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Quantifying the relative importance of factors influencing rainfall partitioning in a rainfed apple orchard.

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Title: Quantifying the relative importance of factors influencing rainfall partitioning in a rainfed apple orchard.
Authors: Zhang, Rui1,2 (AUTHOR), Wang, Li3,4 (AUTHOR) wangli5208@nwsuaf.edu.cn, Liu, Hao5 (AUTHOR)
Source: Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Dec2025, Vol. 70 Issue 15, p2849-2863. 15p.
Subjects: Throughfall, Apple orchards, Runoff, Precipitation probabilities, Rainfall probabilities, Climatology
Abstract: Rainfall partitioning by canopies into canopy interception (Ic), throughfall (TF), and stemflow (SF) alters hydrological fluxes reaching the ground. Although biotic and abiotic factors significantly influence the fluxes, their contributions remain unclear due to complex interactions among collinear factors. A five-year study was conducted in a rain-fed apple orchard to quantify the contributions of factor groups and each factor to Ic, TF, and SF through variation partitioning and hierarchical partitioning. Results indicated that rainfall was redistributed 83.1% as TF, 15.5% as Ic, and 1.4% as SF. The rainfall event factors group contributed the most to explaining the variance in rainfall partitioning components. Rainfall amount was the primary driver, explaining 47.5% of TF, 41.9% of SF, and 29.6% of Ic, while rainfall duration had the greatest individual importance on Ic percentage (25.9%) and TF percentage (25.4%). High amount (>19.0 mm) and long duration (>10 h) events showed a higher TF%, enhancing water availability. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Rainfall partitioning by canopies into canopy interception (Ic), throughfall (TF), and stemflow (SF) alters hydrological fluxes reaching the ground. Although biotic and abiotic factors significantly influence the fluxes, their contributions remain unclear due to complex interactions among collinear factors. A five-year study was conducted in a rain-fed apple orchard to quantify the contributions of factor groups and each factor to Ic, TF, and SF through variation partitioning and hierarchical partitioning. Results indicated that rainfall was redistributed 83.1% as TF, 15.5% as Ic, and 1.4% as SF. The rainfall event factors group contributed the most to explaining the variance in rainfall partitioning components. Rainfall amount was the primary driver, explaining 47.5% of TF, 41.9% of SF, and 29.6% of Ic, while rainfall duration had the greatest individual importance on Ic percentage (25.9%) and TF percentage (25.4%). High amount (>19.0 mm) and long duration (>10 h) events showed a higher TF%, enhancing water availability. [ABSTRACT FROM AUTHOR]
ISSN:02626667
DOI:10.1080/02626667.2025.2568596