Area Index and Evapotranspiration and Crop Coefficient of Hilly Apple Orchard in the Loess Plateau

Jia

Wang

2021

Water

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Drought and water shortage are the key factors that restrict the sustainable development of the apple industry in the Chinese Loess Plateau. The accurate prediction of ET can provide a scientific basis for water management of apple orchards. A study on the relationship between LAI, ET and crop coefficient Kc under water deficit is particularly necessary for the accurate prediction of ET in apple orchards. In this work, the crop coefficient Kc under water deficit was defined as the product of the crop coefficient KcI under no water stress and the water stress coefficient Ks, namely Kc = KcI × Ks. LAI and ET of the hilly apple orchard were measured from April to September in 2019 and 2020. The results showed: (1) The LAI of the apple orchard showed a trend of rapid increase—moderate increase—declined during the growth period, with 0.26–2.16 [m2 m−2] variation range; (2) The ET of the orchard was greater than the rainfall, the maximum ET was in July or August. The maximum components of ET in the apple orchard was E, with 47.8–49.1% of ET; T accounted for 42.5–43.9% of ET; Ic accounted for only 9.1–9.6% of ET; (3) There was a significant exponential relationship between the LAI and T or ET. The crop coefficient KcI under no water stress changed with the development of the apple tree canopy. The variation of water stress Ks was basically consistent with the variation of rainfall; (4) There is a significant exponential relationship between LAI and crop coefficient Kc under water deficit (Kc = 0.1141e1.0665LAI, R2 = 0.7055, p < 0.01). This study demonstrates that LAI could be used to estimate the crop coefficient Kc of apple orchards under water deficit in the Loess Plateau, and the actual evapotranspiration of apple orchards in this region could be predicted.

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Comparison of the transpiration part of two sources evapotranspiration model and the measurements of sap flow in the estimation of the transpiration of sweet cherry orchards

Cited by 15 publications

References 42 publications

A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse

A proposed surface resistance model for the Penman-Monteith formula to estimate evapotranspiration in a solar greenhouse

Evaluation of the dual source model to simulate transpiration and evaporation of tomato plants cultivated in a solar greenhouse

Relationships between Leaf Area Index and Evapotranspiration and Crop Coefficient of Hilly Apple Orchard in the Loess Plateau

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