de la Fuente-Saiz Daniel, Ortega-Farias Samuel, Carrasco-Benavides Marcos, Ortega-Salazar Samuel, Tian Fei, Wang Sufen, Liu Yi
Research and Extension Center for Irrigation and Agroclimatology (CITRA) and Research Program on Adaptation of Agriculture to Climate Change (PIEI A2C2), Universidad de Talca, Campus Lircay, Chile.
Department of Agricultural Sciences, Universidad Católica del Maule, Curicó, Chile.
Heliyon. 2024 Apr 16;10(9):e29688. doi: 10.1016/j.heliyon.2024.e29688. eCollection 2024 May 15.
Accurate assessment of evapotranspiration (ETa) and crop coefficient (Kc) is crucial for optimizing irrigation practices in water-scarce regions. While satellite-based surface energy balance models offer a promising solution, their application to sparse canopies like apple orchards requires specific validation. This study investigated the spatial and temporal dynamics of ETa and Kc in a drip-irrigated 'Pink Lady' apple orchard under Mediterranean conditions over three growing seasons (2012/13, 2013/14, 2014/15). The METRIC model, incorporating calibrated sub-models for leaf area index (LAI), surface roughness (Z), and soil heat flux (G), was employed to estimate ETa and Kc. These estimates were validated against field-scale Eddy Covariance data. Results indicated that METRIC overpredicted Kc and ETa with errors less than 10 %. These findings highlight the potential of the calibrated METRIC model as a valuable decision-making tool for irrigation management in apple orchards.
准确评估蒸散量（ETa）和作物系数（Kc）对于优化水资源匮乏地区的灌溉实践至关重要。虽然基于卫星的地表能量平衡模型提供了一个有前景的解决方案，但其在像苹果园这样的稀疏冠层中的应用需要特定的验证。本研究调查了地中海条件下一个滴灌“粉红女士”苹果园在三个生长季（2012/13、2013/14、2014/15）期间ETa和Kc的时空动态。采用包含叶面积指数（LAI）、地表粗糙度（Z）和土壤热通量（G）校准子模型的METRIC模型来估算ETa和Kc。这些估算值与田间尺度的涡度协方差数据进行了验证。结果表明，METRIC对Kc和ETa的预测存在高估，误差小于10%。这些发现凸显了校准后的METRIC模型作为苹果园灌溉管理有价值决策工具的潜力。
