Changes of Rainfall Partitioning and Canopy Interception Modeling after Progressive Thinning in Two Shrub Plantations on the Chinese Loess Plateau

Niu, Xiaotao; Fan, Jun; Du, Mengge; Dai, Zijun; Luo, Ruihua; Yuan, Hongyou; Zhang, Shougang

doi:10.1016/j.jhydrol.2023.129299

Cited by 13 publications

(18 citation statements)

References 61 publications

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“…To explore the relative importance of the parameters in the two models, a sensitivity analysis was conducted with respect to five parameters (S, c, E=R, P t , S t ) in the RGAM and three parameters (S, c, E=R) in the Liu model (Figure 8). 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 2020), smaller basal area caused the larger T f in the study by Wang et al (2013). The T f for PT Â RP at the Ansai site was larger than for PT but smaller than for RP (Table 3), aligning with the results of other studies that reported the T f for RP is larger than for PT at the same or similar tree density (Ding et al, 2021;Li et al, 2020;Ma et al, 2019).…”

Section: Sensitivity Analysissupporting

confidence: 87%

“…After removing the heavy rainfall events (>50 mm day À1 ), the simulated I c values for individual rainfall events estimated using the RGAM were evenly distributed around the 1:1 line (simulated I c : measured I c ; Figures 4 and 5) and cumulative simulated and measured I c were also well fitted (Figures 5 and 6). Heavy rainfall events tend to cause larger underestimation of I c , as reported by many studies (Fathizadeh et al, 2018;Ma et al, 2019;Niu et al, 2023). The NSE values for the RGAM were comparable to other studies (0.56-0.93) conducted in temperate forests (Fan et al, 2014;Ma et al, 2019).…”

Section: Performance Of the Rgam And Liu Modelsupporting

confidence: 86%

“…The measured T f values for PT at the Ansai and Changwu sites (Table 3) were both smaller than reported by Ma et al (2019) in Fufeng, Shaan'xi Province (75.3% of P g ). 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 ).…”

Section: Discussionmentioning

confidence: 99%

“…rainfall event from the canopy (Niu et al, 2023). To calculate I c for a forest, canopy and climatic parameters are required in the RGAM, along with the rainfall that saturates the canopy.…”

Section: Components Of Simulated Interception Loss Formulamentioning

confidence: 99%

“…Changes in either canopy structural or climatic characteristics can lead to high variability in I c (He et al, 2014;Linhoss & Siegert, 2016;Návar, 2017). Previous studies concluded that forests with large basal area and higher tree density intercept more rainwater (Ma et al, 2019) and that the proportion of I c to total P g increases with decreasing rainfall amount (Niu et al, 2023;Wei et al, 2020).…”

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: Sensitivity Analysissupporting

confidence: 87%

Section: Performance Of the Rgam And Liu Modelsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Components Of Simulated Interception Loss Formulamentioning

confidence: 99%

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 characteristics by two sand‐binding shrubs and their impact on shallow soil moisture replenishment in the Northwestern desert steppe of China

Chen,

Yang

et al. 2024

Ecohydrology

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Rainfall partitioning by the vegetation canopy into stemflow (SF) and throughfall (TF) plays a crucial role in soil infiltration and the local water balance. This study aims to quantify the differences in SF and TF between two sand‐binding shrubs, Caragana liouana and Salix psammophila, in the desert steppe, clarify the effects of biotic and abiotic factors on them using the boosted regression trees (BRT) model, and compare soil moisture replenishment during the growing seasons of 2021 and 2022. Under identical rainfall conditions, the canopies of C. liouana and S. psammophila can lead to differences in rainfall partitioning. The SF percentage ranged from 0 to 23.70% for C. liouana and from 0% to 3.3% for S. psammophila, respectively, while the TF percentage ranged from 42.12% to 90.07% for C. liouana and from 52.39% to 94.87% for S. psammophila. The funnelling ratio for C. liouana (69.59) is 1.19 times higher than for S. psammophila (58.36). Rainfall amount is the primary variable affecting rainfall partitioning. The average soil moisture replenishment and soil moisture conversion efficiency under the C. liouana canopy are 11.02 mm and 58.39%, respectively, which are significantly higher than those for S. psammophila (4.84 mm and 24.33%, respectively). These findings suggest that C. liouana, with its relatively higher SF and soil moisture conversion capability compared to S. psammophila, plays a significant ecohydrological role in water‐limited ecosystems. This study provides a reference for species selection and ecological management in vegetation restoration efforts in desert steppes and similar regions.

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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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Changes of Rainfall Partitioning and Canopy Interception Modeling after Progressive Thinning in Two Shrub Plantations on the Chinese Loess Plateau

Cited by 13 publications

References 61 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

Rainfall partitioning characteristics by two sand‐binding shrubs and their impact on shallow soil moisture replenishment in the Northwestern desert steppe of China

Modelling rainfall interception losses of three plantations in the Loess Plateau

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