Basal crop coefficients for early-season peach trees

Abrisqueta, Isabel; Abrisqueta, J. M.; Tapia, L.M.; Munguia, Juan; Conejero, Wenceslao; Vera, Juan; Ruiz-Sánchez, M.C.

doi:10.1016/j.agwat.2013.02.001

Cited by 56 publications

(33 citation statements)

References 17 publications

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“…Our study results are consistent with previous studies that show that the growing stage is a key factor for estimating K c in agricultural crops (Allen et al, 1998;Zhang et al, 2013;Alberto et al, 2014;Wei et al, 2015), fruit trees (Abrisqueta et al, 2013;Marsal et al, 2014b), salt grass (Bawazir et al, 2014), and Populus euphratica Oliv. forest (Hou et al, 2010).…”

Section: Modeling the Dynamics Of K Csupporting

confidence: 93%

Environmental controls on seasonal ecosystem evapotranspiration/potential evapotranspiration ratio as determined by the global eddy flux measurements

Liu

Sun

McNulty

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The evapotranspiration / potential evapotranspiration (AET / PET) ratio is traditionally termed as the crop coefficient (K c ) and has been generally used as ecosystem evaporative stress index. In the current hydrology literature, K c has been widely used as a parameter to estimate crop water demand by water managers but has not been well examined for other types of ecosystems such as forests and other perennial vegetation. Understanding the seasonal dynamics of this variable for all ecosystems is important for projecting the ecohydrological responses to climate change and accurately quantifying water use at watershed to global scales. This study aimed at deriving monthly K c for multiple vegetation cover types and understanding its environmental controls by analyzing the accumulated global eddy flux (FLUXNET) data. We examined monthly K c data for seven vegetation covers, including open shrubland (OS), cropland (CRO), grassland (GRA), deciduous broad leaf forest (DBF), evergreen needle leaf forest (ENF), evergreen broad leaf forest (EBF), and mixed forest (MF), across 81 sites. We found that, except for evergreen forests (EBF and ENF), K c values had large seasonal variation across all land covers. The spatial variability of K c was well explained by latitude, suggesting site factors are a major control on K c . Seasonally, K c increased significantly with precipitation in the summer months, except in EBF. Moreover, leaf area index (LAI) significantly influenced monthly K c in all land covers, except in EBF. During the peak growing season, forests had the highest K c values, while croplands (CRO) had the lowest. We developed a series of multivariate linear monthly regression models for K c by land cover type and season using LAI, site latitude, and monthly precipitation as independent variables. The K c models are useful for understanding water stress in different ecosystems under climate change and variability as well as for estimating seasonal ET for large areas with mixed land covers.

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Section: Modeling the Dynamics Of K Csupporting

confidence: 93%

Environmental controls on seasonal ecosystem evapotranspiration/potential evapotranspiration ratio as determined by the global eddy flux measurements

Liu

Sun

McNulty

et al. 2017

Hydrol. Earth Syst. Sci.

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“…Regarding the peach orchard, K cb values ranged from 0.45 (at the initial stage) to 0.85 (at the mid-season). The values at the initial stage were considerably higher than those proposed by other authors [56,57], whereas estimated K cb values for mid stage were intermediate when compared with those previously reported [56,57]. This highlights the importance of the K cb database used as input, which can clearly affect the model efficiency in estimating the actual ET c .…”

Section: Discussioncontrasting

confidence: 57%

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Ramírez-Cuesta

Mirás-Avalos

Rubio-Asensio

et al. 2018

Water

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Advances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model was developed using Python as a programming language and integrated into an ArcGIS (geographic information system) toolbox. Inputs consist of images from satellites Landsat 7 and 8, and Sentinel 2A, along with data for defining crop, weather, soil type, and irrigation system. The tool produces a spatial distribution map of the crop evapotranspiration estimates, assuming no water stress, which allows quantifying the water demand and its variability within an agricultural field with a spatial resolution of either 10 m (for Sentinel) or 30 m (for Landsat). The model was validated by comparing the estimated basal crop coefficients (Kcb) of lettuce and peach during an irrigation season with those tabulated as a reference for these crops. Good agreements between Kcb derived from both methods were obtained with a root mean squared error ranging from 0.01 to 0.02 for both crops, although certain underestimations were observed resulting from the uneven crop development in the field (percent bias of −4.74% and −1.80% for lettuce and peach, respectively). The developed tool can be incorporated into commercial decision support systems for irrigation scheduling and other applications that account for the water balance in agro-ecosystems. This tool is freely available upon request to the corresponding author.

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“…The experiment was performed in one-year-old laurustinus (Viburnum tinus L.) The soil, classified as Lithic xeric haploxeroll, is stony (33 %, w/w) and shallow, with a clay-loam texture (Abrisqueta et al, 2013). Analytical data showed a high lime content, low organic matter content and low cationic exchange capacity.…”

Section: Plant Materials and Experimental Conditionsmentioning

confidence: 99%

Influence of arbuscular mycorrhizal fungi and treated wastewater on water relations and leaf structure alterations of Viburnum tinus L. plants during both saline and recovery periods

Gómez-Bellot

Tortosa

Ortuño

et al. 2015

Journal of Plant Physiology

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Basal crop coefficients for early-season peach trees

Cited by 56 publications

References 17 publications

Environmental controls on seasonal ecosystem evapotranspiration/potential evapotranspiration ratio as determined by the global eddy flux measurements

Environmental controls on seasonal ecosystem evapotranspiration/potential evapotranspiration ratio as determined by the global eddy flux measurements

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Influence of arbuscular mycorrhizal fungi and treated wastewater on water relations and leaf structure alterations of Viburnum tinus L. plants during both saline and recovery periods

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