Species and spatial differences in vegetation rainfall interception capacity: A synthesis and meta-analysis in China

Zhang, Qiufen; Lv, Xizhi; Yu, Xinxiao; Ni, Yongxin; Ma, Li; Liu, Ziqiang

doi:10.1016/j.catena.2022.106223

Cited by 26 publications

(20 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Introductionmentioning

confidence: 99%

“…Interception, an vital component of regional water resources, accounts for 9%–60% of total rainfall (Llorens et al, 1997; Ma et al, 2020; Wei et al, 2020), and determines the net rainfall reaching the ground, thereby affecting water yield, soil erosion and other processes in forests (Zhang et al, 2022). Canopy interception is influenced by various factors, including species, structure, morphology, and meteorology (Gash et al, 1995; Nooraei Beidokhti & Moore, 2021; Zhang et al, 2022). Species exhibit diverse interception characteristics in different regions due to environmental factors such as climate and site conditions (Linhoss & Siegert, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…For example, the leaf area of deciduous plants significantly influences interannual variations of canopy interception, with higher interception levels observed during the growing season than in the dormant season (Yue et al, 2021). Climate is also a critical variable affecting rainfall interception; for instance, vegetation in arid areas shows higher interception rates than in humid areas (Zhang et al, 2022). Canopy interception is closely related to rainfall patterns (Grunicke et al, 2020; Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Climate is also a critical variable affecting rainfall interception; for instance, vegetation in arid areas shows higher interception rates than in humid areas (Zhang et al, 2022). Canopy interception is closely related to rainfall patterns (Grunicke et al, 2020; Zhang et al, 2022). Precipitation can significantly influence canopy interception, and studies suggested that rainfall amount, as the most critical variable, dominates the rainfall redistribution by the canopy (Staelens et al, 2008; Yu et al, 2022; Zabret & Sraj, 2019).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modelling rainfall interception losses of three plantations in the Loess Plateau

Wei,

Song,

et al. 2024

Hydrological Processes

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling rainfall interception losses of three plantations in the Loess Plateau

Wei,

Song,

et al. 2024

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…The interception capacity can be estimated using direct methods such as the cantilever, which is based on the cantilever deflection of a water-laden branch [28,29], or by weighting vegetative surfaces after artificial wetting [30,31]. In contrast, indirect methods refer to model optimization, graphical estimation [32][33][34], interception capacity estimation by the differences between the gross rainfall above the canopy and the throughfall and stemflow components, as first suggested by Helvey and Patric [35], or to the most common regressionbased approaches between rainfall and throughfall [33,36].…”

Section: Introductionmentioning

confidence: 99%

Measuring and Modelling Evaporation Losses from Wet Branches of Lemon Trees

Baiamonte

Palermo

2022

Hydrology

View full text Add to dashboard Cite

Evaporation losses of rainfall intercepted by canopies depend on many factors, including the temporal scale of observations. At the event scale, interception is a few millimetres, whereas at a larger temporal scale, the number of times that a canopy is filled by rainfall and then depleted can make the interception an important fraction of the rainfall depth. Recently, a simplified interception/evaporation model has been proposed, which considers a modified Merrian model to compute interception during wet spells and a simple power-law equation to model evaporation from wet canopy during dry spells. Modelling evaporation process at the sub hourly temporal scale required the two parameters of the power-law, describing the hourly evaporation depth and the evaporation rate. In this paper, for branches of lemon trees, we focused on the evaporation process from wet branches starting from the interception capacity, S, and simple models in addition to the power-law were applied and tested. In particular, for different temperature, T, and vapour pressure deficit, VPD, conditions, numerous experimental testes were carried out, and the two parameters describing the evaporation process from wet branches were determined and linked to T, VPD and S. The results obtained in this work help us to understand the studied process, highlight its complexity, and could be implemented in the recently introduced interception/evaporation model to quantify this important component of the hydrologic cycle.

show abstract

Aboveground biomass determines canopy rainfall interception loss in Semiarid Grassland Communities

Luo,

Yang,

Zhou

et al. 2024

Ecohydrology

View full text Add to dashboard Cite

Canopy rainfall interception is one key hydrological process, affecting rainwater redistribution and effectiveness in semiarid regions. Canopy rainfall interception loss is jointly influenced by meteorology, vegetation and topography. The canopy water storage capacity (S), rainfall interception depth (Im) and ratio (I%) and vegetation characteristics, together with topographic factors of three grassland communities (dominated by Bothriochloa ischaemum, Lespedeza davurica and Artemisia gmelinii, respectively) were investigated on the Loess Plateau of China during the main growing season (June to September). Results showed that Im ranged from 0.55 to 0.89 mm and I% ranged from 6.14% to 12.1%, with the maximum values occurring in August for three communities, and A. gmelinii community had the largest Im (0.89 mm) and I% (12.1%). The Im and I% were positively correlated with aboveground biomass (AGB), coverage (Cov), leaf area index (LAI), community‐weighted mean height (CWMH) and altitude (Alt), but negatively correlated with slope degree and rainfall intensity (RI). Hierarchical partitioning analysis (HPA) showed that AGB had the highest contribution for Im (20.3%), while Alt had the highest contribution for I% (18.2%). The regression models based on forward selection could effectively predict the values of Im (R2 = 0.802, RMSE = 0.049) and I% (R2 = 0.546, RMSE = 1.434). Topographic factors (altitude, slope degree and aspect) indirectly influenced both Im and I% by modulating vegetation characteristics (AGB, Cov, etc.). All these indicated that aboveground biomass mainly determines grassland community rainfall interception loss in the semiarid Loess Plateau.

show abstract

Species and spatial differences in vegetation rainfall interception capacity: A synthesis and meta-analysis in China

Cited by 26 publications

References 59 publications

Modelling rainfall interception losses of three plantations in the Loess Plateau

Modelling rainfall interception losses of three plantations in the Loess Plateau

Measuring and Modelling Evaporation Losses from Wet Branches of Lemon Trees

Aboveground biomass determines canopy rainfall interception loss in Semiarid Grassland Communities

Contact Info

Product

Resources

About