Spatial and diurnal below canopy evaporation in a desert vineyard: Measurements and modeling

Kool, Dilia; Ben‐Gal, Alon; Agam, Nurit; Šimůnek, Jirka; Heitman, Joshua L.; Sauer, T. J.; Lazarovitch, Naftali

doi:10.1002/2014wr015409

Cited by 40 publications

(33 citation statements)

References 89 publications

(83 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model has been previously used to study ET components, for example, for almond (Phogat et al, 2012(Phogat et al, , 2013, maize (Ramos et al, 2012), citrus (Phogat et al, 2014), and other crops (Mei-Xian et al, 2013;González et al, 2015). Recently, Kool et al (2014a) has successfully used this model for the estimation of evaporation losses from a commercial vineyard in combination with short term above canopy measurements of climatic parameters.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip

Phogat

Skewes

McCarthy

et al. 2017

Agricultural Water Management

Self Cite

View full text Add to dashboard Cite

a b s t r a c tAccurate estimation of evapotranspiration (ET) and its partitioning into transpiration and evaporation is fundamental for improving water management practices in water-limited environments and under deficit irrigation conditions. This investigation was conducted to estimate the water balance and ET components of subsurface drip (SDI) irrigated Chardonnay wine grapes for two seasons (2010-2011 and 2011-2012) using a numerical model (HYDRUS-2D). Treatments involved the application of different volumes [51% (I 1 ), 64% (I 2 ), 77% (I 3 ), and 92% (I 4 ) of normal application] of water for irrigation. A modified version of the FAO-56 dual crop coefficient approach was used to generate daily transpiration and evaporation as inputs to the HYDRUS-2D model. The calibrated and validated model produced estimates of actual evapotranspiration (ET Cact ), actual transpiration (T pact ), and actual evaporation (E sact ), and deep percolation under varied irrigation applications. The model-simulated values were then used to estimate actual crop coefficients (K cact and K cbact ), and water productivity of wine grape under different deficit irrigation conditions. Seasonal ET Cact simulated by HYDRUS-2D for different treatments varied between 239 and 382 mm. However, seasonal evaporation accounted for 44-59% of seasonal ET Cact losses in different treatments. The modelled daily transpiration rate in I 4 treatment (T p4act ) varied from 0.11-2.74 mm/day. Deep percolation accounted for 35-40% of the total water applied by rainfall and irrigation. The mean value of actual crop coefficient (K cact ) estimated by HYDRUS-2D simulated ET C act over the two seasons was 0.27, which matched with other investigations. Similarly, values of K cbact for initial, mid and end stages were 0.13, 0.27 and 0.14, respectively. Monthly values of evaporation coefficient (K e ) ranged from 0.1 to 0.32, with a mean value of 0.18. Water productivity with respect to ET losses (WPET C ) ranged from 5.9 to 6.2 kg/m 3 of water use. However, water productivity for transpiration (WPT C ) almost doubled as compared to WPET C in all treatments. The impact of deficit irrigation on berry juice composition (Brix, pH and titratable acidity) was lower than the inter-seasonal variability. These results can help develop better irrigation management strategies for SDI irrigated wine grapes under water scarce conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip

Phogat

Skewes

McCarthy

et al. 2017

Agricultural Water Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recently, Kool et al . () analysed the variability of E a in a soil vineyard using HYDRUS (2D/3D) (Šimůnek et al ., ). They found that the main sources of E a variability were the soil water content and diurnal patterns which depended strongly on canopy shading.…”

Section: Resultsmentioning

confidence: 94%

Numerical Simulation of Soil Water Dynamics Under Stationary Sprinkler Irrigation With Mohid‐Land

Simionesei¹,

Ramos²,

Brito³

et al. 2016

Irrigation and Drainage

View full text Add to dashboard Cite

Water distribution in sprinkler irrigation systems remains one of the most challenging problems in irrigation water management. Due to lack of water distribution uniformity, parts of a field may be over‐irrigated while others may be under‐irrigated, thus affecting root water and nutrient uptake and crop yield. The objective of this paper was to show the capabilities of the MOHID‐Land model in simulating soil water dynamics and maize growth under a stationary sprinkler irrigation system with low water distribution uniformity (56%). A 3D simulation domain (28 × 26 × 1 m) was defined to consider different water application rates at the soil surface and the variability of the soil hydraulic properties (two soil types). The model was able to take into account the effect of water distribution and soil variability on soil water content and fluxes, root water uptake reductions due to water stress, soil evaporation, leaf area index and total dry biomass. The resulting soil water balance revealed that irrigation inputs were lower (329 mm) than those theoretically defined to fulfil crop water requirements when the variable‐rate application of water was not considered (540 mm). Consequently, the range of variation of soil water stress in the simulation domain was relatively large (between 1 and 64%). MOHID‐Land has thus the potential of becoming an important tool for precision irrigation by focusing on site‐specific irrigation and crop management rather than the current field unit approach. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

“…The rationale for this method was to account for sunlit and shaded soil in the crop interrow, which may comprise substantial positional variation of energy balance terms (e.g., Agam et al, 2012b;Kool et al, 2014b). Because calculation of R N,S includes view factors, it was straightforward to partition the soil surface into its sunlit and shaded components and calculate sunlit and shaded G 0 accordingly.…”

Section: Description Of the Tseb Modelmentioning

confidence: 99%

Advances in a Two-Source Energy Balance Model: Partitioning of Evaporation and Transpiration for Cotton

2016

Trans.ASABE

View full text Add to dashboard Cite

ABSTRACT. Accurate partitioning of the evaporation (E) and transpiration (T) components of evapotranspiration (ET) invaporation (E) and transpiration (T) are important pathways of water flux away from irrigated crop surfaces. In cropping systems, biomass production and economic yield are closely related to T from the plant canopy, whereas E flux is from the soil beneath the crop or from the canopy surface following rain or irrigation, which do not directly contribute to yield production. Therefore, increases in crop water productivity usually seek to minimize E relative to ET, so that the T/ET ratio is maximized (Doorenbos and Kassam, 1979). Because E and T are difficult to measure separately, they are often composited as evapotranspiration (ET). The relative contributions of E and T to ET are nonetheless important to understanding water flux processes of vegetation, particularly crops, where water is a primary constraint to production (Newman et al., 2006;Kool et al., 2014a;Schlesinger and Jasechko, 2014). As freshwater resources continue to become relatively scarce for agricultural production, along with the uncertainty imposed by climate change, there is increasing interest in E and T partitioning in order to find ways to enhance crop water productivity. Consequently, numerous crop, energy balance, and mass balance models of varying complexity have been developed that address this objective (Evett and Tolk, 2009). Of these, energy balance approaches designed to use remote sensing (RS) data in reflectance and thermal bands have received significant attention because RS can capture the spatial variation of vegetation characteristics more efficiently than approaches limited to micrometeorological or in situ measurements alone, and RS approaches are relatively practical to implement (Gowda et al., 2008;Kustas and Anderson, 2009;French et al., 2015).One thermal-based energy balance RS approach that calculates E and T explicitly is a two-source energy balance model that was initially developed by

show abstract

Spatial and diurnal below canopy evaporation in a desert vineyard: Measurements and modeling

Cited by 40 publications

References 89 publications

Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip

Evaluation of crop coefficients, water productivity, and water balance components for wine grapes irrigated at different deficit levels by a sub-surface drip

Numerical Simulation of Soil Water Dynamics Under Stationary Sprinkler Irrigation With Mohid‐Land

Advances in a Two-Source Energy Balance Model: Partitioning of Evaporation and Transpiration for Cotton

Contact Info

Product

Resources

About