Throughfall and its spatial heterogeneity in a black locust (Robinia pseudoacacia) plantation in the semi-arid loess region, China

Ding, Wenchuan; Wang, Fei; Han, Jianqiao; Ge, Wenyan; Cong, Chenyu; Deng, Liqiang

doi:10.1016/j.jhydrol.2021.126751

Cited by 13 publications

(16 citation statements)

References 66 publications

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“…This is attributed to the PT forests at the Ansai and Changwu sites having a higher tree density and larger basal area and LAI than those in Ma et al (2019), as T f decreases with increasing canopy structural characteristics, including tree density, basal area, and LAI (Beidokhti & Moore, 2021; Jeong et al, 2019; Ma et al, 2019; Niu et al, 2023; Wei et al, 2017). The T f values for RP at the Ansai and Changwu sites were similar to values for RP on the CLP reported by Ding et al (2021) (77.7% of P g ) and Ma et al (2020) (80.3% of P g ), but smaller than those reported by Wang et al (2013) (89.1% of P g ). As explained by Ma et al (2020), smaller basal area caused the larger T f in the study by Wang et al (2013).…”

Section: Discussionsupporting

confidence: 85%

“…Measured I c values for PT at the Ansai and Changwu sites (Table 3) were within the range reported for coniferous forests (21.0%-48.0% of P g ; Fan et al, 2014) and in studies carried out in China, that is, 23.9% of P g (Ma et al, 2020), 22.4% of P g (Jian et al, 2015), and 33.0% of P g (Wei et al, 2017). The I c values for RP at the Ansai and Changwu sites (Table 3) were consistent with studies on the I c for RP during the growing season (Ding et al, 2021;Jian et al, 2015;Ma et al, 2019;Sadeghi et al, 2016). The I c is affected by canopy storage capacity, wet canopy evaporation rate, and rainfall characteristics, and demonstrated relatively high variability for PT or RP between the two sites (Table 3).…”

Section: Sensitivity Analysissupporting

confidence: 88%

“…The S f for PT at both sites was in good agreement with the results reported by Ma et al (2020) (0.7% of P g ) and Li et al (2020) (0.5% of P g ) in PT and Silva and Rodríguez (2001) (0.6% of P g ) in pine. The S f for RP was slightly less than reported in previous studies with similar tree ages, that is, 1.3% of P g (Ma et al, 2020), 2.1% of P g (Ding et al, 2021), and 2.3% of P g (Wang et al, 2013). The differences between studies could be due to differences in canopy structure (basal area) and climate characteristics (

\overline{E}

\overline{R}

) (Crockford & Richardson, 2000; Ma et al, 2019; Magliano et al, 2019).…”

Section: Discussioncontrasting

confidence: 52%

“…tree ages, that is, 1.3% of P g (Ma et al, 2020), 2.1% of P g (Ding et al, 2021), and 2.3% of P g (Wang et al, 2013). The differences between studies could be due to differences in canopy structure (basal area) and climate characteristics (E, R) (Crockford & Richardson, 2000;Ma et al, 2019;Magliano et al, 2019).…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Comparisons of rainfall partitioning and canopy interception modelling in pure and mixed forests on the Chinese Loess Plateau

Wu,

Zhu,

Zhang

et al. 2024

Hydrological Processes

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Rainfall partitioning is a key process in forest ecosystems that affects the forest hydrological cycle and ecological services. However, little is known about the rainfall partitioning in Pinus tabuliformis (PT), Robinia pseudoacacia (RP), and Pinus tabuliformis×Robinia pseudoacacia (PT × RP) forests, which are widely distributed on the Chinese Loess Plateau (CLP) for controlling soil and water losses. The objectives of this study were to compare the rainfall partitioning and conduct interception modelling in PT, RP, and PT × RP forests, using data from the Ansai and Changwu sites on the CLP. The sites feature similar weather conductions and both pure and mixed forests of the same age. The tree density of PT × RP was moderate at the Ansai site but higher at the Changwu site compared to PT and RP. We quantitatively measured the throughfall (Tf), stemflow (Sf), and interception loss (Ic) for the forests at the two sites during the growing season (May–October, 2022), and simulated Ic using the Revised Gash Analytical Model (RGAM) and Liu model. The results showed that measured Ic for PT × RP (26.0% of the total gross rainfall, Pg) was larger than for RP (22.0% of Pg) but smaller than for PT (27.8% of Pg) at the Ansai site, and vice versa for the Tf and Sf (RP > PT × RP > PT), while the measured Ic for PT × RP (33.7% of Pg) at the Changwu site was larger than both for PT (31.1% of Pg) and RP (19.5% of Pg). The Tf and Sf for PT × RP was smaller than for PT and RP. Given the similar weather conditions, differences in Ic for the pure and mixed forests at each site were attributed to canopy storage capacity, wet canopy evaporation rate, and tree density. Additionally, the RGAM and the Liu model effectively simulated and captured the differences in Ic for PT, RP, and PT × RP. However, the RGAM performed better with a relative error less than −7.3%, Nash‐Sutcliffe model efficiency ranging from 0.82 to 0.95, and root mean square error less than 0.5 mm. According to the RGAM, evaporation from the wet canopy during rainfall events and after rainfall cessation were the two most influential components. The results of this study suggest that mixed forest can optimize rainfall partitioning compared to pure forests, but a reasonable density should be adopted to increase rainwater replenishment to the forest floor.

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Section: Discussionsupporting

confidence: 85%

Section: Sensitivity Analysissupporting

confidence: 88%

\overline{E}

\overline{R}

) (Crockford & Richardson, 2000; Ma et al, 2019; Magliano et al, 2019).…”

Section: Discussioncontrasting

confidence: 52%

Section: Sensitivity Analysismentioning

confidence: 99%

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Comparisons of rainfall partitioning and canopy interception modelling in pure and mixed forests on the Chinese Loess Plateau

Wu,

Zhu,

Zhang

et al. 2024

Hydrological Processes

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“…TF first increased and then began to stabilize with the increase in rainfall intensity. In short rainfall events, TF is composed solely of, or is at least dominated by, free TF-that is, TF that passes directly through gaps in the canopy (Dewalle et al, 1997).…”

Section: Factors Affecting the Distribution Of Tf Variabilitymentioning

confidence: 99%

Spatial distribution and drivers of throughfall beneath shrub canopies in a semi‐arid desert steppe

Chen

Xinguo

et al. 2023

Water & Environment J

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The spatial distribution of water is mainly controlled by the vegetation canopy, which determines the partitioning of rainfall into interception, throughfall (TF) and stemflow. TF is known to be a critical component of hydrological and biogeochemical cycles. Spatiotemporal patterns of TF have been studied in different ecosystems, although the majority of studies focused on forests. Few reports on small‐scale TF variability and drivers in semi‐arid desert steppes have been published. Herein, we investigated the variability of TF of two morphologically distinct artificial revegetation shrubs (Caragana liouana and Salix psammophila) within a semi‐arid desert steppe, synthesized the data and analysed the characteristics of TF distribution and drivers at the rainfall event scales. We found that (1) morphological differences were sufficient to generate significant (p < 0.05) differences in TF between the two shrub species under the same rainfall and meteorological conditions, with a TF percentage of 70.22% for C. liouana and 79.87% for S. psammophila; (2) a linear outward radical increase in TF was identified with increasing distance from the base of the isolated shrubs. Wind speed had a greater effect on the distribution of TF beneath the shrub structure for C. liouana, whereas the distribution of TF beneath the shrub structure for S. psammophila was more affected by wind direction; and (3) canopy architecture, in particular the stem angle and canopy base area, which affected the openness of the canopy and played an important role in the distribution of TF in the two shrubs. The results reveal the key factors driving water use under rainfall during revegetation and the TF utilization mechanism in semi‐arid areas and highlight the complementary effect of different species on ecosystem hydrological functions.

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Modelling rainfall interception losses of three plantations in the Loess Plateau

Wei,

Song,

et al. 2024

Hydrological Processes

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The forest canopy affects the water entering the forest ecosystem by intercepting rainfall. This is especially pertinent in forests that depend on rainfall for their ecological water needs, quantifying and simulating interception losses provide critical insights into their ecological hydrological processes. In the semi‐arid areas of the Loess Plateau, afforestation has become an effective ecological restoration measure. However, the rainfall interception process of these plantations is still unclear. To quantify and model the canopy interception of these plantations, we conducted a two‐year rainfall redistribution measurement experiment in three typical plantations, including a deciduous broadleaf plantation (Robinia pseudoacacia) and two evergreen coniferous plantations (Platycladus orientalis and Pinus tabuliformis). Based on this, the revised Gash model was used to simulate their interception losses, and the model applicability across varying rainfall types was further compared and verified. The experiment clarified the rainfall redistribution in the three plantations, and the proportions of throughfall to gross rainfall in Robinia pseudoacacia, Platycladus orientalis, and Pinus tabuliformis were 84.8%, 70.4%, and 75.6%; corresponding, the stemflow proportions were 2.0%, 2.2%, and 1.8%; the interception losses were 13.2%, 27.4%, and 22.6%, respectively. The dominant rainfall pattern during the experiment was characterized by low‐amounts, moderate‐intensity, and short‐duration, during which the highest interception proportions across the three plantations were observed. We used the Penman‐Monteith equation and the regression method, respectively, to estimate the canopy average evaporation rate of the revised Gash model, finding that the latter provides a closer match to the measured cumulative interception (NSE >0.7). When simulating interception under the three rainfall patterns, the model with the regression method better simulated the cumulative interception and event‐scale interception for Platycladus orientalis and Pinus tabuliformis plantations under the dominant rainfall pattern. The results contribute valuable information to assess the impact of forest rainfall interception on regional hydrologic processes.

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Throughfall and its spatial heterogeneity in a black locust (Robinia pseudoacacia) plantation in the semi-arid loess region, China

Cited by 13 publications

References 66 publications

Comparisons of rainfall partitioning and canopy interception modelling in pure and mixed forests on the Chinese Loess Plateau

Comparisons of rainfall partitioning and canopy interception modelling in pure and mixed forests on the Chinese Loess Plateau

Spatial distribution and drivers of throughfall beneath shrub canopies in a semi‐arid desert steppe

Modelling rainfall interception losses of three plantations in the Loess Plateau

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