A data synthesis and comparative review of rainfall partitioning: Drivers and management implications in fruit crops

Rainfall partitioning, the redistribution of gross rainfall into canopy interception (Ic), throughfall (TF), and stemflow (SF), is a critical ecohydrological indicator governing water acquisition, soil water availability, and yield in fruit crops. Although studies in various climates have quantified rainfall partitioning across different fruit crops, a concerted effort to quantitatively synthesize such data is still lacking. To address this gap, data from previously published studies on 13 fruit crop species across 13 experimental sites were compiled and analyzed to better understand how these indicators respond to environmental drivers, plant morphological attributes, and artificial management practices. A boosted regression tree (BRT) model was employed to quantify the relative importance of rainfall event characteristics and meteorological factors in driving Ic, TF, and SF. The results indicated that the mean per-event Ic, TF, and SF were 2.2 mm, 12.7 mm, and 0.6 mm, respectively, corresponding to average event-based partitioning ratios of 25.4%, 73.0%, and 4.3%. TF was the primary rainfall partitioning pathway, characterized by the strongest positive linear dependence on gross rainfall (R 2 = 0.96, p < 0.01) and minimal sensitivity to variations in leaf area index. The BRT model revealed that, among environmental drivers, rainfall amount and wind speed predominantly governed TF flux, Ic flux, and the Ic ratio, collectively accounting for 94.5%, 83.5%, and 92.6% of the relative importance, respectively. Notably, despite incorporating data from various fruit crops, these findings may be biased toward the data-dominant species (apple). Plant morphological attributes and management practices significantly altered these components: evergreen fruit crops exhibited a much higher mean Ic ratio (38.0%) than deciduous crops (20.6%) due to perennial leaf coverage. Tree-type crops showed distinctly lower TF and SF ratios compared to bush- or vine-type crops. In tree-type crops, increased planting density enhanced the Ic and SF ratios; conversely, bush- and vine-type crops were more susceptible to competition-driven inhibition at high densities, which weakened their canopy interception function. These findings provide a basis for the hypothesis that hydrological complementarity could be harnessed through layered mixed-cultivation systems combining evergreen and deciduous species. Because tree-type crops constitute a large proportion of fruit crops, optimizing their planting density is of vital importance. Future research could verify the practical effectiveness of two specific strategies: applying medium planting densities in high-rainfall areas to reduce evaporation losses, and adopting high planting densities in low-rainfall areas to enhance localized soil-water storage.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2026-09-12
DOI
https://doi.org/10.1016/j.ecolind.2026.115482
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A data synthesis and comparative review of rainfall partitioning: Drivers and management implications in fruit crops

Hanyu Zhang, Juan An, Qianjin Liu, Yuhao Yang et al.
Ecological Indicators
Irrigation Practices and Water Management
article

A data synthesis and comparative review of rainfall partitioning: Drivers and management implications in fruit crops

Hanyu Zhang, Juan An, Qianjin Liu, Yuhao Yang, Hao Liu, Rui Zhang
article en

Abstract

Rainfall partitioning, the redistribution of gross rainfall into canopy interception (Ic), throughfall (TF), and stemflow (SF), is a critical ecohydrological indicator governing water acquisition, soil water availability, and yield in fruit crops. Although studies in various climates have quantified rainfall partitioning across different fruit crops, a concerted effort to quantitatively synthesize such data is still lacking. To address this gap, data from previously published studies on 13 fruit crop species across 13 experimental sites were compiled and analyzed to better understand how these indicators respond to environmental drivers, plant morphological attributes, and artificial management practices. A boosted regression tree (BRT) model was employed to quantify the relative importance of rainfall event characteristics and meteorological factors in driving Ic, TF, and SF. The results indicated that the mean per-event Ic, TF, and SF were 2.2 mm, 12.7 mm, and 0.6 mm, respectively, corresponding to average event-based partitioning ratios of 25.4%, 73.0%, and 4.3%. TF was the primary rainfall partitioning pathway, characterized by the strongest positive linear dependence on gross rainfall (R 2 = 0.96, p < 0.01) and minimal sensitivity to variations in leaf area index. The BRT model revealed that, among environmental drivers, rainfall amount and wind speed predominantly governed TF flux, Ic flux, and the Ic ratio, collectively accounting for 94.5%, 83.5%, and 92.6% of the relative importance, respectively. Notably, despite incorporating data from various fruit crops, these findings may be biased toward the data-dominant species (apple). Plant morphological attributes and management practices significantly altered these components: evergreen fruit crops exhibited a much higher mean Ic ratio (38.0%) than deciduous crops (20.6%) due to perennial leaf coverage. Tree-type crops showed distinctly lower TF and SF ratios compared to bush- or vine-type crops. In tree-type crops, increased planting density enhanced the Ic and SF ratios; conversely, bush- and vine-type crops were more susceptible to competition-driven inhibition at high densities, which weakened their canopy interception function. These findings provide a basis for the hypothesis that hydrological complementarity could be harnessed through layered mixed-cultivation systems combining evergreen and deciduous species. Because tree-type crops constitute a large proportion of fruit crops, optimizing their planting density is of vital importance. Future research could verify the practical effectiveness of two specific strategies: applying medium planting densities in high-rainfall areas to reduce evaporation losses, and adopting high planting densities in low-rainfall areas to enhance localized soil-water storage.

Ecological IndicatorsVol. 191
Linyi University (CN), Xianyang Normal University (CN), Xian Yang Central Hospital (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 13%
Irrigation Practices and Water Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.