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. |
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| 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] |
| Copyright of Hydrological Sciences Journal/Journal des Sciences Hydrologiques is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189730320 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying the relative importance of factors influencing rainfall partitioning in a rainfed apple orchard. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Rui%22">Zhang, Rui</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Li%22">Wang, Li</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> wangli5208@nwsuaf.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Hao%22">Liu, Hao</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Hydrological+Sciences+Journal%2FJournal+des+Sciences+Hydrologiques%22">Hydrological Sciences Journal/Journal des Sciences Hydrologiques</searchLink>. Dec2025, Vol. 70 Issue 15, p2849-2863. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Throughfall%22">Throughfall</searchLink><br /><searchLink fieldCode="DE" term="%22Apple+orchards%22">Apple orchards</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink><br /><searchLink fieldCode="DE" term="%22Precipitation+probabilities%22">Precipitation probabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Rainfall+probabilities%22">Rainfall probabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Hydrological Sciences Journal/Journal des Sciences Hydrologiques is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02626667.2025.2568596 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 2849 Subjects: – SubjectFull: Throughfall Type: general – SubjectFull: Apple orchards Type: general – SubjectFull: Runoff Type: general – SubjectFull: Precipitation probabilities Type: general – SubjectFull: Rainfall probabilities Type: general – SubjectFull: Climatology Type: general Titles: – TitleFull: Quantifying the relative importance of factors influencing rainfall partitioning in a rainfed apple orchard. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Rui – PersonEntity: Name: NameFull: Wang, Li – PersonEntity: Name: NameFull: Liu, Hao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02626667 Numbering: – Type: volume Value: 70 – Type: issue Value: 15 Titles: – TitleFull: Hydrological Sciences Journal/Journal des Sciences Hydrologiques Type: main |
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